File size: 151,655 Bytes
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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\kimi\\AppData\\Local\\Temp\\ipykernel_27668\\1359688358.py:4: MatplotlibDeprecationWarning: The seaborn styles shipped by Matplotlib are deprecated since 3.6, as they no longer correspond to the styles shipped by seaborn. However, they will remain available as 'seaborn-v0_8-<style>'. Alternatively, directly use the seaborn API instead.\n",
      "  plt.style.use('seaborn-whitegrid')\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "plt.style.use('seaborn-whitegrid')\n",
    "\n",
    "version = 3\n",
    "\n",
    "# Read the metrics from the CSV file\n",
    "metrics_df = pd.read_csv(f'./output/version_{version}/training_metrics_{version}.csv')\n",
    "\n",
    "# Plotting Training vs Validation Loss\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.plot(metrics_df['epoch'], metrics_df['train_loss'], label='Training Loss')\n",
    "plt.title('Training Loss (DistilBERT)')\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Loss')\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from tensorflow.python.summary.summary_iterator import summary_iterator\n",
    "\n",
    "# Path to your TensorFlow event file\n",
    "file_path = f\"./logs/version_{version}/events.out.tfevents.1703420244.DESKTOP-GO6MFA2.19124.0\"  # Replace with your file path\n",
    "\n",
    "# Initialize lists to store the extracted data\n",
    "steps = []\n",
    "values = []\n",
    "tags = []\n",
    "\n",
    "# Extract data from the TensorFlow event file\n",
    "for e in summary_iterator(file_path):\n",
    "    for v in e.summary.value:\n",
    "        if v.HasField(\"simple_value\"):\n",
    "            steps.append(e.step)\n",
    "            values.append(v.simple_value)\n",
    "            tags.append(v.tag)\n",
    "\n",
    "# Create a DataFrame from the extracted data\n",
    "df = pd.DataFrame({\"Step\": steps, \"Value\": values, \"Tag\": tags})\n",
    "\n",
    "# Separate the DataFrame into training and validation DataFrames\n",
    "train_df = df[df[\"Tag\"].str.contains(\"train\")]\n",
    "val_df = df[df[\"Tag\"].str.contains(\"eval\")]\n",
    "\n",
    "\n",
    "plt.figure(figsize=(12, 6))\n",
    "# Plot Training vs Validation Loss\n",
    "plt.plot(\n",
    "    train_df[train_df[\"Tag\"].str.contains(\"loss\")][\"Step\"],\n",
    "    train_df[train_df[\"Tag\"].str.contains(\"loss\")][\"Value\"],\n",
    "    label=\"Train Loss\",\n",
    ")\n",
    "plt.plot(\n",
    "    val_df[val_df[\"Tag\"].str.contains(\"loss\")][\"Step\"],\n",
    "    val_df[val_df[\"Tag\"].str.contains(\"loss\")][\"Value\"],\n",
    "    label=\"Validation Loss\",\n",
    ")\n",
    "plt.title(\"Training vs Validation Loss (DistilBERT)\")\n",
    "plt.xlabel(\"Epoch\")\n",
    "plt.ylabel(\"Loss\")\n",
    "plt.legend()\n",
    "\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "\n",
    "# Load confusion matrix from CSV\n",
    "data = pd.read_csv(\n",
    "    f\"./output/version_{version}/confusion_matrix_data_{version}.csv\"\n",
    ")\n",
    "\n",
    "# Plotting\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(data, annot=True, fmt=\"d\", cmap=\"Blues\")\n",
    "plt.title(\"Confusion Matrix\")\n",
    "plt.ylabel(\"True label\")\n",
    "plt.xlabel(\"Predicted label\")\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "torch",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}