diff --git a/Medfl/LearningManager/__pycache__/client.cpython-38.pyc b/Medfl/LearningManager/__pycache__/client.cpython-38.pyc index 75c6c3a..0f2c85a 100644 Binary files a/Medfl/LearningManager/__pycache__/client.cpython-38.pyc and b/Medfl/LearningManager/__pycache__/client.cpython-38.pyc differ diff --git a/Medfl/LearningManager/__pycache__/flpipeline.cpython-38.pyc b/Medfl/LearningManager/__pycache__/flpipeline.cpython-38.pyc index 1390cee..45a0d47 100644 Binary files a/Medfl/LearningManager/__pycache__/flpipeline.cpython-38.pyc and b/Medfl/LearningManager/__pycache__/flpipeline.cpython-38.pyc differ diff --git a/Medfl/LearningManager/__pycache__/model.cpython-38.pyc b/Medfl/LearningManager/__pycache__/model.cpython-38.pyc index 4efa510..f524959 100644 Binary files a/Medfl/LearningManager/__pycache__/model.cpython-38.pyc and b/Medfl/LearningManager/__pycache__/model.cpython-38.pyc differ diff --git a/Medfl/LearningManager/__pycache__/plot.cpython-38.pyc b/Medfl/LearningManager/__pycache__/plot.cpython-38.pyc index 4efbdd5..16a6bbc 100644 Binary files a/Medfl/LearningManager/__pycache__/plot.cpython-38.pyc and b/Medfl/LearningManager/__pycache__/plot.cpython-38.pyc differ diff --git a/Medfl/LearningManager/__pycache__/server.cpython-38.pyc b/Medfl/LearningManager/__pycache__/server.cpython-38.pyc index 6436c8d..5855ef1 100644 Binary files a/Medfl/LearningManager/__pycache__/server.cpython-38.pyc and b/Medfl/LearningManager/__pycache__/server.cpython-38.pyc differ diff --git a/Medfl/LearningManager/__pycache__/utils.cpython-38.pyc b/Medfl/LearningManager/__pycache__/utils.cpython-38.pyc index 99a2fa9..531e6a8 100644 Binary files a/Medfl/LearningManager/__pycache__/utils.cpython-38.pyc and b/Medfl/LearningManager/__pycache__/utils.cpython-38.pyc differ diff --git a/Medfl/LearningManager/flpipeline.py b/Medfl/LearningManager/flpipeline.py index 9b0b4fa..f799df9 100644 --- a/Medfl/LearningManager/flpipeline.py +++ b/Medfl/LearningManager/flpipeline.py @@ -7,6 +7,7 @@ # File: create_query.py from sqlalchemy import text from torch.utils.data import DataLoader, TensorDataset +import torch from Medfl.LearningManager.server import FlowerServer from Medfl.LearningManager.utils import params, test @@ -99,7 +100,8 @@ def delete(self) -> None: # Placeholder code for deleting the FLpipeline entry from the database based on the name. # You need to implement the actual deletion based on your database setup. my_eng.execute(DELETE_FLPIPELINE_QUERY.format(self.name)) - + + def test_by_node(self, node_name: str, test_frac=1) -> dict: """ Test the FLpipeline by node with the specified test_frac. @@ -117,22 +119,28 @@ def test_by_node(self, node_name: str, test_frac=1) -> dict: self.server.global_model, self.server.fed_dataset.testloaders[idx], ) + + # Move model to GPU if available + device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + global_model.model.to(device) + + # Prepare test data test_data = test_loader.dataset - test_data = TensorDataset( - test_data[: int(test_frac * len(test_data))][0], - test_data[: int(test_frac * len(test_data))][1], - ) - test_loader = DataLoader( - test_data, batch_size=params["test_batch_size"] - ) - classification_report = test( - model=global_model.model, test_loader=test_loader - ) + num_samples = int(test_frac * len(test_data)) + test_data = TensorDataset(test_data[:num_samples][0].to(device), test_data[:num_samples][1].to(device)) + + # Create DataLoader for test data + test_loader = DataLoader(test_data, batch_size=params["test_batch_size"]) + + # Perform testing + classification_report = test(model=global_model.model, test_loader=test_loader, device=device) + return { "node_name": node_name, "classification_report": str(classification_report), } + def auto_test(self, test_frac=1) -> List[dict]: """ Automatically test the FLpipeline on all nodes with the specified test_frac. diff --git a/Medfl/LearningManager/model.py b/Medfl/LearningManager/model.py index 97cc641..75f054b 100644 --- a/Medfl/LearningManager/model.py +++ b/Medfl/LearningManager/model.py @@ -159,9 +159,7 @@ def evaluate(self, val_loader, device=torch.device("cpu")) -> Tuple[float, float X_test, y_test = X_test.to(device), y_test.to(device) # Move data to device y_hat = torch.squeeze(self.model(X_test), 1) - print('/////////////////////////////////////////////////////////////////////') - print(y_hat.device) - print(y_test.device) + criterion = self.criterion.to(y_hat.device) loss += criterion(y_hat, y_test).item() diff --git a/Medfl/LearningManager/params.yaml b/Medfl/LearningManager/params.yaml index 73fe76f..17079c1 100644 --- a/Medfl/LearningManager/params.yaml +++ b/Medfl/LearningManager/params.yaml @@ -1,22 +1,14 @@ - ---- - task : BinaryClassification - optimizer : SGD - train_batch_size : 32 - test_batch_size : 1 - train_epochs : 116 - lr : 0.01 - diff_privacy: True - MAX_GRAD_NORM: 1.0 - EPSILON: 5.0 - DELTA: 1e-5 - num_rounds: 12 - min_evalclient: 2 - # path_to_master_csv : 'D:\ESI\3CS\PFE\last_year\Code\MEDfl\notebooks\sapsii_score_knnimputed_eicu.csv' - path_to_master_csv : '/home/local/USHERBROOKE/saho6810/MEDfl/code/MEDfl/notebooks/data/masterDataSet/Mimic_ouael.csv' - - path_to_test_csv : '/home/local/USHERBROOKE/saho6810/MEDfl/code/MEDfl/notebooks/data/masterDataSet/Mimic_train.csv' - -... - - +DELTA: 1e-5 +EPSILON: 5.2 +MAX_GRAD_NORM: 1.0 +diff_privacy: true +lr: 0.01 +min_evalclient: 2 +num_rounds: 12 +optimizer: SGD +path_to_master_csv: /home/local/USHERBROOKE/saho6810/MEDfl/code/MEDfl/notebooks/data/masterDataSet/Mimic_ouael.csv +path_to_test_csv: /home/local/USHERBROOKE/saho6810/MEDfl/code/MEDfl/notebooks/data/masterDataSet/Mimic_train.csv +task: BinaryClassification +test_batch_size: 1 +train_batch_size: 32 +train_epochs: 116 diff --git a/Medfl/LearningManager/server.py b/Medfl/LearningManager/server.py index 28e4469..303a333 100644 --- a/Medfl/LearningManager/server.py +++ b/Medfl/LearningManager/server.py @@ -110,18 +110,11 @@ def client_fn(self, cid) -> FlowerClient: Returns: FlowerClient: A FlowerClient object representing the individual client. """ - print('////////////////////////////////////////////////////////////////////////////////////////////////////////') - print("i m here") + device = torch.device( f"cuda:{int(cid) % 4}" if torch.cuda.is_available() else "cpu" ) client_model = copy.deepcopy(self.global_model) - - - if device.type == 'cuda': - print("the model is runing on CUDA") - else: - print("the model is runing on CPU") trainloader = self.fed_dataset.trainloaders[int(cid)] valloader = self.fed_dataset.valloaders[int(cid)] @@ -158,9 +151,7 @@ def evaluate( self.auc.append(auc) self.losses.append(loss) self.accuracies.append(accuracy) - # if(server_round > 1 ): - # self.strategy.study.tell(server_round-1 , accuracy) - # print(f"Server-side evaluation loss {loss} / accuracy {accuracy}") + return loss, {"accuracy": accuracy} def run(self) -> None: diff --git a/Medfl/LearningManager/utils.py b/Medfl/LearningManager/utils.py index 8fe50f0..46388e6 100644 --- a/Medfl/LearningManager/utils.py +++ b/Medfl/LearningManager/utils.py @@ -21,7 +21,7 @@ global_params = yaml.load(g, Loader=SafeLoader) -def custom_classification_report(y_true, y_pred): +def custom_classification_report(y_true, y_pred_prob): """ Compute custom classification report metrics including accuracy, sensitivity, specificity, precision, NPV, F1-score, false positive rate, and true positive rate. @@ -33,6 +33,9 @@ def custom_classification_report(y_true, y_pred): Returns: dict: A dictionary containing custom classification report metrics. """ + y_pred = y_pred_prob.round() + + auc = roc_auc_score(y_true, y_pred_prob) # Calculate AUC tn, fp, fn, tp = confusion_matrix(y_true, y_pred).ravel() @@ -78,6 +81,7 @@ def custom_classification_report(y_true, y_pred): "F1-score": round(f1, 3), "False positive rate": round(fpr, 3), "True positive rate": round(tpr, 3), + "auc": auc } @@ -96,10 +100,10 @@ def test(model, test_loader, device=torch.device("cpu")): model.eval() with torch.no_grad(): - X_test, y_test = test_loader.dataset[:][0], test_loader.dataset[:][1] - y_hat = torch.squeeze(model(X_test), 1).round() + X_test, y_test = test_loader.dataset[:][0].to(device), test_loader.dataset[:][1].to(device) + y_hat_prob = torch.squeeze(model(X_test), 1).cpu() - return custom_classification_report(y_test, y_hat) + return custom_classification_report(y_test.cpu().numpy(), y_hat_prob.cpu().numpy()) column_map = {"object": "VARCHAR(255)", "int64": "INT", "float64": "FLOAT"} diff --git a/notebooks/banchmarking/MEDfl_benchmarks.ipynb b/notebooks/banchmarking/MEDfl_benchmarks.ipynb index cc62526..8528596 100644 --- a/notebooks/banchmarking/MEDfl_benchmarks.ipynb +++ b/notebooks/banchmarking/MEDfl_benchmarks.ipynb @@ -24,7 +24,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "2024-03-25 15:54:03.195433: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", + "2024-03-25 20:12:29.288774: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n" ] } @@ -125,7 +125,7 @@ "outputs": [], "source": [ "# The number of server rounds\n", - "n_rounds = [2 , 3]" + "n_rounds = [5 , 10,30]" ] }, { @@ -145,7 +145,7 @@ " # The rest of the config\n", " \"n_clients\": 10,\n", " \"train_test\": True,\n", - " \"Train_portion\": 0.5,\n", + " \"train_portion\": 0.5,\n", " \"aggreg_algo\": \"FedAvg\",\n", " \"Tl\": True,\n", " },\n", @@ -158,7 +158,7 @@ " # The rest of the config\n", " \"n_clients\": 10,\n", " \"train_test\": True,\n", - " \"Train_portion\": 0.5,\n", + " \"train_portion\": 0.5,\n", " \"aggreg_algo\": \"FedAvg\",\n", " \"Tl\": True,\n", " },\n", @@ -171,7 +171,7 @@ " # The rest of the config\n", " \"n_clients\": 10,\n", " \"train_test\": True,\n", - " \"Train_portion\": 0.5,\n", + " \"train_portion\": 0.5,\n", " \"aggreg_algo\": \"FedAvg\",\n", " \"Tl\": True,\n", " },\n", @@ -184,7 +184,7 @@ " # The rest of the config\n", " \"n_clients\": 10,\n", " \"train_test\": True,\n", - " \"Train_portion\": 0.5,\n", + " \"train_portion\": 0.5,\n", " \"aggreg_algo\": \"FedAvg\",\n", " \"Tl\": True,\n", " },\n", @@ -197,7 +197,7 @@ " # The rest of the config\n", " \"n_clients\": 10,\n", " \"train_test\": True,\n", - " \"Train_portion\": 0.5,\n", + " \"train_portion\": 0.5,\n", " \"aggreg_algo\": \"FedAvg\",\n", " \"Tl\": True,\n", " }\n", @@ -338,9 +338,7 @@ " ],\n", " # * 5 . Combine the configurations \n", " # *******************************************\n", - " \"combined_config\": [{\n", - " \n", - " }]\n", + " \"combined_config\": []\n", "}" ] }, @@ -350,32 +348,59 @@ "metadata": {}, "outputs": [], "source": [ - "benchmarks_config = {\n", - " \"diff_privacy\" : [\n", - " {\n", - " # DP config\n", - " \"dp_activate\": False,\n", - "\n", - " # The rest of the config\n", - " \"n_clients\": 10,\n", - " \"train_test\": True,\n", - " \"train_portion\": 0.5,\n", - " \"aggreg_algo\": \"FedYogi\",\n", - " \"Tl\": False,\n", - " },\n", - " {\n", - " # DP config\n", - " \"dp_activate\": False,\n", - "\n", - " # The rest of the config\n", - " \"n_clients\": 10,\n", - " \"train_test\": True,\n", - " \"train_portion\": 0.5,\n", - " \"aggreg_algo\": \"FedAvg\",\n", - " \"Tl\": False,\n", - " } \n", - " ]\n", - "}" + "# benchmarks_config = {\n", + "# \"diff_privacy\" : [\n", + "# {\n", + "# # DP config\n", + "# \"dp_activate\": True,\n", + "# \"DELTA\": 1e-5,\n", + "# \"EPSILON\": 5.0,\n", + "\n", + "# # The rest of the config\n", + "# \"n_clients\": 10,\n", + "# \"train_test\": True,\n", + "# \"train_portion\": 0.5,\n", + "# \"aggreg_algo\": \"FedAvg\",\n", + "# \"Tl\": True,\n", + "# },\n", + "# {\n", + "# # DP config\n", + "# \"dp_activate\": False,\n", + "\n", + "# # The rest of the config\n", + "# \"n_clients\": 10,\n", + "# \"train_test\": True,\n", + "# \"train_portion\": 0.5,\n", + "# \"aggreg_algo\": \"FedAvg\",\n", + "# \"Tl\": True,\n", + "# }\n", + "\n", + "# ] , \n", + "# \"n_clients\": [\n", + "# {\n", + "# # Number of clients\n", + "# \"n_clients\": 5,\n", + "\n", + "# # The rest of the config\n", + "# \"train_test\": True,\n", + "# \"train_portion\": 0.5,\n", + "# \"aggreg_algo\": \"FedAvg\",\n", + "# \"dp_activate\": False,\n", + "# \"Tl\": True,\n", + "# },\n", + "# {\n", + "# # Number of clients\n", + "# \"n_clients\": 10,\n", + "\n", + "# # The rest of the config\n", + "# \"train_test\": True,\n", + "# \"train_portion\": 0.5,\n", + "# \"aggreg_algo\": \"FedAvg\",\n", + "# \"dp_activate\": False,\n", + "# \"Tl\": True,\n", + "# },\n", + "# ],\n", + "# }" ] }, { @@ -424,7 +449,7 @@ "text": [ "Executing the: diff_privacy configurations\n", "Executing th confuguration\n", - "{'dp_activate': False, 'n_clients': 10, 'train_test': True, 'train_portion': 0.5, 'aggreg_algo': 'FedYogi', 'Tl': False}\n" + "{'dp_activate': False, 'n_clients': 10, 'train_test': True, 'Train_portion': 0.5, 'aggreg_algo': 'FedAvg', 'Tl': True}\n" ] }, { @@ -443,13977 +468,14 @@ ] }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO flwr 2024-03-25 15:54:58,699 | app.py:178 | Starting Flower simulation, config: ServerConfig(num_rounds=2, round_timeout=None)\n", - "03/25/2024 15:54:58:INFO:Starting Flower simulation, config: ServerConfig(num_rounds=2, round_timeout=None)\n", - "2024-03-25 15:55:01,248\tINFO worker.py:1621 -- Started a local Ray instance.\n", - "INFO flwr 2024-03-25 15:55:03,680 | app.py:213 | Flower VCE: Ray initialized with resources: {'memory': 38158905754.0, 'node:__internal_head__': 1.0, 'CPU': 24.0, 'accelerator_type:G': 1.0, 'GPU': 1.0, 'node:10.44.86.57': 1.0, 'object_store_memory': 78643200.0}\n", - "03/25/2024 15:55:03:INFO:Flower VCE: Ray initialized with resources: {'memory': 38158905754.0, 'node:__internal_head__': 1.0, 'CPU': 24.0, 'accelerator_type:G': 1.0, 'GPU': 1.0, 'node:10.44.86.57': 1.0, 'object_store_memory': 78643200.0}\n", - "INFO flwr 2024-03-25 15:55:03,681 | app.py:219 | Optimize your simulation with Flower VCE: https://flower.dev/docs/framework/how-to-run-simulations.html\n", - "03/25/2024 15:55:03:INFO:Optimize your simulation with Flower VCE: https://flower.dev/docs/framework/how-to-run-simulations.html\n", - "INFO flwr 2024-03-25 15:55:03,681 | app.py:242 | Flower VCE: Resources for each Virtual Client: {'num_cpus': 1.0, 'num_gpus': 1.0}\n", - "03/25/2024 15:55:03:INFO:Flower VCE: Resources for each Virtual Client: {'num_cpus': 1.0, 'num_gpus': 1.0}\n", - "INFO flwr 2024-03-25 15:55:03,688 | app.py:288 | Flower VCE: Creating VirtualClientEngineActorPool with 1 actors\n", - "03/25/2024 15:55:03:INFO:Flower VCE: Creating VirtualClientEngineActorPool with 1 actors\n", - "INFO flwr 2024-03-25 15:55:03,689 | server.py:89 | Initializing global parameters\n", - "03/25/2024 15:55:03:INFO:Initializing global parameters\n", - "INFO flwr 2024-03-25 15:55:03,689 | server.py:272 | Using initial parameters provided by strategy\n", - "03/25/2024 15:55:03:INFO:Using initial parameters provided by strategy\n", - "INFO flwr 2024-03-25 15:55:03,690 | server.py:91 | Evaluating initial parameters\n", - "03/25/2024 15:55:03:INFO:Evaluating initial parameters\n", - "INFO flwr 2024-03-25 15:55:03,716 | server.py:94 | initial parameters (loss, other metrics): 0.03725476183143316, {'accuracy': 0.7057291666666666}\n", - "03/25/2024 15:55:03:INFO:initial parameters (loss, other metrics): 0.03725476183143316, {'accuracy': 0.7057291666666666}\n", - "INFO flwr 2024-03-25 15:55:03,717 | server.py:104 | FL starting\n", - "03/25/2024 15:55:03:INFO:FL starting\n", - "DEBUG flwr 2024-03-25 15:55:03,718 | server.py:222 | fit_round 1: strategy sampled 5 clients (out of 5)\n", - "03/25/2024 15:55:03:DEBUG:fit_round 1: strategy sampled 5 clients (out of 5)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/MEDfl/code/MEDfl/Medfl/LearningManager/utils.py:19: DeprecationWarning: Use of .. or absolute path in a resource path is not allowed and will raise exceptions in a future release.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m global_yaml_path = pkg_resources.resource_filename(__name__, \"../../global_params.yaml\")\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m [Client 3] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.182699 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.960182 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.766519 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.738490 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.761339 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.730279 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.752457 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.722478 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.750442 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.724182 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.744460 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.716577 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.742342 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.713758 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.739839 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.712592 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.736447 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.712094 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.737030 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.710778 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.734168 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.705664 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.727365 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.720047 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.729602 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.705121 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.727089 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.701225 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.723745 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.700249 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.720599 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.699386 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.716289 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.698367 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.712527 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.693014 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.712316 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.692144 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.710754 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.690085 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.707282 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.683702 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.703000 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.682425 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.705719 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.683091 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.700455 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.680442 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.701629 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.678258 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.699970 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.680805 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.699291 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.675362 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.698806 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.675246 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.708545 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.679109 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.697343 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.672128 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.692890 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.674070 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.695098 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.676869 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.691162 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.664986 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.691135 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.675875 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.694944 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.696558 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.692065 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.668733 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.692090 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.680634 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.682833 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.659552 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.682540 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.645233 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.681359 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.657816 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.675947 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.654167 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.676978 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.649967 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.669357 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.640390 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.708352 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.663139 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.688590 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.652387 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.683015 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.655346 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.685767 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.642915 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.684704 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.644429 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.668787 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.662737 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.688489 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.650375 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 50 \tLoss: 0.677825 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 50 \tLoss: 0.640129 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 51 \tLoss: 0.699523 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 51 \tLoss: 0.651525 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 52 \tLoss: 0.682848 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 52 \tLoss: 0.641088 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 53 \tLoss: 0.682856 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 53 \tLoss: 0.644466 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 54 \tLoss: 0.670376 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 54 \tLoss: 0.637642 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 55 \tLoss: 0.666751 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 55 \tLoss: 0.643850 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 56 \tLoss: 0.659962 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 56 \tLoss: 0.623006 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 57 \tLoss: 0.647973 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 57 \tLoss: 0.621553 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 58 \tLoss: 0.663971 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 58 \tLoss: 0.624482 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 59 \tLoss: 0.661264 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 59 \tLoss: 0.625262 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 60 \tLoss: 0.659626 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 60 \tLoss: 0.620669 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 61 \tLoss: 0.716386 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 61 \tLoss: 0.651336 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 62 \tLoss: 0.666603 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 62 \tLoss: 0.637147 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 63 \tLoss: 0.677050 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 63 \tLoss: 0.638589 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 64 \tLoss: 0.683792 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 64 \tLoss: 0.638355 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 65 \tLoss: 0.670986 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 65 \tLoss: 0.635032 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 66 \tLoss: 0.654616 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 66 \tLoss: 0.623281 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 67 \tLoss: 0.657443 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 67 \tLoss: 0.621625 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 68 \tLoss: 0.644085 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 68 \tLoss: 0.624382 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 69 \tLoss: 0.643005 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 69 \tLoss: 0.610133 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 70 \tLoss: 0.644907 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 70 \tLoss: 0.611541 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 71 \tLoss: 0.652113 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 71 \tLoss: 0.619317 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 72 \tLoss: 0.650984 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 72 \tLoss: 0.615511 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 73 \tLoss: 0.663008 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 73 \tLoss: 0.623968 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 74 \tLoss: 0.657153 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 74 \tLoss: 0.622990 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 75 \tLoss: 0.636658 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 75 \tLoss: 0.607419 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 76 \tLoss: 0.670200 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 76 \tLoss: 0.626196 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 77 \tLoss: 0.640698 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 77 \tLoss: 0.606619 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.644965 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.605522 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.677329 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.630100 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.650419 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.612820 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.653157 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.615842 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.631237 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.638617 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.666492 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.626213 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.760558 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.709597 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.647886 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.615089 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.648283 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.605983 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.647856 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.611386 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.672268 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.620181 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.642578 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.606067 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.637694 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.598473 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.645852 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.604205 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.647510 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.618045 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.643175 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.612626 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.629909 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.598051 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.633747 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.631561 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.645729 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.617657 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.627855 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.602640 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.626739 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.587116 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.620969 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.587061 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.657887 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.671117 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.631287 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.594237 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.630160 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.595969 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.654242 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.603385 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.658660 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.623174 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.643122 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.595917 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.651032 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.600920 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.642729 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.611992 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.656434 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.621644 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.645389 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.614792 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.619467 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.600319 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.658582 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.606012 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.653600 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.614281 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.623179 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.588845 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.619531 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.582209 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.633797 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.611578 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m epsilon of client 3 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m [Client 1] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.451239 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.163799 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.906256 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.885736 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.898186 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.870939 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.903961 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.888151 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.891032 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.860701 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.887181 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.867324 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.882667 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.852558 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.880841 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.854491 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.880242 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.846405 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.877690 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.846566 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.873855 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.840212 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.874793 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.837839 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.875369 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.834388 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.869064 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.830545 Acc@1: 5.937500\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 63 \tLoss: 0.744630 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 64 \tLoss: 0.774340 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 64 \tLoss: 0.757898 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 65 \tLoss: 0.780809 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 65 \tLoss: 0.744950 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 66 \tLoss: 0.785984 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 66 \tLoss: 0.766781 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 67 \tLoss: 0.781975 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 67 \tLoss: 0.754212 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 68 \tLoss: 0.784827 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 68 \tLoss: 0.752739 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 69 \tLoss: 0.778172 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 69 \tLoss: 0.764310 Acc@1: 1.718750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 70 \tLoss: 0.792406 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 70 \tLoss: 0.768963 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 71 \tLoss: 0.805977 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 71 \tLoss: 0.781253 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 72 \tLoss: 0.785136 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 72 \tLoss: 0.778929 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 73 \tLoss: 0.776850 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 73 \tLoss: 0.757292 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 74 \tLoss: 0.766413 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 74 \tLoss: 0.745941 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 75 \tLoss: 0.755155 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 75 \tLoss: 0.746829 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 76 \tLoss: 0.780695 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 76 \tLoss: 0.760275 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 77 \tLoss: 0.762178 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 77 \tLoss: 0.740468 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.747188 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.743416 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.756527 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.726972 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.747673 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.739198 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.757112 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.727160 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.755454 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.729632 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.749853 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.737711 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.756263 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.737098 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.740617 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.715845 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.766140 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.734913 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.733372 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.719652 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.717230 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.704580 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.721396 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.794588 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.742479 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.713788 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.717816 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.710318 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.744681 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.717014 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.755604 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.748914 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.755712 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.729065 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.720678 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.702623 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.712398 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.705637 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.797049 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.773588 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.801381 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.752725 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.737779 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.720917 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.726465 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.716299 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.723995 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.723203 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.786497 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.747221 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.737922 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.705769 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.729362 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.750560 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.735926 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.736323 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.714808 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.696769 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.700282 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.696323 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.711051 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.687206 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.802832 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.747060 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.707185 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.693874 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.728764 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.720064 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.733952 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.717583 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.752367 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.719145 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.711214 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.687119 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.711499 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.759127 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m epsilon of client 1 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m [Client 4] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.166081 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.932629 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.762465 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.696152 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.748072 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.687570 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.736641 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.683005 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.736997 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.683955 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.726789 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.673025 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.720681 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.669868 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.726178 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.667702 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.721572 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.665280 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.718775 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.659650 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.717704 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.656590 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.714101 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.652900 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.719302 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.653190 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.713703 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.647512 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.705865 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.639642 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.703664 Acc@1: 1.250000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 65 \tLoss: 0.650076 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 65 \tLoss: 0.572844 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 66 \tLoss: 0.692800 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 66 \tLoss: 0.595753 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 67 \tLoss: 0.638669 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 67 \tLoss: 0.560410 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 68 \tLoss: 0.632444 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 68 \tLoss: 0.560954 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 69 \tLoss: 0.634452 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 69 \tLoss: 0.559830 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 70 \tLoss: 0.648333 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 70 \tLoss: 0.561581 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 71 \tLoss: 0.627186 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 71 \tLoss: 0.592284 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 72 \tLoss: 0.657667 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 72 \tLoss: 0.572896 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 73 \tLoss: 0.638902 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 73 \tLoss: 0.567106 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 74 \tLoss: 0.635182 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 74 \tLoss: 0.553489 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 75 \tLoss: 0.631099 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 75 \tLoss: 0.549049 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 76 \tLoss: 0.629169 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 76 \tLoss: 0.558312 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 77 \tLoss: 0.629123 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 77 \tLoss: 0.584254 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.628661 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.548843 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.642259 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.556911 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.686628 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.599494 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.634587 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.554723 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.619286 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.550763 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.619977 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.561227 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.621555 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.566442 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.670528 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.587905 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.657092 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.571319 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.644595 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.560490 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.664931 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.567611 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.637378 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.555293 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.636055 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.552754 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.637305 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.566498 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.631161 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.601597 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.627551 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.560312 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.634088 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.548245 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.622249 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.545182 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.605096 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.551129 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.642421 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.558269 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.640810 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.554322 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.635668 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.552132 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.659948 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.575193 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.606801 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.568526 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.621930 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.555867 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.648414 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.570929 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.625305 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.553845 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.622108 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.543131 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.662747 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.570378 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.611058 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.535391 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.613734 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.553600 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.653126 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.568891 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.623033 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.543518 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.610130 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.549683 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.610096 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.529078 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.618028 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.540833 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.617016 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.541558 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.613863 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.534917 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m epsilon of client 4 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m [Client 2] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.361178 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.080288 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.820835 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.795222 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.782725 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.771354 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.765076 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.759408 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.762371 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.755696 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.756868 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.750549 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.765668 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.753335 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.755574 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.747161 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.747594 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.735167 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.750180 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.735542 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.789283 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.758321 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.741744 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.730917 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.747044 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.731005 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.730003 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.721026 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.735970 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.720601 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.718955 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.714070 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.719107 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.710394 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.600980 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.627632 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.601007 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.615925 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.610924 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.620642 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.570925 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.596044 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.552448 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.589150 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.789895 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.755101 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.657487 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.653610 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.605854 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.618989 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.573811 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.605527 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.571674 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.630603 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.547859 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.596930 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.573480 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.631366 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.565464 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.599165 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.610322 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.627342 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.585802 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.625663 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.573396 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.601967 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.649259 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.650121 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.552591 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.588258 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.576754 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.599310 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 99 \tLoss: 1.119449 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.882855 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.593725 Acc@1: 8.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.611606 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.559216 Acc@1: 8.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.585301 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.555536 Acc@1: 8.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.605926 Acc@1: 5.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.619827 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.626114 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.575463 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.619321 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.533870 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.594367 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.544010 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.583289 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.603013 Acc@1: 8.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.623553 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.566519 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.590365 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.539578 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.596161 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.524342 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.581594 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.515473 Acc@1: 8.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.579561 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.637616 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.633557 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.517381 Acc@1: 8.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.571586 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.584332 Acc@1: 8.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.601787 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.507795 Acc@1: 8.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.562824 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m epsilon of client 2 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m [Client 0] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.377525 Acc@1: 1.875000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.066385 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.855828 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.808208 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.947932 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.859741 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.843792 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.803808 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.834989 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.802195 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.831930 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.798185 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.829288 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.798105 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.825635 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.792665 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.824358 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.794901 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.821632 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.792082 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.821256 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.792247 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.817856 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.789733 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.815534 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.787115 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.814837 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.786205 Acc@1: 5.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.700282 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.810642 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.740276 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.731987 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.696805 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.727076 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.697596 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.762522 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.710924 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.721033 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.686741 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.774367 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.736773 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.750591 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.717088 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.740210 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.705017 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.725140 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.688965 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.733709 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.694520 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.749311 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.700940 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.721241 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.681543 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.728191 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.700994 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.731562 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.699014 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.735862 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.687900 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.714787 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.668296 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.779450 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.717790 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.740971 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.688132 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.717845 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.672675 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.704471 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.673124 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.746889 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.691883 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.736066 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.682842 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.768717 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.714631 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.739638 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.698067 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.714264 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.675382 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.699862 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.659822 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.705262 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.658584 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.741871 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.692275 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.696316 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.662966 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.724685 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.678862 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.735141 Acc@1: 2.187500\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "DEBUG flwr 2024-03-25 15:55:48,469 | server.py:236 | fit_round 1 received 5 results and 0 failures\n", - "03/25/2024 15:55:48:DEBUG:fit_round 1 received 5 results and 0 failures\n", - "WARNING flwr 2024-03-25 15:55:48,492 | fedavg.py:250 | No fit_metrics_aggregation_fn provided\n", - "03/25/2024 15:55:48:WARNING:No fit_metrics_aggregation_fn provided\n", - "INFO flwr 2024-03-25 15:55:48,509 | server.py:125 | fit progress: (1, 0.033037466745750574, {'accuracy': 0.8255208333333334}, 44.791763867018744)\n", - "03/25/2024 15:55:48:INFO:fit progress: (1, 0.033037466745750574, {'accuracy': 0.8255208333333334}, 44.791763867018744)\n", - "DEBUG flwr 2024-03-25 15:55:48,510 | server.py:173 | evaluate_round 1: strategy sampled 5 clients (out of 5)\n", - "03/25/2024 15:55:48:DEBUG:evaluate_round 1: strategy sampled 5 clients (out of 5)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.695316 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.703457 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.658838 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.707943 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.664474 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.694130 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.653173 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m epsilon of client 0 : eps = 0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "DEBUG flwr 2024-03-25 15:55:48,635 | server.py:187 | evaluate_round 1 received 5 results and 0 failures\n", - "03/25/2024 15:55:48:DEBUG:evaluate_round 1 received 5 results and 0 failures\n", - "WARNING flwr 2024-03-25 15:55:48,636 | fedavg.py:281 | No evaluate_metrics_aggregation_fn provided\n", - "03/25/2024 15:55:48:WARNING:No evaluate_metrics_aggregation_fn provided\n", - "DEBUG flwr 2024-03-25 15:55:48,636 | server.py:222 | fit_round 2: strategy sampled 5 clients (out of 5)\n", - "03/25/2024 15:55:48:DEBUG:fit_round 2: strategy sampled 5 clients (out of 5)\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m [Client 0] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m [Client 1] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m [Client 2] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m [Client 3] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m [Client 4] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m [Client 2] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.989323 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.947108 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.793112 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.781778 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.786306 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.774214 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.771331 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.757249 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.776600 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.757083 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.788850 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.760478 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.761316 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.745623 Acc@1: 0.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.766572 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.748028 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.755441 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.739460 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.746054 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.734902 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.747028 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.735377 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.776846 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.748883 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.736097 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.730572 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.727701 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.725345 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.724383 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.719531 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.721667 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.717041 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.717878 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.712648 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.719102 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.707725 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.715029 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.706391 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.709383 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.706503 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.707629 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.706017 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.702002 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.697550 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.699819 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.699517 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.699093 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.696192 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.701900 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.698714 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.705964 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.707636 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.697204 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.694322 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.694863 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.691674 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.681013 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.680810 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.685460 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.690305 Acc@1: 1.562500\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.581848 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.613263 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.580557 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.607526 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.545918 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.598570 Acc@1: 0.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.514348 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.559900 Acc@1: 0.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.604692 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.619132 Acc@1: 0.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.564923 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.635479 Acc@1: 0.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.538110 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.584980 Acc@1: 0.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.515504 Acc@1: 8.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.560928 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.520099 Acc@1: 8.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.557891 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.546755 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.602540 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.710332 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.679672 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.553287 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.589540 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.525671 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.567393 Acc@1: 0.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.518593 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.570231 Acc@1: 0.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.552649 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.586636 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.500172 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.582547 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.508631 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.564634 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.515892 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.581443 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.494323 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.559439 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.517322 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.574006 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.732803 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.667258 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.520536 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.566286 Acc@1: 0.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.508438 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.577439 Acc@1: 0.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m epsilon of client 2 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m [Client 4] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.242109 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.936791 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.747913 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.690183 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.730205 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.680936 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.728489 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.678268 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.726756 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.676831 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.720722 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.671829 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.714753 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.667403 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.719938 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.669566 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.719251 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.668302 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.712785 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.662482 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.715973 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.662757 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.711060 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.661744 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.706801 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.650927 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.709488 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.650840 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.710943 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.650253 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.703114 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.642747 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.694629 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.635460 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.695397 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.634910 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.684860 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.627509 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.687127 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.627075 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.684625 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.623583 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.684156 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.623066 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.682937 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.619106 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.684364 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.619413 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.672992 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.613113 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.674787 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.612702 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.673421 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.610315 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.678583 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.615503 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.673428 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.610558 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.665680 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.604505 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.673554 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.606515 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.662148 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.600169 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.660195 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.598321 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.660319 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.597300 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.696283 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.615649 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.663046 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.598560 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.657828 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.593069 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.671035 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.602202 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.667010 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.613126 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.653717 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.592119 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.656214 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.593744 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.646274 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.581025 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.650257 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.581929 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.644058 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.581777 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.666083 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.603087 Acc@1: 4.687500\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.551805 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.619168 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.536499 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.683346 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.605443 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.624447 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.553839 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.624425 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.545103 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.628064 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.543042 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.613644 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.531410 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.619455 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.571585 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.600051 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.525066 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.621264 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.532505 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.613549 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.529911 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.638378 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.553417 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.594940 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.520845 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.621413 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.541600 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.604312 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.519883 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.656113 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.589507 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.612999 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.531545 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.620953 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.532920 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.607861 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.529482 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.640188 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.558907 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.611593 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.529812 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.612594 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.536477 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m epsilon of client 4 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m [Client 3] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.077579 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.916257 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.770096 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.743992 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.759336 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.731588 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.755165 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.725044 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.751938 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.723266 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.748088 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.719469 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.741065 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.713790 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.737236 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.711349 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.737044 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.709794 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.733888 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.708653 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.728688 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.707611 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.725330 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.700557 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.725024 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.700591 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.723621 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.697917 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.720489 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.705755 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.720943 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.710662 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.724567 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.700420 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.717397 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.697930 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.715217 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.692146 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.712064 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.688914 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.710642 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.687226 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.709343 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.684801 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.707968 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.682298 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.703969 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.679999 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.701046 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.674213 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.703207 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.673184 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.701055 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.671611 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.698857 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.680931 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.699553 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.671921 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.689843 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.663695 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.683450 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.658931 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.706182 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.667149 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.692650 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.656259 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.690162 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.658721 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.679557 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.645011 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.686152 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.649205 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.699345 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.656391 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.688144 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.579086 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.615136 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.582486 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.619465 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.573918 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.598479 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.568841 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.619953 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.577839 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.606472 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.556982 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.609299 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.583774 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.590064 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.556538 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.656635 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.589786 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.596548 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.573253 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.606729 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.559013 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.607926 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.570001 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.591823 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.539187 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.600320 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.560100 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.602963 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.551828 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.631325 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.586902 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m epsilon of client 3 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m [Client 1] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.297901 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.083008 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.923415 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.904158 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.912612 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.886801 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.900255 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.873293 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.887645 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.859599 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.884816 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.861594 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.883750 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.858808 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.883123 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.853751 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.884245 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.852703 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.877861 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.851146 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.873258 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.842983 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.868863 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.844267 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.871812 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.841346 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.863244 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.833652 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.861419 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.838448 Acc@1: 1.718750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.866330 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.832227 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.863295 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.835000 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.856596 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.826482 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.853116 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.825204 Acc@1: 1.718750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.851873 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.825219 Acc@1: 1.718750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.854282 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.819229 Acc@1: 1.718750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.850195 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.820092 Acc@1: 1.718750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.846648 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.820028 Acc@1: 1.718750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.866289 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.828081 Acc@1: 1.718750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.846079 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.816711 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.848380 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.814041 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.842898 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.808332 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.849691 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.818511 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.855993 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.832777 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.845795 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.812421 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.846366 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.810538 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.839737 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.808092 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.839446 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.808691 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.837053 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.807198 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.829623 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.810896 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.829596 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.804428 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.829500 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.807065 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.832851 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.800230 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.825965 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.804012 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.827913 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.798882 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.826527 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.800459 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.828196 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.803703 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.834193 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.797606 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.831282 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.793358 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.825235 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.792129 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.831428 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.804140 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.824198 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.791644 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.820964 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.789350 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.838170 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.798143 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.824629 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.792743 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 50 \tLoss: 0.808886 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 50 \tLoss: 0.785866 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 51 \tLoss: 0.817939 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 51 \tLoss: 0.788055 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 52 \tLoss: 0.807128 Acc@1: 3.437500\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.771968 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.745813 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.735757 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.731434 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.744301 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.739698 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.778522 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.758173 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.827244 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.783316 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.772115 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.746288 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.739203 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.732050 Acc@1: 5.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.750830 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.723712 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.745440 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.721106 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.766125 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.750767 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.728408 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.751322 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.740762 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.728027 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.738194 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.728309 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.726766 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.711699 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m epsilon of client 1 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m [Client 0] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.156336 Acc@1: 8.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.962867 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.876261 Acc@1: 8.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.822014 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.851875 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.810263 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.844540 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.801429 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.837235 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.799034 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.841260 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.800438 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.827284 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.796102 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.824924 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.794927 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.822478 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.791718 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.821287 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.791102 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.819622 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.786930 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.822960 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.789690 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.817685 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.785750 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.818881 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.788239 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.818023 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.785956 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.817809 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.786100 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.833281 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.787992 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.811382 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.778747 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.808419 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.776548 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.807684 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.775370 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.809985 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.775353 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.801442 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.770601 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.800263 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.770896 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.836320 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.798261 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.800930 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.769772 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.799937 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.767507 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.852398 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.793734 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.799460 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.766534 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.793109 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.761312 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.788996 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.759727 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.785626 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.757851 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.782339 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.756970 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.781027 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.756364 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.779928 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.757803 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.782985 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.756997 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.888870 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.817846 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.789702 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.764369 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.781926 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.756208 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.770541 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.750445 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.766163 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.743915 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.777491 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.751596 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.769087 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.751014 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.764713 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.760126 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.799668 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.773956 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.777720 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.755517 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.771886 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.745449 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.752727 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.732326 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.755852 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.735615 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.757352 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.739481 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.756364 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.804376 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 50 \tLoss: 0.761345 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 50 \tLoss: 0.737326 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 51 \tLoss: 0.753708 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 51 \tLoss: 0.730447 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 52 \tLoss: 0.750392 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 52 \tLoss: 0.738191 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 53 \tLoss: 0.768302 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 53 \tLoss: 0.737746 Acc@1: 6.562500\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 58 \tLoss: 0.735169 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 59 \tLoss: 0.775582 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 59 \tLoss: 0.757213 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 60 \tLoss: 0.765963 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 60 \tLoss: 0.739095 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 61 \tLoss: 0.771246 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 61 \tLoss: 0.747084 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 62 \tLoss: 0.775742 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 62 \tLoss: 0.741405 Acc@1: 6.562500\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 76 \tLoss: 0.735138 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 77 \tLoss: 0.758179 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 77 \tLoss: 0.726849 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.762362 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.738455 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.768505 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.729282 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.749053 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.710492 Acc@1: 10.781250\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.749883 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.769960 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.731535 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.757300 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.723813 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.764108 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.729859 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.749284 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.719318 Acc@1: 10.781250\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.717209 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.743236 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.717689 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.747500 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.724615 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.749228 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.710980 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.759495 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.711841 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.753617 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.724000 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.743411 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.723020 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.776754 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.731555 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.735823 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.707861 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.816241 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.749750 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.738174 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.714333 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.748588 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.715728 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.740203 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.705807 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.731814 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.701072 Acc@1: 10.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.764520 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.718913 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.729660 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.704056 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.736886 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.707829 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.736309 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.724295 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.744313 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.707885 Acc@1: 9.218750\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "DEBUG flwr 2024-03-25 15:56:26,904 | server.py:236 | fit_round 2 received 5 results and 0 failures\n", - "03/25/2024 15:56:26:DEBUG:fit_round 2 received 5 results and 0 failures\n", - "INFO flwr 2024-03-25 15:56:26,934 | server.py:125 | fit progress: (2, 0.032681476251751766, {'accuracy': 0.8177083333333334}, 83.21658422402106)\n", - "03/25/2024 15:56:26:INFO:fit progress: (2, 0.032681476251751766, {'accuracy': 0.8177083333333334}, 83.21658422402106)\n", - "DEBUG flwr 2024-03-25 15:56:26,935 | server.py:173 | evaluate_round 2: strategy sampled 5 clients (out of 5)\n", - "03/25/2024 15:56:26:DEBUG:evaluate_round 2: strategy sampled 5 clients (out of 5)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.782044 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.731425 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.735973 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.699759 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.736563 Acc@1: 2.187500\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "DEBUG flwr 2024-03-25 15:56:27,090 | server.py:187 | evaluate_round 2 received 5 results and 0 failures\n", - "03/25/2024 15:56:27:DEBUG:evaluate_round 2 received 5 results and 0 failures\n", - "INFO flwr 2024-03-25 15:56:27,091 | server.py:153 | FL finished in 83.37370646814816\n", - "03/25/2024 15:56:27:INFO:FL finished in 83.37370646814816\n", - "INFO flwr 2024-03-25 15:56:27,092 | app.py:226 | app_fit: losses_distributed [(1, 0.03345118854560104), (2, 0.033197621971953147)]\n", - "03/25/2024 15:56:27:INFO:app_fit: losses_distributed [(1, 0.03345118854560104), (2, 0.033197621971953147)]\n", - "INFO flwr 2024-03-25 15:56:27,093 | app.py:227 | app_fit: metrics_distributed_fit {}\n", - "03/25/2024 15:56:27:INFO:app_fit: metrics_distributed_fit {}\n", - "INFO flwr 2024-03-25 15:56:27,094 | app.py:228 | app_fit: metrics_distributed {}\n", - "03/25/2024 15:56:27:INFO:app_fit: metrics_distributed {}\n", - "INFO flwr 2024-03-25 15:56:27,094 | app.py:229 | app_fit: losses_centralized [(0, 0.03725476183143316), (1, 0.033037466745750574), (2, 0.032681476251751766)]\n", - "03/25/2024 15:56:27:INFO:app_fit: losses_centralized [(0, 0.03725476183143316), (1, 0.033037466745750574), (2, 0.032681476251751766)]\n", - "INFO flwr 2024-03-25 15:56:27,095 | app.py:230 | app_fit: metrics_centralized {'accuracy': [(0, 0.7057291666666666), (1, 0.8255208333333334), (2, 0.8177083333333334)]}\n", - "03/25/2024 15:56:27:INFO:app_fit: metrics_centralized {'accuracy': [(0, 0.7057291666666666), (1, 0.8255208333333334), (2, 0.8177083333333334)]}\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.709336 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m epsilon of client 0 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m [Client 2] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m [Client 3] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m [Client 1] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m [Client 4] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m [Client 0] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1294302)\u001b[0m cuda:0\n", - "/home/local/USHERBROOKE/saho6810/MEDfl/code/MEDfl/notebooks/data/masterDataSet/Mimic_ouael.csv\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO flwr 2024-03-25 15:57:16,370 | app.py:178 | Starting Flower simulation, config: ServerConfig(num_rounds=3, round_timeout=None)\n", - "03/25/2024 15:57:16:INFO:Starting Flower simulation, config: ServerConfig(num_rounds=3, round_timeout=None)\n", - "2024-03-25 15:57:20,533\tINFO worker.py:1621 -- Started a local Ray instance.\n", - "INFO flwr 2024-03-25 15:57:22,911 | app.py:213 | Flower VCE: Ray initialized with resources: {'memory': 38174561895.0, 'CPU': 24.0, 'node:__internal_head__': 1.0, 'node:10.44.86.57': 1.0, 'object_store_memory': 78643200.0, 'accelerator_type:G': 1.0, 'GPU': 1.0}\n", - "03/25/2024 15:57:22:INFO:Flower VCE: Ray initialized with resources: {'memory': 38174561895.0, 'CPU': 24.0, 'node:__internal_head__': 1.0, 'node:10.44.86.57': 1.0, 'object_store_memory': 78643200.0, 'accelerator_type:G': 1.0, 'GPU': 1.0}\n", - "INFO flwr 2024-03-25 15:57:22,912 | app.py:219 | Optimize your simulation with Flower VCE: https://flower.dev/docs/framework/how-to-run-simulations.html\n", - "03/25/2024 15:57:22:INFO:Optimize your simulation with Flower VCE: https://flower.dev/docs/framework/how-to-run-simulations.html\n", - "INFO flwr 2024-03-25 15:57:22,912 | app.py:242 | Flower VCE: Resources for each Virtual Client: {'num_cpus': 1.0, 'num_gpus': 1.0}\n", - "03/25/2024 15:57:22:INFO:Flower VCE: Resources for each Virtual Client: {'num_cpus': 1.0, 'num_gpus': 1.0}\n", - "INFO flwr 2024-03-25 15:57:22,919 | app.py:288 | Flower VCE: Creating VirtualClientEngineActorPool with 1 actors\n", - "03/25/2024 15:57:22:INFO:Flower VCE: Creating VirtualClientEngineActorPool with 1 actors\n", - "INFO flwr 2024-03-25 15:57:22,920 | server.py:89 | Initializing global parameters\n", - "03/25/2024 15:57:22:INFO:Initializing global parameters\n", - "INFO flwr 2024-03-25 15:57:22,921 | server.py:272 | Using initial parameters provided by strategy\n", - "03/25/2024 15:57:22:INFO:Using initial parameters provided by strategy\n", - "INFO flwr 2024-03-25 15:57:22,921 | server.py:91 | Evaluating initial parameters\n", - "03/25/2024 15:57:22:INFO:Evaluating initial parameters\n", - "INFO flwr 2024-03-25 15:57:22,932 | server.py:94 | initial parameters (loss, other metrics): 0.03640277712952857, {'accuracy': 0.7838541666666666}\n", - "03/25/2024 15:57:22:INFO:initial parameters (loss, other metrics): 0.03640277712952857, {'accuracy': 0.7838541666666666}\n", - "INFO flwr 2024-03-25 15:57:22,933 | server.py:104 | FL starting\n", - "03/25/2024 15:57:22:INFO:FL starting\n", - "DEBUG flwr 2024-03-25 15:57:22,933 | server.py:222 | fit_round 1: strategy sampled 5 clients (out of 5)\n", - "03/25/2024 15:57:22:DEBUG:fit_round 1: strategy sampled 5 clients (out of 5)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/MEDfl/code/MEDfl/Medfl/LearningManager/utils.py:19: DeprecationWarning: Use of .. or absolute path in a resource path is not allowed and will raise exceptions in a future release.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m global_yaml_path = pkg_resources.resource_filename(__name__, \"../../global_params.yaml\")\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 0] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.676721 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.292290 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.894627 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.855032 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.880047 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.846204 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.872376 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.840637 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.867225 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.836929 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.863358 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.833540 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.860425 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.831040 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.858435 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.831128 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.858474 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.827794 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.855590 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.826072 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.854670 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.823889 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.850481 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.821217 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.847579 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.819857 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.876720 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.836552 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.849889 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.820725 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.845281 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.815481 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.841720 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.812742 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.866943 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.824486 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.838468 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.739069 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.798380 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.756278 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.767114 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.762190 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.765864 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.755206 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.768479 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.739307 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.770331 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.752094 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.756391 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.731789 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.768849 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.742671 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.772204 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.751088 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.751760 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.726950 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.751615 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.747553 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.833349 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.772643 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.752971 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.775266 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.811412 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.773369 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.758021 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.740875 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.757654 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.730946 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.752081 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.729042 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m epsilon of client 0 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 1] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.369795 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.152827 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.826581 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.844937 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.821200 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.830755 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.811150 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.818502 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.800503 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.808140 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.789827 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.805203 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.780189 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.796522 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.778319 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.794547 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.772432 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.791822 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.761062 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.782254 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.766366 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.789412 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.771641 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.786636 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.761486 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.781459 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.769438 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.784631 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.771695 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.784180 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.767195 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.781370 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.773882 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.783082 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.751933 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.774169 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.763492 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.776540 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.752630 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.770093 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.750048 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.772424 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.766207 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.776260 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.760236 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.778284 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.765428 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.782800 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.766749 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.778369 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.758629 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.774567 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.752363 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.781028 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.769377 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.785612 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.748883 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.768376 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.740592 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.763751 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.738262 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.766556 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.740877 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.765952 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.748790 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.764526 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.735867 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.758862 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.741404 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.755338 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.732493 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.775160 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.768731 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.776371 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.751455 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.763583 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.733488 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.758948 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.733528 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.762829 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.722791 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.762236 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.723284 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.754069 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.727930 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.751784 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.720699 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.741346 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.730150 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.748404 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.712996 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.734463 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.717190 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.733076 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.726995 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.752643 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.700721 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.734653 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.716841 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.732735 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 50 \tLoss: 0.717433 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 50 \tLoss: 0.730838 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 51 \tLoss: 0.733447 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 51 \tLoss: 0.745563 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 52 \tLoss: 0.727080 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 52 \tLoss: 0.737627 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 53 \tLoss: 0.693436 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 53 \tLoss: 0.723734 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 54 \tLoss: 0.696156 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 54 \tLoss: 0.719986 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 55 \tLoss: 0.691206 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 55 \tLoss: 0.720212 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 56 \tLoss: 0.692336 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 56 \tLoss: 0.714041 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 57 \tLoss: 0.718151 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 57 \tLoss: 0.721322 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 58 \tLoss: 0.703799 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 58 \tLoss: 0.745745 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 59 \tLoss: 0.703734 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 59 \tLoss: 0.736938 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 60 \tLoss: 0.704483 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 60 \tLoss: 0.716393 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 61 \tLoss: 0.683853 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 61 \tLoss: 0.698329 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 62 \tLoss: 0.692594 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 62 \tLoss: 0.710536 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 63 \tLoss: 0.680715 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 63 \tLoss: 0.702904 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 64 \tLoss: 0.740036 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 64 \tLoss: 0.743444 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 65 \tLoss: 0.710912 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 65 \tLoss: 0.710336 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 66 \tLoss: 0.729252 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 66 \tLoss: 0.718533 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 67 \tLoss: 0.716369 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 67 \tLoss: 0.729858 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 68 \tLoss: 0.682110 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 68 \tLoss: 0.703333 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 69 \tLoss: 0.663632 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 69 \tLoss: 0.693585 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 70 \tLoss: 0.703034 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 70 \tLoss: 0.705373 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 71 \tLoss: 0.682986 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 71 \tLoss: 0.706557 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 72 \tLoss: 0.685803 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 72 \tLoss: 0.735153 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 73 \tLoss: 0.710594 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 73 \tLoss: 0.723761 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 74 \tLoss: 0.744593 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 74 \tLoss: 0.739014 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 75 \tLoss: 0.696379 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 75 \tLoss: 0.707296 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 76 \tLoss: 0.706661 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 76 \tLoss: 0.703698 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 77 \tLoss: 0.743958 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 77 \tLoss: 0.724080 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.669788 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.681535 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.664390 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.681034 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.684612 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.680994 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.678954 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.695684 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.678040 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.692758 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.669583 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.700614 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.692319 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.695787 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.652540 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.674315 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.648257 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.661134 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.638953 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.659031 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.651773 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.714449 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.683855 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.699513 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.807985 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.758627 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.676974 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.679932 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.662615 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.667650 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.687775 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.681153 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.670722 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.685025 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.646604 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.657416 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.626181 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.642395 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.653285 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.725720 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.678866 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.690375 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.672094 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.670328 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.658570 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.658631 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.621883 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.642631 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.598635 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.659993 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.690929 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.717983 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.640463 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.656722 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.685443 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.676631 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.624623 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.640250 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.610076 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.624841 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.633982 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.653965 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.634141 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.660332 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.661634 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.658882 Acc@1: 5.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.701302 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.673206 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.647605 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.656642 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.624954 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.646289 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.635075 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.632990 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.676189 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.644523 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m epsilon of client 1 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 4] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.260325 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.059940 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.762653 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.758409 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.759505 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.755420 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.757849 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.751090 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.757315 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.748397 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.755283 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.745136 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.753642 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.743096 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.752833 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.743955 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.748695 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.739744 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.748000 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.737800 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.746089 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.736129 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.745348 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.744930 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.743519 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.736132 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.743735 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.758508 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.742674 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.733983 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.740434 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.729990 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.738762 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.767021 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.735250 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.729130 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.736691 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.728999 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.729084 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.721608 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.731298 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.722423 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.726111 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.724922 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.720628 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.718677 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.719475 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.710972 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.714720 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.712363 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.715020 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.753691 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.713169 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.705073 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.710221 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.703987 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.712106 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.695264 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.702165 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.699793 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.701744 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.691127 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.692939 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.681062 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.696134 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.679688 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.700279 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.707484 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.692442 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.700728 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.686494 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.690154 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.688209 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.705034 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.693652 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.705720 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.691232 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.687873 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.739833 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.705874 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.686984 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.689974 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.686810 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.680833 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.679973 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.681095 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.678733 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.677432 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.685919 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.672157 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.677599 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.672892 Acc@1: 0.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.691666 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.670252 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.674327 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.676581 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.676887 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.668851 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.667771 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.670540 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 50 \tLoss: 0.690995 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 50 \tLoss: 0.692723 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 51 \tLoss: 0.672281 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 51 \tLoss: 0.665746 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 52 \tLoss: 0.681512 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 52 \tLoss: 0.674512 Acc@1: 0.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 53 \tLoss: 0.730779 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 53 \tLoss: 0.755847 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 54 \tLoss: 0.668716 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 54 \tLoss: 0.685648 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 55 \tLoss: 0.665854 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 55 \tLoss: 0.661633 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 56 \tLoss: 0.665191 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 56 \tLoss: 0.659894 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 57 \tLoss: 0.651957 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 57 \tLoss: 0.667456 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 58 \tLoss: 0.668114 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 58 \tLoss: 0.652485 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 59 \tLoss: 0.655333 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 59 \tLoss: 0.649626 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 60 \tLoss: 0.651064 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 60 \tLoss: 0.656112 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 61 \tLoss: 0.655620 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 61 \tLoss: 0.645578 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 62 \tLoss: 0.655775 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 62 \tLoss: 0.649181 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 63 \tLoss: 0.659382 Acc@1: 9.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 63 \tLoss: 0.645506 Acc@1: 9.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 64 \tLoss: 0.650125 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 64 \tLoss: 0.665549 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 65 \tLoss: 0.673313 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 65 \tLoss: 0.658538 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 66 \tLoss: 0.681575 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 66 \tLoss: 0.658133 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 67 \tLoss: 0.646999 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 67 \tLoss: 0.648535 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 68 \tLoss: 0.658965 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 68 \tLoss: 0.646527 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 69 \tLoss: 0.667716 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 69 \tLoss: 0.648732 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 70 \tLoss: 0.659747 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 70 \tLoss: 0.642059 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 71 \tLoss: 0.635164 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 71 \tLoss: 0.631011 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 72 \tLoss: 0.657658 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 72 \tLoss: 0.639466 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 73 \tLoss: 0.641679 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 73 \tLoss: 0.619358 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 74 \tLoss: 0.640858 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 74 \tLoss: 0.625639 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 75 \tLoss: 0.628118 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 75 \tLoss: 0.621907 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 76 \tLoss: 0.629462 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 76 \tLoss: 0.614693 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 77 \tLoss: 0.784229 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 77 \tLoss: 0.800197 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.668586 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.646175 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.645387 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.659997 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.655957 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.633532 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.645509 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.633878 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.626028 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.610160 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.629663 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.606850 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.620989 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.607125 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.651731 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.649934 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.652038 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.634257 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.630608 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.606535 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.673095 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.645693 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.714611 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.661330 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.657835 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.624487 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.659791 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.632703 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.622255 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.608022 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.726506 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.685169 Acc@1: 0.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.661780 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.652242 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.662495 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.648788 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.801711 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.728855 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.635237 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.612993 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.627074 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.606873 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.621650 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.602206 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.667684 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.664679 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.634970 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.612919 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.628904 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.621801 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.640442 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.625956 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.664579 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.642566 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.639823 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.632978 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.655321 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.619836 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.620835 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.605598 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.659270 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.610517 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.619242 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.613960 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.661087 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.620909 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.618650 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.596245 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.632585 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.620287 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.739410 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.705217 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.668389 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.650521 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.654099 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.632257 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m epsilon of client 4 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 2] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.666266 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 72 \tLoss: 0.689880 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 73 \tLoss: 0.713567 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 73 \tLoss: 0.710053 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 74 \tLoss: 0.658984 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 74 \tLoss: 0.677459 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 75 \tLoss: 0.637133 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 75 \tLoss: 0.687535 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 76 \tLoss: 0.655906 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 76 \tLoss: 0.682937 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 77 \tLoss: 0.655458 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 77 \tLoss: 0.679922 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.656254 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.672255 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.659481 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.674935 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.664416 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.674056 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.640817 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.660622 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.636863 Acc@1: 12.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.662331 Acc@1: 6.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.642664 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.700035 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.619094 Acc@1: 12.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.650724 Acc@1: 6.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.619723 Acc@1: 12.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.668664 Acc@1: 6.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.635625 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.670003 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.600387 Acc@1: 12.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.647119 Acc@1: 6.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.629003 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.664856 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.661093 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.708220 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.575759 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.680523 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.629169 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.655570 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.642621 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.665340 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.616749 Acc@1: 12.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.643683 Acc@1: 6.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.662953 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.668165 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.639614 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.651632 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.622546 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.645708 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.667053 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.658578 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.605220 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.620699 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.561948 Acc@1: 12.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.603953 Acc@1: 6.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.598543 Acc@1: 12.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.634653 Acc@1: 6.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.594871 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.628863 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.586792 Acc@1: 12.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.628952 Acc@1: 6.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.642597 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.638900 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.583364 Acc@1: 12.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.595445 Acc@1: 6.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.607825 Acc@1: 12.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.625960 Acc@1: 6.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.631090 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.662727 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.583578 Acc@1: 12.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.597938 Acc@1: 6.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.652194 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.682122 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.581948 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.601903 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.591801 Acc@1: 12.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.700773 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.628945 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.666486 Acc@1: 6.875000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.591732 Acc@1: 15.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.625906 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.607834 Acc@1: 12.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.611262 Acc@1: 6.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.603789 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.599367 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.569790 Acc@1: 12.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.586260 Acc@1: 6.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m epsilon of client 2 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 3] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.385860 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.112577 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.720406 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.752709 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.710991 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.746635 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.703751 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.740802 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.700147 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.740118 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.696147 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.734867 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.714376 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.744313 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.698873 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.734322 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.695323 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.731964 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.694378 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.730674 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.692259 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.729068 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.690386 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.725518 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.688428 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.723314 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.685860 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.720597 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.684548 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.719277 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.680308 Acc@1: 9.062500\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.640496 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.604552 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.653717 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.570385 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.646800 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.555023 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.628204 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.595283 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.646816 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.558680 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.621027 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.570220 Acc@1: 16.875000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.626129 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.557670 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.620698 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.551650 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.629209 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.535937 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.617046 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.534571 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.612378 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.583002 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.666753 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.555882 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.620679 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.550855 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.618239 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.533275 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.608307 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.519736 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.603278 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.535822 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.606803 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.725128 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.708821 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.556213 Acc@1: 0.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.629130 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.541392 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.608952 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.563562 Acc@1: 1.875000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.631121 Acc@1: 1.875000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.560565 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.623523 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.565449 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.615895 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.547356 Acc@1: 0.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.610388 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.536061 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.597004 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.554428 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.618496 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.538008 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.630863 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.545193 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.608913 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.537021 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.604735 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.545367 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.606562 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.534781 Acc@1: 0.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.608290 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.530849 Acc@1: 0.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.609622 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.522435 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.601491 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.563497 Acc@1: 0.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.617611 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.545344 Acc@1: 0.312500\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "DEBUG flwr 2024-03-25 15:58:12,956 | server.py:236 | fit_round 1 received 5 results and 0 failures\n", - "03/25/2024 15:58:12:DEBUG:fit_round 1 received 5 results and 0 failures\n", - "WARNING flwr 2024-03-25 15:58:12,965 | fedavg.py:250 | No fit_metrics_aggregation_fn provided\n", - "03/25/2024 15:58:12:WARNING:No fit_metrics_aggregation_fn provided\n", - "INFO flwr 2024-03-25 15:58:12,979 | server.py:125 | fit progress: (1, 0.03320106863975525, {'accuracy': 0.7838541666666666}, 50.04615653282963)\n", - "03/25/2024 15:58:12:INFO:fit progress: (1, 0.03320106863975525, {'accuracy': 0.7838541666666666}, 50.04615653282963)\n", - "DEBUG flwr 2024-03-25 15:58:12,980 | server.py:173 | evaluate_round 1: strategy sampled 5 clients (out of 5)\n", - "03/25/2024 15:58:12:DEBUG:evaluate_round 1: strategy sampled 5 clients (out of 5)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.611685 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.537128 Acc@1: 0.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.599893 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.519005 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.591429 Acc@1: 0.937500\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "DEBUG flwr 2024-03-25 15:58:13,152 | server.py:187 | evaluate_round 1 received 5 results and 0 failures\n", - "03/25/2024 15:58:13:DEBUG:evaluate_round 1 received 5 results and 0 failures\n", - "WARNING flwr 2024-03-25 15:58:13,153 | fedavg.py:281 | No evaluate_metrics_aggregation_fn provided\n", - "03/25/2024 15:58:13:WARNING:No evaluate_metrics_aggregation_fn provided\n", - "DEBUG flwr 2024-03-25 15:58:13,154 | server.py:222 | fit_round 2: strategy sampled 5 clients (out of 5)\n", - "03/25/2024 15:58:13:DEBUG:fit_round 2: strategy sampled 5 clients (out of 5)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.528223 Acc@1: 0.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.586631 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m epsilon of client 3 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 3] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 2] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 4] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 1] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 0] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 1] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.150091 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.048434 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.942725 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.896832 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.815796 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.827965 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.810137 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.816403 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.788414 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.802818 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.780909 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.801084 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.776095 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.797994 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.823084 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.815419 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.772172 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.789104 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.763791 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.782706 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.761566 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.779386 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.759607 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.778059 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.762891 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.778529 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.751417 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.774799 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.756310 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.773590 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.763499 Acc@1: 7.500000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.658105 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.652376 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.636806 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.648633 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.670825 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.666101 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.637938 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.638225 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.695875 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.694001 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.652136 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.655883 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.652053 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.644278 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.650850 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.648864 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.684533 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.670437 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.635649 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.639489 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.656295 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.652911 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.644078 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.653479 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.677905 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.674476 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.671476 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.665749 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.646764 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.639957 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.644930 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.630578 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.629940 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.637375 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.698420 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.664235 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.676476 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.682599 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.633640 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.629858 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.724880 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.685064 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.633794 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.633672 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.653212 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.639438 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.654719 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.643292 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m epsilon of client 1 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 2] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.730039 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.302354 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.819264 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.828651 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.804329 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.819964 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.795613 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.813361 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.788717 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.807383 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.782852 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.801978 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.785125 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.801368 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.781818 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.799298 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.782374 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.799912 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.774618 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.791977 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.767399 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.786940 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.784791 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.794205 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.759275 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.784369 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.833236 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.823282 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.767372 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.787329 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.789408 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.791612 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.766076 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.780745 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.753857 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.770862 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.758414 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.767939 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.741864 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.768311 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.752176 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.769545 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.774795 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.785699 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.754503 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.771620 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.750057 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.770466 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.747286 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.764298 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.747927 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.763422 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.769426 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.769353 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.745615 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.758847 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.755090 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.760421 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.738965 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.749136 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.740380 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.675048 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.598056 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.641396 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.630037 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.654130 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.622281 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.659794 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.663857 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.675336 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.604744 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.634613 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.605020 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.621441 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.599921 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.619729 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.621744 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.656518 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.650911 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.679542 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.608094 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.634898 Acc@1: 2.656250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.581482 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.628524 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.609564 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.629329 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.646921 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.666089 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.598461 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.631909 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.580928 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.616543 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.573183 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.670763 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.558690 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.608775 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.542833 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.590799 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.541282 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.603645 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.622678 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.635547 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.548201 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.602254 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.556565 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.625963 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m epsilon of client 2 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 4] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.810273 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.301131 Acc@1: 0.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.762371 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.754646 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.760072 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.755517 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.759133 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.752750 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.757958 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.748522 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.756250 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.745562 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.753161 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.743521 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.750644 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.740817 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.748139 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.740351 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.746514 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.737153 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.743442 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.736278 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.741335 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.733717 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.745018 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.743469 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.737214 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.728589 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.731457 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.721730 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.729529 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.726023 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.727987 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.723829 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.727016 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.720904 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.722804 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.721531 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.726230 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.718513 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.724970 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.718968 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.724712 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.716012 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.713890 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.706136 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.710722 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.702945 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.712679 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.704260 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.714056 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.710723 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.714863 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.703268 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.704675 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.698454 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.757366 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.727338 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.709450 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.699108 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.704729 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.695913 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.701703 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.692855 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.699806 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.696071 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.973971 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.858863 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.711307 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.710659 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.703878 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.742821 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.721016 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.667825 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.643754 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.654164 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.665878 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.660437 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.636132 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.644194 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.635976 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.634147 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.679845 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.653892 Acc@1: 8.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.680420 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.690887 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.653059 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.638137 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.620045 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.624351 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.613400 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.614864 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.624346 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.623957 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.609214 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.637644 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.630611 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.636719 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.647155 Acc@1: 17.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.632750 Acc@1: 13.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.637002 Acc@1: 17.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.622350 Acc@1: 13.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.642839 Acc@1: 17.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.636554 Acc@1: 13.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.649103 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.631776 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m epsilon of client 4 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 0] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.612467 Acc@1: 15.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.219270 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.891312 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.851992 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.884318 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.852285 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.871642 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.840604 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.867454 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.836988 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.863739 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.833984 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.861447 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.831736 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.859090 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.829966 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.859157 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.829932 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.857807 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.827821 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.857166 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.827917 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.856040 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.827868 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.851515 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.822642 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.851637 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.821913 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.848658 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.819229 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.846985 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.821245 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.843353 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.814664 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.847204 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.821770 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.847088 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.818337 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.847851 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.812992 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.832834 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.806407 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.834223 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.805272 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.835926 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.807267 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.827242 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.799211 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.824862 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.798772 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.826807 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.797646 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.815506 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.793816 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.813672 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.802419 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.890295 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.825376 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.823911 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.791772 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.820247 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.789767 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.812540 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.783019 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.816723 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.785316 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.810569 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.783029 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.801307 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.773853 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.794807 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.767266 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.947388 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.844183 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.808831 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.771377 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.808480 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.768902 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 39 \tLoss: 1.018306 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.885914 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.816972 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.786832 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.817832 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.782223 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.797669 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.737012 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.775452 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.735547 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.726981 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.706970 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.725611 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.692697 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.705787 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.682785 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.706654 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.686464 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.712367 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.699312 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.714000 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.696344 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.718860 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.696939 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.733444 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.698732 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.707777 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.678149 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m epsilon of client 0 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 3] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.485132 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.170542 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.716977 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.751075 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.700593 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.739981 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.697134 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.737055 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.693141 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.733045 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.687811 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.728742 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.687253 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.727971 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.682542 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.724129 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.680027 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.720777 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.677895 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.719031 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.678843 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.718242 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.674893 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.715420 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.681748 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.716420 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.665343 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.705353 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.666576 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.705214 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.662294 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.698801 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.663219 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.697756 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.844057 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.802465 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.664114 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.702559 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.657360 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.696407 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.659949 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.698220 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.654673 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.692828 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.648074 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.692739 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.653226 Acc@1: 17.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.692001 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.637256 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.684001 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.639431 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.685857 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.637302 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.682306 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.616326 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.673954 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.632891 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.686575 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.623378 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.673798 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.624151 Acc@1: 17.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.673843 Acc@1: 9.843750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.621522 Acc@1: 17.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.670682 Acc@1: 9.843750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.619898 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.669621 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.622974 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.668729 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.617192 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.666883 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.644154 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.681746 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.633299 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.677224 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.629049 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.674504 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.637111 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.674055 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.617373 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.668013 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.610763 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.664851 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.617673 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.663741 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.632688 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.676051 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.617219 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.669823 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.648054 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.682404 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.611340 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.665863 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.606152 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.657874 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.612873 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.691091 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.606282 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.658366 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.647130 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.681762 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 50 \tLoss: 0.602017 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 50 \tLoss: 0.655601 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 51 \tLoss: 0.588919 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 51 \tLoss: 0.652962 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 52 \tLoss: 0.608372 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 52 \tLoss: 0.660267 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 53 \tLoss: 0.638469 Acc@1: 0.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 53 \tLoss: 0.682011 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 54 \tLoss: 0.621117 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 54 \tLoss: 0.673906 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 55 \tLoss: 0.602181 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 55 \tLoss: 0.654692 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 56 \tLoss: 0.585048 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 56 \tLoss: 0.645855 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 57 \tLoss: 0.595649 Acc@1: 17.187500\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.521465 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.603213 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.524928 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.603735 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.604000 Acc@1: 0.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.657368 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.540730 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.612025 Acc@1: 0.937500\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "DEBUG flwr 2024-03-25 15:58:54,605 | server.py:236 | fit_round 2 received 5 results and 0 failures\n", - "03/25/2024 15:58:54:DEBUG:fit_round 2 received 5 results and 0 failures\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.523926 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.606347 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.544552 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.607541 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.514951 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.598309 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.548563 Acc@1: 8.125000\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO flwr 2024-03-25 15:58:54,630 | server.py:125 | fit progress: (2, 0.03418041385856329, {'accuracy': 0.7838541666666666}, 91.69687040988356)\n", - "03/25/2024 15:58:54:INFO:fit progress: (2, 0.03418041385856329, {'accuracy': 0.7838541666666666}, 91.69687040988356)\n", - "DEBUG flwr 2024-03-25 15:58:54,631 | server.py:173 | evaluate_round 2: strategy sampled 5 clients (out of 5)\n", - "03/25/2024 15:58:54:DEBUG:evaluate_round 2: strategy sampled 5 clients (out of 5)\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "DEBUG flwr 2024-03-25 15:58:54,782 | server.py:187 | evaluate_round 2 received 5 results and 0 failures\n", - "03/25/2024 15:58:54:DEBUG:evaluate_round 2 received 5 results and 0 failures\n", - "DEBUG flwr 2024-03-25 15:58:54,783 | server.py:222 | fit_round 3: strategy sampled 5 clients (out of 5)\n", - "03/25/2024 15:58:54:DEBUG:fit_round 3: strategy sampled 5 clients (out of 5)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.611688 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.557382 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.624386 Acc@1: 1.875000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m epsilon of client 3 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 2] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 4] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 3] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 0] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 1] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 0] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.112935 Acc@1: 15.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.967683 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.886015 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.849737 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.869772 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.839237 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.868471 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.837325 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.861783 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.832331 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.858440 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.829587 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.855660 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.826865 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.853858 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.825301 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.853262 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.823682 Acc@1: 0.625000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.744495 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.720832 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.745746 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.721798 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.730557 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.717888 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.791517 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.745525 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.722290 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.710169 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.803336 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.769072 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.741296 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.726120 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.738332 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.716842 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.779139 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.759342 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.740725 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.735809 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.725845 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.717025 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.739574 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.727133 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.777187 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.748088 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.763569 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.747438 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.762890 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.737968 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.750824 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.725186 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.727244 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.728594 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.736816 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.714048 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.761486 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.724225 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.718834 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.711644 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.735699 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.717509 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.720403 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.730611 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.857361 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.782137 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.726248 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.725325 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.743100 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.718202 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.719503 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.706349 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.715604 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.741597 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.723245 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.721102 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.737732 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.715766 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.727075 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.714326 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.718476 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.716002 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.736146 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.716604 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.727441 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.704618 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.731598 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.715764 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.710000 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.734627 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m epsilon of client 0 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 1] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.982516 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.928641 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.819616 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.834500 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.873302 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.871609 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.806135 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.817700 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.792138 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.807930 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.786765 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.803292 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.777842 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.797689 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.780181 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.794178 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.765928 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.786872 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.762000 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.783658 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.765108 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.783175 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.759386 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.780431 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.763600 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.776829 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.765378 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.781536 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.757844 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.775427 Acc@1: 5.937500\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.678822 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.646017 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.657649 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.628828 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.642261 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.651081 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.656447 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.623494 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.640159 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.620278 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.751236 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.729665 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.725069 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.691513 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.710293 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.696765 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.701915 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.647784 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.661746 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.716286 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.699624 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.672316 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.670323 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.707462 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.689535 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.658958 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.658519 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.632256 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.644720 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.654870 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.666595 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.667180 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.666474 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.661231 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.663019 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.646582 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.676495 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.643681 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.636117 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.673370 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.692125 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.642800 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.641052 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.655407 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.654071 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.637932 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.633535 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.606091 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.688140 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.648221 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.671424 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.613944 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.624611 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.727490 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.707821 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.678997 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.703063 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.672128 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.664623 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.675712 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.668775 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.649720 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.670471 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.642087 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.656240 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.635345 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.633099 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m epsilon of client 1 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 3] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.966787 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.887186 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.710289 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.746122 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.705533 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.742177 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.696392 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.735154 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.694512 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.732611 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.688714 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.727991 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.685301 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.725511 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.684110 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.723892 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.684211 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.722473 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.677546 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.719183 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.675259 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.715966 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.678148 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.715188 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.668455 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.709038 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.665896 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.708444 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.656722 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.700595 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.659303 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.706128 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.657456 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.698978 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.661646 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.701758 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.650948 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.694723 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.647639 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.692729 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.638127 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.691598 Acc@1: 6.562500\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.679585 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.638574 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.681213 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.628221 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.682734 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.637175 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.689905 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.633098 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.681930 Acc@1: 5.468750\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.610064 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.543007 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.601604 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.602987 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.638270 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.561937 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.622281 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.532103 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.590681 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.550189 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.607092 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.541985 Acc@1: 1.875000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.593099 Acc@1: 1.875000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.566281 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.606862 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.528322 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.597016 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.566466 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.608954 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.560679 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.607472 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.539323 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.591184 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.574881 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.607902 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.559037 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.609983 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.601317 Acc@1: 1.875000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.652468 Acc@1: 1.875000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.595500 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.637123 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.557522 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.596653 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.558297 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.601353 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.532834 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.586704 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.539021 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.585586 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.575169 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.620890 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.550453 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.599458 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.536293 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.602948 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.523061 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.587512 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.513289 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.579770 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.558316 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.633465 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.543846 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.602885 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.544383 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.600589 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m epsilon of client 3 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 4] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.906612 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.843031 Acc@1: 0.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.758948 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.752458 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.756331 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.748008 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.755156 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.746855 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.756137 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.744892 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.754294 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.743241 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.756561 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.742284 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.748378 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.735179 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.747541 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.736654 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.745833 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.734415 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.743999 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.732727 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.742583 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.730124 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.739899 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.727515 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.758445 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.738440 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.734095 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.734435 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.734769 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.723245 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.734056 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.719825 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.724549 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.717189 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.720321 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.714788 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.717828 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.709685 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.793396 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.751099 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.709391 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.706507 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.703519 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.709870 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.724849 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.711506 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.697532 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.693121 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.702524 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.715207 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.715815 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.711174 Acc@1: 4.375000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.627008 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.616820 Acc@1: 13.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.613062 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.591511 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.624109 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.621373 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.678417 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.648995 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.642633 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.623629 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.626336 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.614573 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.639736 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.627263 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.622209 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.615135 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.608739 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.684962 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.632374 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.618363 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.641395 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.661793 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.625445 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.617343 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.615731 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.610792 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.631893 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.631599 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.618827 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.606594 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.648471 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.620457 Acc@1: 0.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.614513 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.602625 Acc@1: 0.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.633014 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.616238 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.687023 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.673758 Acc@1: 13.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.630603 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.613994 Acc@1: 13.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.615186 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.605857 Acc@1: 13.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.652612 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.633557 Acc@1: 13.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.630076 Acc@1: 8.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.615847 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.625521 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.607170 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.620054 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.602672 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.605750 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.613186 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m epsilon of client 4 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 2] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.161422 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.016004 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.817957 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.826258 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.809076 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.820047 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.798220 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.812741 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.787594 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.805958 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.777120 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.798866 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.774487 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.794863 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.770708 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.792722 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.764643 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.784986 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.770764 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.789097 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.856513 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.833412 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.762822 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.781039 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.758777 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.778109 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.755408 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.773453 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.753464 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.774774 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.750920 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.767947 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.754883 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.769468 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.750549 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.764864 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.746501 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.759870 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.762101 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.766767 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.741747 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.758775 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.744076 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.757995 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.748189 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.760992 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.732822 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.747362 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.755189 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.753108 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.737400 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.748754 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.725030 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.738075 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.717075 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.736707 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.727462 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.739160 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.731448 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.751219 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.770077 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.768430 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.755858 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.761466 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.761629 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.757966 Acc@1: 1.406250\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.538859 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.569735 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.520533 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.566109 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.555468 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.554729 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.508820 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.543863 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.523455 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.625394 Acc@1: 2.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.563363 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.620211 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.557656 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.573810 Acc@1: 0.625000\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "DEBUG flwr 2024-03-25 15:59:37,474 | server.py:236 | fit_round 3 received 5 results and 0 failures\n", - "03/25/2024 15:59:37:DEBUG:fit_round 3 received 5 results and 0 failures\n", - "INFO flwr 2024-03-25 15:59:37,512 | server.py:125 | fit progress: (3, 0.03442562561409146, {'accuracy': 0.7838541666666666}, 134.5784962719772)\n", - "03/25/2024 15:59:37:INFO:fit progress: (3, 0.03442562561409146, {'accuracy': 0.7838541666666666}, 134.5784962719772)\n", - "DEBUG flwr 2024-03-25 15:59:37,512 | server.py:173 | evaluate_round 3: strategy sampled 5 clients (out of 5)\n", - "03/25/2024 15:59:37:DEBUG:evaluate_round 3: strategy sampled 5 clients (out of 5)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.504348 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.544843 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.545226 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.550275 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.495776 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.526276 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.531253 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.549494 Acc@1: 1.250000\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "DEBUG flwr 2024-03-25 15:59:37,639 | server.py:187 | evaluate_round 3 received 5 results and 0 failures\n", - "03/25/2024 15:59:37:DEBUG:evaluate_round 3 received 5 results and 0 failures\n", - "INFO flwr 2024-03-25 15:59:37,640 | server.py:153 | FL finished in 134.70676046190783\n", - "03/25/2024 15:59:37:INFO:FL finished in 134.70676046190783\n", - "INFO flwr 2024-03-25 15:59:37,641 | app.py:226 | app_fit: losses_distributed [(1, 0.03277678291002909), (2, 0.033680088847291234), (3, 0.03389436988269582)]\n", - "03/25/2024 15:59:37:INFO:app_fit: losses_distributed [(1, 0.03277678291002909), (2, 0.033680088847291234), (3, 0.03389436988269582)]\n", - "INFO flwr 2024-03-25 15:59:37,641 | app.py:227 | app_fit: metrics_distributed_fit {}\n", - "03/25/2024 15:59:37:INFO:app_fit: metrics_distributed_fit {}\n", - "INFO flwr 2024-03-25 15:59:37,642 | app.py:228 | app_fit: metrics_distributed {}\n", - "03/25/2024 15:59:37:INFO:app_fit: metrics_distributed {}\n", - "INFO flwr 2024-03-25 15:59:37,643 | app.py:229 | app_fit: losses_centralized [(0, 0.03640277712952857), (1, 0.03320106863975525), (2, 0.03418041385856329), (3, 0.03442562561409146)]\n", - "03/25/2024 15:59:37:INFO:app_fit: losses_centralized [(0, 0.03640277712952857), (1, 0.03320106863975525), (2, 0.03418041385856329), (3, 0.03442562561409146)]\n", - "INFO flwr 2024-03-25 15:59:37,644 | app.py:230 | app_fit: metrics_centralized {'accuracy': [(0, 0.7838541666666666), (1, 0.7838541666666666), (2, 0.7838541666666666), (3, 0.7838541666666666)]}\n", - "03/25/2024 15:59:37:INFO:app_fit: metrics_centralized {'accuracy': [(0, 0.7838541666666666), (1, 0.7838541666666666), (2, 0.7838541666666666), (3, 0.7838541666666666)]}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m epsilon of client 2 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 3] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 4] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "Executing th confuguration\n", - "{'dp_activate': False, 'n_clients': 10, 'train_test': True, 'train_portion': 0.5, 'aggreg_algo': 'FedAvg', 'Tl': False}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 0] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 2] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m [Client 1] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1295135)\u001b[0m cuda:0\n", - "/home/local/USHERBROOKE/saho6810/MEDfl/code/MEDfl/notebooks/data/masterDataSet/Mimic_ouael.csv\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO flwr 2024-03-25 16:00:28,038 | app.py:178 | Starting Flower simulation, config: ServerConfig(num_rounds=2, round_timeout=None)\n", - "03/25/2024 16:00:28:INFO:Starting Flower simulation, config: ServerConfig(num_rounds=2, round_timeout=None)\n", - "2024-03-25 16:00:32,164\tINFO worker.py:1621 -- Started a local Ray instance.\n", - "INFO flwr 2024-03-25 16:00:34,589 | app.py:213 | Flower VCE: Ray initialized with resources: {'memory': 38119892583.0, 'object_store_memory': 78643200.0, 'node:10.44.86.57': 1.0, 'CPU': 24.0, 'node:__internal_head__': 1.0, 'accelerator_type:G': 1.0, 'GPU': 1.0}\n", - "03/25/2024 16:00:34:INFO:Flower VCE: Ray initialized with resources: {'memory': 38119892583.0, 'object_store_memory': 78643200.0, 'node:10.44.86.57': 1.0, 'CPU': 24.0, 'node:__internal_head__': 1.0, 'accelerator_type:G': 1.0, 'GPU': 1.0}\n", - "INFO flwr 2024-03-25 16:00:34,589 | app.py:219 | Optimize your simulation with Flower VCE: https://flower.dev/docs/framework/how-to-run-simulations.html\n", - "03/25/2024 16:00:34:INFO:Optimize your simulation with Flower VCE: https://flower.dev/docs/framework/how-to-run-simulations.html\n", - "INFO flwr 2024-03-25 16:00:34,590 | app.py:242 | Flower VCE: Resources for each Virtual Client: {'num_cpus': 1.0, 'num_gpus': 1.0}\n", - "03/25/2024 16:00:34:INFO:Flower VCE: Resources for each Virtual Client: {'num_cpus': 1.0, 'num_gpus': 1.0}\n", - "INFO flwr 2024-03-25 16:00:34,597 | app.py:288 | Flower VCE: Creating VirtualClientEngineActorPool with 1 actors\n", - "03/25/2024 16:00:34:INFO:Flower VCE: Creating VirtualClientEngineActorPool with 1 actors\n", - "INFO flwr 2024-03-25 16:00:34,598 | server.py:89 | Initializing global parameters\n", - "03/25/2024 16:00:34:INFO:Initializing global parameters\n", - "INFO flwr 2024-03-25 16:00:34,599 | server.py:272 | Using initial parameters provided by strategy\n", - "03/25/2024 16:00:34:INFO:Using initial parameters provided by strategy\n", - "INFO flwr 2024-03-25 16:00:34,599 | server.py:91 | Evaluating initial parameters\n", - "03/25/2024 16:00:34:INFO:Evaluating initial parameters\n", - "INFO flwr 2024-03-25 16:00:34,612 | server.py:94 | initial parameters (loss, other metrics): 0.03454404426556008, {'accuracy': 0.7734375}\n", - "03/25/2024 16:00:34:INFO:initial parameters (loss, other metrics): 0.03454404426556008, {'accuracy': 0.7734375}\n", - "INFO flwr 2024-03-25 16:00:34,612 | server.py:104 | FL starting\n", - "03/25/2024 16:00:34:INFO:FL starting\n", - "DEBUG flwr 2024-03-25 16:00:34,613 | server.py:222 | fit_round 1: strategy sampled 5 clients (out of 5)\n", - "03/25/2024 16:00:34:DEBUG:fit_round 1: strategy sampled 5 clients (out of 5)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/MEDfl/code/MEDfl/Medfl/LearningManager/utils.py:19: DeprecationWarning: Use of .. or absolute path in a resource path is not allowed and will raise exceptions in a future release.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m global_yaml_path = pkg_resources.resource_filename(__name__, \"../../global_params.yaml\")\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m [Client 3] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.843970 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.864490 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.595629 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.717833 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.588763 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.704576 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.581696 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.696451 Acc@1: 5.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.571893 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.696330 Acc@1: 5.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.573144 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.699618 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.574297 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.684606 Acc@1: 5.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.568534 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.679919 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.561043 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.671035 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.557861 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.667662 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.552341 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.661885 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.549566 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.658573 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.544558 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.555039 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.454301 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.553489 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.430089 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.543128 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.443096 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.550246 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.436490 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.527603 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.412693 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.549590 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.481958 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.592890 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.532253 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.623003 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.444089 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.552246 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.467730 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.564404 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.441746 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.553463 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.535479 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.624712 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.454836 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.557851 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.431337 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.543563 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m epsilon of client 3 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m [Client 0] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.602899 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.228966 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.847809 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.821365 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.837203 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.812052 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.834927 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.808074 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.834620 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.804760 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.828007 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.799822 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.827623 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.797662 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.826944 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.795904 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.826832 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.794879 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.825354 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.793849 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.825400 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.794300 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.835999 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.795953 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.824913 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.788218 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.824906 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.786462 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.828408 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.786988 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.836452 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.790669 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.824397 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.783178 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.824377 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.783227 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.820355 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.780679 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.825921 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.781554 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.825992 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.780746 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.819366 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.776059 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.817685 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.776062 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.816299 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.775010 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.814873 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.774802 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.818855 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.773210 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.811442 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.768075 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.823616 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.779139 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.810161 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.763956 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.810537 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.763433 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.812443 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.763157 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.810625 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.764880 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.826456 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.778304 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.923171 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.821928 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.811906 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.761783 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.804761 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.765584 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.809440 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.711249 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.728726 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.674649 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.974038 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.820057 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.732395 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.686755 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.718121 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.684516 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.695133 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.665253 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.747389 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.679227 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.710984 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.671796 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m epsilon of client 0 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m [Client 1] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.229297 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.063050 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.804736 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.833501 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.799463 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.820797 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.780739 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.810455 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.770141 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.798036 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.768196 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.793807 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.766985 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.789627 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.775702 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.792029 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.766011 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.787010 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.769848 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.786476 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.760897 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.781250 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.757758 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.777833 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.745440 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.774729 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.756095 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.794141 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.754344 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.776482 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.746980 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.771374 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.779140 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.786036 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.760590 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.776386 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.744879 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.766485 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.742747 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.767241 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.741575 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.765833 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.745067 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.768356 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.744487 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.765359 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.750717 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.773804 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.731107 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.756188 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.734880 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.758845 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.732278 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.754621 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.735637 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.757344 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.729809 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.751727 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.722415 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.749330 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.722533 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.745704 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.720213 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.743322 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.740979 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.755383 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.717824 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.741090 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.723442 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.748020 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.701882 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.731735 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.687827 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.732539 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.691893 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.732715 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.703675 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.731327 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.681998 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.720605 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.680639 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.713074 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.702115 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.732702 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.690410 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.622856 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.585986 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.663843 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.640618 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.672325 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.597336 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.623930 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.594720 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.616887 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.593560 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.609020 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.601529 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.626978 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.592724 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.641086 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.610023 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.642203 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.603050 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.633699 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.565397 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.604574 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m epsilon of client 1 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m [Client 4] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.642370 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.228367 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.670802 Acc@1: 18.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.725960 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.658825 Acc@1: 18.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.716298 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.652708 Acc@1: 18.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.710911 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.654358 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.710449 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.648402 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.706643 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.641472 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.700328 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.639222 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.699011 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.636605 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.698893 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.632361 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.692920 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.630727 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.685189 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.630065 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.689286 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.628226 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.687068 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.627865 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.678712 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.624235 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.681782 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.621520 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.679992 Acc@1: 5.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.620861 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.697578 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.617083 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.666163 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.612034 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.662848 Acc@1: 5.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.592166 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.653540 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.623116 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.667103 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.609240 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.651670 Acc@1: 5.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.617769 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.658418 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.605676 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.648881 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.604920 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.651460 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.602580 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.651661 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.592582 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.644953 Acc@1: 8.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.615049 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.653780 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.603504 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.656793 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.589094 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.647457 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.600235 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.648510 Acc@1: 8.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.604455 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.655327 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.588356 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.634980 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.959042 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.835333 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.595001 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.646887 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.597846 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.640354 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.592508 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.641121 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.590420 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.631054 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.603140 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.641047 Acc@1: 10.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.596472 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.638690 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.595271 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.631800 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.572274 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.621587 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.589519 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.630679 Acc@1: 6.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.580059 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.631083 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.580287 Acc@1: 18.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.628279 Acc@1: 9.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.574468 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.622506 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.559909 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.619308 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.603998 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.651495 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.557507 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.614126 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.561815 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.613566 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 50 \tLoss: 0.560378 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 50 \tLoss: 0.609814 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 51 \tLoss: 0.539806 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 51 \tLoss: 0.607488 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 52 \tLoss: 0.553905 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 52 \tLoss: 0.615316 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 53 \tLoss: 0.549265 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 53 \tLoss: 0.630778 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 54 \tLoss: 0.542147 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 54 \tLoss: 0.608784 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 55 \tLoss: 0.539411 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 55 \tLoss: 0.609352 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 56 \tLoss: 0.555285 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 56 \tLoss: 0.608621 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 57 \tLoss: 0.524351 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 57 \tLoss: 0.588292 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 58 \tLoss: 0.524861 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 58 \tLoss: 0.593473 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 59 \tLoss: 0.535891 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 59 \tLoss: 0.616972 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 60 \tLoss: 0.569214 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 60 \tLoss: 0.605383 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 61 \tLoss: 0.523802 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 61 \tLoss: 0.589079 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 62 \tLoss: 0.541109 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 62 \tLoss: 0.588182 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 63 \tLoss: 0.572010 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 63 \tLoss: 0.610281 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 64 \tLoss: 0.531184 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 64 \tLoss: 0.591679 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 65 \tLoss: 0.542071 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 65 \tLoss: 0.587388 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 66 \tLoss: 0.538011 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 66 \tLoss: 0.599871 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 67 \tLoss: 0.568065 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 67 \tLoss: 0.620553 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 68 \tLoss: 0.543192 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 68 \tLoss: 0.592314 Acc@1: 8.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 69 \tLoss: 0.543602 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 69 \tLoss: 0.584848 Acc@1: 5.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 70 \tLoss: 0.541572 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 70 \tLoss: 0.593376 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 71 \tLoss: 0.539701 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 71 \tLoss: 0.580307 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 72 \tLoss: 0.522693 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 72 \tLoss: 0.574728 Acc@1: 8.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 73 \tLoss: 0.569131 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 73 \tLoss: 0.608959 Acc@1: 8.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 74 \tLoss: 0.534920 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 74 \tLoss: 0.592762 Acc@1: 8.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 75 \tLoss: 0.519643 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 75 \tLoss: 0.566068 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 76 \tLoss: 0.526426 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 76 \tLoss: 0.583337 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 77 \tLoss: 0.515892 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 77 \tLoss: 0.574275 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.541269 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.593842 Acc@1: 8.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.518848 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.562452 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.553002 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.588740 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.594843 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.618721 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.516839 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.586003 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.508625 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.561184 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.516208 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.566593 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.517999 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.566965 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.558783 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.590774 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.546107 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.588847 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.837303 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.740344 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.547734 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.611322 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.532251 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.589956 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.566709 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.604427 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.529812 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.577110 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.542156 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.585336 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.514220 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.561128 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.554940 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.591050 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.498809 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.559715 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.534232 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.595092 Acc@1: 8.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.555345 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.586356 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.512963 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.570061 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.559692 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.597321 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.493707 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.552374 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.556735 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.596395 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.521749 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.567913 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.531513 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.579218 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.529076 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.572179 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.520788 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.570381 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.541074 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.586740 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.520830 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.564752 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.500921 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.566135 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.507259 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.550028 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.545008 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.578147 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.545462 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.588503 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.507072 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.565626 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.490707 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.556661 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.517633 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.569695 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m epsilon of client 4 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m [Client 2] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.679867 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.239831 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.872198 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.804146 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.861254 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.801855 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.869195 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.798241 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.865905 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.795092 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.862717 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.794563 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.861753 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.791168 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.858721 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.788298 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.858494 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.786125 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.856830 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.784215 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.854932 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.782025 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.850272 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.783126 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.852238 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.782742 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.855665 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.788328 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.853182 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.777271 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.854212 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.780087 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.849370 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.780130 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.869011 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.785226 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.852252 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.788365 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.844136 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.780693 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.845332 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.774871 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.850408 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.774943 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.847139 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.777066 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.843020 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.769008 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.842282 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.775257 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.836245 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.769704 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.838322 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.773128 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.824406 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.763642 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.839319 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.783384 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.841781 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.776417 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.835379 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.767867 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.838654 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.773040 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.840398 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.769920 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.826320 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.766009 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.818183 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.762165 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.820786 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.756672 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.842007 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.770512 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.814828 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.766377 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.790432 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.755105 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.800541 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.755321 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.805278 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.759065 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.826407 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.770628 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.828677 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.759437 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.817042 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.756773 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.807750 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.745344 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.828359 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.758279 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.806428 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.761589 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.790360 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.743184 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.783631 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.733023 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.812791 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.762828 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 50 \tLoss: 0.790487 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 50 \tLoss: 0.742141 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 51 \tLoss: 0.782803 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 51 \tLoss: 0.747077 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 52 \tLoss: 0.785338 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 52 \tLoss: 0.735678 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 53 \tLoss: 0.769119 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 53 \tLoss: 0.727650 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 54 \tLoss: 0.769051 Acc@1: 7.500000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.693858 Acc@1: 8.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.765946 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.703365 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.837713 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.750174 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.766218 Acc@1: 7.500000\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "DEBUG flwr 2024-03-25 16:01:23,498 | server.py:236 | fit_round 1 received 5 results and 0 failures\n", - "03/25/2024 16:01:23:DEBUG:fit_round 1 received 5 results and 0 failures\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.694356 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.729735 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.680701 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.762125 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.695678 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.736876 Acc@1: 7.500000\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING flwr 2024-03-25 16:01:23,517 | fedavg.py:250 | No fit_metrics_aggregation_fn provided\n", - "03/25/2024 16:01:23:WARNING:No fit_metrics_aggregation_fn provided\n", - "INFO flwr 2024-03-25 16:01:23,530 | server.py:125 | fit progress: (1, 0.0346703546888688, {'accuracy': 0.0}, 48.916672210907564)\n", - "03/25/2024 16:01:23:INFO:fit progress: (1, 0.0346703546888688, {'accuracy': 0.0}, 48.916672210907564)\n", - "DEBUG flwr 2024-03-25 16:01:23,531 | server.py:173 | evaluate_round 1: strategy sampled 5 clients (out of 5)\n", - "03/25/2024 16:01:23:DEBUG:evaluate_round 1: strategy sampled 5 clients (out of 5)\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "DEBUG flwr 2024-03-25 16:01:23,675 | server.py:187 | evaluate_round 1 received 5 results and 0 failures\n", - "03/25/2024 16:01:23:DEBUG:evaluate_round 1 received 5 results and 0 failures\n", - "WARNING flwr 2024-03-25 16:01:23,676 | fedavg.py:281 | No evaluate_metrics_aggregation_fn provided\n", - "03/25/2024 16:01:23:WARNING:No evaluate_metrics_aggregation_fn provided\n", - "DEBUG flwr 2024-03-25 16:01:23,676 | server.py:222 | fit_round 2: strategy sampled 5 clients (out of 5)\n", - "03/25/2024 16:01:23:DEBUG:fit_round 2: strategy sampled 5 clients (out of 5)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.686712 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.719014 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.680705 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m epsilon of client 2 : eps = 0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m [Client 4] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m [Client 3] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m [Client 0] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m [Client 1] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m [Client 2] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m [Client 2] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.937851 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.842202 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.876831 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.797174 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.855585 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.781792 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.855149 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.783556 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.852241 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.780424 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.827041 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.765166 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.828319 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.768274 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.824594 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.771044 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.817040 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.755901 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.820711 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.753458 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.820301 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.756615 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.813036 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.747881 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.809429 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.749772 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.808022 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.647936 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.771263 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.656146 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.679429 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.608250 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.658545 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.590598 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.611364 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.586619 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.663397 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.601578 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.694894 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.636774 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.647923 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.640201 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.618555 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.584244 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.623405 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.568862 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.621685 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.576480 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.632007 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.624195 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.633428 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.561769 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.697889 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.636746 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.639485 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.701857 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.648259 Acc@1: 15.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.559437 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.676216 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.640582 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.597050 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.552550 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.580748 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.530784 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.577562 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.554056 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.797719 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.680892 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.661282 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.611792 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.601760 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.550336 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.580416 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.537984 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.589009 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.532867 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.597911 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.544622 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.793567 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.752547 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.628157 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.561664 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.623087 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.559630 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.563761 Acc@1: 7.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.537443 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.621423 Acc@1: 15.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.624388 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m epsilon of client 2 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m [Client 0] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.895657 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.887794 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.837743 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.807814 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.821060 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.792902 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.818629 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.792461 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.820286 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.788695 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.814697 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.785403 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.810629 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.780621 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.807366 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.784906 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.808096 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.780553 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.803930 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.775107 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.807480 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.776658 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.805611 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.773742 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.802910 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.772327 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.808996 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.778653 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.796825 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.765514 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.791335 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.758959 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.797678 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.773422 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.790830 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.764888 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.801187 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.770205 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.785946 Acc@1: 7.812500\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.687654 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.718162 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.639000 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.633331 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.590221 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.673361 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.629728 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.702116 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.630424 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.698963 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.624540 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.663606 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.623948 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.668591 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.648469 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.713241 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.657760 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.635950 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.589546 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.659990 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.625422 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.628550 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.585129 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.639504 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.622805 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.632929 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.612485 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.672002 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.637765 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.646076 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.600630 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.622576 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.594986 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.791042 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.705123 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.688684 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.631075 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.682491 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.637399 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.745499 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.664107 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.668450 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.612825 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.648854 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.594943 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.616567 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.647851 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.722520 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.672282 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m epsilon of client 0 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m [Client 1] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.876552 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.870528 Acc@1: 0.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.774138 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.803110 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.760946 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.786210 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.773027 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.784709 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.737168 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.760137 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.729831 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.754623 Acc@1: 8.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.724239 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.746678 Acc@1: 8.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.724240 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.745077 Acc@1: 8.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.712757 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.737381 Acc@1: 8.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.720053 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.742535 Acc@1: 7.656250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.699928 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.730758 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.698546 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.733436 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.700843 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.725896 Acc@1: 8.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.701399 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.729038 Acc@1: 8.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.705626 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.735195 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.708382 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.759349 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.669098 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.697141 Acc@1: 8.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.677676 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.706665 Acc@1: 8.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.659183 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.681854 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.645926 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.679244 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.665410 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.689794 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.680685 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.705721 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.632340 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.687029 Acc@1: 8.281250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.663759 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.686999 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.622973 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.668927 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.714987 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.593559 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.574611 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.603767 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.547218 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.579129 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.556184 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.590965 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.561644 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.608576 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.570336 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.642524 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.589876 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.614278 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.581397 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.605259 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.608433 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.612708 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.649680 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.647970 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.569078 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.601917 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.596807 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.613231 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.550798 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.587005 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.545065 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.579659 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.616870 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.623172 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.569730 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.599345 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.593652 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.614470 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.538705 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.571978 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.633565 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.665208 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m epsilon of client 1 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m [Client 4] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.758651 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.791935 Acc@1: 5.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.630023 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.689435 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.613997 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.679754 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.606147 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.665079 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.614986 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.666161 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.596905 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.647633 Acc@1: 6.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.598302 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.660031 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.586615 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.647638 Acc@1: 5.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.585940 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.631587 Acc@1: 5.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.582110 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.625175 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.582775 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.636103 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.571041 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.613478 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.576594 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.629422 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.582610 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.619077 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.565026 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.603954 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.573361 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.609392 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.636319 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.654194 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.545203 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.596450 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.558867 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.597283 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.564127 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.596969 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.586988 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.613863 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.584887 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.618278 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.573635 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.608472 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.541632 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.583863 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.553895 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.586077 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.563721 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.602407 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.542778 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.595876 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.548766 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.588334 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.550606 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.591751 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.551472 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.597391 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.530918 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.578043 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.541724 Acc@1: 10.937500\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.494581 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.550284 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.478423 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.527636 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.478653 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.545529 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.469872 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.523742 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.481463 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.543433 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.497855 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.541942 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.504962 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.540322 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.496629 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.527758 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.468302 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.517439 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.539549 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.563518 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.506834 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.541810 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.475301 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.501930 Acc@1: 5.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.484609 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.512936 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.486363 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.527698 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.483726 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.535747 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.501831 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.530146 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.479875 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.519780 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.711795 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.668290 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.492676 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.533417 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.463456 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.517437 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.480735 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.524191 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.468114 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.507154 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.474337 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.527994 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.466523 Acc@1: 10.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.516094 Acc@1: 5.468750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.484400 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.510287 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.484884 Acc@1: 9.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.515987 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m epsilon of client 4 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m [Client 3] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.705372 Acc@1: 1.875000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.761529 Acc@1: 1.875000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.570122 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.692916 Acc@1: 5.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.577895 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.665548 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.561508 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.647698 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.549579 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.638744 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.544544 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.633150 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.551729 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.633448 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.544892 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.630553 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.524743 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.618052 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.561336 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.634821 Acc@1: 5.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.542650 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.621501 Acc@1: 5.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.511578 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.605317 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.503509 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.597848 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.501926 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.596571 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.500456 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.598543 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.530568 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.612322 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.519910 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.602929 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.516205 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.601958 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.517234 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.602451 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.500436 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.589768 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.553066 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.612614 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.484563 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.588620 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.530871 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.610239 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.508506 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.590662 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.480296 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.637517 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.504826 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.587049 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.501664 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.581435 Acc@1: 4.062500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.491589 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.591127 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.480529 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.582971 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.508944 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.592536 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.528847 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.599806 Acc@1: 5.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.457450 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.573943 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.514798 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.600563 Acc@1: 4.062500\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.407506 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.517715 Acc@1: 1.875000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.393728 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.530483 Acc@1: 0.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.413351 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.545927 Acc@1: 0.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.398534 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.510744 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.390863 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.495534 Acc@1: 0.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.482082 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.589990 Acc@1: 4.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.428087 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.549812 Acc@1: 0.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.589855 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.624884 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.419558 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.514112 Acc@1: 0.312500\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "DEBUG flwr 2024-03-25 16:02:07,635 | server.py:236 | fit_round 2 received 5 results and 0 failures\n", - "03/25/2024 16:02:07:DEBUG:fit_round 2 received 5 results and 0 failures\n", - "INFO flwr 2024-03-25 16:02:07,669 | server.py:125 | fit progress: (2, 0.033420395617391546, {'accuracy': 0.09375}, 93.05650869105011)\n", - "03/25/2024 16:02:07:INFO:fit progress: (2, 0.033420395617391546, {'accuracy': 0.09375}, 93.05650869105011)\n", - "DEBUG flwr 2024-03-25 16:02:07,671 | server.py:173 | evaluate_round 2: strategy sampled 5 clients (out of 5)\n", - "03/25/2024 16:02:07:DEBUG:evaluate_round 2: strategy sampled 5 clients (out of 5)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.422265 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.510818 Acc@1: 0.312500\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.422153 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.523971 Acc@1: 0.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m epsilon of client 3 : eps = 0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "DEBUG flwr 2024-03-25 16:02:07,835 | server.py:187 | evaluate_round 2 received 5 results and 0 failures\n", - "03/25/2024 16:02:07:DEBUG:evaluate_round 2 received 5 results and 0 failures\n", - "INFO flwr 2024-03-25 16:02:07,836 | server.py:153 | FL finished in 93.22341449209489\n", - "03/25/2024 16:02:07:INFO:FL finished in 93.22341449209489\n", - "INFO flwr 2024-03-25 16:02:07,837 | app.py:226 | app_fit: losses_distributed [(1, 0.0317799635961944), (2, 0.03155325049278783)]\n", - "03/25/2024 16:02:07:INFO:app_fit: losses_distributed [(1, 0.0317799635961944), (2, 0.03155325049278783)]\n", - "INFO flwr 2024-03-25 16:02:07,838 | app.py:227 | app_fit: metrics_distributed_fit {}\n", - "03/25/2024 16:02:07:INFO:app_fit: metrics_distributed_fit {}\n", - "INFO flwr 2024-03-25 16:02:07,839 | app.py:228 | app_fit: metrics_distributed {}\n", - "03/25/2024 16:02:07:INFO:app_fit: metrics_distributed {}\n", - "INFO flwr 2024-03-25 16:02:07,841 | app.py:229 | app_fit: losses_centralized [(0, 0.03454404426556008), (1, 0.0346703546888688), (2, 0.033420395617391546)]\n", - "03/25/2024 16:02:07:INFO:app_fit: losses_centralized [(0, 0.03454404426556008), (1, 0.0346703546888688), (2, 0.033420395617391546)]\n", - "INFO flwr 2024-03-25 16:02:07,842 | app.py:230 | app_fit: metrics_centralized {'accuracy': [(0, 0.7734375), (1, 0.0), (2, 0.09375)]}\n", - "03/25/2024 16:02:07:INFO:app_fit: metrics_centralized {'accuracy': [(0, 0.7734375), (1, 0.0), (2, 0.09375)]}\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m [Client 3] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m [Client 0] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m [Client 1] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m [Client 4] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m [Client 2] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m cuda:0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296035)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "/home/local/USHERBROOKE/saho6810/MEDfl/code/MEDfl/notebooks/data/masterDataSet/Mimic_ouael.csv\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO flwr 2024-03-25 16:02:57,058 | app.py:178 | Starting Flower simulation, config: ServerConfig(num_rounds=3, round_timeout=None)\n", - "03/25/2024 16:02:57:INFO:Starting Flower simulation, config: ServerConfig(num_rounds=3, round_timeout=None)\n", - "2024-03-25 16:03:01,150\tINFO worker.py:1621 -- Started a local Ray instance.\n", - "INFO flwr 2024-03-25 16:03:03,586 | app.py:213 | Flower VCE: Ray initialized with resources: {'CPU': 24.0, 'node:__internal_head__': 1.0, 'GPU': 1.0, 'accelerator_type:G': 1.0, 'object_store_memory': 78643200.0, 'node:10.44.86.57': 1.0, 'memory': 38170657997.0}\n", - "03/25/2024 16:03:03:INFO:Flower VCE: Ray initialized with resources: {'CPU': 24.0, 'node:__internal_head__': 1.0, 'GPU': 1.0, 'accelerator_type:G': 1.0, 'object_store_memory': 78643200.0, 'node:10.44.86.57': 1.0, 'memory': 38170657997.0}\n", - "INFO flwr 2024-03-25 16:03:03,586 | app.py:219 | Optimize your simulation with Flower VCE: https://flower.dev/docs/framework/how-to-run-simulations.html\n", - "03/25/2024 16:03:03:INFO:Optimize your simulation with Flower VCE: https://flower.dev/docs/framework/how-to-run-simulations.html\n", - "INFO flwr 2024-03-25 16:03:03,587 | app.py:242 | Flower VCE: Resources for each Virtual Client: {'num_cpus': 1.0, 'num_gpus': 1.0}\n", - "03/25/2024 16:03:03:INFO:Flower VCE: Resources for each Virtual Client: {'num_cpus': 1.0, 'num_gpus': 1.0}\n", - "INFO flwr 2024-03-25 16:03:03,594 | app.py:288 | Flower VCE: Creating VirtualClientEngineActorPool with 1 actors\n", - "03/25/2024 16:03:03:INFO:Flower VCE: Creating VirtualClientEngineActorPool with 1 actors\n", - "INFO flwr 2024-03-25 16:03:03,594 | server.py:89 | Initializing global parameters\n", - "03/25/2024 16:03:03:INFO:Initializing global parameters\n", - "INFO flwr 2024-03-25 16:03:03,595 | server.py:272 | Using initial parameters provided by strategy\n", - "03/25/2024 16:03:03:INFO:Using initial parameters provided by strategy\n", - "INFO flwr 2024-03-25 16:03:03,595 | server.py:91 | Evaluating initial parameters\n", - "03/25/2024 16:03:03:INFO:Evaluating initial parameters\n", - "INFO flwr 2024-03-25 16:03:03,606 | server.py:94 | initial parameters (loss, other metrics): 0.03451521081082961, {'accuracy': 0.4166666666666667}\n", - "03/25/2024 16:03:03:INFO:initial parameters (loss, other metrics): 0.03451521081082961, {'accuracy': 0.4166666666666667}\n", - "INFO flwr 2024-03-25 16:03:03,606 | server.py:104 | FL starting\n", - "03/25/2024 16:03:03:INFO:FL starting\n", - "DEBUG flwr 2024-03-25 16:03:03,607 | server.py:222 | fit_round 1: strategy sampled 5 clients (out of 5)\n", - "03/25/2024 16:03:03:DEBUG:fit_round 1: strategy sampled 5 clients (out of 5)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/MEDfl/code/MEDfl/Medfl/LearningManager/utils.py:19: DeprecationWarning: Use of .. or absolute path in a resource path is not allowed and will raise exceptions in a future release.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m global_yaml_path = pkg_resources.resource_filename(__name__, \"../../global_params.yaml\")\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 3] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 2.048670 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.370557 Acc@1: 2.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.793538 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.728878 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.784855 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.721978 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.774628 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.609126 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.604049 Acc@1: 2.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.599469 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.579049 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.598099 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.594280 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.723849 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.647743 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.603140 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.590665 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.599316 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.585864 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.601419 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.583979 Acc@1: 11.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.600797 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.601627 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.606317 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.590751 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.617368 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.592802 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.624461 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.635637 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.592932 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.575395 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.602615 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.594685 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.596363 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.581707 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.558866 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.548418 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.602859 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.577817 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.575298 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.572125 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.612651 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.602073 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m epsilon of client 3 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 0] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.951188 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.408383 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.811531 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.821830 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.811954 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.819065 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.811298 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.816348 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.809116 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.813321 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.793995 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.804741 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.799111 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.805180 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.796959 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.802719 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.796880 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.802150 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.793584 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.799045 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.791846 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.796881 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.791344 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.796291 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.787644 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.795211 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.788400 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.792682 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.780949 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.787846 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.780288 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.786614 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.781886 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.787348 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.781061 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.785867 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.789490 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.790868 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.777511 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.782906 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.778821 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.784025 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.776654 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.787873 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.776113 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.779421 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.765205 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.773653 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.769485 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.776935 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.788955 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.784082 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.769346 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.775028 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.762736 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.764810 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.786083 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.781546 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.763553 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.766160 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.767674 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.772627 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.769947 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.768988 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.770592 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.767422 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.762766 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.765146 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.745431 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.754365 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.770444 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.765566 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.746769 Acc@1: 7.187500\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.725375 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.712776 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.696781 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.700316 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.703291 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.702787 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.719755 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.705354 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.729337 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.727836 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.718518 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.703391 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.695539 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.699815 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.688191 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.694488 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.685458 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.698904 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.712794 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.696021 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.694517 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.690038 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.689346 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.708003 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.697171 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.722178 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.712682 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.760014 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.725063 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.686178 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.684296 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.698598 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.688699 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m epsilon of client 0 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 2] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 2.142135 Acc@1: 8.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.524763 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.795746 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.807726 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.781879 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.794481 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.774939 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.783926 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.769045 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.775921 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.763179 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.768946 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.758752 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.761990 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.756856 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.756555 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.753379 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.754856 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.744105 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.786915 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.748427 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.742427 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.741335 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.734488 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.740291 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.729433 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.732322 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.724853 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.729806 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.725269 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.725498 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.720977 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.723363 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.716646 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.723707 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.716852 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.720475 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.710503 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.767889 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.741461 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.716925 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.714259 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.714550 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.704867 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.719097 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.731241 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.711669 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.704426 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.710349 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.702155 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.711050 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.701474 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.709030 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.701008 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.706653 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.698440 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.703643 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.697519 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.696087 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.692842 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.696167 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.692132 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.703170 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.693708 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.678699 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.692021 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.684649 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.684633 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.714540 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.705518 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.676236 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.675863 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.678504 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.677406 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.667223 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.675714 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.615789 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.613201 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.605718 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.615853 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.650249 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.641461 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.654410 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.630178 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.625558 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.610678 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.629186 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.616037 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.594650 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.590941 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.613375 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.613043 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.665939 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.640335 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.595130 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.591301 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.590304 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.585291 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.703689 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.651432 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.594955 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.588772 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.613734 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.596056 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.646283 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.615129 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m epsilon of client 2 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 4] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.423989 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.088961 Acc@1: 5.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.716520 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.717583 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.704643 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.705883 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.743463 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.725201 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.698689 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.693862 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.695747 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.691241 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.693609 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.688184 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.691289 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.685606 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.687189 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.685009 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.689135 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.682317 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.686334 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.679498 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.691355 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.682876 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.681481 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.674493 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.688938 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.677899 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.678991 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.669917 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.676711 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.662734 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.669798 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.653036 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.671813 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.655755 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.662245 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.649130 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.666331 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.648086 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.702560 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.677493 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.678836 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.661290 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.656303 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.642494 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.654671 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.637786 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.662118 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.636761 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.645724 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.631377 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.643557 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.625318 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.648031 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.619550 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.642458 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.637004 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.641183 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.618691 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.646989 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.618585 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.636599 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.611044 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.639243 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.610381 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.627310 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.610184 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.627922 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.599285 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.624337 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.598095 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.625522 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.593565 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.624576 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.596231 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.623061 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.597539 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.620528 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.587558 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.620102 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.585716 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.616198 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.581906 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.614010 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.575891 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.611413 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.580998 Acc@1: 0.625000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.578357 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.529131 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.587437 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.547375 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.594918 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.539538 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.621554 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.562803 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.592241 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.531933 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.588034 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.535938 Acc@1: 1.875000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.655826 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.573536 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.590329 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.541437 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.593283 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.550886 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m epsilon of client 4 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 1] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.385525 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.147066 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.861139 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.868153 Acc@1: 4.843750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.835711 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.852433 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.825123 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.844777 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.815350 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.837367 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.817643 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.834360 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.803451 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.824639 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.799434 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.824057 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.793262 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.814671 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.788328 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.811206 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.787543 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.807741 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.792522 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.817542 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.785281 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.806775 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.779882 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.803838 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.776422 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.799130 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.776948 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.801107 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.773894 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.797958 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.770300 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.803362 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.768234 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.792425 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.771412 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.795726 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.760939 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.790535 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.775511 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.798491 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.763812 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.791370 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.759982 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.788336 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.765610 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.792302 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.758358 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.787897 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.789322 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.804670 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.755839 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.790345 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.750108 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.784141 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.746547 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.780693 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.758490 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.787792 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.753690 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.783062 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.763863 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.788190 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.746824 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.780610 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.745416 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.775310 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.746102 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.774020 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.743622 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.773591 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.747049 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.775688 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.737178 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.769371 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.736904 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.774514 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.746161 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.770933 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.766187 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.783021 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.737687 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.809782 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.762140 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.773430 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.743199 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.760587 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.748664 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.769504 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.742546 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.761747 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.728839 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.761005 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.735135 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.762565 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.742583 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.756784 Acc@1: 0.000000\n", - 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"03/25/2024 16:03:53:DEBUG:evaluate_round 1: strategy sampled 5 clients (out of 5)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.663373 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.687468 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.649322 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.691263 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m epsilon of client 1 : eps = 0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "DEBUG flwr 2024-03-25 16:03:53,618 | server.py:187 | evaluate_round 1 received 5 results and 0 failures\n", - "03/25/2024 16:03:53:DEBUG:evaluate_round 1 received 5 results and 0 failures\n", - "WARNING flwr 2024-03-25 16:03:53,618 | fedavg.py:281 | No evaluate_metrics_aggregation_fn provided\n", - "03/25/2024 16:03:53:WARNING:No evaluate_metrics_aggregation_fn provided\n", - "DEBUG flwr 2024-03-25 16:03:53,619 | server.py:222 | fit_round 2: strategy sampled 5 clients (out of 5)\n", - "03/25/2024 16:03:53:DEBUG:fit_round 2: strategy sampled 5 clients (out of 5)\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 2] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 4] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 3] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 1] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 0] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 2] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.827904 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.811325 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.743533 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.730152 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.725899 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.717627 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.729821 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.725377 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.713736 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.720782 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.707638 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.699947 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.706096 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.693262 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.689805 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.532936 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.519650 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.513161 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.514817 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.537094 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.516822 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.629028 Acc@1: 8.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.582096 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.625150 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.545726 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.560110 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.541553 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.554801 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.505635 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.503015 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.559165 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.569819 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.618162 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.584639 Acc@1: 7.343750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.505535 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.539581 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.533787 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.526701 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.583007 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.565300 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.540156 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.520880 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.574566 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.547000 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.509019 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.519537 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.558462 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.525201 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.516085 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.498962 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.703440 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.622841 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.526715 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.502133 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.547039 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.519435 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.556789 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.565855 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.523356 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.524588 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.509367 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.532673 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.551149 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.543106 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.520331 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.511565 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.528864 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.536580 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.536562 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.574196 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.469736 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.498639 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.517685 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.505278 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.515385 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.532981 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.510166 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.503099 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.566094 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.572928 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.532529 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.518020 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.487796 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.490156 Acc@1: 7.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.478876 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.492779 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.489835 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.490413 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m epsilon of client 2 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 3] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.831456 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.749325 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.759405 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.703848 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.729374 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.685629 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.727142 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.684248 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.715318 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.676419 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.703386 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.670058 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.701152 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.664200 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.694697 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.666516 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.687105 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.656713 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.677607 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.652067 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.678326 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.653689 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.671882 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.646683 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.681272 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.651587 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.675752 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.604163 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.597011 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.557729 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.600266 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.597318 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.630426 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.595947 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.634526 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.576643 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.717872 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.647531 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.606392 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.568483 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.601510 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.567422 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.597749 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.562223 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.587189 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.549146 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.610012 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.593197 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.597515 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.564589 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.585816 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.546143 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.600529 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.553039 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.595362 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.550194 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.613128 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.577146 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.603838 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.581507 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.608220 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.570540 Acc@1: 11.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.610971 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.555120 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.571422 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.556279 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.570417 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.550136 Acc@1: 11.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.583676 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.546916 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.589590 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.553859 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.579276 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.543498 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.591276 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.550842 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.597056 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.564753 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.579847 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.545473 Acc@1: 11.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.605515 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.555833 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.662258 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.678616 Acc@1: 7.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.605564 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.613118 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.594607 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.569995 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m epsilon of client 3 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 0] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.829037 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.817727 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.798239 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.787378 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.792172 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.779620 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.774024 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.771588 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.787823 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.773330 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.781072 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.773359 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.781192 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.767910 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.772426 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.762339 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.778590 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.765276 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.766831 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.761939 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.772830 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.759284 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.777346 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.762334 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.780250 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.773959 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.768439 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.764350 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.759785 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.755695 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.750005 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.749550 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.749014 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.744096 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.747723 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.741216 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.756042 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.751195 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.745750 Acc@1: 3.125000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.712515 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.686330 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.687585 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.651942 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.712288 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.685253 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.688535 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.681505 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.707813 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.691281 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.691870 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.663910 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.670825 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.684311 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.703610 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.662937 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.670633 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.665448 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.677953 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.658565 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.663955 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.729011 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.705056 Acc@1: 9.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.676529 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.701490 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.725795 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.710891 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.666974 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.674126 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.650686 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.666346 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.662706 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.677208 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.685130 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.693969 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.641466 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.664170 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.664661 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.734779 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.733358 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.714011 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.653199 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.666742 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.639177 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.657130 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.747732 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.725717 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.737536 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.726702 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.646939 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.659353 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.660821 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.704658 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.624874 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.660144 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.678990 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.681386 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.660676 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.677167 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.660407 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.663393 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.640428 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.688205 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.681774 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.689944 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.622441 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.652794 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m epsilon of client 0 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 4] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.907327 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.795403 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.720808 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.689605 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.680160 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.660455 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.664181 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.648458 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.659589 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.641206 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.659213 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.633045 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.649641 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.631164 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.641632 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.619856 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.643204 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.620321 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.642623 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.612460 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.639848 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.604782 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.636907 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.614587 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.635311 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.599316 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.626698 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.599466 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.628543 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.587203 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.626847 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.582124 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.625619 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.587892 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.627336 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.582418 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.623720 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.583497 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.614469 Acc@1: 0.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.580114 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.634124 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.581154 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.621371 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.579614 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.619304 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.565737 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.615692 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.577331 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.624889 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.591557 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.621623 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.616117 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.546365 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.576221 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.508401 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.592762 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.641513 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.613108 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.542016 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.594334 Acc@1: 11.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.526499 Acc@1: 6.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.590059 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.518440 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.569765 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.514752 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.663140 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.629198 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.612606 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.572923 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.610978 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.569767 Acc@1: 4.531250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.596891 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.531741 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.569993 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.520062 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.596890 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.540951 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.595905 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.524381 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.573258 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.513993 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.586313 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.518717 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.583474 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.562303 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.587052 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.518801 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.593625 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.531036 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.593634 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.535360 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.585073 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.512827 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.629989 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.543176 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.566828 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.511881 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m epsilon of client 4 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 1] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.841127 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.854527 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.787215 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.809500 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.773744 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.798744 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.793371 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.810708 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.763983 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.789210 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.764068 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.783992 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.756402 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.778823 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.753374 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.773800 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.753767 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.774125 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.762196 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.775860 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.751767 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.768083 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.743092 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.762346 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.740068 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.760914 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.750910 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.761452 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.743982 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.763362 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.731085 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.757194 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.723469 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.758292 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.718334 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.743031 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.714262 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.739721 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.706087 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.729486 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.707413 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.742126 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.750515 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.784903 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.732511 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.748303 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.703119 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.717498 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.742462 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.777464 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.714564 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.726650 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.710071 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.732260 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.699217 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.724177 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.680010 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.704386 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.685299 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.710594 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.705685 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.740696 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.682334 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.639053 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.603898 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.629482 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.729087 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.749764 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.636919 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.668974 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.626501 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.631954 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.641653 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.645757 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.640013 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.647086 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.610645 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.618143 Acc@1: 0.000000\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "DEBUG flwr 2024-03-25 16:04:38,075 | server.py:236 | fit_round 2 received 5 results and 0 failures\n", - "03/25/2024 16:04:38:DEBUG:fit_round 2 received 5 results and 0 failures\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.626324 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.629692 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.624941 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.635194 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.614071 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.624666 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.666247 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.679383 Acc@1: 0.000000\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO flwr 2024-03-25 16:04:38,094 | server.py:125 | fit progress: (2, 0.03206352159088733, {'accuracy': 0.17447916666666666}, 94.48660997697152)\n", - "03/25/2024 16:04:38:INFO:fit progress: (2, 0.03206352159088733, {'accuracy': 0.17447916666666666}, 94.48660997697152)\n", - "DEBUG flwr 2024-03-25 16:04:38,095 | server.py:173 | evaluate_round 2: strategy sampled 5 clients (out of 5)\n", - "03/25/2024 16:04:38:DEBUG:evaluate_round 2: strategy sampled 5 clients (out of 5)\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "DEBUG flwr 2024-03-25 16:04:38,214 | server.py:187 | evaluate_round 2 received 5 results and 0 failures\n", - "03/25/2024 16:04:38:DEBUG:evaluate_round 2 received 5 results and 0 failures\n", - "DEBUG flwr 2024-03-25 16:04:38,215 | server.py:222 | fit_round 3: strategy sampled 5 clients (out of 5)\n", - "03/25/2024 16:04:38:DEBUG:fit_round 3: strategy sampled 5 clients (out of 5)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.629145 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.647740 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m epsilon of client 1 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 1] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 4] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 3] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 0] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 2] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 2] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.175503 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.958894 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.674917 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.689189 Acc@1: 1.718750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.665581 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.674016 Acc@1: 1.718750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.667818 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.677838 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.657965 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.665479 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.660849 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.658757 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.669217 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.666208 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.675411 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.667531 Acc@1: 1.718750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.679785 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.654572 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.629410 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.629222 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.678358 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.644232 Acc@1: 1.718750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.647778 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.630226 Acc@1: 1.718750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.623402 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.608787 Acc@1: 1.718750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.665146 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.656239 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.647555 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.632495 Acc@1: 1.718750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.634880 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.690864 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.672015 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.638423 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.620944 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.612904 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.607704 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.601244 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.626711 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.605692 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.616007 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.597328 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.615522 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.588586 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.605131 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.618030 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.609496 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.596802 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.597711 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.584003 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.583381 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.562520 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.563908 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.555745 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.676252 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.619422 Acc@1: 1.718750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.602139 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.598722 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.582795 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.564036 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.582535 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.596082 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.605476 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.576133 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.591930 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.564800 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.592006 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.570371 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.607209 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.578180 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.607002 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.568064 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.568372 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.587777 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.597783 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.578328 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.601376 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.632490 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.584047 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.552564 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.617709 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.586928 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.568750 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.564133 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.544328 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.529925 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.537215 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.545283 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.569916 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.545491 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.604748 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.561810 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.622412 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.588580 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.621226 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.601829 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.557913 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.542609 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.615780 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.567493 Acc@1: 1.718750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 50 \tLoss: 0.528172 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 50 \tLoss: 0.501495 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 51 \tLoss: 0.652602 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 51 \tLoss: 0.593038 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 52 \tLoss: 0.563402 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 52 \tLoss: 0.533319 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 53 \tLoss: 0.535265 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 53 \tLoss: 0.513031 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 54 \tLoss: 0.518290 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 54 \tLoss: 0.511046 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 55 \tLoss: 0.552119 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 55 \tLoss: 0.511259 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 56 \tLoss: 0.647410 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 56 \tLoss: 0.596249 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 57 \tLoss: 0.521785 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 57 \tLoss: 0.508610 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 58 \tLoss: 0.556700 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 58 \tLoss: 0.532289 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 59 \tLoss: 0.565228 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 59 \tLoss: 0.526930 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 60 \tLoss: 0.510628 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 60 \tLoss: 0.507466 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 61 \tLoss: 0.595891 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 61 \tLoss: 0.546934 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 62 \tLoss: 0.520661 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 62 \tLoss: 0.524392 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 63 \tLoss: 0.484220 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 63 \tLoss: 0.481870 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 64 \tLoss: 0.530319 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 64 \tLoss: 0.513239 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 65 \tLoss: 0.540998 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 65 \tLoss: 0.516672 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 66 \tLoss: 0.523828 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 66 \tLoss: 0.515026 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 67 \tLoss: 0.675212 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 67 \tLoss: 0.600083 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 68 \tLoss: 0.884022 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 68 \tLoss: 0.749741 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 69 \tLoss: 0.538431 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 69 \tLoss: 0.523650 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 70 \tLoss: 0.500515 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 70 \tLoss: 0.480386 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 71 \tLoss: 0.540982 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 71 \tLoss: 0.528061 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 72 \tLoss: 0.574874 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 72 \tLoss: 0.526320 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 73 \tLoss: 0.535374 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 73 \tLoss: 0.501890 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 74 \tLoss: 0.490974 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 74 \tLoss: 0.475634 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 75 \tLoss: 0.494628 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 75 \tLoss: 0.477011 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 76 \tLoss: 0.574794 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 76 \tLoss: 0.575898 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 77 \tLoss: 0.494351 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 77 \tLoss: 0.491710 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.652553 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.580474 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.561243 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.530355 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.508395 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.529632 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.518575 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.522907 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.486297 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.479117 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.494942 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.477392 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.494984 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.493132 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.508315 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.518950 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.480516 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.513210 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.505153 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.507053 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.605349 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.566656 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.462966 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.474718 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.458508 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.482281 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.466882 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.458958 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.497253 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.490468 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.480349 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.499374 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.548921 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.563130 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.543957 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.523467 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.458393 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.463785 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.523833 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.490687 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.478115 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.478141 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.470368 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.472592 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.462735 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.467859 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.539085 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.519275 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.465819 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.449835 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.453988 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.468928 Acc@1: 4.218750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.536241 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.504479 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.513110 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.491703 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.464904 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.458703 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.489098 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.468938 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.553618 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.549821 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.504860 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.485978 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.498145 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.491894 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.500481 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.477448 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.489676 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.471354 Acc@1: 3.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.477372 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.470365 Acc@1: 4.375000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.480430 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.466352 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.451968 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.448362 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m epsilon of client 2 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 1] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.910263 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.883575 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.755992 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.791229 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.754950 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.783416 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.742632 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.776589 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.726544 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.762848 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.731089 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.766223 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.722860 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.758567 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.733608 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.761115 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.731425 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.756012 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.705555 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.745194 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.718174 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.745095 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.704047 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.732028 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.710047 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.728311 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.708617 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 13 \tLoss: 0.732525 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.681989 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 14 \tLoss: 0.799347 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.704849 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 15 \tLoss: 0.744295 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.811233 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 16 \tLoss: 0.789125 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.777400 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 17 \tLoss: 0.788044 Acc@1: 1.093750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.728133 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 18 \tLoss: 0.755678 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.716358 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 19 \tLoss: 0.745905 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.712038 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 20 \tLoss: 0.743768 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.744993 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 21 \tLoss: 0.765953 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.717675 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 22 \tLoss: 0.737782 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.703738 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 23 \tLoss: 0.728306 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.697699 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 24 \tLoss: 0.727454 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.717746 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 25 \tLoss: 0.730194 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.700739 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 26 \tLoss: 0.728887 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.697522 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 27 \tLoss: 0.713573 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.700217 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 28 \tLoss: 0.719231 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.688661 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 29 \tLoss: 0.725426 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.730746 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 30 \tLoss: 0.737871 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.738163 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 31 \tLoss: 0.742310 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.706041 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 32 \tLoss: 0.715074 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.684969 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 33 \tLoss: 0.709103 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.682837 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 34 \tLoss: 0.706282 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.680773 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 35 \tLoss: 0.697288 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.668735 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 36 \tLoss: 0.704909 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.688497 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 37 \tLoss: 0.717325 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.689533 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 38 \tLoss: 0.708645 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.697412 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 39 \tLoss: 0.704313 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.662730 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 40 \tLoss: 0.686452 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.685151 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 41 \tLoss: 0.707841 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.667380 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 42 \tLoss: 0.683781 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.677360 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 43 \tLoss: 0.684843 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.702736 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 44 \tLoss: 0.706434 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.643957 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 45 \tLoss: 0.687363 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.714600 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 46 \tLoss: 0.718297 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.686430 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 47 \tLoss: 0.695126 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.663166 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 48 \tLoss: 0.679459 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.671169 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 49 \tLoss: 0.681406 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 50 \tLoss: 0.643519 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 50 \tLoss: 0.650913 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 51 \tLoss: 0.677892 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 51 \tLoss: 0.717808 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 52 \tLoss: 0.641339 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 52 \tLoss: 0.672636 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 53 \tLoss: 0.656397 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 53 \tLoss: 0.668862 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 54 \tLoss: 0.633951 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 54 \tLoss: 0.669993 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 55 \tLoss: 0.656245 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 55 \tLoss: 0.668050 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 56 \tLoss: 0.622980 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 56 \tLoss: 0.643338 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 57 \tLoss: 0.645556 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 57 \tLoss: 0.663526 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 58 \tLoss: 0.615071 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 58 \tLoss: 0.636779 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 59 \tLoss: 0.615480 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 59 \tLoss: 0.688043 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 60 \tLoss: 0.717965 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 60 \tLoss: 0.708271 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 61 \tLoss: 0.623621 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 61 \tLoss: 0.646227 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 62 \tLoss: 0.622085 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 62 \tLoss: 0.706728 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 63 \tLoss: 0.645565 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 63 \tLoss: 0.669369 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 64 \tLoss: 0.675105 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 64 \tLoss: 0.684808 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 65 \tLoss: 0.672551 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 65 \tLoss: 0.689830 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 66 \tLoss: 0.622955 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 71 \tLoss: 0.604345 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 71 \tLoss: 0.623408 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 72 \tLoss: 0.826896 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 72 \tLoss: 0.804188 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 73 \tLoss: 0.657409 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 73 \tLoss: 0.685839 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 74 \tLoss: 0.622299 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 74 \tLoss: 0.641591 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 75 \tLoss: 0.607955 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.611642 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.634977 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.622010 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.633437 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.637307 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.657492 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.613192 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.658897 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.643187 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.647402 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.618207 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.651712 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.643942 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.663378 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.606600 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.637859 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.611513 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.640671 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.602432 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.623200 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.603944 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.633813 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.640362 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.640305 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.573741 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.606578 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.602513 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.618016 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.615840 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.654818 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.587198 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.612210 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.594744 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.646557 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.597087 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.622676 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.574883 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.590943 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.577036 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.631460 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.632883 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.632281 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.590763 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.642520 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.616381 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.628815 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.592818 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.606725 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.585109 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.625088 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.576067 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.590540 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.822548 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.752714 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.658667 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.648383 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.574657 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.599408 Acc@1: 3.906250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.604586 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.609182 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.594547 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.615285 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.571960 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.589950 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.581209 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.619801 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.538573 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.588798 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.579426 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.593255 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.552041 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.595320 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m epsilon of client 1 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 4] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 1.105995 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 72 \tLoss: 0.498354 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 73 \tLoss: 0.558120 Acc@1: 10.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 73 \tLoss: 0.487813 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 74 \tLoss: 0.540629 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 74 \tLoss: 0.468195 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 75 \tLoss: 0.548035 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 75 \tLoss: 0.469009 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 76 \tLoss: 0.560047 Acc@1: 10.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 76 \tLoss: 0.555500 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 77 \tLoss: 0.563681 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 77 \tLoss: 0.495197 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.572625 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.508686 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.542035 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.501861 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.565794 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.503010 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.561971 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.516233 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.558028 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.482340 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.586914 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.513133 Acc@1: 1.875000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.545212 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.474954 Acc@1: 1.875000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.573296 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.485684 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.594616 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.497720 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.537682 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.468159 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.586768 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.535551 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.543538 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.505213 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.575569 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.500819 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.544626 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.470811 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.609219 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.572416 Acc@1: 5.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.555095 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.500894 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.548235 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.497752 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.538959 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.463668 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.544859 Acc@1: 10.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.470267 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.558743 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.489623 Acc@1: 0.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.600650 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.524879 Acc@1: 1.875000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.521030 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.454565 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.531133 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.483161 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.645643 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.536594 Acc@1: 5.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.543685 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.472300 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.546054 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.522214 Acc@1: 0.781250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.523488 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.476532 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.568550 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.478919 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.587435 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.504306 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.546488 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.462757 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.518067 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.514202 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.548779 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.470511 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.526131 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.513434 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.562392 Acc@1: 10.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.523615 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.556529 Acc@1: 10.625000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.487104 Acc@1: 5.937500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.534736 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.492905 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.531201 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.473273 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.514366 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.453786 Acc@1: 1.406250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m epsilon of client 4 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 3] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.748935 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.726430 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.710843 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.674869 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.702458 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.682744 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.698351 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.655407 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.682440 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.648233 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.687891 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.648773 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.682190 Acc@1: 0.000000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 78 \tLoss: 0.560690 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.519950 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 79 \tLoss: 0.491916 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.538508 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 80 \tLoss: 0.494905 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.658481 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 81 \tLoss: 0.579861 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.501770 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 82 \tLoss: 0.494926 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.564201 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 83 \tLoss: 0.526082 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.505369 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.491902 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.510528 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.492085 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.514540 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.515969 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.508501 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.495281 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.518959 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.516506 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.581847 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.532023 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.528564 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.502919 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.517656 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.491671 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.537951 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.567792 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.537069 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.492752 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.516046 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.503121 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.506560 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.530575 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.534426 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.507518 Acc@1: 7.031250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.534285 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.511381 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.488893 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.482231 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.497830 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.483593 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.515484 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.479419 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.480769 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.506652 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.485308 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.473131 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.465621 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.481756 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.571323 Acc@1: 1.250000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.536713 Acc@1: 3.593750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.483699 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.481550 Acc@1: 2.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.509688 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.475726 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.726035 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.726795 Acc@1: 2.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.530240 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.498063 Acc@1: 7.812500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.505176 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.466944 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.483670 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.455353 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.477135 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.490584 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.543754 Acc@1: 8.750000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.501736 Acc@1: 6.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.580004 Acc@1: 2.500000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.509385 Acc@1: 3.437500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.489099 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.466487 Acc@1: 2.187500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.464175 Acc@1: 0.000000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.454537 Acc@1: 2.968750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m epsilon of client 3 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m this is the config of the client\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 0] fit, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m -------------------------------- \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.853212 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 0 \tLoss: 0.825189 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.795602 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 1 \tLoss: 0.792053 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.787320 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 2 \tLoss: 0.783019 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.762378 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 3 \tLoss: 0.763451 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.759641 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 4 \tLoss: 0.758445 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.760186 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 5 \tLoss: 0.757096 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.764031 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 6 \tLoss: 0.757503 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.740132 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 7 \tLoss: 0.741569 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.746055 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 8 \tLoss: 0.743275 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.730614 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 9 \tLoss: 0.734592 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.730903 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 10 \tLoss: 0.733785 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.726065 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 11 \tLoss: 0.728912 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 12 \tLoss: 0.709264 Acc@1: 3.125000\n", - 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"\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 84 \tLoss: 0.717919 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.604019 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 85 \tLoss: 0.614454 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.594488 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 86 \tLoss: 0.588409 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.737240 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 87 \tLoss: 0.705910 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.599464 Acc@1: 3.125000\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 88 \tLoss: 0.623978 Acc@1: 1.562500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.624472 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 89 \tLoss: 0.613152 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.662298 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 90 \tLoss: 0.681546 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.602076 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 91 \tLoss: 0.605601 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.630324 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 92 \tLoss: 0.617871 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.609156 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 93 \tLoss: 0.593435 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.583119 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 94 \tLoss: 0.601612 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.635506 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 95 \tLoss: 0.621311 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.642461 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 96 \tLoss: 0.672021 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.662989 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 97 \tLoss: 0.646635 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.641867 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 98 \tLoss: 0.636001 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.647143 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 99 \tLoss: 0.646547 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.611036 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 100 \tLoss: 0.649088 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.645780 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 101 \tLoss: 0.622728 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.659233 Acc@1: 19.687500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 102 \tLoss: 0.678869 Acc@1: 9.843750\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.664973 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 103 \tLoss: 0.663286 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.626274 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 104 \tLoss: 0.633198 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.634435 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 105 \tLoss: 0.623950 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.624179 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 106 \tLoss: 0.608204 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.618254 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 107 \tLoss: 0.613342 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.622820 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 108 \tLoss: 0.614746 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.611986 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 109 \tLoss: 0.602855 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.645812 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 110 \tLoss: 0.631173 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.609284 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 111 \tLoss: 0.666030 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.578857 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 112 \tLoss: 0.612461 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.607166 Acc@1: 10.312500\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "DEBUG flwr 2024-03-25 16:05:17,654 | server.py:236 | fit_round 3 received 5 results and 0 failures\n", - "03/25/2024 16:05:17:DEBUG:fit_round 3 received 5 results and 0 failures\n", - "INFO flwr 2024-03-25 16:05:17,687 | server.py:125 | fit progress: (3, 0.03539108002887053, {'accuracy': 0.296875}, 134.07989850617014)\n", - "03/25/2024 16:05:17:INFO:fit progress: (3, 0.03539108002887053, {'accuracy': 0.296875}, 134.07989850617014)\n", - "DEBUG flwr 2024-03-25 16:05:17,688 | server.py:173 | evaluate_round 3: strategy sampled 5 clients (out of 5)\n", - "03/25/2024 16:05:17:DEBUG:evaluate_round 3: strategy sampled 5 clients (out of 5)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 113 \tLoss: 0.624385 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.604027 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 114 \tLoss: 0.639621 Acc@1: 5.156250\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.675687 Acc@1: 10.312500\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \tTrain Epoch: 115 \tLoss: 0.645615 Acc@1: 5.156250\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n", - "/////////////////////////////////////////////////////////////////////\n", - "cuda:0\n", - "cuda:0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/opacus/privacy_engine.py:142: UserWarning: Secure RNG turned off. This is perfectly fine for experimentation as it allows for much faster training performance, but remember to turn it on and retrain one last time before production with ``secure_mode`` turned on.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /home/local/USHERBROOKE/saho6810/.local/lib/python3.8/site-packages/flwr/simulation/ray_transport/ray_actor.py:72: DeprecationWarning: Ensure your client is of type `flwr.client.Client`. Please convert it using the `.to_client()` method before returning it in the `client_fn` you pass to `start_simulation`. We have applied this conversion on your behalf. Not returning a `Client` might trigger an error in future versions of Flower.\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m client = check_clientfn_returns_client(client_fn(cid))\n", - "DEBUG flwr 2024-03-25 16:05:17,813 | server.py:187 | evaluate_round 3 received 5 results and 0 failures\n", - "03/25/2024 16:05:17:DEBUG:evaluate_round 3 received 5 results and 0 failures\n", - "INFO flwr 2024-03-25 16:05:17,814 | server.py:153 | FL finished in 134.2073838331271\n", - "03/25/2024 16:05:17:INFO:FL finished in 134.2073838331271\n", - "INFO flwr 2024-03-25 16:05:17,815 | app.py:226 | app_fit: losses_distributed [(1, 0.031461407331859356), (2, 0.027506708689764438), (3, 0.030775873421453957)]\n", - "03/25/2024 16:05:17:INFO:app_fit: losses_distributed [(1, 0.031461407331859356), (2, 0.027506708689764438), (3, 0.030775873421453957)]\n", - "INFO flwr 2024-03-25 16:05:17,816 | app.py:227 | app_fit: metrics_distributed_fit {}\n", - "03/25/2024 16:05:17:INFO:app_fit: metrics_distributed_fit {}\n", - "INFO flwr 2024-03-25 16:05:17,817 | app.py:228 | app_fit: metrics_distributed {}\n", - "03/25/2024 16:05:17:INFO:app_fit: metrics_distributed {}\n", - "INFO flwr 2024-03-25 16:05:17,819 | app.py:229 | app_fit: losses_centralized [(0, 0.03451521081082961), (1, 0.037020489281299064), (2, 0.03206352159088733), (3, 0.03539108002887053)]\n", - "03/25/2024 16:05:17:INFO:app_fit: losses_centralized [(0, 0.03451521081082961), (1, 0.037020489281299064), (2, 0.03206352159088733), (3, 0.03539108002887053)]\n", - "INFO flwr 2024-03-25 16:05:17,820 | app.py:230 | app_fit: metrics_centralized {'accuracy': [(0, 0.4166666666666667), (1, 0.078125), (2, 0.17447916666666666), (3, 0.296875)]}\n", - "03/25/2024 16:05:17:INFO:app_fit: metrics_centralized {'accuracy': [(0, 0.4166666666666667), (1, 0.078125), (2, 0.17447916666666666), (3, 0.296875)]}\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m epsilon of client 0 : eps = 0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 2] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m ////////////////////////////////////////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m i m here\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m the model is runing on CUDA\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m [Client 4] evaluate, config: {}\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m /////////////////////////////////////////////////////////////////////\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m cuda:0\n", - "\u001b[2m\u001b[36m(DefaultActor pid=1296889)\u001b[0m \n" + "ename": "KeyError", + "evalue": "'train_portion'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[12], line 29\u001b[0m\n\u001b[1;32m 27\u001b[0m \u001b[38;5;66;03m# Create Nodes\u001b[39;00m\n\u001b[1;32m 28\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (config[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtrain_test\u001b[39m\u001b[38;5;124m'\u001b[39m]):\n\u001b[0;32m---> 29\u001b[0m n_train \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mint\u001b[39m(config[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mn_clients\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m*\u001b[39m\u001b[43mconfig\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtrain_portion\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m)\n\u001b[1;32m 31\u001b[0m \u001b[38;5;66;03m# Create the Train nodes\u001b[39;00m\n\u001b[1;32m 32\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m \u001b[38;5;241m+\u001b[39m n_train):\n", + "\u001b[0;31mKeyError\u001b[0m: 'train_portion'" ] } ], @@ -14536,6 +598,13 @@ " # Run the Traning of the model\n", " history = ppl_1.server.run()\n", " \n", + " # Print the results of the config \n", + " print('\\n\\n--------------------------------------------------- \\n\\n')\n", + " print(config)\n", + " print(server_rounds)\n", + " print(server.auc[len(server.auc)-1])\n", + " print('\\n\\n --------------------------------------------------- \\n\\n')\n", + " \n", " # store the results \n", " benchmarks_results.append({\n", " 'n_rounds' : server_rounds,\n", @@ -14546,14 +615,14 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[{'n_rounds': 2, 'config': {'dp_activate': False, 'n_clients': 10, 'train_test': True, 'train_portion': 0.5, 'aggreg_algo': 'FedYogi', 'Tl': False}, 'results': 0.6166310541310541}, {'n_rounds': 3, 'config': {'dp_activate': False, 'n_clients': 10, 'train_test': True, 'train_portion': 0.5, 'aggreg_algo': 'FedYogi', 'Tl': False}, 'results': 0.6222071256038648}, {'n_rounds': 2, 'config': {'dp_activate': False, 'n_clients': 10, 'train_test': True, 'train_portion': 0.5, 'aggreg_algo': 'FedAvg', 'Tl': False}, 'results': 0.6766922094508301}, {'n_rounds': 3, 'config': {'dp_activate': False, 'n_clients': 10, 'train_test': True, 'train_portion': 0.5, 'aggreg_algo': 'FedAvg', 'Tl': False}, 'results': 0.6458333333333333}]\n" + "[{'n_rounds': 2, 'config': {'dp_activate': True, 'DELTA': 1e-05, 'EPSILON': 5.0, 'n_clients': 10, 'train_test': True, 'train_portion': 0.5, 'aggreg_algo': 'FedAvg', 'Tl': True}, 'results': 0.6242610837438424}, {'n_rounds': 3, 'config': {'dp_activate': True, 'DELTA': 1e-05, 'EPSILON': 5.0, 'n_clients': 10, 'train_test': True, 'train_portion': 0.5, 'aggreg_algo': 'FedAvg', 'Tl': True}, 'results': 0.5223280423280423}, {'n_rounds': 2, 'config': {'dp_activate': False, 'n_clients': 10, 'train_test': True, 'train_portion': 0.5, 'aggreg_algo': 'FedAvg', 'Tl': True}, 'results': 0.5546875}, {'n_rounds': 3, 'config': {'dp_activate': False, 'n_clients': 10, 'train_test': True, 'train_portion': 0.5, 'aggreg_algo': 'FedAvg', 'Tl': True}, 'results': 0.5477242664742665}, {'n_rounds': 2, 'config': {'n_clients': 5, 'train_test': True, 'train_portion': 0.5, 'aggreg_algo': 'FedAvg', 'dp_activate': False, 'Tl': True}, 'results': 0.5772771672771673}, {'n_rounds': 3, 'config': {'n_clients': 5, 'train_test': True, 'train_portion': 0.5, 'aggreg_algo': 'FedAvg', 'dp_activate': False, 'Tl': True}, 'results': 0.4968090062111801}]\n" ] } ], @@ -14563,7 +632,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -14583,7 +652,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -14622,29 +691,32 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": null, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - " Catgory not found in the benchmarking results\n" - ] + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "plot_benchmarks_results(benchmarks_results=benchmarks_results , categ=\"diff_privac\" )" + "plot_benchmarks_results(benchmarks_results=benchmarks_results , categ=\"diff_privacy\" )" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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"text/plain": [ "
" ] @@ -14653,6 +725,15 @@ "output_type": "display_data" } ], + "source": [ + "plot_benchmarks_results(benchmarks_results=benchmarks_results , categ=\"n_clients\" )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "\n" ] diff --git a/notebooks/banchmarking/benchmarks_results.txt b/notebooks/banchmarking/benchmarks_results.txt new file mode 100644 index 0000000..a649440 --- /dev/null +++ b/notebooks/banchmarking/benchmarks_results.txt @@ -0,0 +1,121 @@ + + +--------------------------------------------------- + +{'train_test': True, 'train_portion': 0.5, 'n_clients': 10, 'dp_activate': False, 'aggreg_algo': 'FedAvg', 'Tl': True} +5 +0.5281929347826086 + + +--------------------------------------------------- + + + +--------------------------------------------------- + +{'train_test': True, 'train_portion': 0.5, 'n_clients': 10, 'dp_activate': False, 'aggreg_algo': 'FedAvg', 'Tl': True} +10 +0.48484848484848486 + + +--------------------------------------------------- + + + +--------------------------------------------------- + +{'n_clients': 5, 'train_test': True, 'train_portion': 0.5, 'aggreg_algo': 'FedAvg', 'dp_activate': False, 'Tl': True} +30 +[0.5158946991705612, 0.5158946991705612, 0.5530631341838239, 0.5268416066691929, 0.6156235206572538, 0.6156235206572538, 0.6177234322399239, 0.6352142747307664, 0.6391456881449386, 0.6351714847704353, 0.6375036520201439, 0.6674666467132734, 0.6514577241729738, 0.6395176404471757, 0.672431760964102, 0.6690387086676443, 0.674495463545046, 0.6781246013570924, 0.6714032001529324, 0.6523641848620431, 0.6693530007628316, 0.6727768265265589, 0.6679256597499262, 0.6407562048384495, 0.6717482657153894, 0.6732347019844342, 0.6730452362777272, 0.6727768265265589, 0.631827633409878, 0.6099475445427469, 0.6270657286479732] + + +--------------------------------------------------- + + + +--------------------------------------------------- + +{'n_clients': 10, 'train_test': True, 'train_portion': 0.5, 'aggreg_algo': 'FedAvg', 'dp_activate': False, 'Tl': True} +30 +[0.5733173076923077, 0.5733173076923077, 0.5826923076923077, 0.5826923076923077, 0.5983173076923077, 0.5789886039886041, 0.5789886039886041, 0.5789886039886041, 0.5741564280626781, 0.5741564280626781, 0.5750823539886041, 0.5750823539886041, 0.5750823539886041, 0.5750823539886041, 0.5741564280626781, 0.5728543447293448, 0.5728543447293448, 0.5728543447293448, 0.5728543447293448, 0.5728543447293448, 0.5728543447293448, 0.5728543447293448, 0.5878283030626781, 0.600801282051282, 0.5878283030626781, 0.5878283030626781, 0.5878283030626781, 0.6048076923076924, 0.5841245993589743, 0.5841245993589743, 0.5878283030626781] + + +--------------------------------------------------- + + + +--------------------------------------------------- + +{'n_clients': 5, 'train_test': True, 'train_portion': 0.5, 'aggreg_algo': 'FedAvg', 'dp_activate': False, 'Tl': True} +1 +[0.520206508467378, 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