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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_27536\\2878741340.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('Steps')\n",
    "plt.ylabel('Loss')\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From c:\\Users\\kimi\\anaconda3\\envs\\torch\\lib\\site-packages\\tensorflow\\python\\summary\\summary_iterator.py:27: tf_record_iterator (from tensorflow.python.lib.io.tf_record) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use eager execution and: \n",
      "`tf.data.TFRecordDataset(path)`\n"
     ]
    },
    {
     "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(\"Steps\")\n",
    "plt.ylabel(\"Loss\")\n",
    "plt.legend()\n",
    "\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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 (DistilBERT, Test Set)\")\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
}