viz_loss.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8fbccd1b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import re\n",
    "from statistics import mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a5cf27db",
   "metadata": {},
   "outputs": [],
   "source": [
    "d = {\n",
    "    'base_50': '/datasets/home/37/137/ziw029/T5_SQuAD_Prompt_Tuning/prompt_tuning/SQuAD/t5-base/50/2022-02-04-041120-final/log.txt',\n",
    "    'base_20': '/datasets/home/37/137/ziw029/T5_SQuAD_Prompt_Tuning/prompt_tuning/SQuAD/t5-base/20/2022-02-04-155249/log.txt',\n",
    "    'base_10': '/datasets/home/37/137/ziw029/T5_SQuAD_Prompt_Tuning/prompt_tuning/SQuAD/t5-base/10/2022-02-04-155344/log.txt',\n",
    "    'base_5': '/datasets/home/37/137/ziw029/T5_SQuAD_Prompt_Tuning/prompt_tuning/SQuAD/t5-base/5/2022-02-04-155354/log.txt',\n",
    "    'base_1': '/datasets/home/37/137/ziw029/T5_SQuAD_Prompt_Tuning/prompt_tuning/SQuAD/t5-base/1/2022-02-04-155403/log.txt'\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ca7ddfbc",
   "metadata": {},
   "outputs": [],
   "source": [
    "d = {\n",
    "    'small_50': '/datasets/home/37/137/ziw029/T5_SQuAD_Prompt_Tuning/prompt_tuning/SQuAD/t5-small/50/2022-02-04-221055/log.txt',\n",
    "    'small_20': '/datasets/home/37/137/ziw029/T5_SQuAD_Prompt_Tuning/prompt_tuning/SQuAD/t5-small/20/2022-02-04-221103/log.txt',\n",
    "    'small_10': '/datasets/home/37/137/ziw029/T5_SQuAD_Prompt_Tuning/prompt_tuning/SQuAD/t5-small/10/2022-02-04-221112/log.txt',\n",
    "    'small_5': '/datasets/home/37/137/ziw029/T5_SQuAD_Prompt_Tuning/prompt_tuning/SQuAD/t5-small/5/2022-02-04-221121/log.txt',\n",
    "    'small_1': '/datasets/home/37/137/ziw029/T5_SQuAD_Prompt_Tuning/prompt_tuning/SQuAD/t5-small/1/2022-02-04-221142/log.txt'\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c60662d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "d = {\n",
    "    'base_50': '/datasets/home/37/137/ziw029/T5_SQuAD_Prompt_Tuning/prompt_tuning/SQuAD/t5-base/50/2022-02-04-041120-final/log.txt',\n",
    "    'base_20': '/datasets/home/37/137/ziw029/T5_SQuAD_Prompt_Tuning/prompt_tuning/SQuAD/t5-base/20/2022-02-04-155249/log.txt',\n",
    "    'base_10': '/datasets/home/37/137/ziw029/T5_SQuAD_Prompt_Tuning/prompt_tuning/SQuAD/t5-base/10/2022-02-04-155344/log.txt',\n",
    "    'base_5': '/datasets/home/37/137/ziw029/T5_SQuAD_Prompt_Tuning/prompt_tuning/SQuAD/t5-base/5/2022-02-04-155354/log.txt',\n",
    "    'base_1': '/datasets/home/37/137/ziw029/T5_SQuAD_Prompt_Tuning/prompt_tuning/SQuAD/t5-base/1/2022-02-04-155403/log.txt',\n",
    "    'small_50': '/datasets/home/37/137/ziw029/T5_SQuAD_Prompt_Tuning/prompt_tuning/SQuAD/t5-small/50/2022-02-04-221055/log.txt',\n",
    "    'small_20': '/datasets/home/37/137/ziw029/T5_SQuAD_Prompt_Tuning/prompt_tuning/SQuAD/t5-small/20/2022-02-04-221103/log.txt',\n",
    "    'small_10': '/datasets/home/37/137/ziw029/T5_SQuAD_Prompt_Tuning/prompt_tuning/SQuAD/t5-small/10/2022-02-04-221112/log.txt',\n",
    "    'small_5': '/datasets/home/37/137/ziw029/T5_SQuAD_Prompt_Tuning/prompt_tuning/SQuAD/t5-small/5/2022-02-04-221121/log.txt',\n",
    "    'small_1': '/datasets/home/37/137/ziw029/T5_SQuAD_Prompt_Tuning/prompt_tuning/SQuAD/t5-small/1/2022-02-04-221142/log.txt'\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "2be8a7b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_epoch_loss(file):\n",
    "    re.sub(\"[^\\d\\.]\", \"\", \"$1,999,888.77\")\n",
    "    epoch, loss = [], []\n",
    "    with open(file, 'r') as f:\n",
    "        lines = f.readlines()\n",
    "        for line in lines:\n",
    "            if 'learning_rate' in line:\n",
    "                line = line.split(':')\n",
    "                loss.append(float(line[1][1:7].replace(',', '').replace(' ', '').replace(\"'\", '')))\n",
    "                epoch.append(float(line[3][1:5].replace(',', '').replace(' ', '').replace('}', '')))\n",
    "    return epoch, loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a8b9202d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly.graph_objects as go\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "bf7ce776",
   "metadata": {},
   "outputs": [],
   "source": [
    "def smooth(x, y, span=4):\n",
    "    x_new, y_new = [], []\n",
    "    for i in range(0, len(y), span):\n",
    "        x_new.append(mean(x[i:i+span]))\n",
    "        y_new.append(mean(y[i:i+span]))\n",
    "    return x_new, y_new"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6872ec1f",
   "metadata": {},
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                       {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('e6f21635-57f5-45a2-b748-3edeec258ce5');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
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       "            Plotly.purge(gd);\n",
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       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt = go.Figure()\n",
    "for key in d:\n",
    "    x, y = get_epoch_loss(d[key])\n",
    "    x, y = smooth(x, y)\n",
    "#     plt.add_trace(go.Scatter(x=x, y=y, name=\"spline\",\n",
    "#                     text=[\"tweak line smoothness<br>with 'smoothing' in line object\"],\n",
    "#                     hoverinfo='text+name',\n",
    "#                     line_shape='spline'))\n",
    "    plt.add_trace(go.Scatter(x=x, y=y,name=key,))\n",
    "plt.update_traces(mode=\"lines\", hovertemplate=None)\n",
    "plt.update_layout(hovermode=\"x\")\n",
    "plt.update_xaxes(title_text='Epoch')\n",
    "plt.update_yaxes(title_text='Loss')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2b7001d6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c9db75ce",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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