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trainlog.txt
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trainlog.txt
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/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/distributed/parallel.py:120: UserWarning: Currently not a parallel execution environment, `paddle.distributed.init_parallel_env` will not do anything.
"Currently not a parallel execution environment, `paddle.distributed.init_parallel_env` will not do anything."
Checkpoint path: checkpoints/pan_r18_ctw_train.
W1027 11:50:53.665647 13747 device_context.cc:404] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.1, Runtime API Version: 10.1
W1027 11:50:53.670557 13747 device_context.cc:422] device: 0, cuDNN Version: 7.6.
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for conv1.weight. conv1.weight receives a shape [64, 3, 3, 3], but the expected shape is [64, 3, 7, 7].
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for bn1._mean. bn1._mean is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for bn1._variance. bn1._variance is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer1.0.conv1.weight. layer1.0.conv1.weight receives a shape [64, 128, 3, 3], but the expected shape is [64, 64, 3, 3].
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer1.0.bn1._mean. layer1.0.bn1._mean is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer1.0.bn1._variance. layer1.0.bn1._variance is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer1.0.bn2._mean. layer1.0.bn2._mean is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer1.0.bn2._variance. layer1.0.bn2._variance is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer1.1.bn1._mean. layer1.1.bn1._mean is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer1.1.bn1._variance. layer1.1.bn1._variance is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer1.1.bn2._mean. layer1.1.bn2._mean is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer1.1.bn2._variance. layer1.1.bn2._variance is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer2.0.bn1._mean. layer2.0.bn1._mean is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer2.0.bn1._variance. layer2.0.bn1._variance is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer2.0.bn2._mean. layer2.0.bn2._mean is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer2.0.bn2._variance. layer2.0.bn2._variance is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer2.0.downsample.1._mean. layer2.0.downsample.1._mean is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer2.0.downsample.1._variance. layer2.0.downsample.1._variance is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer2.1.bn1._mean. layer2.1.bn1._mean is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer2.1.bn1._variance. layer2.1.bn1._variance is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer2.1.bn2._mean. layer2.1.bn2._mean is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer2.1.bn2._variance. layer2.1.bn2._variance is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer3.0.bn1._mean. layer3.0.bn1._mean is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer3.0.bn1._variance. layer3.0.bn1._variance is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer3.0.bn2._mean. layer3.0.bn2._mean is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer3.0.bn2._variance. layer3.0.bn2._variance is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer3.0.downsample.1._mean. layer3.0.downsample.1._mean is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer3.0.downsample.1._variance. layer3.0.downsample.1._variance is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer3.1.bn1._mean. layer3.1.bn1._mean is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer3.1.bn1._variance. layer3.1.bn1._variance is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer3.1.bn2._mean. layer3.1.bn2._mean is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer3.1.bn2._variance. layer3.1.bn2._variance is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer4.0.bn1._mean. layer4.0.bn1._mean is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer4.0.bn1._variance. layer4.0.bn1._variance is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer4.0.bn2._mean. layer4.0.bn2._mean is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer4.0.bn2._variance. layer4.0.bn2._variance is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer4.0.downsample.1._mean. layer4.0.downsample.1._mean is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer4.0.downsample.1._variance. layer4.0.downsample.1._variance is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer4.1.bn1._mean. layer4.1.bn1._mean is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer4.1.bn1._variance. layer4.1.bn1._variance is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer4.1.bn2._mean. layer4.1.bn2._mean is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for layer4.1.bn2._variance. layer4.1.bn2._variance is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for fc.weight. fc.weight is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py:1301: UserWarning: Skip loading for fc.bias. fc.bias is not found in the provided dict.
warnings.warn(("Skip loading for {}. ".format(key) + str(err)))
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/parallel.py:515: UserWarning: The program will return to single-card operation. Please check 1, whether you use spawn or fleetrun to start the program. 2, Whether it is a multi-card program. 3, Is the current environment multi-card.
warnings.warn("The program will return to single-card operation. "
Epoch: [1 | 600]
/home/aistudio/work/Paddle-PANet/dataset/pan/pan_ctw.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
x1 = np.int(gt[0])
/home/aistudio/work/Paddle-PANet/dataset/pan/pan_ctw.py:43: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
y1 = np.int(gt[1])
/home/aistudio/work/Paddle-PANet/dataset/pan/pan_ctw.py:45: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
bbox = [np.int(gt[i]) for i in range(4, 32)]
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/tensor/creation.py:125: DeprecationWarning: `np.object` is a deprecated alias for the builtin `object`. To silence this warning, use `object` by itself. Doing this will not modify any behavior and is safe.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
if data.dtype == np.object:
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/nn/layer/norm.py:641: UserWarning: When training, we now always track global mean and variance.
"When training, we now always track global mean and variance.")
/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle/fluid/dygraph/math_op_patch.py:239: UserWarning: The dtype of left and right variables are not the same, left dtype is paddle.float32, but right dtype is paddle.bool, the right dtype will convert to paddle.float32
format(lhs_dtype, rhs_dtype, lhs_dtype))
(1/62) LR: 0.001000 | Batch: 2.731s | Total: 0min | ETA: 3min | Loss: 0.625 | Loss(text/kernel): 0.480/0.145 | IoU(text/kernel): 0.280/0.322
(21/62) LR: 0.001000 | Batch: 1.747s | Total: 1min | ETA: 1min | Loss: 0.552 | Loss(text/kernel): 0.433/0.119 | IoU(text/kernel): 0.540/0.353
(41/62) LR: 0.000999 | Batch: 1.839s | Total: 1min | ETA: 1min | Loss: 0.506 | Loss(text/kernel): 0.397/0.109 | IoU(text/kernel): 0.582/0.409
(61/62) LR: 0.000999 | Batch: 1.802s | Total: 2min | ETA: 0min | Loss: 0.491 | Loss(text/kernel): 0.387/0.104 | IoU(text/kernel): 0.597/0.444
Epoch: [2 | 600]
(1/62) LR: 0.000998 | Batch: 2.990s | Total: 0min | ETA: 3min | Loss: 0.513 | Loss(text/kernel): 0.414/0.099 | IoU(text/kernel): 0.598/0.519
(21/62) LR: 0.000998 | Batch: 1.899s | Total: 1min | ETA: 1min | Loss: 0.414 | Loss(text/kernel): 0.330/0.085 | IoU(text/kernel): 0.666/0.561
(41/62) LR: 0.000998 | Batch: 1.856s | Total: 1min | ETA: 1min | Loss: 0.403 | Loss(text/kernel): 0.319/0.084 | IoU(text/kernel): 0.673/0.574
(61/62) LR: 0.000997 | Batch: 1.831s | Total: 2min | ETA: 0min | Loss: 0.398 | Loss(text/kernel): 0.316/0.083 | IoU(text/kernel): 0.675/0.582
Epoch: [3 | 600]
(1/62) LR: 0.000997 | Batch: 4.152s | Total: 0min | ETA: 4min | Loss: 0.447 | Loss(text/kernel): 0.360/0.087 | IoU(text/kernel): 0.655/0.579
(21/62) LR: 0.000997 | Batch: 1.989s | Total: 1min | ETA: 1min | Loss: 0.381 | Loss(text/kernel): 0.300/0.081 | IoU(text/kernel): 0.687/0.607
(41/62) LR: 0.000996 | Batch: 1.864s | Total: 1min | ETA: 1min | Loss: 0.364 | Loss(text/kernel): 0.286/0.078 | IoU(text/kernel): 0.704/0.619
(61/62) LR: 0.000996 | Batch: 1.818s | Total: 2min | ETA: 0min | Loss: 0.367 | Loss(text/kernel): 0.288/0.079 | IoU(text/kernel): 0.703/0.619
Epoch: [4 | 600]
(1/62) LR: 0.000995 | Batch: 2.577s | Total: 0min | ETA: 3min | Loss: 0.334 | Loss(text/kernel): 0.260/0.074 | IoU(text/kernel): 0.727/0.630
(21/62) LR: 0.000995 | Batch: 1.771s | Total: 1min | ETA: 1min | Loss: 0.354 | Loss(text/kernel): 0.278/0.077 | IoU(text/kernel): 0.708/0.622
(41/62) LR: 0.000995 | Batch: 1.793s | Total: 1min | ETA: 1min | Loss: 0.353 | Loss(text/kernel): 0.275/0.077 | IoU(text/kernel): 0.714/0.626
(61/62) LR: 0.000994 | Batch: 1.806s | Total: 2min | ETA: 0min | Loss: 0.346 | Loss(text/kernel): 0.270/0.076 | IoU(text/kernel): 0.718/0.631
Epoch: [5 | 600]
(1/62) LR: 0.000994 | Batch: 2.557s | Total: 0min | ETA: 3min | Loss: 0.317 | Loss(text/kernel): 0.245/0.072 | IoU(text/kernel): 0.733/0.638
(21/62) LR: 0.000994 | Batch: 1.829s | Total: 1min | ETA: 1min | Loss: 0.324 | Loss(text/kernel): 0.251/0.073 | IoU(text/kernel): 0.733/0.647
(41/62) LR: 0.000993 | Batch: 1.798s | Total: 1min | ETA: 1min | Loss: 0.320 | Loss(text/kernel): 0.247/0.073 | IoU(text/kernel): 0.737/0.647
(61/62) LR: 0.000993 | Batch: 1.783s | Total: 2min | ETA: 0min | Loss: 0.327 | Loss(text/kernel): 0.255/0.072 | IoU(text/kernel): 0.729/0.648
Epoch: [6 | 600]
(1/62) LR: 0.000992 | Batch: 2.358s | Total: 0min | ETA: 2min | Loss: 0.300 | Loss(text/kernel): 0.228/0.071 | IoU(text/kernel): 0.738/0.650
(21/62) LR: 0.000992 | Batch: 1.874s | Total: 1min | ETA: 1min | Loss: 0.332 | Loss(text/kernel): 0.257/0.075 | IoU(text/kernel): 0.724/0.644
(41/62) LR: 0.000992 | Batch: 1.830s | Total: 1min | ETA: 1min | Loss: 0.322 | Loss(text/kernel): 0.248/0.074 | IoU(text/kernel): 0.734/0.648
(61/62) LR: 0.000991 | Batch: 1.810s | Total: 2min | ETA: 0min | Loss: 0.319 | Loss(text/kernel): 0.246/0.073 | IoU(text/kernel): 0.739/0.653
Epoch: [7 | 600]
(1/62) LR: 0.000991 | Batch: 2.347s | Total: 0min | ETA: 2min | Loss: 0.307 | Loss(text/kernel): 0.247/0.060 | IoU(text/kernel): 0.753/0.678
(21/62) LR: 0.000991 | Batch: 1.885s | Total: 1min | ETA: 1min | Loss: 0.302 | Loss(text/kernel): 0.232/0.070 | IoU(text/kernel): 0.753/0.660
(41/62) LR: 0.000990 | Batch: 1.777s | Total: 1min | ETA: 1min | Loss: 0.302 | Loss(text/kernel): 0.233/0.069 | IoU(text/kernel): 0.749/0.660
(61/62) LR: 0.000990 | Batch: 1.771s | Total: 2min | ETA: 0min | Loss: 0.301 | Loss(text/kernel): 0.231/0.070 | IoU(text/kernel): 0.752/0.661
Epoch: [8 | 600]
(1/62) LR: 0.000989 | Batch: 3.173s | Total: 0min | ETA: 3min | Loss: 0.312 | Loss(text/kernel): 0.243/0.069 | IoU(text/kernel): 0.729/0.643
(21/62) LR: 0.000989 | Batch: 1.761s | Total: 1min | ETA: 1min | Loss: 0.274 | Loss(text/kernel): 0.207/0.067 | IoU(text/kernel): 0.771/0.675
(41/62) LR: 0.000989 | Batch: 1.815s | Total: 1min | ETA: 1min | Loss: 0.293 | Loss(text/kernel): 0.223/0.070 | IoU(text/kernel): 0.757/0.663
(61/62) LR: 0.000988 | Batch: 1.801s | Total: 2min | ETA: 0min | Loss: 0.292 | Loss(text/kernel): 0.223/0.069 | IoU(text/kernel): 0.758/0.665
Epoch: [9 | 600]
(1/62) LR: 0.000988 | Batch: 2.300s | Total: 0min | ETA: 2min | Loss: 0.399 | Loss(text/kernel): 0.285/0.115 | IoU(text/kernel): 0.741/0.624
(21/62) LR: 0.000988 | Batch: 1.961s | Total: 1min | ETA: 1min | Loss: 0.286 | Loss(text/kernel): 0.217/0.069 | IoU(text/kernel): 0.763/0.671
(41/62) LR: 0.000987 | Batch: 1.853s | Total: 1min | ETA: 1min | Loss: 0.288 | Loss(text/kernel): 0.218/0.070 | IoU(text/kernel): 0.763/0.671
(61/62) LR: 0.000987 | Batch: 1.810s | Total: 2min | ETA: 0min | Loss: 0.282 | Loss(text/kernel): 0.213/0.069 | IoU(text/kernel): 0.767/0.671
Epoch: [10 | 600]
(1/62) LR: 0.000986 | Batch: 2.941s | Total: 0min | ETA: 3min | Loss: 0.311 | Loss(text/kernel): 0.224/0.087 | IoU(text/kernel): 0.766/0.671
(21/62) LR: 0.000986 | Batch: 1.851s | Total: 1min | ETA: 1min | Loss: 0.283 | Loss(text/kernel): 0.215/0.069 | IoU(text/kernel): 0.766/0.676
(41/62) LR: 0.000986 | Batch: 1.823s | Total: 1min | ETA: 1min | Loss: 0.275 | Loss(text/kernel): 0.208/0.066 | IoU(text/kernel): 0.769/0.680
(61/62) LR: 0.000985 | Batch: 1.801s | Total: 2min | ETA: 0min | Loss: 0.276 | Loss(text/kernel): 0.210/0.067 | IoU(text/kernel): 0.769/0.677
Epoch: [11 | 600]
(1/62) LR: 0.000985 | Batch: 2.561s | Total: 0min | ETA: 3min | Loss: 0.296 | Loss(text/kernel): 0.227/0.069 | IoU(text/kernel): 0.759/0.656
(21/62) LR: 0.000985 | Batch: 1.870s | Total: 1min | ETA: 1min | Loss: 0.276 | Loss(text/kernel): 0.212/0.064 | IoU(text/kernel): 0.765/0.681
(41/62) LR: 0.000984 | Batch: 1.778s | Total: 1min | ETA: 1min | Loss: 0.271 | Loss(text/kernel): 0.206/0.065 | IoU(text/kernel): 0.772/0.678
(61/62) LR: 0.000984 | Batch: 1.794s | Total: 2min | ETA: 0min | Loss: 0.274 | Loss(text/kernel): 0.208/0.066 | IoU(text/kernel): 0.772/0.679
Epoch: [12 | 600]
(1/62) LR: 0.000983 | Batch: 3.321s | Total: 0min | ETA: 3min | Loss: 0.289 | Loss(text/kernel): 0.223/0.066 | IoU(text/kernel): 0.776/0.667
(21/62) LR: 0.000983 | Batch: 1.854s | Total: 1min | ETA: 1min | Loss: 0.272 | Loss(text/kernel): 0.207/0.065 | IoU(text/kernel): 0.769/0.680
(41/62) LR: 0.000983 | Batch: 1.808s | Total: 1min | ETA: 1min | Loss: 0.265 | Loss(text/kernel): 0.201/0.064 | IoU(text/kernel): 0.773/0.686
(61/62) LR: 0.000982 | Batch: 1.823s | Total: 2min | ETA: 0min | Loss: 0.266 | Loss(text/kernel): 0.201/0.065 | IoU(text/kernel): 0.775/0.686
Epoch: [13 | 600]
(1/62) LR: 0.000982 | Batch: 2.728s | Total: 0min | ETA: 3min | Loss: 0.247 | Loss(text/kernel): 0.180/0.067 | IoU(text/kernel): 0.794/0.684
(21/62) LR: 0.000981 | Batch: 1.922s | Total: 1min | ETA: 1min | Loss: 0.248 | Loss(text/kernel): 0.185/0.063 | IoU(text/kernel): 0.790/0.699
(41/62) LR: 0.000981 | Batch: 1.881s | Total: 1min | ETA: 1min | Loss: 0.264 | Loss(text/kernel): 0.199/0.065 | IoU(text/kernel): 0.777/0.691
(61/62) LR: 0.000981 | Batch: 1.834s | Total: 2min | ETA: 0min | Loss: 0.266 | Loss(text/kernel): 0.200/0.066 | IoU(text/kernel): 0.775/0.685
Epoch: [14 | 600]
(1/62) LR: 0.000980 | Batch: 2.586s | Total: 0min | ETA: 3min | Loss: 0.240 | Loss(text/kernel): 0.178/0.062 | IoU(text/kernel): 0.788/0.700
(21/62) LR: 0.000980 | Batch: 1.824s | Total: 1min | ETA: 1min | Loss: 0.256 | Loss(text/kernel): 0.191/0.065 | IoU(text/kernel): 0.786/0.693
(41/62) LR: 0.000980 | Batch: 1.833s | Total: 1min | ETA: 1min | Loss: 0.252 | Loss(text/kernel): 0.189/0.064 | IoU(text/kernel): 0.787/0.691
(61/62) LR: 0.000979 | Batch: 1.817s | Total: 2min | ETA: 0min | Loss: 0.251 | Loss(text/kernel): 0.188/0.064 | IoU(text/kernel): 0.788/0.691
Epoch: [15 | 600]
(1/62) LR: 0.000979 | Batch: 2.680s | Total: 0min | ETA: 3min | Loss: 0.207 | Loss(text/kernel): 0.150/0.058 | IoU(text/kernel): 0.814/0.707
(21/62) LR: 0.000978 | Batch: 1.938s | Total: 1min | ETA: 1min | Loss: 0.248 | Loss(text/kernel): 0.183/0.065 | IoU(text/kernel): 0.791/0.688
(41/62) LR: 0.000978 | Batch: 1.927s | Total: 1min | ETA: 1min | Loss: 0.256 | Loss(text/kernel): 0.191/0.064 | IoU(text/kernel): 0.785/0.688
(61/62) LR: 0.000978 | Batch: 1.896s | Total: 2min | ETA: 0min | Loss: 0.255 | Loss(text/kernel): 0.190/0.064 | IoU(text/kernel): 0.785/0.688
Epoch: [16 | 600]
(1/62) LR: 0.000977 | Batch: 1.956s | Total: 0min | ETA: 2min | Loss: 0.237 | Loss(text/kernel): 0.168/0.070 | IoU(text/kernel): 0.779/0.674
(21/62) LR: 0.000977 | Batch: 1.783s | Total: 1min | ETA: 1min | Loss: 0.250 | Loss(text/kernel): 0.184/0.065 | IoU(text/kernel): 0.797/0.693
(41/62) LR: 0.000977 | Batch: 1.843s | Total: 1min | ETA: 1min | Loss: 0.247 | Loss(text/kernel): 0.183/0.064 | IoU(text/kernel): 0.793/0.694
(61/62) LR: 0.000976 | Batch: 1.805s | Total: 2min | ETA: 0min | Loss: 0.250 | Loss(text/kernel): 0.186/0.064 | IoU(text/kernel): 0.792/0.694
Epoch: [17 | 600]
(1/62) LR: 0.000976 | Batch: 2.400s | Total: 0min | ETA: 2min | Loss: 0.194 | Loss(text/kernel): 0.146/0.047 | IoU(text/kernel): 0.808/0.755
(21/62) LR: 0.000975 | Batch: 1.812s | Total: 1min | ETA: 1min | Loss: 0.255 | Loss(text/kernel): 0.196/0.059 | IoU(text/kernel): 0.775/0.700
(41/62) LR: 0.000975 | Batch: 1.769s | Total: 1min | ETA: 1min | Loss: 0.250 | Loss(text/kernel): 0.189/0.061 | IoU(text/kernel): 0.785/0.698
(61/62) LR: 0.000975 | Batch: 1.792s | Total: 2min | ETA: 0min | Loss: 0.249 | Loss(text/kernel): 0.188/0.061 | IoU(text/kernel): 0.787/0.696
Epoch: [18 | 600]
(1/62) LR: 0.000974 | Batch: 2.489s | Total: 0min | ETA: 3min | Loss: 0.292 | Loss(text/kernel): 0.237/0.055 | IoU(text/kernel): 0.747/0.713
(21/62) LR: 0.000974 | Batch: 1.816s | Total: 1min | ETA: 1min | Loss: 0.242 | Loss(text/kernel): 0.179/0.063 | IoU(text/kernel): 0.792/0.694
(41/62) LR: 0.000973 | Batch: 1.795s | Total: 1min | ETA: 1min | Loss: 0.243 | Loss(text/kernel): 0.181/0.062 | IoU(text/kernel): 0.790/0.693
(61/62) LR: 0.000973 | Batch: 1.777s | Total: 2min | ETA: 0min | Loss: 0.244 | Loss(text/kernel): 0.181/0.063 | IoU(text/kernel): 0.790/0.692
Epoch: [19 | 600]
(1/62) LR: 0.000973 | Batch: 2.884s | Total: 0min | ETA: 3min | Loss: 0.281 | Loss(text/kernel): 0.221/0.061 | IoU(text/kernel): 0.758/0.720
(21/62) LR: 0.000972 | Batch: 1.910s | Total: 1min | ETA: 1min | Loss: 0.233 | Loss(text/kernel): 0.173/0.060 | IoU(text/kernel): 0.799/0.705
(41/62) LR: 0.000972 | Batch: 1.810s | Total: 1min | ETA: 1min | Loss: 0.236 | Loss(text/kernel): 0.174/0.062 | IoU(text/kernel): 0.800/0.700
(61/62) LR: 0.000972 | Batch: 1.802s | Total: 2min | ETA: 0min | Loss: 0.239 | Loss(text/kernel): 0.177/0.062 | IoU(text/kernel): 0.798/0.700
Epoch: [20 | 600]
(1/62) LR: 0.000971 | Batch: 2.712s | Total: 0min | ETA: 3min | Loss: 0.166 | Loss(text/kernel): 0.123/0.043 | IoU(text/kernel): 0.843/0.777
(21/62) LR: 0.000971 | Batch: 1.864s | Total: 1min | ETA: 1min | Loss: 0.236 | Loss(text/kernel): 0.174/0.062 | IoU(text/kernel): 0.803/0.706
(41/62) LR: 0.000970 | Batch: 1.852s | Total: 1min | ETA: 1min | Loss: 0.230 | Loss(text/kernel): 0.170/0.061 | IoU(text/kernel): 0.804/0.706
(61/62) LR: 0.000970 | Batch: 1.826s | Total: 2min | ETA: 0min | Loss: 0.234 | Loss(text/kernel): 0.174/0.061 | IoU(text/kernel): 0.800/0.704
Epoch: [21 | 600]
(1/62) LR: 0.000970 | Batch: 2.172s | Total: 0min | ETA: 2min | Loss: 0.287 | Loss(text/kernel): 0.223/0.065 | IoU(text/kernel): 0.760/0.693
(21/62) LR: 0.000969 | Batch: 1.869s | Total: 1min | ETA: 1min | Loss: 0.249 | Loss(text/kernel): 0.184/0.065 | IoU(text/kernel): 0.793/0.691
(41/62) LR: 0.000969 | Batch: 1.798s | Total: 1min | ETA: 1min | Loss: 0.241 | Loss(text/kernel): 0.178/0.063 | IoU(text/kernel): 0.800/0.700
(61/62) LR: 0.000968 | Batch: 1.832s | Total: 2min | ETA: 0min | Loss: 0.243 | Loss(text/kernel): 0.180/0.063 | IoU(text/kernel): 0.799/0.698
Epoch: [22 | 600]
(1/62) LR: 0.000968 | Batch: 3.264s | Total: 0min | ETA: 3min | Loss: 0.205 | Loss(text/kernel): 0.148/0.057 | IoU(text/kernel): 0.790/0.687
(21/62) LR: 0.000968 | Batch: 1.875s | Total: 1min | ETA: 1min | Loss: 0.226 | Loss(text/kernel): 0.166/0.060 | IoU(text/kernel): 0.804/0.703
(41/62) LR: 0.000967 | Batch: 1.859s | Total: 1min | ETA: 1min | Loss: 0.228 | Loss(text/kernel): 0.167/0.061 | IoU(text/kernel): 0.805/0.703
(61/62) LR: 0.000967 | Batch: 1.847s | Total: 2min | ETA: 0min | Loss: 0.233 | Loss(text/kernel): 0.172/0.061 | IoU(text/kernel): 0.802/0.702
Epoch: [23 | 600]
(1/62) LR: 0.000967 | Batch: 2.551s | Total: 0min | ETA: 3min | Loss: 0.239 | Loss(text/kernel): 0.181/0.058 | IoU(text/kernel): 0.788/0.703
(21/62) LR: 0.000966 | Batch: 1.770s | Total: 1min | ETA: 1min | Loss: 0.221 | Loss(text/kernel): 0.161/0.061 | IoU(text/kernel): 0.813/0.710
(41/62) LR: 0.000966 | Batch: 1.818s | Total: 1min | ETA: 1min | Loss: 0.221 | Loss(text/kernel): 0.161/0.060 | IoU(text/kernel): 0.813/0.709
(61/62) LR: 0.000965 | Batch: 1.825s | Total: 2min | ETA: 0min | Loss: 0.221 | Loss(text/kernel): 0.160/0.060 | IoU(text/kernel): 0.810/0.708
Epoch: [24 | 600]
(1/62) LR: 0.000965 | Batch: 2.687s | Total: 0min | ETA: 3min | Loss: 0.215 | Loss(text/kernel): 0.151/0.064 | IoU(text/kernel): 0.809/0.684
(21/62) LR: 0.000965 | Batch: 1.896s | Total: 1min | ETA: 1min | Loss: 0.227 | Loss(text/kernel): 0.165/0.063 | IoU(text/kernel): 0.808/0.700
(41/62) LR: 0.000964 | Batch: 1.846s | Total: 1min | ETA: 1min | Loss: 0.221 | Loss(text/kernel): 0.160/0.061 | IoU(text/kernel): 0.812/0.706
(61/62) LR: 0.000964 | Batch: 1.853s | Total: 2min | ETA: 0min | Loss: 0.220 | Loss(text/kernel): 0.160/0.060 | IoU(text/kernel): 0.811/0.705
Epoch: [25 | 600]
(1/62) LR: 0.000964 | Batch: 3.066s | Total: 0min | ETA: 3min | Loss: 0.184 | Loss(text/kernel): 0.123/0.060 | IoU(text/kernel): 0.839/0.712
(21/62) LR: 0.000963 | Batch: 1.812s | Total: 1min | ETA: 1min | Loss: 0.218 | Loss(text/kernel): 0.159/0.059 | IoU(text/kernel): 0.813/0.711
(41/62) LR: 0.000963 | Batch: 1.826s | Total: 1min | ETA: 1min | Loss: 0.216 | Loss(text/kernel): 0.156/0.059 | IoU(text/kernel): 0.815/0.709
(61/62) LR: 0.000962 | Batch: 1.840s | Total: 2min | ETA: 0min | Loss: 0.221 | Loss(text/kernel): 0.160/0.061 | IoU(text/kernel): 0.811/0.706
Epoch: [26 | 600]
(1/62) LR: 0.000962 | Batch: 2.765s | Total: 0min | ETA: 3min | Loss: 0.222 | Loss(text/kernel): 0.161/0.061 | IoU(text/kernel): 0.812/0.685
(21/62) LR: 0.000962 | Batch: 1.801s | Total: 1min | ETA: 1min | Loss: 0.234 | Loss(text/kernel): 0.170/0.064 | IoU(text/kernel): 0.813/0.696
(41/62) LR: 0.000961 | Batch: 1.871s | Total: 1min | ETA: 1min | Loss: 0.235 | Loss(text/kernel): 0.173/0.062 | IoU(text/kernel): 0.807/0.700
(61/62) LR: 0.000961 | Batch: 1.869s | Total: 2min | ETA: 0min | Loss: 0.233 | Loss(text/kernel): 0.171/0.062 | IoU(text/kernel): 0.807/0.701
Epoch: [27 | 600]
(1/62) LR: 0.000961 | Batch: 3.935s | Total: 0min | ETA: 4min | Loss: 0.179 | Loss(text/kernel): 0.126/0.053 | IoU(text/kernel): 0.847/0.727
(21/62) LR: 0.000960 | Batch: 1.946s | Total: 1min | ETA: 1min | Loss: 0.215 | Loss(text/kernel): 0.157/0.059 | IoU(text/kernel): 0.809/0.707
(41/62) LR: 0.000960 | Batch: 1.870s | Total: 1min | ETA: 1min | Loss: 0.217 | Loss(text/kernel): 0.159/0.058 | IoU(text/kernel): 0.808/0.712
(61/62) LR: 0.000959 | Batch: 1.848s | Total: 2min | ETA: 0min | Loss: 0.215 | Loss(text/kernel): 0.157/0.058 | IoU(text/kernel): 0.809/0.712
Epoch: [28 | 600]
(1/62) LR: 0.000959 | Batch: 2.721s | Total: 0min | ETA: 3min | Loss: 0.186 | Loss(text/kernel): 0.123/0.063 | IoU(text/kernel): 0.841/0.711
(21/62) LR: 0.000959 | Batch: 1.918s | Total: 1min | ETA: 1min | Loss: 0.222 | Loss(text/kernel): 0.160/0.061 | IoU(text/kernel): 0.811/0.705
(41/62) LR: 0.000958 | Batch: 1.859s | Total: 1min | ETA: 1min | Loss: 0.215 | Loss(text/kernel): 0.155/0.060 | IoU(text/kernel): 0.812/0.709
(61/62) LR: 0.000958 | Batch: 1.842s | Total: 2min | ETA: 0min | Loss: 0.213 | Loss(text/kernel): 0.153/0.060 | IoU(text/kernel): 0.815/0.709
Epoch: [29 | 600]
(1/62) LR: 0.000958 | Batch: 3.419s | Total: 0min | ETA: 4min | Loss: 0.210 | Loss(text/kernel): 0.151/0.059 | IoU(text/kernel): 0.834/0.710
(21/62) LR: 0.000957 | Batch: 1.903s | Total: 1min | ETA: 1min | Loss: 0.243 | Loss(text/kernel): 0.179/0.064 | IoU(text/kernel): 0.804/0.697
(41/62) LR: 0.000957 | Batch: 1.838s | Total: 1min | ETA: 1min | Loss: 0.224 | Loss(text/kernel): 0.164/0.060 | IoU(text/kernel): 0.811/0.707
(61/62) LR: 0.000956 | Batch: 1.867s | Total: 2min | ETA: 0min | Loss: 0.222 | Loss(text/kernel): 0.161/0.060 | IoU(text/kernel): 0.812/0.708
Epoch: [30 | 600]
(1/62) LR: 0.000956 | Batch: 2.645s | Total: 0min | ETA: 3min | Loss: 0.157 | Loss(text/kernel): 0.098/0.060 | IoU(text/kernel): 0.867/0.716
(21/62) LR: 0.000956 | Batch: 1.890s | Total: 1min | ETA: 1min | Loss: 0.201 | Loss(text/kernel): 0.145/0.055 | IoU(text/kernel): 0.822/0.723
(41/62) LR: 0.000955 | Batch: 1.872s | Total: 1min | ETA: 1min | Loss: 0.215 | Loss(text/kernel): 0.157/0.058 | IoU(text/kernel): 0.818/0.715
(61/62) LR: 0.000955 | Batch: 1.867s | Total: 2min | ETA: 0min | Loss: 0.218 | Loss(text/kernel): 0.159/0.059 | IoU(text/kernel): 0.814/0.711
Epoch: [31 | 600]
(1/62) LR: 0.000955 | Batch: 2.234s | Total: 0min | ETA: 2min | Loss: 0.220 | Loss(text/kernel): 0.164/0.057 | IoU(text/kernel): 0.805/0.717
(21/62) LR: 0.000954 | Batch: 2.012s | Total: 1min | ETA: 1min | Loss: 0.199 | Loss(text/kernel): 0.142/0.057 | IoU(text/kernel): 0.826/0.720
(41/62) LR: 0.000954 | Batch: 1.903s | Total: 1min | ETA: 1min | Loss: 0.201 | Loss(text/kernel): 0.144/0.057 | IoU(text/kernel): 0.826/0.717
(61/62) LR: 0.000953 | Batch: 1.846s | Total: 2min | ETA: 0min | Loss: 0.204 | Loss(text/kernel): 0.146/0.058 | IoU(text/kernel): 0.824/0.714
Epoch: [32 | 600]
(1/62) LR: 0.000953 | Batch: 2.470s | Total: 0min | ETA: 3min | Loss: 0.205 | Loss(text/kernel): 0.157/0.048 | IoU(text/kernel): 0.822/0.752
(21/62) LR: 0.000953 | Batch: 1.945s | Total: 1min | ETA: 1min | Loss: 0.212 | Loss(text/kernel): 0.154/0.058 | IoU(text/kernel): 0.817/0.722
(41/62) LR: 0.000952 | Batch: 1.902s | Total: 1min | ETA: 1min | Loss: 0.210 | Loss(text/kernel): 0.152/0.059 | IoU(text/kernel): 0.817/0.717
(61/62) LR: 0.000952 | Batch: 1.867s | Total: 2min | ETA: 0min | Loss: 0.215 | Loss(text/kernel): 0.156/0.059 | IoU(text/kernel): 0.815/0.714
Epoch: [33 | 600]
(1/62) LR: 0.000952 | Batch: 3.052s | Total: 0min | ETA: 3min | Loss: 0.184 | Loss(text/kernel): 0.126/0.058 | IoU(text/kernel): 0.841/0.724
(21/62) LR: 0.000951 | Batch: 2.037s | Total: 1min | ETA: 1min | Loss: 0.209 | Loss(text/kernel): 0.150/0.058 | IoU(text/kernel): 0.821/0.718
(41/62) LR: 0.000951 | Batch: 1.941s | Total: 1min | ETA: 1min | Loss: 0.207 | Loss(text/kernel): 0.148/0.058 | IoU(text/kernel): 0.821/0.714
(61/62) LR: 0.000950 | Batch: 1.854s | Total: 2min | ETA: 0min | Loss: 0.206 | Loss(text/kernel): 0.148/0.058 | IoU(text/kernel): 0.822/0.717
Epoch: [34 | 600]
(1/62) LR: 0.000950 | Batch: 3.429s | Total: 0min | ETA: 4min | Loss: 0.261 | Loss(text/kernel): 0.189/0.072 | IoU(text/kernel): 0.767/0.671
(21/62) LR: 0.000950 | Batch: 1.880s | Total: 1min | ETA: 1min | Loss: 0.215 | Loss(text/kernel): 0.155/0.060 | IoU(text/kernel): 0.817/0.706
(41/62) LR: 0.000949 | Batch: 1.929s | Total: 1min | ETA: 1min | Loss: 0.217 | Loss(text/kernel): 0.156/0.061 | IoU(text/kernel): 0.814/0.707
(61/62) LR: 0.000949 | Batch: 1.855s | Total: 2min | ETA: 0min | Loss: 0.208 | Loss(text/kernel): 0.149/0.059 | IoU(text/kernel): 0.817/0.713
Epoch: [35 | 600]
(1/62) LR: 0.000949 | Batch: 3.402s | Total: 0min | ETA: 4min | Loss: 0.200 | Loss(text/kernel): 0.145/0.055 | IoU(text/kernel): 0.803/0.720
(21/62) LR: 0.000948 | Batch: 1.855s | Total: 1min | ETA: 1min | Loss: 0.196 | Loss(text/kernel): 0.139/0.057 | IoU(text/kernel): 0.827/0.721
(41/62) LR: 0.000948 | Batch: 1.823s | Total: 1min | ETA: 1min | Loss: 0.195 | Loss(text/kernel): 0.138/0.057 | IoU(text/kernel): 0.829/0.720
(61/62) LR: 0.000947 | Batch: 1.825s | Total: 2min | ETA: 0min | Loss: 0.197 | Loss(text/kernel): 0.140/0.057 | IoU(text/kernel): 0.826/0.721
Epoch: [36 | 600]
(1/62) LR: 0.000947 | Batch: 3.209s | Total: 0min | ETA: 3min | Loss: 0.139 | Loss(text/kernel): 0.092/0.047 | IoU(text/kernel): 0.873/0.759
(21/62) LR: 0.000947 | Batch: 1.906s | Total: 1min | ETA: 1min | Loss: 0.199 | Loss(text/kernel): 0.140/0.060 | IoU(text/kernel): 0.826/0.713
(41/62) LR: 0.000946 | Batch: 1.825s | Total: 1min | ETA: 1min | Loss: 0.192 | Loss(text/kernel): 0.135/0.057 | IoU(text/kernel): 0.830/0.719
(61/62) LR: 0.000946 | Batch: 1.827s | Total: 2min | ETA: 0min | Loss: 0.194 | Loss(text/kernel): 0.137/0.057 | IoU(text/kernel): 0.830/0.721
Epoch: [37 | 600]
(1/62) LR: 0.000946 | Batch: 3.004s | Total: 0min | ETA: 3min | Loss: 0.214 | Loss(text/kernel): 0.153/0.062 | IoU(text/kernel): 0.801/0.693
(21/62) LR: 0.000945 | Batch: 1.917s | Total: 1min | ETA: 1min | Loss: 0.203 | Loss(text/kernel): 0.146/0.057 | IoU(text/kernel): 0.822/0.718
(41/62) LR: 0.000945 | Batch: 1.781s | Total: 1min | ETA: 1min | Loss: 0.202 | Loss(text/kernel): 0.144/0.057 | IoU(text/kernel): 0.827/0.719
(61/62) LR: 0.000944 | Batch: 1.832s | Total: 2min | ETA: 0min | Loss: 0.202 | Loss(text/kernel): 0.145/0.057 | IoU(text/kernel): 0.827/0.718
Epoch: [38 | 600]
(1/62) LR: 0.000944 | Batch: 2.914s | Total: 0min | ETA: 3min | Loss: 0.178 | Loss(text/kernel): 0.129/0.049 | IoU(text/kernel): 0.852/0.756
(21/62) LR: 0.000944 | Batch: 1.881s | Total: 1min | ETA: 1min | Loss: 0.204 | Loss(text/kernel): 0.148/0.056 | IoU(text/kernel): 0.830/0.722
(41/62) LR: 0.000943 | Batch: 1.850s | Total: 1min | ETA: 1min | Loss: 0.205 | Loss(text/kernel): 0.147/0.058 | IoU(text/kernel): 0.827/0.721
(61/62) LR: 0.000943 | Batch: 1.833s | Total: 2min | ETA: 0min | Loss: 0.201 | Loss(text/kernel): 0.144/0.058 | IoU(text/kernel): 0.829/0.719
Epoch: [39 | 600]
(1/62) LR: 0.000943 | Batch: 2.812s | Total: 0min | ETA: 3min | Loss: 0.203 | Loss(text/kernel): 0.148/0.055 | IoU(text/kernel): 0.831/0.725
(21/62) LR: 0.000942 | Batch: 1.844s | Total: 1min | ETA: 1min | Loss: 0.210 | Loss(text/kernel): 0.151/0.058 | IoU(text/kernel): 0.821/0.723
(41/62) LR: 0.000942 | Batch: 1.865s | Total: 1min | ETA: 1min | Loss: 0.209 | Loss(text/kernel): 0.150/0.058 | IoU(text/kernel): 0.823/0.718
(61/62) LR: 0.000941 | Batch: 1.832s | Total: 2min | ETA: 0min | Loss: 0.208 | Loss(text/kernel): 0.150/0.058 | IoU(text/kernel): 0.822/0.718
Epoch: [40 | 600]
(1/62) LR: 0.000941 | Batch: 3.308s | Total: 0min | ETA: 3min | Loss: 0.211 | Loss(text/kernel): 0.162/0.049 | IoU(text/kernel): 0.832/0.733
(21/62) LR: 0.000941 | Batch: 1.807s | Total: 1min | ETA: 1min | Loss: 0.203 | Loss(text/kernel): 0.145/0.059 | IoU(text/kernel): 0.827/0.720
(41/62) LR: 0.000940 | Batch: 1.865s | Total: 1min | ETA: 1min | Loss: 0.198 | Loss(text/kernel): 0.141/0.057 | IoU(text/kernel): 0.827/0.722
(61/62) LR: 0.000940 | Batch: 1.832s | Total: 2min | ETA: 0min | Loss: 0.204 | Loss(text/kernel): 0.145/0.059 | IoU(text/kernel): 0.825/0.720
Epoch: [41 | 600]
(1/62) LR: 0.000940 | Batch: 1.977s | Total: 0min | ETA: 2min | Loss: 0.215 | Loss(text/kernel): 0.162/0.053 | IoU(text/kernel): 0.834/0.736
(21/62) LR: 0.000939 | Batch: 1.888s | Total: 1min | ETA: 1min | Loss: 0.201 | Loss(text/kernel): 0.144/0.056 | IoU(text/kernel): 0.829/0.722
(41/62) LR: 0.000939 | Batch: 1.908s | Total: 1min | ETA: 1min | Loss: 0.204 | Loss(text/kernel): 0.146/0.057 | IoU(text/kernel): 0.826/0.719
(61/62) LR: 0.000938 | Batch: 1.833s | Total: 2min | ETA: 0min | Loss: 0.199 | Loss(text/kernel): 0.142/0.057 | IoU(text/kernel): 0.829/0.720
Epoch: [42 | 600]
(1/62) LR: 0.000938 | Batch: 3.085s | Total: 0min | ETA: 3min | Loss: 0.252 | Loss(text/kernel): 0.190/0.062 | IoU(text/kernel): 0.789/0.712
(21/62) LR: 0.000938 | Batch: 1.885s | Total: 1min | ETA: 1min | Loss: 0.194 | Loss(text/kernel): 0.139/0.055 | IoU(text/kernel): 0.833/0.727
(41/62) LR: 0.000937 | Batch: 1.822s | Total: 1min | ETA: 1min | Loss: 0.194 | Loss(text/kernel): 0.138/0.056 | IoU(text/kernel): 0.831/0.726
(61/62) LR: 0.000937 | Batch: 1.817s | Total: 2min | ETA: 0min | Loss: 0.193 | Loss(text/kernel): 0.137/0.056 | IoU(text/kernel): 0.831/0.725
Epoch: [43 | 600]
(1/62) LR: 0.000937 | Batch: 2.647s | Total: 0min | ETA: 3min | Loss: 0.155 | Loss(text/kernel): 0.103/0.052 | IoU(text/kernel): 0.849/0.729
(21/62) LR: 0.000936 | Batch: 1.906s | Total: 1min | ETA: 1min | Loss: 0.186 | Loss(text/kernel): 0.131/0.055 | IoU(text/kernel): 0.837/0.726
(41/62) LR: 0.000936 | Batch: 1.817s | Total: 1min | ETA: 1min | Loss: 0.188 | Loss(text/kernel): 0.133/0.055 | IoU(text/kernel): 0.835/0.728
(61/62) LR: 0.000935 | Batch: 1.815s | Total: 2min | ETA: 0min | Loss: 0.193 | Loss(text/kernel): 0.137/0.056 | IoU(text/kernel): 0.831/0.725
Epoch: [44 | 600]
(1/62) LR: 0.000935 | Batch: 2.753s | Total: 0min | ETA: 3min | Loss: 0.195 | Loss(text/kernel): 0.137/0.058 | IoU(text/kernel): 0.833/0.719
(21/62) LR: 0.000935 | Batch: 1.985s | Total: 1min | ETA: 1min | Loss: 0.192 | Loss(text/kernel): 0.137/0.055 | IoU(text/kernel): 0.829/0.725
(41/62) LR: 0.000934 | Batch: 1.919s | Total: 1min | ETA: 1min | Loss: 0.190 | Loss(text/kernel): 0.134/0.056 | IoU(text/kernel): 0.832/0.727
(61/62) LR: 0.000934 | Batch: 1.849s | Total: 2min | ETA: 0min | Loss: 0.189 | Loss(text/kernel): 0.134/0.056 | IoU(text/kernel): 0.832/0.727
Epoch: [45 | 600]
(1/62) LR: 0.000934 | Batch: 2.627s | Total: 0min | ETA: 3min | Loss: 0.169 | Loss(text/kernel): 0.114/0.054 | IoU(text/kernel): 0.856/0.733
(21/62) LR: 0.000933 | Batch: 1.834s | Total: 1min | ETA: 1min | Loss: 0.185 | Loss(text/kernel): 0.130/0.055 | IoU(text/kernel): 0.840/0.733
(41/62) LR: 0.000933 | Batch: 1.798s | Total: 1min | ETA: 1min | Loss: 0.183 | Loss(text/kernel): 0.128/0.055 | IoU(text/kernel): 0.840/0.731
(61/62) LR: 0.000932 | Batch: 1.804s | Total: 2min | ETA: 0min | Loss: 0.189 | Loss(text/kernel): 0.133/0.056 | IoU(text/kernel): 0.834/0.725
Epoch: [46 | 600]
(1/62) LR: 0.000932 | Batch: 3.706s | Total: 0min | ETA: 4min | Loss: 0.182 | Loss(text/kernel): 0.123/0.059 | IoU(text/kernel): 0.843/0.715
(21/62) LR: 0.000932 | Batch: 1.928s | Total: 1min | ETA: 1min | Loss: 0.181 | Loss(text/kernel): 0.125/0.056 | IoU(text/kernel): 0.833/0.726
(41/62) LR: 0.000931 | Batch: 1.831s | Total: 1min | ETA: 1min | Loss: 0.181 | Loss(text/kernel): 0.125/0.055 | IoU(text/kernel): 0.837/0.728
(61/62) LR: 0.000931 | Batch: 1.824s | Total: 2min | ETA: 0min | Loss: 0.184 | Loss(text/kernel): 0.129/0.055 | IoU(text/kernel): 0.835/0.728
Epoch: [47 | 600]
(1/62) LR: 0.000931 | Batch: 2.866s | Total: 0min | ETA: 3min | Loss: 0.189 | Loss(text/kernel): 0.135/0.054 | IoU(text/kernel): 0.834/0.717
(21/62) LR: 0.000930 | Batch: 1.916s | Total: 1min | ETA: 1min | Loss: 0.183 | Loss(text/kernel): 0.129/0.055 | IoU(text/kernel): 0.834/0.726
(41/62) LR: 0.000930 | Batch: 1.829s | Total: 1min | ETA: 1min | Loss: 0.186 | Loss(text/kernel): 0.131/0.054 | IoU(text/kernel): 0.834/0.729
(61/62) LR: 0.000929 | Batch: 1.838s | Total: 2min | ETA: 0min | Loss: 0.185 | Loss(text/kernel): 0.131/0.054 | IoU(text/kernel): 0.834/0.729
Epoch: [48 | 600]
(1/62) LR: 0.000929 | Batch: 2.790s | Total: 0min | ETA: 3min | Loss: 0.132 | Loss(text/kernel): 0.085/0.047 | IoU(text/kernel): 0.878/0.748
(21/62) LR: 0.000929 | Batch: 1.858s | Total: 1min | ETA: 1min | Loss: 0.179 | Loss(text/kernel): 0.124/0.055 | IoU(text/kernel): 0.844/0.735
(41/62) LR: 0.000928 | Batch: 1.836s | Total: 1min | ETA: 1min | Loss: 0.184 | Loss(text/kernel): 0.128/0.056 | IoU(text/kernel): 0.840/0.730
(61/62) LR: 0.000928 | Batch: 1.812s | Total: 2min | ETA: 0min | Loss: 0.183 | Loss(text/kernel): 0.128/0.055 | IoU(text/kernel): 0.842/0.730
Epoch: [49 | 600]
(1/62) LR: 0.000928 | Batch: 2.480s | Total: 0min | ETA: 3min | Loss: 0.208 | Loss(text/kernel): 0.149/0.059 | IoU(text/kernel): 0.824/0.722
(21/62) LR: 0.000927 | Batch: 1.728s | Total: 1min | ETA: 1min | Loss: 0.191 | Loss(text/kernel): 0.135/0.056 | IoU(text/kernel): 0.832/0.729
(41/62) LR: 0.000927 | Batch: 1.789s | Total: 1min | ETA: 1min | Loss: 0.193 | Loss(text/kernel): 0.136/0.057 | IoU(text/kernel): 0.834/0.729
(61/62) LR: 0.000926 | Batch: 1.821s | Total: 2min | ETA: 0min | Loss: 0.191 | Loss(text/kernel): 0.135/0.056 | IoU(text/kernel): 0.835/0.729
Epoch: [50 | 600]
(1/62) LR: 0.000926 | Batch: 3.334s | Total: 0min | ETA: 3min | Loss: 0.199 | Loss(text/kernel): 0.144/0.055 | IoU(text/kernel): 0.837/0.719
(21/62) LR: 0.000926 | Batch: 1.848s | Total: 1min | ETA: 1min | Loss: 0.188 | Loss(text/kernel): 0.132/0.056 | IoU(text/kernel): 0.838/0.727
(41/62) LR: 0.000925 | Batch: 1.873s | Total: 1min | ETA: 1min | Loss: 0.189 | Loss(text/kernel): 0.132/0.057 | IoU(text/kernel): 0.839/0.725
(61/62) LR: 0.000925 | Batch: 1.834s | Total: 2min | ETA: 0min | Loss: 0.185 | Loss(text/kernel): 0.129/0.056 | IoU(text/kernel): 0.841/0.727
Epoch: [51 | 600]
(1/62) LR: 0.000925 | Batch: 2.728s | Total: 0min | ETA: 3min | Loss: 0.137 | Loss(text/kernel): 0.086/0.051 | IoU(text/kernel): 0.880/0.732
(21/62) LR: 0.000924 | Batch: 1.812s | Total: 1min | ETA: 1min | Loss: 0.186 | Loss(text/kernel): 0.132/0.055 | IoU(text/kernel): 0.840/0.733
(41/62) LR: 0.000924 | Batch: 1.783s | Total: 1min | ETA: 1min | Loss: 0.186 | Loss(text/kernel): 0.131/0.056 | IoU(text/kernel): 0.841/0.732
(61/62) LR: 0.000923 | Batch: 1.801s | Total: 2min | ETA: 0min | Loss: 0.183 | Loss(text/kernel): 0.129/0.054 | IoU(text/kernel): 0.841/0.735
Epoch: [52 | 600]
(1/62) LR: 0.000923 | Batch: 2.896s | Total: 0min | ETA: 3min | Loss: 0.234 | Loss(text/kernel): 0.167/0.068 | IoU(text/kernel): 0.799/0.659
(21/62) LR: 0.000923 | Batch: 2.071s | Total: 1min | ETA: 1min | Loss: 0.195 | Loss(text/kernel): 0.138/0.058 | IoU(text/kernel): 0.832/0.722
(41/62) LR: 0.000922 | Batch: 1.945s | Total: 1min | ETA: 1min | Loss: 0.189 | Loss(text/kernel): 0.133/0.055 | IoU(text/kernel): 0.834/0.729
(61/62) LR: 0.000922 | Batch: 1.878s | Total: 2min | ETA: 0min | Loss: 0.188 | Loss(text/kernel): 0.132/0.056 | IoU(text/kernel): 0.836/0.728
Epoch: [53 | 600]
(1/62) LR: 0.000922 | Batch: 3.287s | Total: 0min | ETA: 3min | Loss: 0.198 | Loss(text/kernel): 0.142/0.057 | IoU(text/kernel): 0.798/0.724
(21/62) LR: 0.000921 | Batch: 1.902s | Total: 1min | ETA: 1min | Loss: 0.178 | Loss(text/kernel): 0.124/0.054 | IoU(text/kernel): 0.844/0.730
(41/62) LR: 0.000921 | Batch: 1.882s | Total: 1min | ETA: 1min | Loss: 0.177 | Loss(text/kernel): 0.124/0.053 | IoU(text/kernel): 0.843/0.734
(61/62) LR: 0.000920 | Batch: 1.865s | Total: 2min | ETA: 0min | Loss: 0.176 | Loss(text/kernel): 0.122/0.053 | IoU(text/kernel): 0.844/0.734
Epoch: [54 | 600]
(1/62) LR: 0.000920 | Batch: 3.298s | Total: 0min | ETA: 3min | Loss: 0.235 | Loss(text/kernel): 0.176/0.059 | IoU(text/kernel): 0.805/0.701
(21/62) LR: 0.000920 | Batch: 1.877s | Total: 1min | ETA: 1min | Loss: 0.183 | Loss(text/kernel): 0.129/0.053 | IoU(text/kernel): 0.836/0.731
(41/62) LR: 0.000919 | Batch: 1.828s | Total: 1min | ETA: 1min | Loss: 0.171 | Loss(text/kernel): 0.118/0.053 | IoU(text/kernel): 0.843/0.731
(61/62) LR: 0.000919 | Batch: 1.836s | Total: 2min | ETA: 0min | Loss: 0.169 | Loss(text/kernel): 0.116/0.053 | IoU(text/kernel): 0.846/0.735
Epoch: [55 | 600]
(1/62) LR: 0.000919 | Batch: 4.026s | Total: 0min | ETA: 4min | Loss: 0.177 | Loss(text/kernel): 0.120/0.057 | IoU(text/kernel): 0.834/0.720
(21/62) LR: 0.000918 | Batch: 2.032s | Total: 1min | ETA: 1min | Loss: 0.200 | Loss(text/kernel): 0.142/0.058 | IoU(text/kernel): 0.835/0.724
(41/62) LR: 0.000918 | Batch: 1.891s | Total: 1min | ETA: 1min | Loss: 0.191 | Loss(text/kernel): 0.133/0.058 | IoU(text/kernel): 0.841/0.729
(61/62) LR: 0.000917 | Batch: 1.816s | Total: 2min | ETA: 0min | Loss: 0.185 | Loss(text/kernel): 0.128/0.056 | IoU(text/kernel): 0.843/0.730
Epoch: [56 | 600]
(1/62) LR: 0.000917 | Batch: 2.710s | Total: 0min | ETA: 3min | Loss: 0.188 | Loss(text/kernel): 0.136/0.052 | IoU(text/kernel): 0.841/0.742
(21/62) LR: 0.000917 | Batch: 1.793s | Total: 1min | ETA: 1min | Loss: 0.169 | Loss(text/kernel): 0.118/0.052 | IoU(text/kernel): 0.847/0.736
(41/62) LR: 0.000916 | Batch: 1.772s | Total: 1min | ETA: 1min | Loss: 0.162 | Loss(text/kernel): 0.111/0.051 | IoU(text/kernel): 0.853/0.741
(61/62) LR: 0.000916 | Batch: 1.817s | Total: 2min | ETA: 0min | Loss: 0.168 | Loss(text/kernel): 0.115/0.053 | IoU(text/kernel): 0.851/0.739
Epoch: [57 | 600]
(1/62) LR: 0.000916 | Batch: 3.266s | Total: 0min | ETA: 3min | Loss: 0.137 | Loss(text/kernel): 0.086/0.051 | IoU(text/kernel): 0.878/0.727
(21/62) LR: 0.000915 | Batch: 1.766s | Total: 1min | ETA: 1min | Loss: 0.183 | Loss(text/kernel): 0.126/0.058 | IoU(text/kernel): 0.843/0.728
(41/62) LR: 0.000915 | Batch: 1.841s | Total: 1min | ETA: 1min | Loss: 0.184 | Loss(text/kernel): 0.127/0.057 | IoU(text/kernel): 0.842/0.728
(61/62) LR: 0.000914 | Batch: 1.823s | Total: 2min | ETA: 0min | Loss: 0.176 | Loss(text/kernel): 0.121/0.055 | IoU(text/kernel): 0.846/0.732
Epoch: [58 | 600]
(1/62) LR: 0.000914 | Batch: 3.075s | Total: 0min | ETA: 3min | Loss: 0.144 | Loss(text/kernel): 0.095/0.050 | IoU(text/kernel): 0.876/0.747
(21/62) LR: 0.000914 | Batch: 1.926s | Total: 1min | ETA: 1min | Loss: 0.169 | Loss(text/kernel): 0.117/0.052 | IoU(text/kernel): 0.849/0.733
(41/62) LR: 0.000913 | Batch: 1.862s | Total: 1min | ETA: 1min | Loss: 0.172 | Loss(text/kernel): 0.118/0.054 | IoU(text/kernel): 0.850/0.732
(61/62) LR: 0.000913 | Batch: 1.831s | Total: 2min | ETA: 0min | Loss: 0.167 | Loss(text/kernel): 0.114/0.053 | IoU(text/kernel): 0.852/0.737
Epoch: [59 | 600]
(1/62) LR: 0.000913 | Batch: 3.278s | Total: 0min | ETA: 3min | Loss: 0.149 | Loss(text/kernel): 0.104/0.045 | IoU(text/kernel): 0.849/0.761
(21/62) LR: 0.000912 | Batch: 1.864s | Total: 1min | ETA: 1min | Loss: 0.167 | Loss(text/kernel): 0.115/0.053 | IoU(text/kernel): 0.851/0.742
(41/62) LR: 0.000912 | Batch: 1.837s | Total: 1min | ETA: 1min | Loss: 0.177 | Loss(text/kernel): 0.123/0.055 | IoU(text/kernel): 0.847/0.737
(61/62) LR: 0.000911 | Batch: 1.820s | Total: 2min | ETA: 0min | Loss: 0.179 | Loss(text/kernel): 0.123/0.056 | IoU(text/kernel): 0.848/0.735
Epoch: [60 | 600]
(1/62) LR: 0.000911 | Batch: 2.514s | Total: 0min | ETA: 3min | Loss: 0.129 | Loss(text/kernel): 0.084/0.045 | IoU(text/kernel): 0.886/0.759
(21/62) LR: 0.000911 | Batch: 1.851s | Total: 1min | ETA: 1min | Loss: 0.170 | Loss(text/kernel): 0.116/0.054 | IoU(text/kernel): 0.850/0.738
(41/62) LR: 0.000910 | Batch: 1.822s | Total: 1min | ETA: 1min | Loss: 0.164 | Loss(text/kernel): 0.110/0.054 | IoU(text/kernel): 0.854/0.738
(61/62) LR: 0.000910 | Batch: 1.831s | Total: 2min | ETA: 0min | Loss: 0.167 | Loss(text/kernel): 0.113/0.054 | IoU(text/kernel): 0.852/0.737
Epoch: [61 | 600]
(1/62) LR: 0.000910 | Batch: 3.550s | Total: 0min | ETA: 4min | Loss: 0.151 | Loss(text/kernel): 0.096/0.055 | IoU(text/kernel): 0.861/0.728
(21/62) LR: 0.000909 | Batch: 1.912s | Total: 1min | ETA: 1min | Loss: 0.166 | Loss(text/kernel): 0.113/0.053 | IoU(text/kernel): 0.853/0.740
(41/62) LR: 0.000909 | Batch: 1.848s | Total: 1min | ETA: 1min | Loss: 0.167 | Loss(text/kernel): 0.114/0.053 | IoU(text/kernel): 0.852/0.737
(61/62) LR: 0.000908 | Batch: 1.841s | Total: 2min | ETA: 0min | Loss: 0.167 | Loss(text/kernel): 0.114/0.053 | IoU(text/kernel): 0.854/0.739
Epoch: [62 | 600]
(1/62) LR: 0.000908 | Batch: 2.058s | Total: 0min | ETA: 2min | Loss: 0.158 | Loss(text/kernel): 0.104/0.054 | IoU(text/kernel): 0.857/0.741
(21/62) LR: 0.000908 | Batch: 1.803s | Total: 1min | ETA: 1min | Loss: 0.169 | Loss(text/kernel): 0.116/0.053 | IoU(text/kernel): 0.850/0.737
(41/62) LR: 0.000907 | Batch: 1.814s | Total: 1min | ETA: 1min | Loss: 0.163 | Loss(text/kernel): 0.111/0.052 | IoU(text/kernel): 0.855/0.742
(61/62) LR: 0.000907 | Batch: 1.834s | Total: 2min | ETA: 0min | Loss: 0.167 | Loss(text/kernel): 0.114/0.053 | IoU(text/kernel): 0.851/0.739
Epoch: [63 | 600]
(1/62) LR: 0.000907 | Batch: 2.652s | Total: 0min | ETA: 3min | Loss: 0.162 | Loss(text/kernel): 0.115/0.046 | IoU(text/kernel): 0.852/0.747
(21/62) LR: 0.000906 | Batch: 1.850s | Total: 1min | ETA: 1min | Loss: 0.175 | Loss(text/kernel): 0.121/0.055 | IoU(text/kernel): 0.849/0.736
(41/62) LR: 0.000906 | Batch: 1.826s | Total: 1min | ETA: 1min | Loss: 0.181 | Loss(text/kernel): 0.126/0.055 | IoU(text/kernel): 0.844/0.736
(61/62) LR: 0.000905 | Batch: 1.829s | Total: 2min | ETA: 0min | Loss: 0.175 | Loss(text/kernel): 0.121/0.054 | IoU(text/kernel): 0.846/0.737
Epoch: [64 | 600]
(1/62) LR: 0.000905 | Batch: 2.609s | Total: 0min | ETA: 3min | Loss: 0.133 | Loss(text/kernel): 0.089/0.043 | IoU(text/kernel): 0.870/0.770
(21/62) LR: 0.000904 | Batch: 1.791s | Total: 1min | ETA: 1min | Loss: 0.168 | Loss(text/kernel): 0.115/0.054 | IoU(text/kernel): 0.853/0.734
(41/62) LR: 0.000904 | Batch: 1.839s | Total: 1min | ETA: 1min | Loss: 0.167 | Loss(text/kernel): 0.114/0.053 | IoU(text/kernel): 0.856/0.738
(61/62) LR: 0.000904 | Batch: 1.842s | Total: 2min | ETA: 0min | Loss: 0.169 | Loss(text/kernel): 0.116/0.054 | IoU(text/kernel): 0.853/0.737
Epoch: [65 | 600]
(1/62) LR: 0.000903 | Batch: 2.868s | Total: 0min | ETA: 3min | Loss: 0.159 | Loss(text/kernel): 0.098/0.062 | IoU(text/kernel): 0.855/0.705
(21/62) LR: 0.000903 | Batch: 2.010s | Total: 1min | ETA: 1min | Loss: 0.176 | Loss(text/kernel): 0.121/0.056 | IoU(text/kernel): 0.849/0.735
(41/62) LR: 0.000902 | Batch: 1.835s | Total: 1min | ETA: 1min | Loss: 0.172 | Loss(text/kernel): 0.119/0.053 | IoU(text/kernel): 0.850/0.739
(61/62) LR: 0.000902 | Batch: 1.829s | Total: 2min | ETA: 0min | Loss: 0.175 | Loss(text/kernel): 0.121/0.054 | IoU(text/kernel): 0.847/0.737
Epoch: [66 | 600]
(1/62) LR: 0.000902 | Batch: 2.409s | Total: 0min | ETA: 2min | Loss: 0.136 | Loss(text/kernel): 0.086/0.050 | IoU(text/kernel): 0.877/0.752
(21/62) LR: 0.000901 | Batch: 1.873s | Total: 1min | ETA: 1min | Loss: 0.180 | Loss(text/kernel): 0.125/0.054 | IoU(text/kernel): 0.845/0.730
(41/62) LR: 0.000901 | Batch: 1.902s | Total: 1min | ETA: 1min | Loss: 0.174 | Loss(text/kernel): 0.121/0.054 | IoU(text/kernel): 0.848/0.731
(61/62) LR: 0.000900 | Batch: 1.853s | Total: 2min | ETA: 0min | Loss: 0.170 | Loss(text/kernel): 0.117/0.053 | IoU(text/kernel): 0.851/0.736
Epoch: [67 | 600]
(1/62) LR: 0.000900 | Batch: 2.807s | Total: 0min | ETA: 3min | Loss: 0.318 | Loss(text/kernel): 0.227/0.091 | IoU(text/kernel): 0.778/0.668
(21/62) LR: 0.000900 | Batch: 1.874s | Total: 1min | ETA: 1min | Loss: 0.173 | Loss(text/kernel): 0.118/0.054 | IoU(text/kernel): 0.849/0.737
(41/62) LR: 0.000899 | Batch: 1.867s | Total: 1min | ETA: 1min | Loss: 0.172 | Loss(text/kernel): 0.118/0.054 | IoU(text/kernel): 0.849/0.737
(61/62) LR: 0.000899 | Batch: 1.817s | Total: 2min | ETA: 0min | Loss: 0.169 | Loss(text/kernel): 0.117/0.053 | IoU(text/kernel): 0.849/0.738
Epoch: [68 | 600]
(1/62) LR: 0.000899 | Batch: 3.523s | Total: 0min | ETA: 4min | Loss: 0.183 | Loss(text/kernel): 0.129/0.054 | IoU(text/kernel): 0.822/0.732
(21/62) LR: 0.000898 | Batch: 1.989s | Total: 1min | ETA: 1min | Loss: 0.171 | Loss(text/kernel): 0.117/0.055 | IoU(text/kernel): 0.851/0.735
(41/62) LR: 0.000898 | Batch: 1.883s | Total: 1min | ETA: 1min | Loss: 0.165 | Loss(text/kernel): 0.113/0.053 | IoU(text/kernel): 0.854/0.740
(61/62) LR: 0.000897 | Batch: 1.838s | Total: 2min | ETA: 0min | Loss: 0.166 | Loss(text/kernel): 0.114/0.052 | IoU(text/kernel): 0.853/0.742
Epoch: [69 | 600]
(1/62) LR: 0.000897 | Batch: 3.506s | Total: 0min | ETA: 4min | Loss: 0.139 | Loss(text/kernel): 0.091/0.049 | IoU(text/kernel): 0.870/0.740
(21/62) LR: 0.000897 | Batch: 1.857s | Total: 1min | ETA: 1min | Loss: 0.162 | Loss(text/kernel): 0.110/0.052 | IoU(text/kernel): 0.858/0.742
(41/62) LR: 0.000896 | Batch: 1.818s | Total: 1min | ETA: 1min | Loss: 0.166 | Loss(text/kernel): 0.113/0.053 | IoU(text/kernel): 0.857/0.738
(61/62) LR: 0.000896 | Batch: 1.816s | Total: 2min | ETA: 0min | Loss: 0.165 | Loss(text/kernel): 0.113/0.052 | IoU(text/kernel): 0.857/0.741
Epoch: [70 | 600]
(1/62) LR: 0.000896 | Batch: 2.503s | Total: 0min | ETA: 3min | Loss: 0.117 | Loss(text/kernel): 0.073/0.044 | IoU(text/kernel): 0.888/0.779
(21/62) LR: 0.000895 | Batch: 1.883s | Total: 1min | ETA: 1min | Loss: 0.152 | Loss(text/kernel): 0.102/0.051 | IoU(text/kernel): 0.864/0.745
(41/62) LR: 0.000895 | Batch: 1.827s | Total: 1min | ETA: 1min | Loss: 0.161 | Loss(text/kernel): 0.108/0.053 | IoU(text/kernel): 0.860/0.739
(61/62) LR: 0.000894 | Batch: 1.833s | Total: 2min | ETA: 0min | Loss: 0.165 | Loss(text/kernel): 0.112/0.053 | IoU(text/kernel): 0.858/0.739
Epoch: [71 | 600]
(1/62) LR: 0.000894 | Batch: 3.273s | Total: 0min | ETA: 3min | Loss: 0.150 | Loss(text/kernel): 0.096/0.054 | IoU(text/kernel): 0.862/0.734
(21/62) LR: 0.000894 | Batch: 1.917s | Total: 1min | ETA: 1min | Loss: 0.157 | Loss(text/kernel): 0.105/0.051 | IoU(text/kernel): 0.862/0.743
(41/62) LR: 0.000893 | Batch: 1.875s | Total: 1min | ETA: 1min | Loss: 0.160 | Loss(text/kernel): 0.107/0.052 | IoU(text/kernel): 0.860/0.744
(61/62) LR: 0.000893 | Batch: 1.836s | Total: 2min | ETA: 0min | Loss: 0.162 | Loss(text/kernel): 0.109/0.053 | IoU(text/kernel): 0.857/0.740
Epoch: [72 | 600]
(1/62) LR: 0.000893 | Batch: 2.743s | Total: 0min | ETA: 3min | Loss: 0.139 | Loss(text/kernel): 0.089/0.051 | IoU(text/kernel): 0.873/0.743
(21/62) LR: 0.000892 | Batch: 1.927s | Total: 1min | ETA: 1min | Loss: 0.147 | Loss(text/kernel): 0.097/0.050 | IoU(text/kernel): 0.866/0.745
(41/62) LR: 0.000892 | Batch: 1.892s | Total: 1min | ETA: 1min | Loss: 0.165 | Loss(text/kernel): 0.110/0.055 | IoU(text/kernel): 0.857/0.740
(61/62) LR: 0.000891 | Batch: 1.840s | Total: 2min | ETA: 0min | Loss: 0.165 | Loss(text/kernel): 0.112/0.053 | IoU(text/kernel): 0.857/0.741
Epoch: [73 | 600]
(1/62) LR: 0.000891 | Batch: 2.502s | Total: 0min | ETA: 3min | Loss: 0.140 | Loss(text/kernel): 0.099/0.041 | IoU(text/kernel): 0.863/0.782
(21/62) LR: 0.000891 | Batch: 1.831s | Total: 1min | ETA: 1min | Loss: 0.166 | Loss(text/kernel): 0.114/0.052 | IoU(text/kernel): 0.853/0.739
(41/62) LR: 0.000890 | Batch: 1.839s | Total: 1min | ETA: 1min | Loss: 0.158 | Loss(text/kernel): 0.107/0.051 | IoU(text/kernel): 0.858/0.745
(61/62) LR: 0.000890 | Batch: 1.814s | Total: 2min | ETA: 0min | Loss: 0.155 | Loss(text/kernel): 0.104/0.051 | IoU(text/kernel): 0.858/0.744
Epoch: [74 | 600]
(1/62) LR: 0.000890 | Batch: 2.995s | Total: 0min | ETA: 3min | Loss: 0.112 | Loss(text/kernel): 0.067/0.044 | IoU(text/kernel): 0.898/0.769
(21/62) LR: 0.000889 | Batch: 1.825s | Total: 1min | ETA: 1min | Loss: 0.157 | Loss(text/kernel): 0.104/0.053 | IoU(text/kernel): 0.866/0.746
(41/62) LR: 0.000889 | Batch: 1.815s | Total: 1min | ETA: 1min | Loss: 0.156 | Loss(text/kernel): 0.105/0.051 | IoU(text/kernel): 0.864/0.748
(61/62) LR: 0.000888 | Batch: 1.823s | Total: 2min | ETA: 0min | Loss: 0.159 | Loss(text/kernel): 0.107/0.052 | IoU(text/kernel): 0.862/0.746
Epoch: [75 | 600]
(1/62) LR: 0.000888 | Batch: 2.835s | Total: 0min | ETA: 3min | Loss: 0.142 | Loss(text/kernel): 0.091/0.051 | IoU(text/kernel): 0.863/0.740
(21/62) LR: 0.000888 | Batch: 1.894s | Total: 1min | ETA: 1min | Loss: 0.152 | Loss(text/kernel): 0.100/0.052 | IoU(text/kernel): 0.867/0.749
(41/62) LR: 0.000887 | Batch: 1.847s | Total: 1min | ETA: 1min | Loss: 0.157 | Loss(text/kernel): 0.105/0.051 | IoU(text/kernel): 0.862/0.745
(61/62) LR: 0.000887 | Batch: 1.851s | Total: 2min | ETA: 0min | Loss: 0.162 | Loss(text/kernel): 0.110/0.052 | IoU(text/kernel): 0.859/0.744
Epoch: [76 | 600]
(1/62) LR: 0.000887 | Batch: 2.320s | Total: 0min | ETA: 2min | Loss: 0.154 | Loss(text/kernel): 0.091/0.063 | IoU(text/kernel): 0.879/0.734
(21/62) LR: 0.000886 | Batch: 1.862s | Total: 1min | ETA: 1min | Loss: 0.160 | Loss(text/kernel): 0.110/0.050 | IoU(text/kernel): 0.861/0.750
(41/62) LR: 0.000886 | Batch: 1.837s | Total: 1min | ETA: 1min | Loss: 0.172 | Loss(text/kernel): 0.119/0.053 | IoU(text/kernel): 0.851/0.741
(61/62) LR: 0.000885 | Batch: 1.851s | Total: 2min | ETA: 0min | Loss: 0.166 | Loss(text/kernel): 0.114/0.051 | IoU(text/kernel): 0.855/0.745
Epoch: [77 | 600]
(1/62) LR: 0.000885 | Batch: 2.935s | Total: 0min | ETA: 3min | Loss: 0.185 | Loss(text/kernel): 0.130/0.055 | IoU(text/kernel): 0.846/0.717
(21/62) LR: 0.000885 | Batch: 1.817s | Total: 1min | ETA: 1min | Loss: 0.159 | Loss(text/kernel): 0.107/0.052 | IoU(text/kernel): 0.863/0.745
(41/62) LR: 0.000884 | Batch: 1.800s | Total: 1min | ETA: 1min | Loss: 0.161 | Loss(text/kernel): 0.110/0.051 | IoU(text/kernel): 0.859/0.745
(61/62) LR: 0.000884 | Batch: 1.793s | Total: 2min | ETA: 0min | Loss: 0.162 | Loss(text/kernel): 0.110/0.052 | IoU(text/kernel): 0.859/0.744
Epoch: [78 | 600]
(1/62) LR: 0.000884 | Batch: 2.940s | Total: 0min | ETA: 3min | Loss: 0.241 | Loss(text/kernel): 0.167/0.074 | IoU(text/kernel): 0.838/0.715
(21/62) LR: 0.000883 | Batch: 1.769s | Total: 1min | ETA: 1min | Loss: 0.160 | Loss(text/kernel): 0.108/0.052 | IoU(text/kernel): 0.859/0.748
(41/62) LR: 0.000883 | Batch: 1.844s | Total: 1min | ETA: 1min | Loss: 0.165 | Loss(text/kernel): 0.113/0.052 | IoU(text/kernel): 0.856/0.743
(61/62) LR: 0.000882 | Batch: 1.827s | Total: 2min | ETA: 0min | Loss: 0.161 | Loss(text/kernel): 0.109/0.052 | IoU(text/kernel): 0.859/0.746
Epoch: [79 | 600]
(1/62) LR: 0.000882 | Batch: 3.348s | Total: 0min | ETA: 3min | Loss: 0.156 | Loss(text/kernel): 0.098/0.059 | IoU(text/kernel): 0.865/0.716
(21/62) LR: 0.000882 | Batch: 1.868s | Total: 1min | ETA: 1min | Loss: 0.148 | Loss(text/kernel): 0.097/0.050 | IoU(text/kernel): 0.865/0.750
(41/62) LR: 0.000881 | Batch: 1.830s | Total: 1min | ETA: 1min | Loss: 0.153 | Loss(text/kernel): 0.101/0.051 | IoU(text/kernel): 0.865/0.750
(61/62) LR: 0.000881 | Batch: 1.807s | Total: 2min | ETA: 0min | Loss: 0.153 | Loss(text/kernel): 0.102/0.051 | IoU(text/kernel): 0.864/0.749
Epoch: [80 | 600]
(1/62) LR: 0.000881 | Batch: 2.800s | Total: 0min | ETA: 3min | Loss: 0.167 | Loss(text/kernel): 0.117/0.050 | IoU(text/kernel): 0.850/0.741
(21/62) LR: 0.000880 | Batch: 1.886s | Total: 1min | ETA: 1min | Loss: 0.158 | Loss(text/kernel): 0.105/0.053 | IoU(text/kernel): 0.862/0.745
(41/62) LR: 0.000880 | Batch: 1.840s | Total: 1min | ETA: 1min | Loss: 0.161 | Loss(text/kernel): 0.109/0.052 | IoU(text/kernel): 0.858/0.746
(61/62) LR: 0.000879 | Batch: 1.805s | Total: 2min | ETA: 0min | Loss: 0.155 | Loss(text/kernel): 0.103/0.051 | IoU(text/kernel): 0.862/0.747
Epoch: [81 | 600]
(1/62) LR: 0.000879 | Batch: 2.480s | Total: 0min | ETA: 3min | Loss: 0.185 | Loss(text/kernel): 0.135/0.049 | IoU(text/kernel): 0.844/0.754
(21/62) LR: 0.000879 | Batch: 1.766s | Total: 1min | ETA: 1min | Loss: 0.148 | Loss(text/kernel): 0.098/0.050 | IoU(text/kernel): 0.872/0.759
(41/62) LR: 0.000878 | Batch: 1.802s | Total: 1min | ETA: 1min | Loss: 0.152 | Loss(text/kernel): 0.101/0.050 | IoU(text/kernel): 0.869/0.755
(61/62) LR: 0.000878 | Batch: 1.821s | Total: 2min | ETA: 0min | Loss: 0.158 | Loss(text/kernel): 0.108/0.051 | IoU(text/kernel): 0.863/0.750
Epoch: [82 | 600]
(1/62) LR: 0.000878 | Batch: 2.420s | Total: 0min | ETA: 3min | Loss: 0.126 | Loss(text/kernel): 0.079/0.046 | IoU(text/kernel): 0.888/0.756
(21/62) LR: 0.000877 | Batch: 1.841s | Total: 1min | ETA: 1min | Loss: 0.147 | Loss(text/kernel): 0.098/0.049 | IoU(text/kernel): 0.868/0.752
(41/62) LR: 0.000877 | Batch: 1.841s | Total: 1min | ETA: 1min | Loss: 0.153 | Loss(text/kernel): 0.103/0.050 | IoU(text/kernel): 0.866/0.752
(61/62) LR: 0.000876 | Batch: 1.852s | Total: 2min | ETA: 0min | Loss: 0.153 | Loss(text/kernel): 0.103/0.050 | IoU(text/kernel): 0.865/0.749
Epoch: [83 | 600]
(1/62) LR: 0.000876 | Batch: 2.965s | Total: 0min | ETA: 3min | Loss: 0.135 | Loss(text/kernel): 0.091/0.044 | IoU(text/kernel): 0.877/0.767
(21/62) LR: 0.000876 | Batch: 1.844s | Total: 1min | ETA: 1min | Loss: 0.152 | Loss(text/kernel): 0.102/0.049 | IoU(text/kernel): 0.865/0.760
(41/62) LR: 0.000875 | Batch: 1.818s | Total: 1min | ETA: 1min | Loss: 0.149 | Loss(text/kernel): 0.099/0.050 | IoU(text/kernel): 0.868/0.755
(61/62) LR: 0.000875 | Batch: 1.805s | Total: 2min | ETA: 0min | Loss: 0.151 | Loss(text/kernel): 0.101/0.050 | IoU(text/kernel): 0.864/0.751
Epoch: [84 | 600]
(1/62) LR: 0.000875 | Batch: 3.505s | Total: 0min | ETA: 4min | Loss: 0.181 | Loss(text/kernel): 0.124/0.057 | IoU(text/kernel): 0.840/0.726
(21/62) LR: 0.000874 | Batch: 1.831s | Total: 1min | ETA: 1min | Loss: 0.142 | Loss(text/kernel): 0.095/0.047 | IoU(text/kernel): 0.874/0.759
(41/62) LR: 0.000874 | Batch: 1.802s | Total: 1min | ETA: 1min | Loss: 0.147 | Loss(text/kernel): 0.097/0.049 | IoU(text/kernel): 0.870/0.753
(61/62) LR: 0.000873 | Batch: 1.820s | Total: 2min | ETA: 0min | Loss: 0.151 | Loss(text/kernel): 0.100/0.050 | IoU(text/kernel): 0.869/0.751
Epoch: [85 | 600]
(1/62) LR: 0.000873 | Batch: 2.650s | Total: 0min | ETA: 3min | Loss: 0.111 | Loss(text/kernel): 0.068/0.042 | IoU(text/kernel): 0.901/0.777
(21/62) LR: 0.000873 | Batch: 1.827s | Total: 1min | ETA: 1min | Loss: 0.154 | Loss(text/kernel): 0.104/0.049 | IoU(text/kernel): 0.861/0.745
(41/62) LR: 0.000872 | Batch: 1.805s | Total: 1min | ETA: 1min | Loss: 0.155 | Loss(text/kernel): 0.104/0.051 | IoU(text/kernel): 0.863/0.745
(61/62) LR: 0.000872 | Batch: 1.829s | Total: 2min | ETA: 0min | Loss: 0.155 | Loss(text/kernel): 0.103/0.051 | IoU(text/kernel): 0.864/0.747
Epoch: [86 | 600]
(1/62) LR: 0.000872 | Batch: 2.463s | Total: 0min | ETA: 3min | Loss: 0.194 | Loss(text/kernel): 0.143/0.051 | IoU(text/kernel): 0.824/0.735
(21/62) LR: 0.000871 | Batch: 1.951s | Total: 1min | ETA: 1min | Loss: 0.151 | Loss(text/kernel): 0.102/0.049 | IoU(text/kernel): 0.868/0.751
(41/62) LR: 0.000871 | Batch: 1.869s | Total: 1min | ETA: 1min | Loss: 0.161 | Loss(text/kernel): 0.109/0.052 | IoU(text/kernel): 0.861/0.747
(61/62) LR: 0.000870 | Batch: 1.832s | Total: 2min | ETA: 0min | Loss: 0.162 | Loss(text/kernel): 0.110/0.052 | IoU(text/kernel): 0.859/0.747
Epoch: [87 | 600]
(1/62) LR: 0.000870 | Batch: 2.501s | Total: 0min | ETA: 3min | Loss: 0.142 | Loss(text/kernel): 0.094/0.048 | IoU(text/kernel): 0.865/0.752
(21/62) LR: 0.000870 | Batch: 1.852s | Total: 1min | ETA: 1min | Loss: 0.147 | Loss(text/kernel): 0.099/0.048 | IoU(text/kernel): 0.868/0.757
(41/62) LR: 0.000869 | Batch: 1.833s | Total: 1min | ETA: 1min | Loss: 0.150 | Loss(text/kernel): 0.100/0.049 | IoU(text/kernel): 0.864/0.752
(61/62) LR: 0.000869 | Batch: 1.807s | Total: 2min | ETA: 0min | Loss: 0.152 | Loss(text/kernel): 0.102/0.050 | IoU(text/kernel): 0.865/0.751
Epoch: [88 | 600]
(1/62) LR: 0.000868 | Batch: 1.935s | Total: 0min | ETA: 2min | Loss: 0.095 | Loss(text/kernel): 0.059/0.036 | IoU(text/kernel): 0.915/0.806
(21/62) LR: 0.000868 | Batch: 1.834s | Total: 1min | ETA: 1min | Loss: 0.156 | Loss(text/kernel): 0.102/0.054 | IoU(text/kernel): 0.870/0.749
(41/62) LR: 0.000868 | Batch: 1.847s | Total: 1min | ETA: 1min | Loss: 0.155 | Loss(text/kernel): 0.103/0.053 | IoU(text/kernel): 0.868/0.749
(61/62) LR: 0.000867 | Batch: 1.829s | Total: 2min | ETA: 0min | Loss: 0.158 | Loss(text/kernel): 0.105/0.053 | IoU(text/kernel): 0.866/0.746
Epoch: [89 | 600]
(1/62) LR: 0.000867 | Batch: 2.862s | Total: 0min | ETA: 3min | Loss: 0.154 | Loss(text/kernel): 0.102/0.052 | IoU(text/kernel): 0.866/0.726
(21/62) LR: 0.000866 | Batch: 1.839s | Total: 1min | ETA: 1min | Loss: 0.146 | Loss(text/kernel): 0.096/0.050 | IoU(text/kernel): 0.871/0.754
(41/62) LR: 0.000866 | Batch: 1.834s | Total: 1min | ETA: 1min | Loss: 0.150 | Loss(text/kernel): 0.099/0.051 | IoU(text/kernel): 0.869/0.750
(61/62) LR: 0.000866 | Batch: 1.822s | Total: 2min | ETA: 0min | Loss: 0.147 | Loss(text/kernel): 0.097/0.050 | IoU(text/kernel): 0.871/0.752
Epoch: [90 | 600]
(1/62) LR: 0.000865 | Batch: 2.681s | Total: 0min | ETA: 3min | Loss: 0.131 | Loss(text/kernel): 0.083/0.048 | IoU(text/kernel): 0.881/0.755
(21/62) LR: 0.000865 | Batch: 1.969s | Total: 1min | ETA: 1min | Loss: 0.148 | Loss(text/kernel): 0.098/0.049 | IoU(text/kernel): 0.868/0.751
(41/62) LR: 0.000864 | Batch: 1.879s | Total: 1min | ETA: 1min | Loss: 0.146 | Loss(text/kernel): 0.096/0.050 | IoU(text/kernel): 0.872/0.752
(61/62) LR: 0.000864 | Batch: 1.841s | Total: 2min | ETA: 0min | Loss: 0.142 | Loss(text/kernel): 0.093/0.049 | IoU(text/kernel): 0.875/0.755
Epoch: [91 | 600]
(1/62) LR: 0.000864 | Batch: 2.495s | Total: 0min | ETA: 3min | Loss: 0.111 | Loss(text/kernel): 0.067/0.045 | IoU(text/kernel): 0.894/0.771
(21/62) LR: 0.000863 | Batch: 1.882s | Total: 1min | ETA: 1min | Loss: 0.129 | Loss(text/kernel): 0.082/0.047 | IoU(text/kernel): 0.880/0.758
(41/62) LR: 0.000863 | Batch: 1.847s | Total: 1min | ETA: 1min | Loss: 0.134 | Loss(text/kernel): 0.086/0.047 | IoU(text/kernel): 0.878/0.759
(61/62) LR: 0.000862 | Batch: 1.817s | Total: 2min | ETA: 0min | Loss: 0.141 | Loss(text/kernel): 0.092/0.049 | IoU(text/kernel): 0.873/0.755
Epoch: [92 | 600]
(1/62) LR: 0.000862 | Batch: 2.930s | Total: 0min | ETA: 3min | Loss: 0.196 | Loss(text/kernel): 0.139/0.057 | IoU(text/kernel): 0.828/0.708
(21/62) LR: 0.000862 | Batch: 1.823s | Total: 1min | ETA: 1min | Loss: 0.147 | Loss(text/kernel): 0.097/0.051 | IoU(text/kernel): 0.871/0.755
(41/62) LR: 0.000861 | Batch: 1.820s | Total: 1min | ETA: 1min | Loss: 0.145 | Loss(text/kernel): 0.096/0.050 | IoU(text/kernel): 0.870/0.754
(61/62) LR: 0.000861 | Batch: 1.822s | Total: 2min | ETA: 0min | Loss: 0.143 | Loss(text/kernel): 0.093/0.049 | IoU(text/kernel): 0.872/0.756
Epoch: [93 | 600]
(1/62) LR: 0.000861 | Batch: 2.456s | Total: 0min | ETA: 3min | Loss: 0.135 | Loss(text/kernel): 0.088/0.047 | IoU(text/kernel): 0.868/0.761
(21/62) LR: 0.000860 | Batch: 1.819s | Total: 1min | ETA: 1min | Loss: 0.128 | Loss(text/kernel): 0.082/0.047 | IoU(text/kernel): 0.881/0.769
(41/62) LR: 0.000860 | Batch: 1.820s | Total: 1min | ETA: 1min | Loss: 0.139 | Loss(text/kernel): 0.090/0.049 | IoU(text/kernel): 0.875/0.760
(61/62) LR: 0.000859 | Batch: 1.821s | Total: 2min | ETA: 0min | Loss: 0.140 | Loss(text/kernel): 0.092/0.048 | IoU(text/kernel): 0.875/0.759
Epoch: [94 | 600]
(1/62) LR: 0.000859 | Batch: 2.806s | Total: 0min | ETA: 3min | Loss: 0.129 | Loss(text/kernel): 0.083/0.046 | IoU(text/kernel): 0.876/0.767
(21/62) LR: 0.000859 | Batch: 1.919s | Total: 1min | ETA: 1min | Loss: 0.141 | Loss(text/kernel): 0.091/0.051 | IoU(text/kernel): 0.873/0.753
(41/62) LR: 0.000858 | Batch: 1.849s | Total: 1min | ETA: 1min | Loss: 0.143 | Loss(text/kernel): 0.093/0.050 | IoU(text/kernel): 0.873/0.757
(61/62) LR: 0.000858 | Batch: 1.823s | Total: 2min | ETA: 0min | Loss: 0.148 | Loss(text/kernel): 0.098/0.050 | IoU(text/kernel): 0.868/0.754
Epoch: [95 | 600]
(1/62) LR: 0.000858 | Batch: 3.009s | Total: 0min | ETA: 3min | Loss: 0.171 | Loss(text/kernel): 0.125/0.045 | IoU(text/kernel): 0.816/0.771
(21/62) LR: 0.000857 | Batch: 1.980s | Total: 1min | ETA: 1min | Loss: 0.158 | Loss(text/kernel): 0.108/0.050 | IoU(text/kernel): 0.854/0.748
(41/62) LR: 0.000857 | Batch: 1.876s | Total: 1min | ETA: 1min | Loss: 0.156 | Loss(text/kernel): 0.106/0.051 | IoU(text/kernel): 0.857/0.748
(61/62) LR: 0.000856 | Batch: 1.842s | Total: 2min | ETA: 0min | Loss: 0.159 | Loss(text/kernel): 0.108/0.051 | IoU(text/kernel): 0.859/0.747
Epoch: [96 | 600]
(1/62) LR: 0.000856 | Batch: 2.421s | Total: 0min | ETA: 3min | Loss: 0.153 | Loss(text/kernel): 0.103/0.051 | IoU(text/kernel): 0.865/0.737
(21/62) LR: 0.000856 | Batch: 1.923s | Total: 1min | ETA: 1min | Loss: 0.138 | Loss(text/kernel): 0.091/0.048 | IoU(text/kernel): 0.874/0.756
(41/62) LR: 0.000855 | Batch: 1.876s | Total: 1min | ETA: 1min | Loss: 0.145 | Loss(text/kernel): 0.095/0.050 | IoU(text/kernel): 0.867/0.751
(61/62) LR: 0.000855 | Batch: 1.854s | Total: 2min | ETA: 0min | Loss: 0.146 | Loss(text/kernel): 0.096/0.049 | IoU(text/kernel): 0.866/0.751
Epoch: [97 | 600]
(1/62) LR: 0.000855 | Batch: 2.483s | Total: 0min | ETA: 3min | Loss: 0.131 | Loss(text/kernel): 0.084/0.047 | IoU(text/kernel): 0.870/0.758
(21/62) LR: 0.000854 | Batch: 1.937s | Total: 1min | ETA: 1min | Loss: 0.139 | Loss(text/kernel): 0.091/0.048 | IoU(text/kernel): 0.871/0.755
(41/62) LR: 0.000854 | Batch: 1.870s | Total: 1min | ETA: 1min | Loss: 0.143 | Loss(text/kernel): 0.094/0.049 | IoU(text/kernel): 0.869/0.753
(61/62) LR: 0.000853 | Batch: 1.827s | Total: 2min | ETA: 0min | Loss: 0.143 | Loss(text/kernel): 0.093/0.049 | IoU(text/kernel): 0.870/0.753
Epoch: [98 | 600]
(1/62) LR: 0.000853 | Batch: 3.112s | Total: 0min | ETA: 3min | Loss: 0.113 | Loss(text/kernel): 0.070/0.043 | IoU(text/kernel): 0.900/0.786
(21/62) LR: 0.000853 | Batch: 1.864s | Total: 1min | ETA: 1min | Loss: 0.136 | Loss(text/kernel): 0.089/0.047 | IoU(text/kernel): 0.878/0.762
(41/62) LR: 0.000852 | Batch: 1.837s | Total: 1min | ETA: 1min | Loss: 0.139 | Loss(text/kernel): 0.091/0.048 | IoU(text/kernel): 0.874/0.756
(61/62) LR: 0.000852 | Batch: 1.818s | Total: 2min | ETA: 0min | Loss: 0.140 | Loss(text/kernel): 0.092/0.048 | IoU(text/kernel): 0.874/0.755
Epoch: [99 | 600]
(1/62) LR: 0.000852 | Batch: 3.232s | Total: 0min | ETA: 3min | Loss: 0.203 | Loss(text/kernel): 0.129/0.075 | IoU(text/kernel): 0.862/0.713
(21/62) LR: 0.000851 | Batch: 1.862s | Total: 1min | ETA: 1min | Loss: 0.142 | Loss(text/kernel): 0.094/0.048 | IoU(text/kernel): 0.874/0.759
(41/62) LR: 0.000851 | Batch: 1.779s | Total: 1min | ETA: 1min | Loss: 0.145 | Loss(text/kernel): 0.096/0.049 | IoU(text/kernel): 0.872/0.758
(61/62) LR: 0.000850 | Batch: 1.825s | Total: 2min | ETA: 0min | Loss: 0.142 | Loss(text/kernel): 0.093/0.049 | IoU(text/kernel): 0.873/0.757
Epoch: [100 | 600]
(1/62) LR: 0.000850 | Batch: 2.793s | Total: 0min | ETA: 3min | Loss: 0.116 | Loss(text/kernel): 0.072/0.044 | IoU(text/kernel): 0.898/0.773
(21/62) LR: 0.000850 | Batch: 1.937s | Total: 1min | ETA: 1min | Loss: 0.146 | Loss(text/kernel): 0.096/0.050 | IoU(text/kernel): 0.874/0.755
(41/62) LR: 0.000849 | Batch: 1.868s | Total: 1min | ETA: 1min | Loss: 0.144 | Loss(text/kernel): 0.095/0.049 | IoU(text/kernel): 0.870/0.756
(61/62) LR: 0.000849 | Batch: 1.845s | Total: 2min | ETA: 0min | Loss: 0.148 | Loss(text/kernel): 0.099/0.049 | IoU(text/kernel): 0.867/0.756
Epoch: [101 | 600]
(1/62) LR: 0.000849 | Batch: 2.688s | Total: 0min | ETA: 3min | Loss: 0.148 | Loss(text/kernel): 0.099/0.049 | IoU(text/kernel): 0.854/0.748
(21/62) LR: 0.000848 | Batch: 1.846s | Total: 1min | ETA: 1min | Loss: 0.148 | Loss(text/kernel): 0.097/0.051 | IoU(text/kernel): 0.872/0.753
(41/62) LR: 0.000848 | Batch: 1.862s | Total: 1min | ETA: 1min | Loss: 0.154 | Loss(text/kernel): 0.102/0.052 | IoU(text/kernel): 0.869/0.751
(61/62) LR: 0.000847 | Batch: 1.821s | Total: 2min | ETA: 0min | Loss: 0.153 | Loss(text/kernel): 0.102/0.052 | IoU(text/kernel): 0.867/0.750
Epoch: [102 | 600]
(1/62) LR: 0.000847 | Batch: 2.067s | Total: 0min | ETA: 2min | Loss: 0.207 | Loss(text/kernel): 0.132/0.075 | IoU(text/kernel): 0.846/0.719
(21/62) LR: 0.000847 | Batch: 1.917s | Total: 1min | ETA: 1min | Loss: 0.148 | Loss(text/kernel): 0.099/0.050 | IoU(text/kernel): 0.869/0.757
(41/62) LR: 0.000846 | Batch: 1.851s | Total: 1min | ETA: 1min | Loss: 0.145 | Loss(text/kernel): 0.096/0.049 | IoU(text/kernel): 0.870/0.757
(61/62) LR: 0.000846 | Batch: 1.852s | Total: 2min | ETA: 0min | Loss: 0.143 | Loss(text/kernel): 0.094/0.049 | IoU(text/kernel): 0.870/0.758
Epoch: [103 | 600]
(1/62) LR: 0.000846 | Batch: 2.796s | Total: 0min | ETA: 3min | Loss: 0.109 | Loss(text/kernel): 0.068/0.041 | IoU(text/kernel): 0.901/0.792
(21/62) LR: 0.000845 | Batch: 1.774s | Total: 1min | ETA: 1min | Loss: 0.134 | Loss(text/kernel): 0.088/0.047 | IoU(text/kernel): 0.880/0.764
(41/62) LR: 0.000845 | Batch: 1.775s | Total: 1min | ETA: 1min | Loss: 0.148 | Loss(text/kernel): 0.098/0.050 | IoU(text/kernel): 0.872/0.755
(61/62) LR: 0.000844 | Batch: 1.825s | Total: 2min | ETA: 0min | Loss: 0.154 | Loss(text/kernel): 0.102/0.052 | IoU(text/kernel): 0.869/0.751
Epoch: [104 | 600]
(1/62) LR: 0.000844 | Batch: 2.970s | Total: 0min | ETA: 3min | Loss: 0.131 | Loss(text/kernel): 0.083/0.048 | IoU(text/kernel): 0.875/0.750
(21/62) LR: 0.000844 | Batch: 1.892s | Total: 1min | ETA: 1min | Loss: 0.145 | Loss(text/kernel): 0.097/0.048 | IoU(text/kernel): 0.871/0.754
(41/62) LR: 0.000843 | Batch: 1.922s | Total: 1min | ETA: 1min | Loss: 0.137 | Loss(text/kernel): 0.091/0.047 | IoU(text/kernel): 0.877/0.762
(61/62) LR: 0.000843 | Batch: 1.840s | Total: 2min | ETA: 0min | Loss: 0.143 | Loss(text/kernel): 0.094/0.048 | IoU(text/kernel): 0.876/0.759
Epoch: [105 | 600]
(1/62) LR: 0.000843 | Batch: 2.283s | Total: 0min | ETA: 2min | Loss: 0.133 | Loss(text/kernel): 0.090/0.044 | IoU(text/kernel): 0.887/0.770
(21/62) LR: 0.000842 | Batch: 1.884s | Total: 1min | ETA: 1min | Loss: 0.139 | Loss(text/kernel): 0.090/0.049 | IoU(text/kernel): 0.876/0.756
(41/62) LR: 0.000842 | Batch: 1.872s | Total: 1min | ETA: 1min | Loss: 0.138 | Loss(text/kernel): 0.091/0.047 | IoU(text/kernel): 0.879/0.763
(61/62) LR: 0.000841 | Batch: 1.838s | Total: 2min | ETA: 0min | Loss: 0.139 | Loss(text/kernel): 0.092/0.047 | IoU(text/kernel): 0.877/0.763
Epoch: [106 | 600]
(1/62) LR: 0.000841 | Batch: 2.461s | Total: 0min | ETA: 3min | Loss: 0.233 | Loss(text/kernel): 0.161/0.072 | IoU(text/kernel): 0.841/0.721
(21/62) LR: 0.000841 | Batch: 1.844s | Total: 1min | ETA: 1min | Loss: 0.158 | Loss(text/kernel): 0.108/0.050 | IoU(text/kernel): 0.860/0.752
(41/62) LR: 0.000840 | Batch: 1.851s | Total: 1min | ETA: 1min | Loss: 0.157 | Loss(text/kernel): 0.108/0.049 | IoU(text/kernel): 0.861/0.752
(61/62) LR: 0.000840 | Batch: 1.823s | Total: 2min | ETA: 0min | Loss: 0.161 | Loss(text/kernel): 0.111/0.050 | IoU(text/kernel): 0.861/0.751
Epoch: [107 | 600]
(1/62) LR: 0.000839 | Batch: 2.066s | Total: 0min | ETA: 2min | Loss: 0.142 | Loss(text/kernel): 0.094/0.048 | IoU(text/kernel): 0.886/0.757
(21/62) LR: 0.000839 | Batch: 1.822s | Total: 1min | ETA: 1min | Loss: 0.155 | Loss(text/kernel): 0.104/0.051 | IoU(text/kernel): 0.868/0.750
(41/62) LR: 0.000839 | Batch: 1.811s | Total: 1min | ETA: 1min | Loss: 0.152 | Loss(text/kernel): 0.101/0.051 | IoU(text/kernel): 0.871/0.751
(61/62) LR: 0.000838 | Batch: 1.812s | Total: 2min | ETA: 0min | Loss: 0.146 | Loss(text/kernel): 0.096/0.049 | IoU(text/kernel): 0.874/0.756
Epoch: [108 | 600]
(1/62) LR: 0.000838 | Batch: 3.178s | Total: 0min | ETA: 3min | Loss: 0.133 | Loss(text/kernel): 0.088/0.045 | IoU(text/kernel): 0.871/0.761
(21/62) LR: 0.000837 | Batch: 1.882s | Total: 1min | ETA: 1min | Loss: 0.138 | Loss(text/kernel): 0.091/0.047 | IoU(text/kernel): 0.881/0.766
(41/62) LR: 0.000837 | Batch: 1.845s | Total: 1min | ETA: 1min | Loss: 0.147 | Loss(text/kernel): 0.098/0.049 | IoU(text/kernel): 0.875/0.760
(61/62) LR: 0.000836 | Batch: 1.845s | Total: 2min | ETA: 0min | Loss: 0.146 | Loss(text/kernel): 0.097/0.049 | IoU(text/kernel): 0.874/0.760
Epoch: [109 | 600]
(1/62) LR: 0.000836 | Batch: 2.696s | Total: 0min | ETA: 3min | Loss: 0.119 | Loss(text/kernel): 0.076/0.043 | IoU(text/kernel): 0.868/0.776
(21/62) LR: 0.000836 | Batch: 1.850s | Total: 1min | ETA: 1min | Loss: 0.141 | Loss(text/kernel): 0.093/0.048 | IoU(text/kernel): 0.873/0.763
(41/62) LR: 0.000835 | Batch: 1.830s | Total: 1min | ETA: 1min | Loss: 0.145 | Loss(text/kernel): 0.095/0.050 | IoU(text/kernel): 0.873/0.757
(61/62) LR: 0.000835 | Batch: 1.835s | Total: 2min | ETA: 0min | Loss: 0.148 | Loss(text/kernel): 0.098/0.050 | IoU(text/kernel): 0.872/0.755
Epoch: [110 | 600]
(1/62) LR: 0.000835 | Batch: 2.413s | Total: 0min | ETA: 2min | Loss: 0.155 | Loss(text/kernel): 0.103/0.052 | IoU(text/kernel): 0.863/0.733
(21/62) LR: 0.000834 | Batch: 1.889s | Total: 1min | ETA: 1min | Loss: 0.156 | Loss(text/kernel): 0.103/0.054 | IoU(text/kernel): 0.872/0.745
(41/62) LR: 0.000834 | Batch: 1.864s | Total: 1min | ETA: 1min | Loss: 0.142 | Loss(text/kernel): 0.092/0.049 | IoU(text/kernel): 0.878/0.758
(61/62) LR: 0.000833 | Batch: 1.822s | Total: 2min | ETA: 0min | Loss: 0.143 | Loss(text/kernel): 0.093/0.049 | IoU(text/kernel): 0.877/0.758
Epoch: [111 | 600]
(1/62) LR: 0.000833 | Batch: 2.963s | Total: 0min | ETA: 3min | Loss: 0.222 | Loss(text/kernel): 0.154/0.068 | IoU(text/kernel): 0.821/0.679
(21/62) LR: 0.000833 | Batch: 1.878s | Total: 1min | ETA: 1min | Loss: 0.130 | Loss(text/kernel): 0.082/0.047 | IoU(text/kernel): 0.879/0.758
(41/62) LR: 0.000832 | Batch: 1.833s | Total: 1min | ETA: 1min | Loss: 0.134 | Loss(text/kernel): 0.086/0.048 | IoU(text/kernel): 0.877/0.760
(61/62) LR: 0.000832 | Batch: 1.804s | Total: 2min | ETA: 0min | Loss: 0.137 | Loss(text/kernel): 0.089/0.048 | IoU(text/kernel): 0.877/0.760
Epoch: [112 | 600]
(1/62) LR: 0.000832 | Batch: 3.007s | Total: 0min | ETA: 3min | Loss: 0.108 | Loss(text/kernel): 0.065/0.043 | IoU(text/kernel): 0.882/0.779
(21/62) LR: 0.000831 | Batch: 1.874s | Total: 1min | ETA: 1min | Loss: 0.137 | Loss(text/kernel): 0.090/0.047 | IoU(text/kernel): 0.876/0.762
(41/62) LR: 0.000831 | Batch: 1.817s | Total: 1min | ETA: 1min | Loss: 0.134 | Loss(text/kernel): 0.087/0.047 | IoU(text/kernel): 0.881/0.764
(61/62) LR: 0.000830 | Batch: 1.805s | Total: 2min | ETA: 0min | Loss: 0.132 | Loss(text/kernel): 0.086/0.047 | IoU(text/kernel): 0.882/0.765
Epoch: [113 | 600]
(1/62) LR: 0.000830 | Batch: 3.384s | Total: 0min | ETA: 3min | Loss: 0.117 | Loss(text/kernel): 0.075/0.042 | IoU(text/kernel): 0.893/0.785
(21/62) LR: 0.000830 | Batch: 1.808s | Total: 1min | ETA: 1min | Loss: 0.130 | Loss(text/kernel): 0.084/0.046 | IoU(text/kernel): 0.886/0.767
(41/62) LR: 0.000829 | Batch: 1.839s | Total: 1min | ETA: 1min | Loss: 0.129 | Loss(text/kernel): 0.083/0.045 | IoU(text/kernel): 0.885/0.768
(61/62) LR: 0.000829 | Batch: 1.836s | Total: 2min | ETA: 0min | Loss: 0.133 | Loss(text/kernel): 0.086/0.046 | IoU(text/kernel): 0.882/0.765
Epoch: [114 | 600]
(1/62) LR: 0.000829 | Batch: 2.626s | Total: 0min | ETA: 3min | Loss: 0.108 | Loss(text/kernel): 0.066/0.042 | IoU(text/kernel): 0.886/0.774
(21/62) LR: 0.000828 | Batch: 1.923s | Total: 1min | ETA: 1min | Loss: 0.133 | Loss(text/kernel): 0.086/0.046 | IoU(text/kernel): 0.881/0.764
(41/62) LR: 0.000828 | Batch: 1.877s | Total: 1min | ETA: 1min | Loss: 0.134 | Loss(text/kernel): 0.086/0.048 | IoU(text/kernel): 0.883/0.764
(61/62) LR: 0.000827 | Batch: 1.870s | Total: 2min | ETA: 0min | Loss: 0.136 | Loss(text/kernel): 0.088/0.048 | IoU(text/kernel): 0.881/0.763
Epoch: [115 | 600]
(1/62) LR: 0.000827 | Batch: 2.368s | Total: 0min | ETA: 2min | Loss: 0.098 | Loss(text/kernel): 0.060/0.038 | IoU(text/kernel): 0.894/0.795
(21/62) LR: 0.000827 | Batch: 1.814s | Total: 1min | ETA: 1min | Loss: 0.134 | Loss(text/kernel): 0.087/0.047 | IoU(text/kernel): 0.880/0.765
(41/62) LR: 0.000826 | Batch: 1.825s | Total: 1min | ETA: 1min | Loss: 0.135 | Loss(text/kernel): 0.087/0.047 | IoU(text/kernel): 0.880/0.766
(61/62) LR: 0.000826 | Batch: 1.814s | Total: 2min | ETA: 0min | Loss: 0.140 | Loss(text/kernel): 0.091/0.049 | IoU(text/kernel): 0.877/0.762
Epoch: [116 | 600]
(1/62) LR: 0.000826 | Batch: 2.724s | Total: 0min | ETA: 3min | Loss: 0.123 | Loss(text/kernel): 0.076/0.047 | IoU(text/kernel): 0.859/0.760
(21/62) LR: 0.000825 | Batch: 1.949s | Total: 1min | ETA: 1min | Loss: 0.136 | Loss(text/kernel): 0.087/0.049 | IoU(text/kernel): 0.875/0.754
(41/62) LR: 0.000825 | Batch: 1.860s | Total: 1min | ETA: 1min | Loss: 0.135 | Loss(text/kernel): 0.087/0.048 | IoU(text/kernel): 0.878/0.761
(61/62) LR: 0.000824 | Batch: 1.840s | Total: 2min | ETA: 0min | Loss: 0.138 | Loss(text/kernel): 0.089/0.049 | IoU(text/kernel): 0.878/0.758
Epoch: [117 | 600]
(1/62) LR: 0.000824 | Batch: 2.730s | Total: 0min | ETA: 3min | Loss: 0.136 | Loss(text/kernel): 0.087/0.049 | IoU(text/kernel): 0.875/0.752
(21/62) LR: 0.000824 | Batch: 1.881s | Total: 1min | ETA: 1min | Loss: 0.130 | Loss(text/kernel): 0.084/0.046 | IoU(text/kernel): 0.882/0.764
(41/62) LR: 0.000823 | Batch: 1.834s | Total: 1min | ETA: 1min | Loss: 0.134 | Loss(text/kernel): 0.087/0.047 | IoU(text/kernel): 0.881/0.763
(61/62) LR: 0.000823 | Batch: 1.828s | Total: 2min | ETA: 0min | Loss: 0.131 | Loss(text/kernel): 0.085/0.046 | IoU(text/kernel): 0.881/0.765
Epoch: [118 | 600]
(1/62) LR: 0.000823 | Batch: 2.470s | Total: 0min | ETA: 3min | Loss: 0.105 | Loss(text/kernel): 0.063/0.042 | IoU(text/kernel): 0.899/0.787
(21/62) LR: 0.000822 | Batch: 1.870s | Total: 1min | ETA: 1min | Loss: 0.134 | Loss(text/kernel): 0.085/0.049 | IoU(text/kernel): 0.885/0.762
(41/62) LR: 0.000822 | Batch: 1.859s | Total: 1min | ETA: 1min | Loss: 0.130 | Loss(text/kernel): 0.083/0.048 | IoU(text/kernel): 0.886/0.766
(61/62) LR: 0.000821 | Batch: 1.841s | Total: 2min | ETA: 0min | Loss: 0.131 | Loss(text/kernel): 0.084/0.047 | IoU(text/kernel): 0.885/0.765
Epoch: [119 | 600]
(1/62) LR: 0.000821 | Batch: 2.488s | Total: 0min | ETA: 3min | Loss: 0.223 | Loss(text/kernel): 0.151/0.072 | IoU(text/kernel): 0.843/0.722
(21/62) LR: 0.000821 | Batch: 1.823s | Total: 1min | ETA: 1min | Loss: 0.129 | Loss(text/kernel): 0.083/0.047 | IoU(text/kernel): 0.889/0.771
(41/62) LR: 0.000820 | Batch: 1.838s | Total: 1min | ETA: 1min | Loss: 0.131 | Loss(text/kernel): 0.083/0.047 | IoU(text/kernel): 0.886/0.766
(61/62) LR: 0.000820 | Batch: 1.844s | Total: 2min | ETA: 0min | Loss: 0.136 | Loss(text/kernel): 0.088/0.048 | IoU(text/kernel): 0.881/0.763
Epoch: [120 | 600]
(1/62) LR: 0.000820 | Batch: 2.854s | Total: 0min | ETA: 3min | Loss: 0.115 | Loss(text/kernel): 0.071/0.044 | IoU(text/kernel): 0.890/0.763
(21/62) LR: 0.000819 | Batch: 1.899s | Total: 1min | ETA: 1min | Loss: 0.133 | Loss(text/kernel): 0.086/0.046 | IoU(text/kernel): 0.882/0.764
(41/62) LR: 0.000819 | Batch: 1.864s | Total: 1min | ETA: 1min | Loss: 0.141 | Loss(text/kernel): 0.092/0.050 | IoU(text/kernel): 0.877/0.757
(61/62) LR: 0.000818 | Batch: 1.830s | Total: 2min | ETA: 0min | Loss: 0.138 | Loss(text/kernel): 0.089/0.048 | IoU(text/kernel): 0.879/0.760
Epoch: [121 | 600]
(1/62) LR: 0.000818 | Batch: 3.639s | Total: 0min | ETA: 4min | Loss: 0.119 | Loss(text/kernel): 0.076/0.043 | IoU(text/kernel): 0.892/0.786
(21/62) LR: 0.000818 | Batch: 1.864s | Total: 1min | ETA: 1min | Loss: 0.136 | Loss(text/kernel): 0.086/0.049 | IoU(text/kernel): 0.884/0.760
(41/62) LR: 0.000817 | Batch: 1.844s | Total: 1min | ETA: 1min | Loss: 0.133 | Loss(text/kernel): 0.085/0.048 | IoU(text/kernel): 0.884/0.763
(61/62) LR: 0.000817 | Batch: 1.817s | Total: 2min | ETA: 0min | Loss: 0.133 | Loss(text/kernel): 0.085/0.047 | IoU(text/kernel): 0.885/0.765
Epoch: [122 | 600]
(1/62) LR: 0.000817 | Batch: 3.321s | Total: 0min | ETA: 3min | Loss: 0.292 | Loss(text/kernel): 0.193/0.099 | IoU(text/kernel): 0.844/0.689
(21/62) LR: 0.000816 | Batch: 1.892s | Total: 1min | ETA: 1min | Loss: 0.135 | Loss(text/kernel): 0.087/0.048 | IoU(text/kernel): 0.885/0.769
(41/62) LR: 0.000816 | Batch: 1.879s | Total: 1min | ETA: 1min | Loss: 0.138 | Loss(text/kernel): 0.089/0.049 | IoU(text/kernel): 0.882/0.765
(61/62) LR: 0.000815 | Batch: 1.850s | Total: 2min | ETA: 0min | Loss: 0.135 | Loss(text/kernel): 0.087/0.048 | IoU(text/kernel): 0.882/0.766
Epoch: [123 | 600]
(1/62) LR: 0.000815 | Batch: 3.266s | Total: 0min | ETA: 3min | Loss: 0.111 | Loss(text/kernel): 0.063/0.047 | IoU(text/kernel): 0.896/0.759
(21/62) LR: 0.000814 | Batch: 1.936s | Total: 1min | ETA: 1min | Loss: 0.127 | Loss(text/kernel): 0.082/0.045 | IoU(text/kernel): 0.885/0.774
(41/62) LR: 0.000814 | Batch: 1.854s | Total: 1min | ETA: 1min | Loss: 0.136 | Loss(text/kernel): 0.088/0.047 | IoU(text/kernel): 0.881/0.768
(61/62) LR: 0.000813 | Batch: 1.856s | Total: 2min | ETA: 0min | Loss: 0.135 | Loss(text/kernel): 0.088/0.047 | IoU(text/kernel): 0.882/0.767
Epoch: [124 | 600]
(1/62) LR: 0.000813 | Batch: 2.511s | Total: 0min | ETA: 3min | Loss: 0.121 | Loss(text/kernel): 0.077/0.044 | IoU(text/kernel): 0.884/0.776
(21/62) LR: 0.000813 | Batch: 1.833s | Total: 1min | ETA: 1min | Loss: 0.132 | Loss(text/kernel): 0.085/0.047 | IoU(text/kernel): 0.885/0.766
(41/62) LR: 0.000812 | Batch: 1.805s | Total: 1min | ETA: 1min | Loss: 0.131 | Loss(text/kernel): 0.084/0.047 | IoU(text/kernel): 0.885/0.768
(61/62) LR: 0.000812 | Batch: 1.823s | Total: 2min | ETA: 0min | Loss: 0.134 | Loss(text/kernel): 0.087/0.047 | IoU(text/kernel): 0.884/0.767
Epoch: [125 | 600]
(1/62) LR: 0.000812 | Batch: 2.503s | Total: 0min | ETA: 3min | Loss: 0.097 | Loss(text/kernel): 0.058/0.038 | IoU(text/kernel): 0.911/0.806
(21/62) LR: 0.000811 | Batch: 1.907s | Total: 1min | ETA: 1min | Loss: 0.137 | Loss(text/kernel): 0.089/0.048 | IoU(text/kernel): 0.882/0.764
(41/62) LR: 0.000811 | Batch: 1.845s | Total: 1min | ETA: 1min | Loss: 0.135 | Loss(text/kernel): 0.088/0.048 | IoU(text/kernel): 0.882/0.764
(61/62) LR: 0.000810 | Batch: 1.820s | Total: 2min | ETA: 0min | Loss: 0.133 | Loss(text/kernel): 0.086/0.047 | IoU(text/kernel): 0.882/0.767
Epoch: [126 | 600]
(1/62) LR: 0.000810 | Batch: 2.950s | Total: 0min | ETA: 3min | Loss: 0.203 | Loss(text/kernel): 0.133/0.070 | IoU(text/kernel): 0.873/0.746
(21/62) LR: 0.000810 | Batch: 1.941s | Total: 1min | ETA: 1min | Loss: 0.127 | Loss(text/kernel): 0.081/0.046 | IoU(text/kernel): 0.885/0.771
(41/62) LR: 0.000809 | Batch: 1.855s | Total: 1min | ETA: 1min | Loss: 0.132 | Loss(text/kernel): 0.086/0.047 | IoU(text/kernel): 0.883/0.767
(61/62) LR: 0.000809 | Batch: 1.835s | Total: 2min | ETA: 0min | Loss: 0.133 | Loss(text/kernel): 0.086/0.047 | IoU(text/kernel): 0.882/0.765
Epoch: [127 | 600]
(1/62) LR: 0.000809 | Batch: 2.187s | Total: 0min | ETA: 2min | Loss: 0.103 | Loss(text/kernel): 0.063/0.040 | IoU(text/kernel): 0.910/0.790
(21/62) LR: 0.000808 | Batch: 1.931s | Total: 1min | ETA: 1min | Loss: 0.128 | Loss(text/kernel): 0.081/0.047 | IoU(text/kernel): 0.886/0.766
(41/62) LR: 0.000808 | Batch: 1.873s | Total: 1min | ETA: 1min | Loss: 0.128 | Loss(text/kernel): 0.082/0.046 | IoU(text/kernel): 0.886/0.767
(61/62) LR: 0.000807 | Batch: 1.835s | Total: 2min | ETA: 0min | Loss: 0.128 | Loss(text/kernel): 0.082/0.046 | IoU(text/kernel): 0.885/0.769
Epoch: [128 | 600]
(1/62) LR: 0.000807 | Batch: 2.792s | Total: 0min | ETA: 3min | Loss: 0.119 | Loss(text/kernel): 0.077/0.042 | IoU(text/kernel): 0.896/0.778
(21/62) LR: 0.000807 | Batch: 1.979s | Total: 1min | ETA: 1min | Loss: 0.128 | Loss(text/kernel): 0.082/0.046 | IoU(text/kernel): 0.887/0.772
(41/62) LR: 0.000806 | Batch: 1.888s | Total: 1min | ETA: 1min | Loss: 0.131 | Loss(text/kernel): 0.084/0.047 | IoU(text/kernel): 0.886/0.769
(61/62) LR: 0.000806 | Batch: 1.852s | Total: 2min | ETA: 0min | Loss: 0.133 | Loss(text/kernel): 0.085/0.047 | IoU(text/kernel): 0.886/0.768
Epoch: [129 | 600]
(1/62) LR: 0.000806 | Batch: 2.488s | Total: 0min | ETA: 3min | Loss: 0.090 | Loss(text/kernel): 0.051/0.038 | IoU(text/kernel): 0.921/0.794
(21/62) LR: 0.000805 | Batch: 1.837s | Total: 1min | ETA: 1min | Loss: 0.137 | Loss(text/kernel): 0.089/0.049 | IoU(text/kernel): 0.885/0.768
(41/62) LR: 0.000805 | Batch: 1.841s | Total: 1min | ETA: 1min | Loss: 0.134 | Loss(text/kernel): 0.087/0.048 | IoU(text/kernel): 0.882/0.768
(61/62) LR: 0.000804 | Batch: 1.819s | Total: 2min | ETA: 0min | Loss: 0.133 | Loss(text/kernel): 0.086/0.047 | IoU(text/kernel): 0.882/0.769
Epoch: [130 | 600]
(1/62) LR: 0.000804 | Batch: 2.433s | Total: 0min | ETA: 3min | Loss: 0.166 | Loss(text/kernel): 0.117/0.049 | IoU(text/kernel): 0.854/0.753
(21/62) LR: 0.000804 | Batch: 1.802s | Total: 1min | ETA: 1min | Loss: 0.128 | Loss(text/kernel): 0.082/0.047 | IoU(text/kernel): 0.885/0.767
(41/62) LR: 0.000803 | Batch: 1.797s | Total: 1min | ETA: 1min | Loss: 0.127 | Loss(text/kernel): 0.081/0.046 | IoU(text/kernel): 0.886/0.770
(61/62) LR: 0.000803 | Batch: 1.830s | Total: 2min | ETA: 0min | Loss: 0.131 | Loss(text/kernel): 0.084/0.047 | IoU(text/kernel): 0.883/0.766
Epoch: [131 | 600]
(1/62) LR: 0.000803 | Batch: 2.786s | Total: 0min | ETA: 3min | Loss: 0.116 | Loss(text/kernel): 0.073/0.043 | IoU(text/kernel): 0.893/0.768
(21/62) LR: 0.000802 | Batch: 1.883s | Total: 1min | ETA: 1min | Loss: 0.131 | Loss(text/kernel): 0.085/0.046 | IoU(text/kernel): 0.883/0.771
(41/62) LR: 0.000802 | Batch: 1.816s | Total: 1min | ETA: 1min | Loss: 0.127 | Loss(text/kernel): 0.082/0.045 | IoU(text/kernel): 0.886/0.771
(61/62) LR: 0.000801 | Batch: 1.854s | Total: 2min | ETA: 0min | Loss: 0.123 | Loss(text/kernel): 0.078/0.045 | IoU(text/kernel): 0.888/0.773
Epoch: [132 | 600]
(1/62) LR: 0.000801 | Batch: 2.604s | Total: 0min | ETA: 3min | Loss: 0.096 | Loss(text/kernel): 0.056/0.039 | IoU(text/kernel): 0.909/0.793
(21/62) LR: 0.000801 | Batch: 1.798s | Total: 1min | ETA: 1min | Loss: 0.130 | Loss(text/kernel): 0.084/0.046 | IoU(text/kernel): 0.886/0.771
(41/62) LR: 0.000800 | Batch: 1.842s | Total: 1min | ETA: 1min | Loss: 0.128 | Loss(text/kernel): 0.081/0.047 | IoU(text/kernel): 0.889/0.770
(61/62) LR: 0.000800 | Batch: 1.826s | Total: 2min | ETA: 0min | Loss: 0.127 | Loss(text/kernel): 0.081/0.046 | IoU(text/kernel): 0.889/0.771
Epoch: [133 | 600]
(1/62) LR: 0.000800 | Batch: 2.476s | Total: 0min | ETA: 3min | Loss: 0.096 | Loss(text/kernel): 0.059/0.037 | IoU(text/kernel): 0.915/0.796
(21/62) LR: 0.000799 | Batch: 1.887s | Total: 1min | ETA: 1min | Loss: 0.119 | Loss(text/kernel): 0.075/0.044 | IoU(text/kernel): 0.892/0.776
(41/62) LR: 0.000799 | Batch: 1.836s | Total: 1min | ETA: 1min | Loss: 0.130 | Loss(text/kernel): 0.084/0.046 | IoU(text/kernel): 0.884/0.769
(61/62) LR: 0.000798 | Batch: 1.822s | Total: 2min | ETA: 0min | Loss: 0.130 | Loss(text/kernel): 0.084/0.046 | IoU(text/kernel): 0.883/0.769
Epoch: [134 | 600]
(1/62) LR: 0.000798 | Batch: 2.487s | Total: 0min | ETA: 3min | Loss: 0.105 | Loss(text/kernel): 0.062/0.043 | IoU(text/kernel): 0.904/0.780
(21/62) LR: 0.000798 | Batch: 1.893s | Total: 1min | ETA: 1min | Loss: 0.124 | Loss(text/kernel): 0.079/0.045 | IoU(text/kernel): 0.886/0.770
(41/62) LR: 0.000797 | Batch: 1.829s | Total: 1min | ETA: 1min | Loss: 0.123 | Loss(text/kernel): 0.078/0.045 | IoU(text/kernel): 0.888/0.773
(61/62) LR: 0.000797 | Batch: 1.834s | Total: 2min | ETA: 0min | Loss: 0.123 | Loss(text/kernel): 0.078/0.045 | IoU(text/kernel): 0.888/0.772
Epoch: [135 | 600]
(1/62) LR: 0.000797 | Batch: 3.542s | Total: 0min | ETA: 4min | Loss: 0.107 | Loss(text/kernel): 0.066/0.041 | IoU(text/kernel): 0.893/0.782
(21/62) LR: 0.000796 | Batch: 1.952s | Total: 1min | ETA: 1min | Loss: 0.134 | Loss(text/kernel): 0.085/0.050 | IoU(text/kernel): 0.888/0.765
(41/62) LR: 0.000796 | Batch: 1.850s | Total: 1min | ETA: 1min | Loss: 0.128 | Loss(text/kernel): 0.082/0.046 | IoU(text/kernel): 0.891/0.773
(61/62) LR: 0.000795 | Batch: 1.836s | Total: 2min | ETA: 0min | Loss: 0.128 | Loss(text/kernel): 0.082/0.046 | IoU(text/kernel): 0.889/0.772
Epoch: [136 | 600]
(1/62) LR: 0.000795 | Batch: 3.368s | Total: 0min | ETA: 3min | Loss: 0.098 | Loss(text/kernel): 0.059/0.039 | IoU(text/kernel): 0.912/0.799
(21/62) LR: 0.000795 | Batch: 1.790s | Total: 1min | ETA: 1min | Loss: 0.126 | Loss(text/kernel): 0.082/0.044 | IoU(text/kernel): 0.887/0.773
(41/62) LR: 0.000794 | Batch: 1.800s | Total: 1min | ETA: 1min | Loss: 0.128 | Loss(text/kernel): 0.083/0.045 | IoU(text/kernel): 0.886/0.771
(61/62) LR: 0.000794 | Batch: 1.825s | Total: 2min | ETA: 0min | Loss: 0.133 | Loss(text/kernel): 0.087/0.046 | IoU(text/kernel): 0.881/0.768
Epoch: [137 | 600]
(1/62) LR: 0.000793 | Batch: 2.385s | Total: 0min | ETA: 2min | Loss: 0.150 | Loss(text/kernel): 0.104/0.046 | IoU(text/kernel): 0.870/0.782
(21/62) LR: 0.000793 | Batch: 1.898s | Total: 1min | ETA: 1min | Loss: 0.129 | Loss(text/kernel): 0.083/0.046 | IoU(text/kernel): 0.883/0.770
(41/62) LR: 0.000792 | Batch: 1.852s | Total: 1min | ETA: 1min | Loss: 0.128 | Loss(text/kernel): 0.083/0.046 | IoU(text/kernel): 0.883/0.769
(61/62) LR: 0.000792 | Batch: 1.839s | Total: 2min | ETA: 0min | Loss: 0.132 | Loss(text/kernel): 0.086/0.046 | IoU(text/kernel): 0.883/0.768
Epoch: [138 | 600]
(1/62) LR: 0.000792 | Batch: 2.798s | Total: 0min | ETA: 3min | Loss: 0.111 | Loss(text/kernel): 0.067/0.044 | IoU(text/kernel): 0.898/0.770
(21/62) LR: 0.000791 | Batch: 1.799s | Total: 1min | ETA: 1min | Loss: 0.121 | Loss(text/kernel): 0.077/0.044 | IoU(text/kernel): 0.891/0.772
(41/62) LR: 0.000791 | Batch: 1.839s | Total: 1min | ETA: 1min | Loss: 0.120 | Loss(text/kernel): 0.077/0.043 | IoU(text/kernel): 0.892/0.777
(61/62) LR: 0.000790 | Batch: 1.831s | Total: 2min | ETA: 0min | Loss: 0.125 | Loss(text/kernel): 0.080/0.045 | IoU(text/kernel): 0.889/0.775
Epoch: [139 | 600]
(1/62) LR: 0.000790 | Batch: 2.513s | Total: 0min | ETA: 3min | Loss: 0.130 | Loss(text/kernel): 0.085/0.046 | IoU(text/kernel): 0.875/0.769
(21/62) LR: 0.000790 | Batch: 1.783s | Total: 1min | ETA: 1min | Loss: 0.125 | Loss(text/kernel): 0.079/0.046 | IoU(text/kernel): 0.886/0.768
(41/62) LR: 0.000789 | Batch: 1.835s | Total: 1min | ETA: 1min | Loss: 0.126 | Loss(text/kernel): 0.080/0.045 | IoU(text/kernel): 0.887/0.772
(61/62) LR: 0.000789 | Batch: 1.833s | Total: 2min | ETA: 0min | Loss: 0.124 | Loss(text/kernel): 0.079/0.045 | IoU(text/kernel): 0.887/0.772
Epoch: [140 | 600]
(1/62) LR: 0.000789 | Batch: 2.441s | Total: 0min | ETA: 3min | Loss: 0.107 | Loss(text/kernel): 0.067/0.040 | IoU(text/kernel): 0.894/0.788
(21/62) LR: 0.000788 | Batch: 1.809s | Total: 1min | ETA: 1min | Loss: 0.129 | Loss(text/kernel): 0.083/0.045 | IoU(text/kernel): 0.885/0.773
(41/62) LR: 0.000788 | Batch: 1.853s | Total: 1min | ETA: 1min | Loss: 0.125 | Loss(text/kernel): 0.080/0.045 | IoU(text/kernel): 0.887/0.772
(61/62) LR: 0.000787 | Batch: 1.814s | Total: 2min | ETA: 0min | Loss: 0.130 | Loss(text/kernel): 0.084/0.046 | IoU(text/kernel): 0.885/0.770
Epoch: [141 | 600]
(1/62) LR: 0.000787 | Batch: 2.685s | Total: 0min | ETA: 3min | Loss: 0.121 | Loss(text/kernel): 0.079/0.042 | IoU(text/kernel): 0.880/0.780
(21/62) LR: 0.000787 | Batch: 1.826s | Total: 1min | ETA: 1min | Loss: 0.131 | Loss(text/kernel): 0.085/0.046 | IoU(text/kernel): 0.886/0.775
(41/62) LR: 0.000786 | Batch: 1.843s | Total: 1min | ETA: 1min | Loss: 0.138 | Loss(text/kernel): 0.091/0.047 | IoU(text/kernel): 0.881/0.767
(61/62) LR: 0.000786 | Batch: 1.813s | Total: 2min | ETA: 0min | Loss: 0.140 | Loss(text/kernel): 0.092/0.048 | IoU(text/kernel): 0.880/0.767
Epoch: [142 | 600]
(1/62) LR: 0.000786 | Batch: 3.270s | Total: 0min | ETA: 3min | Loss: 0.127 | Loss(text/kernel): 0.079/0.047 | IoU(text/kernel): 0.874/0.762
(21/62) LR: 0.000785 | Batch: 1.894s | Total: 1min | ETA: 1min | Loss: 0.144 | Loss(text/kernel): 0.096/0.048 | IoU(text/kernel): 0.872/0.759
(41/62) LR: 0.000785 | Batch: 1.820s | Total: 1min | ETA: 1min | Loss: 0.134 | Loss(text/kernel): 0.088/0.046 | IoU(text/kernel): 0.878/0.765
(61/62) LR: 0.000784 | Batch: 1.837s | Total: 2min | ETA: 0min | Loss: 0.132 | Loss(text/kernel): 0.087/0.046 | IoU(text/kernel): 0.880/0.769
Epoch: [143 | 600]
(1/62) LR: 0.000784 | Batch: 2.961s | Total: 0min | ETA: 3min | Loss: 0.114 | Loss(text/kernel): 0.071/0.043 | IoU(text/kernel): 0.893/0.777
(21/62) LR: 0.000784 | Batch: 1.863s | Total: 1min | ETA: 1min | Loss: 0.125 | Loss(text/kernel): 0.081/0.045 | IoU(text/kernel): 0.890/0.776
(41/62) LR: 0.000783 | Batch: 1.845s | Total: 1min | ETA: 1min | Loss: 0.127 | Loss(text/kernel): 0.082/0.045 | IoU(text/kernel): 0.889/0.774
(61/62) LR: 0.000783 | Batch: 1.838s | Total: 2min | ETA: 0min | Loss: 0.125 | Loss(text/kernel): 0.081/0.045 | IoU(text/kernel): 0.889/0.774
Epoch: [144 | 600]
(1/62) LR: 0.000783 | Batch: 2.549s | Total: 0min | ETA: 3min | Loss: 0.110 | Loss(text/kernel): 0.067/0.043 | IoU(text/kernel): 0.900/0.778
(21/62) LR: 0.000782 | Batch: 1.855s | Total: 1min | ETA: 1min | Loss: 0.133 | Loss(text/kernel): 0.086/0.047 | IoU(text/kernel): 0.885/0.768
(41/62) LR: 0.000782 | Batch: 1.833s | Total: 1min | ETA: 1min | Loss: 0.128 | Loss(text/kernel): 0.082/0.046 | IoU(text/kernel): 0.889/0.771
(61/62) LR: 0.000781 | Batch: 1.830s | Total: 2min | ETA: 0min | Loss: 0.126 | Loss(text/kernel): 0.080/0.046 | IoU(text/kernel): 0.889/0.772
Epoch: [145 | 600]
(1/62) LR: 0.000781 | Batch: 2.829s | Total: 0min | ETA: 3min | Loss: 0.113 | Loss(text/kernel): 0.072/0.041 | IoU(text/kernel): 0.894/0.790
(21/62) LR: 0.000781 | Batch: 1.926s | Total: 1min | ETA: 1min | Loss: 0.124 | Loss(text/kernel): 0.081/0.044 | IoU(text/kernel): 0.889/0.776
(41/62) LR: 0.000780 | Batch: 1.846s | Total: 1min | ETA: 1min | Loss: 0.126 | Loss(text/kernel): 0.081/0.045 | IoU(text/kernel): 0.890/0.776
(61/62) LR: 0.000780 | Batch: 1.845s | Total: 2min | ETA: 0min | Loss: 0.129 | Loss(text/kernel): 0.083/0.046 | IoU(text/kernel): 0.889/0.772
Epoch: [146 | 600]
(1/62) LR: 0.000780 | Batch: 3.290s | Total: 0min | ETA: 3min | Loss: 0.189 | Loss(text/kernel): 0.122/0.067 | IoU(text/kernel): 0.877/0.742
(21/62) LR: 0.000779 | Batch: 1.900s | Total: 1min | ETA: 1min | Loss: 0.118 | Loss(text/kernel): 0.075/0.043 | IoU(text/kernel): 0.898/0.781
(41/62) LR: 0.000779 | Batch: 1.840s | Total: 1min | ETA: 1min | Loss: 0.116 | Loss(text/kernel): 0.074/0.042 | IoU(text/kernel): 0.897/0.782
(61/62) LR: 0.000778 | Batch: 1.845s | Total: 2min | ETA: 0min | Loss: 0.122 | Loss(text/kernel): 0.078/0.044 | IoU(text/kernel): 0.894/0.778
Epoch: [147 | 600]
(1/62) LR: 0.000778 | Batch: 2.693s | Total: 0min | ETA: 3min | Loss: 0.098 | Loss(text/kernel): 0.062/0.036 | IoU(text/kernel): 0.906/0.798
(21/62) LR: 0.000778 | Batch: 1.850s | Total: 1min | ETA: 1min | Loss: 0.124 | Loss(text/kernel): 0.078/0.046 | IoU(text/kernel): 0.892/0.775
(41/62) LR: 0.000777 | Batch: 1.836s | Total: 1min | ETA: 1min | Loss: 0.123 | Loss(text/kernel): 0.078/0.045 | IoU(text/kernel): 0.891/0.775
(61/62) LR: 0.000777 | Batch: 1.824s | Total: 2min | ETA: 0min | Loss: 0.126 | Loss(text/kernel): 0.080/0.046 | IoU(text/kernel): 0.890/0.772
Epoch: [148 | 600]
(1/62) LR: 0.000777 | Batch: 2.620s | Total: 0min | ETA: 3min | Loss: 0.096 | Loss(text/kernel): 0.056/0.039 | IoU(text/kernel): 0.918/0.796
(21/62) LR: 0.000776 | Batch: 1.809s | Total: 1min | ETA: 1min | Loss: 0.122 | Loss(text/kernel): 0.078/0.044 | IoU(text/kernel): 0.893/0.777
(41/62) LR: 0.000776 | Batch: 1.782s | Total: 1min | ETA: 1min | Loss: 0.123 | Loss(text/kernel): 0.078/0.045 | IoU(text/kernel): 0.893/0.775
(61/62) LR: 0.000775 | Batch: 1.835s | Total: 2min | ETA: 0min | Loss: 0.123 | Loss(text/kernel): 0.078/0.045 | IoU(text/kernel): 0.893/0.775