diff --git "a/notebooks/00_Data Analysis.ipynb" "b/notebooks/00_Data Analysis.ipynb"
--- "a/notebooks/00_Data Analysis.ipynb"
+++ "b/notebooks/00_Data Analysis.ipynb"
@@ -1 +1 @@
-{"cells":[{"cell_type":"code","execution_count":1,"metadata":{"executionInfo":{"elapsed":476,"status":"ok","timestamp":1720679526275,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"uWKRSV6eZsCn"},"outputs":[],"source":["%load_ext autoreload\n","%autoreload 2"]},{"cell_type":"code","execution_count":2,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{"byteLimit":2048000,"rowLimit":10000},"inputWidgets":{},"nuid":"eb33b19f-1206-41ee-84e2-e6258a12eef7","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2534,"status":"ok","timestamp":1720679529344,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"xwFh14uiZBrI","outputId":"d767799c-34c2-46a5-f052-378146a55321"},"outputs":[],"source":["from pathlib import Path\n","\n","if \"workding_dir\" not in locals():\n","    try:\n","        from google.colab import drive\n","\n","        drive.mount(\"/content/drive\")\n","        workding_dir = \"/content/drive/MyDrive/logical-reasoning/\"\n","    except ModuleNotFoundError:\n","        workding_dir = str(Path.cwd().parent)"]},{"cell_type":"code","execution_count":3,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{"byteLimit":2048000,"rowLimit":10000},"inputWidgets":{},"nuid":"6d394937-6c99-4a7c-9d32-7600a280032f","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1720679529345,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"G5pNu3zgZBrL","outputId":"160a554f-fb08-4aa0-bc00-0422fb7c1fac"},"outputs":[{"name":"stdout","output_type":"stream","text":["workding dir: /Users/inflaton/code/engd/projects/logical-reasoning\n"]}],"source":["import os\n","import sys\n","from pathlib import Path\n","\n","os.chdir(workding_dir)\n","sys.path.append(workding_dir)\n","print(\"workding dir:\", workding_dir)"]},{"cell_type":"code","execution_count":4,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["working dir: /Users/inflaton/code/engd/projects/logical-reasoning\n"]}],"source":["# haotian comp\n","import os\n","import sys\n","from pathlib import Path\n","\n","if \"workding_dir\" not in locals():\n","    workding_dir = str(Path.cwd().parent)\n","os.chdir(workding_dir)\n","sys.path.append(workding_dir)\n","print(\"working dir:\", workding_dir)"]},{"cell_type":"code","execution_count":5,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{"byteLimit":2048000,"rowLimit":10000},"inputWidgets":{},"nuid":"9f67ec60-2f24-411c-84eb-0dd664b44775","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1720679529345,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"hPCC-6m7ZBrM","outputId":"c7aa2c96-5e99-440a-c148-201d79465ff9"},"outputs":[{"name":"stdout","output_type":"stream","text":["loading env vars from: /Users/inflaton/code/engd/projects/logical-reasoning/.env\n"]},{"data":{"text/plain":["True"]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["from dotenv import find_dotenv, load_dotenv\n","\n","found_dotenv = find_dotenv(\".env\")\n","\n","if len(found_dotenv) == 0:\n","    found_dotenv = find_dotenv(\".env.example\")\n","print(f\"loading env vars from: {found_dotenv}\")\n","load_dotenv(found_dotenv, override=True)"]},{"cell_type":"code","execution_count":6,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{"byteLimit":2048000,"rowLimit":10000},"inputWidgets":{},"nuid":"f1597656-8042-4878-9d3b-9ebfb8dd86dc","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1720679529345,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"1M3IraVtZBrM","outputId":"29ab35f6-2970-4ade-d85d-3174acf8cda0"},"outputs":[],"source":["model_orders = {\n","    \"Mistral-7B-v0.3-Chinese-Chat\": 5,\n","    \"internlm2_5-7b-chat-1m\": 10,\n","    \"Qwen2-7B-Instruct\": 20,\n","    \"Llama3.1-8B-Chinese-Chat\": 30,\n","    \"Llama3.1-70B-Chinese-Chat\": 40,\n","    \"Qwen2-72B-Instruct\": 50,\n","}"]},{"cell_type":"code","execution_count":7,"metadata":{},"outputs":[],"source":["markers = [\n","    \"o\",\n","    \"x\",\n","    \"^\",\n","    \"s\",\n","    \"d\",\n","    \"P\",\n","    \"X\",\n","    \"*\",\n","    \"v\",\n","    \">\",\n","    \"<\",\n","    \"p\",\n","    \"h\",\n","    \"H\",\n","    \"+\",\n","    \"|\",\n","    \"_\",\n","]\n","model_markers = {k: markers[i] for i, k in enumerate(model_orders.keys())}"]},{"cell_type":"code","execution_count":8,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>epoch</th>\n","      <th>model</th>\n","      <th>run</th>\n","      <th>accuracy</th>\n","      <th>precision</th>\n","      <th>recall</th>\n","      <th>f1</th>\n","      <th>ratio_valid_classifications</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0.0</td>\n","      <td>Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat_torc...</td>\n","      <td>0.711333</td>\n","      <td>0.702205</td>\n","      <td>0.711333</td>\n","      <td>0.689497</td>\n","      <td>0.004</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0.2</td>\n","      <td>Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/chec...</td>\n","      <td>0.702000</td>\n","      <td>0.793273</td>\n","      <td>0.702000</td>\n","      <td>0.734271</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>0.4</td>\n","      <td>Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/chec...</td>\n","      <td>0.742000</td>\n","      <td>0.789829</td>\n","      <td>0.742000</td>\n","      <td>0.753668</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>0.6</td>\n","      <td>Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/chec...</td>\n","      <td>0.659667</td>\n","      <td>0.792340</td>\n","      <td>0.659667</td>\n","      <td>0.706754</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>0.8</td>\n","      <td>Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/chec...</td>\n","      <td>0.714667</td>\n","      <td>0.786134</td>\n","      <td>0.714667</td>\n","      <td>0.740468</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>1.2</td>\n","      <td>Qwen2-72B-Instruct</td>\n","      <td>Qwen/Qwen2-72B-Instruct/checkpoint-210_torch.b...</td>\n","      <td>0.763000</td>\n","      <td>0.831888</td>\n","      <td>0.763000</td>\n","      <td>0.790108</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>1.4</td>\n","      <td>Qwen2-72B-Instruct</td>\n","      <td>Qwen/Qwen2-72B-Instruct/checkpoint-245_torch.b...</td>\n","      <td>0.765667</td>\n","      <td>0.828827</td>\n","      <td>0.765667</td>\n","      <td>0.790627</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>1.6</td>\n","      <td>Qwen2-72B-Instruct</td>\n","      <td>Qwen/Qwen2-72B-Instruct/checkpoint-280_torch.b...</td>\n","      <td>0.769333</td>\n","      <td>0.829280</td>\n","      <td>0.769333</td>\n","      <td>0.793017</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>1.8</td>\n","      <td>Qwen2-72B-Instruct</td>\n","      <td>Qwen/Qwen2-72B-Instruct/checkpoint-315_torch.b...</td>\n","      <td>0.784000</td>\n","      <td>0.835435</td>\n","      <td>0.784000</td>\n","      <td>0.804195</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>2.0</td>\n","      <td>Qwen2-72B-Instruct</td>\n","      <td>Qwen/Qwen2-72B-Instruct/checkpoint-350_torch.b...</td>\n","      <td>0.773667</td>\n","      <td>0.833015</td>\n","      <td>0.773667</td>\n","      <td>0.797366</td>\n","      <td>1.000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>66 rows × 8 columns</p>\n","</div>"],"text/plain":["    epoch                         model  \\\n","0     0.0  Mistral-7B-v0.3-Chinese-Chat   \n","1     0.2  Mistral-7B-v0.3-Chinese-Chat   \n","2     0.4  Mistral-7B-v0.3-Chinese-Chat   \n","3     0.6  Mistral-7B-v0.3-Chinese-Chat   \n","4     0.8  Mistral-7B-v0.3-Chinese-Chat   \n","..    ...                           ...   \n","6     1.2            Qwen2-72B-Instruct   \n","7     1.4            Qwen2-72B-Instruct   \n","8     1.6            Qwen2-72B-Instruct   \n","9     1.8            Qwen2-72B-Instruct   \n","10    2.0            Qwen2-72B-Instruct   \n","\n","                                                  run  accuracy  precision  \\\n","0   shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat_torc...  0.711333   0.702205   \n","1   shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/chec...  0.702000   0.793273   \n","2   shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/chec...  0.742000   0.789829   \n","3   shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/chec...  0.659667   0.792340   \n","4   shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/chec...  0.714667   0.786134   \n","..                                                ...       ...        ...   \n","6   Qwen/Qwen2-72B-Instruct/checkpoint-210_torch.b...  0.763000   0.831888   \n","7   Qwen/Qwen2-72B-Instruct/checkpoint-245_torch.b...  0.765667   0.828827   \n","8   Qwen/Qwen2-72B-Instruct/checkpoint-280_torch.b...  0.769333   0.829280   \n","9   Qwen/Qwen2-72B-Instruct/checkpoint-315_torch.b...  0.784000   0.835435   \n","10  Qwen/Qwen2-72B-Instruct/checkpoint-350_torch.b...  0.773667   0.833015   \n","\n","      recall        f1  ratio_valid_classifications  \n","0   0.711333  0.689497                        0.004  \n","1   0.702000  0.734271                        1.000  \n","2   0.742000  0.753668                        1.000  \n","3   0.659667  0.706754                        1.000  \n","4   0.714667  0.740468                        1.000  \n","..       ...       ...                          ...  \n","6   0.763000  0.790108                        1.000  \n","7   0.765667  0.790627                        1.000  \n","8   0.769333  0.793017                        1.000  \n","9   0.784000  0.804195                        1.000  \n","10  0.773667  0.797366                        1.000  \n","\n","[66 rows x 8 columns]"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["import pandas as pd\n","\n","perf_df = None\n","model_perf_dfs = {}\n","for model_name in model_orders.keys():\n","    metrics_csv = f\"data/{model_name}_metrics.csv\"\n","    if not Path(metrics_csv).exists():\n","        continue\n","    df = pd.read_csv(metrics_csv)\n","    model_perf_dfs[model_name] = df\n","    perf_df = df if perf_df is None else pd.concat([perf_df, df])\n","\n","perf_df"]},{"cell_type":"code","execution_count":9,"metadata":{},"outputs":[],"source":["import matplotlib.pyplot as plt\n","from matplotlib.ticker import MultipleLocator\n","\n","def plot_perf(\n","    model_perf_dfs,\n","    model_markers,\n","    x_major_locator=0.2,\n","    y_offset=0.005,\n","):\n","    fig, ax = plt.subplots(1, 1, figsize=(12, 6))\n","\n","    for model_name, perf_df in model_perf_dfs.items():\n","        # Ensure the lengths of perf_df[\"epoch\"], perf_df[\"accuracy\"], and perf_df[\"f1\"] are the same\n","        min_length = min(len(perf_df[\"epoch\"]), len(perf_df[\"accuracy\"]), len(perf_df[\"f1\"]))\n","        perf_df = perf_df.iloc[:min_length]\n","\n","        (line,) = ax.plot(\n","            perf_df[\"epoch\"],\n","            perf_df[\"f1\"],\n","            marker=model_markers[model_name],\n","            label=model_name,\n","        )\n","\n","        line_color = line.get_color()\n","\n","        best_f1 = perf_df[\"f1\"].idxmax()\n","        print(\n","            f\"Best F1 for {model_name} @ {perf_df['epoch'].iloc[best_f1]:.2f} epoch: {perf_df['f1'].iloc[best_f1]}\"\n","        )\n","        ax.annotate(\n","            f\"{perf_df['f1'].iloc[best_f1]*100:.2f}%\",\n","            (perf_df[\"epoch\"].iloc[best_f1], perf_df[\"f1\"].iloc[best_f1]),\n","            ha=\"center\",\n","            va=\"bottom\",\n","            xytext=(0, 0),\n","            textcoords=\"offset points\",\n","            fontsize=10,\n","            color=line_color,\n","        )\n","\n","    # Set y-axis limit\n","    y_scales = ax.get_ylim()\n","    ax.set_ylim(y_scales[0], y_scales[1] + y_offset)\n","\n","    # Add title and labels\n","    ax.set_xlabel(\"Epoch (0: base model, 0.2 - 2: fine-tuned models)\")\n","    ax.set_ylabel(\"F1 Score\")\n","\n","    # Set x-axis grid spacing to 0.2\n","    ax.xaxis.set_major_locator(MultipleLocator(x_major_locator))\n","    ax.set_title(\n","        \"Performance Analysis Across Checkpoints for Models\"\n","    )\n","\n","    # Rotate x labels\n","    plt.xticks(rotation=0)\n","    plt.grid(True)\n","    # plt.tight_layout()\n","\n","    # Set legend at the right to avoid overlapping with lines\n","    plt.legend(loc=\"center left\", bbox_to_anchor=(1.0, 0.5))\n","\n","    plt.show()"]},{"cell_type":"code","execution_count":10,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Best F1 for Mistral-7B-v0.3-Chinese-Chat @ 1.40 epoch: 0.7648234347578796\n","Best F1 for internlm2_5-7b-chat-1m @ 0.80 epoch: 0.8028064320197301\n","Best F1 for Qwen2-7B-Instruct @ 0.40 epoch: 0.7748745026535183\n","Best F1 for Llama3.1-8B-Chinese-Chat @ 1.00 epoch: 0.7924651054056209\n","Best F1 for Llama3.1-70B-Chinese-Chat @ 1.00 epoch: 0.8076868978089201\n","Best F1 for Qwen2-72B-Instruct @ 1.80 epoch: 0.804194683154365\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plot_perf(model_perf_dfs, model_markers)"]},{"cell_type":"code","execution_count":11,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 11 entries, 0 to 10\n","Data columns (total 8 columns):\n"," #   Column                       Non-Null Count  Dtype  \n","---  ------                       --------------  -----  \n"," 0   epoch                        11 non-null     float64\n"," 1   model                        11 non-null     object \n"," 2   run                          11 non-null     object \n"," 3   accuracy                     11 non-null     float64\n"," 4   precision                    11 non-null     float64\n"," 5   recall                       11 non-null     float64\n"," 6   f1                           11 non-null     float64\n"," 7   ratio_valid_classifications  11 non-null     float64\n","dtypes: float64(6), object(2)\n","memory usage: 836.0+ bytes\n"]}],"source":["df_openai = pd.read_csv(\"data/openai_results.csv\")\n","df.info()"]},{"cell_type":"code","execution_count":12,"metadata":{},"outputs":[{"data":{"text/plain":["Index(['epoch', 'model', 'run', 'accuracy', 'precision', 'recall', 'f1',\n","       'ratio_valid_classifications'],\n","      dtype='object')"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["df.columns"]},{"cell_type":"code","execution_count":13,"metadata":{},"outputs":[],"source":["df_best = df_openai[\n","    [\n","        \"text\",\n","        \"label\",\n","        \"title\",\n","        \"puzzle\",\n","        \"truth\",\n","    ]\n","].copy()"]},{"cell_type":"code","execution_count":14,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["loading /Users/inflaton/code/engd/projects/logical-reasoning/llm_toolkit/logical_reasoning_utils.py\n"]}],"source":["from llm_toolkit.logical_reasoning_utils import *"]},{"cell_type":"code","execution_count":15,"metadata":{},"outputs":[],"source":["df = pd.read_csv(\"data/internlm2_5-7b-chat-1m_results.csv\")\n","df_best[\"internlm2_5-7b-chat-1m\"] = df[\n","    \"internlm/internlm2_5-7b-chat-1m/checkpoint-140_torch.bfloat16_lf\"\n","].apply(extract_answer)"]},{"cell_type":"code","execution_count":16,"metadata":{},"outputs":[],"source":["df = pd.read_csv(\"data/Mistral-7B-v0.3-Chinese-Chat_results.csv\")\n","df_best[\"Mistral-7B-v0.3-Chinese-Chat\"] = df[\n","    \"shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-245_torch.float16_lf\"\n","].apply(extract_answer)"]},{"cell_type":"code","execution_count":17,"metadata":{},"outputs":[],"source":["df = pd.read_csv(\"data/Qwen2-7B-Instruct_results.csv\")\n","df_best[\"Qwen2-7B-Instruct\"] = df[\n","    \"Qwen/Qwen2-7B-Instruct/checkpoint-70_torch.float16_lf\"\n","].apply(extract_answer)"]},{"cell_type":"code","execution_count":18,"metadata":{},"outputs":[],"source":["df = pd.read_csv(\"data/Llama3.1-8B-Chinese-Chat_results.csv\")\n","df_best[\"Llama3.1-8B-Chinese-Chat\"] = df[\n","    \"shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-175_torch.float16_lf\"\n","].apply(extract_answer)"]},{"cell_type":"code","execution_count":19,"metadata":{},"outputs":[],"source":["df = pd.read_csv(\"data/Llama3.1-70B-Chinese-Chat_results.csv\")\n","df_best[\"Llama3.1-70B-Chinese-Chat\"] = df[\n","    \"shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-175_torch.bfloat16_4bit_lf\"\n","].apply(extract_answer)"]},{"cell_type":"code","execution_count":20,"metadata":{},"outputs":[],"source":["df = pd.read_csv(\"data/Qwen2-72B-Instruct_results.csv\")\n","df_best[\"Qwen2-72B-Instruct\"] = df[\n","    \"Qwen/Qwen2-72B-Instruct/checkpoint-315_torch.bfloat16_4bit_lf\"\n","].apply(extract_answer)"]},{"cell_type":"code","execution_count":21,"metadata":{},"outputs":[],"source":["df_best[\"Ensemble Model\"] = df_best.apply(\n","    lambda x: majority_vote(\n","        x[\"internlm2_5-7b-chat-1m\"],\n","        x[\"Qwen2-72B-Instruct\"],\n","        x[\"Llama3.1-70B-Chinese-Chat\"],\n","    ),\n","    axis=1,\n",")"]},{"cell_type":"code","execution_count":22,"metadata":{},"outputs":[],"source":["df_best[\"gpt-4o-mini\"] = df_openai[\"gpt-4o-mini/shots-00\"].apply(extract_answer)\n","df_best[\"gpt-4o\"] = df_openai[\"gpt-4o/shots-10\"].apply(extract_answer)"]},{"cell_type":"code","execution_count":23,"metadata":{},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/inflaton/code/engd/projects/logical-reasoning/llm_toolkit/logical_reasoning_utils.py:439: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n","  perf_df = pd.concat(\n"]},{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>index</th>\n","      <th>model</th>\n","      <th>run</th>\n","      <th>accuracy</th>\n","      <th>precision</th>\n","      <th>recall</th>\n","      <th>f1</th>\n","      <th>ratio_valid_classifications</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>internlm2_5-7b-chat-1m</td>\n","      <td>internlm2_5-7b-chat-1m</td>\n","      <td>0.803000</td>\n","      <td>0.803141</td>\n","      <td>0.803000</td>\n","      <td>0.802806</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>0.750000</td>\n","      <td>0.788587</td>\n","      <td>0.750000</td>\n","      <td>0.764823</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>Qwen2-7B-Instruct</td>\n","      <td>Qwen2-7B-Instruct</td>\n","      <td>0.759000</td>\n","      <td>0.800530</td>\n","      <td>0.759000</td>\n","      <td>0.774875</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>Llama3.1-8B-Chinese-Chat</td>\n","      <td>Llama3.1-8B-Chinese-Chat</td>\n","      <td>0.780000</td>\n","      <td>0.810583</td>\n","      <td>0.780000</td>\n","      <td>0.792465</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>Llama3.1-70B-Chinese-Chat</td>\n","      <td>Llama3.1-70B-Chinese-Chat</td>\n","      <td>0.796333</td>\n","      <td>0.824897</td>\n","      <td>0.796333</td>\n","      <td>0.807687</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>6</td>\n","      <td>Qwen2-72B-Instruct</td>\n","      <td>Qwen2-72B-Instruct</td>\n","      <td>0.784000</td>\n","      <td>0.835435</td>\n","      <td>0.784000</td>\n","      <td>0.804195</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>7</td>\n","      <td>Ensemble Model</td>\n","      <td>Ensemble Model</td>\n","      <td>0.819333</td>\n","      <td>0.840746</td>\n","      <td>0.819333</td>\n","      <td>0.828054</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>8</td>\n","      <td>gpt-4o-mini</td>\n","      <td>gpt-4o-mini</td>\n","      <td>0.717667</td>\n","      <td>0.785707</td>\n","      <td>0.717667</td>\n","      <td>0.729606</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>9</td>\n","      <td>gpt-4o</td>\n","      <td>gpt-4o</td>\n","      <td>0.791667</td>\n","      <td>0.822771</td>\n","      <td>0.791667</td>\n","      <td>0.803615</td>\n","      <td>0.999667</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["  index                         model                           run  accuracy  \\\n","0     1        internlm2_5-7b-chat-1m        internlm2_5-7b-chat-1m  0.803000   \n","1     2  Mistral-7B-v0.3-Chinese-Chat  Mistral-7B-v0.3-Chinese-Chat  0.750000   \n","2     3             Qwen2-7B-Instruct             Qwen2-7B-Instruct  0.759000   \n","3     4      Llama3.1-8B-Chinese-Chat      Llama3.1-8B-Chinese-Chat  0.780000   \n","4     5     Llama3.1-70B-Chinese-Chat     Llama3.1-70B-Chinese-Chat  0.796333   \n","5     6            Qwen2-72B-Instruct            Qwen2-72B-Instruct  0.784000   \n","6     7                Ensemble Model                Ensemble Model  0.819333   \n","7     8                   gpt-4o-mini                   gpt-4o-mini  0.717667   \n","8     9                        gpt-4o                        gpt-4o  0.791667   \n","\n","   precision    recall        f1  ratio_valid_classifications  \n","0   0.803141  0.803000  0.802806                     1.000000  \n","1   0.788587  0.750000  0.764823                     1.000000  \n","2   0.800530  0.759000  0.774875                     1.000000  \n","3   0.810583  0.780000  0.792465                     1.000000  \n","4   0.824897  0.796333  0.807687                     1.000000  \n","5   0.835435  0.784000  0.804195                     1.000000  \n","6   0.840746  0.819333  0.828054                     1.000000  \n","7   0.785707  0.717667  0.729606                     1.000000  \n","8   0.822771  0.791667  0.803615                     0.999667  "]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["perf_df = get_metrics_df(df_best, variant=\"index\")\n","perf_df"]},{"cell_type":"code","execution_count":25,"metadata":{},"outputs":[{"name":"stderr","output_type":"stream","text":["/var/folders/7x/56svhln929zdh2xhr3mwqg4r0000gn/T/ipykernel_52538/4003496019.py:8: FutureWarning: \n","\n","Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n","\n","  sns.barplot(\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 800x400 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# plot horizontal bar chart\n","\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","fig, ax = plt.subplots(1, 1, figsize=(8, 4))\n","\n","sns.barplot(\n","    x=\"f1\",\n","    y=\"model\",\n","    data=perf_df,\n","    ax=ax,\n","    palette=\"viridis\",\n","    orient=\"h\",  # Specify horizontal orientation\n",")\n","\n","# Add data labels\n","for p in ax.patches:\n","    ax.annotate(\n","        f\"{p.get_width()*100:.2f}%\",\n","        (p.get_width(), p.get_y() + p.get_height() / 2),\n","        ha=\"left\",\n","        va=\"center\",\n","        xytext=(5, 0),  # Offset by 5 points horizontally\n","        textcoords=\"offset points\",\n","    )\n","\n","ax.set_title(\"F1 Score Comparison Across Models\")\n","ax.set_ylabel(\"Model\")\n","ax.set_xlabel(\"F1 Score\")\n","ax.set_xlim(0, 0.95)\n","\n","plt.tight_layout()\n","plt.show()"]}],"metadata":{"accelerator":"GPU","application/vnd.databricks.v1+notebook":{"dashboards":[],"environmentMetadata":null,"language":"python","notebookMetadata":{"mostRecentlyExecutedCommandWithImplicitDF":{"commandId":-1,"dataframes":["_sqldf"]},"pythonIndentUnit":4},"notebookName":"10_eval-lf-medium-py3.11","widgets":{}},"colab":{"gpuType":"L4","provenance":[]},"kernelspec":{"display_name":"Python 3","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":"3.11.9"}},"nbformat":4,"nbformat_minor":0}
+{"cells":[{"cell_type":"code","execution_count":1,"metadata":{"executionInfo":{"elapsed":476,"status":"ok","timestamp":1720679526275,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"uWKRSV6eZsCn"},"outputs":[],"source":["%load_ext autoreload\n","%autoreload 2"]},{"cell_type":"code","execution_count":2,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{"byteLimit":2048000,"rowLimit":10000},"inputWidgets":{},"nuid":"eb33b19f-1206-41ee-84e2-e6258a12eef7","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2534,"status":"ok","timestamp":1720679529344,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"xwFh14uiZBrI","outputId":"d767799c-34c2-46a5-f052-378146a55321"},"outputs":[],"source":["from pathlib import Path\n","\n","if \"workding_dir\" not in locals():\n","    try:\n","        from google.colab import drive\n","\n","        drive.mount(\"/content/drive\")\n","        workding_dir = \"/content/drive/MyDrive/logical-reasoning/\"\n","    except ModuleNotFoundError:\n","        workding_dir = str(Path.cwd().parent)"]},{"cell_type":"code","execution_count":3,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{"byteLimit":2048000,"rowLimit":10000},"inputWidgets":{},"nuid":"6d394937-6c99-4a7c-9d32-7600a280032f","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1720679529345,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"G5pNu3zgZBrL","outputId":"160a554f-fb08-4aa0-bc00-0422fb7c1fac"},"outputs":[{"name":"stdout","output_type":"stream","text":["workding dir: /Users/inflaton/code/engd/projects/logical-reasoning\n"]}],"source":["import os\n","import sys\n","from pathlib import Path\n","\n","os.chdir(workding_dir)\n","sys.path.append(workding_dir)\n","print(\"workding dir:\", workding_dir)"]},{"cell_type":"code","execution_count":4,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["working dir: /Users/inflaton/code/engd/projects/logical-reasoning\n"]}],"source":["# haotian comp\n","import os\n","import sys\n","from pathlib import Path\n","\n","if \"workding_dir\" not in locals():\n","    workding_dir = str(Path.cwd().parent)\n","os.chdir(workding_dir)\n","sys.path.append(workding_dir)\n","print(\"working dir:\", workding_dir)"]},{"cell_type":"code","execution_count":5,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{"byteLimit":2048000,"rowLimit":10000},"inputWidgets":{},"nuid":"9f67ec60-2f24-411c-84eb-0dd664b44775","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1720679529345,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"hPCC-6m7ZBrM","outputId":"c7aa2c96-5e99-440a-c148-201d79465ff9"},"outputs":[{"name":"stdout","output_type":"stream","text":["loading env vars from: /Users/inflaton/code/engd/projects/logical-reasoning/.env\n"]},{"data":{"text/plain":["True"]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["from dotenv import find_dotenv, load_dotenv\n","\n","found_dotenv = find_dotenv(\".env\")\n","\n","if len(found_dotenv) == 0:\n","    found_dotenv = find_dotenv(\".env.example\")\n","print(f\"loading env vars from: {found_dotenv}\")\n","load_dotenv(found_dotenv, override=True)"]},{"cell_type":"code","execution_count":6,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{"byteLimit":2048000,"rowLimit":10000},"inputWidgets":{},"nuid":"f1597656-8042-4878-9d3b-9ebfb8dd86dc","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1720679529345,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"1M3IraVtZBrM","outputId":"29ab35f6-2970-4ade-d85d-3174acf8cda0"},"outputs":[],"source":["model_orders = {\n","    \"Mistral-7B-v0.3-Chinese-Chat\": 5,\n","    \"internlm2_5-7b-chat-1m\": 10,\n","    \"Qwen2-7B-Instruct\": 20,\n","    \"Llama3.1-8B-Chinese-Chat\": 30,\n","    \"Llama3.1-70B-Chinese-Chat\": 40,\n","    \"Qwen2-72B-Instruct\": 50,\n","}"]},{"cell_type":"code","execution_count":7,"metadata":{},"outputs":[],"source":["markers = [\n","    \"o\",\n","    \"x\",\n","    \"^\",\n","    \"s\",\n","    \"d\",\n","    \"P\",\n","    \"X\",\n","    \"*\",\n","    \"v\",\n","    \">\",\n","    \"<\",\n","    \"p\",\n","    \"h\",\n","    \"H\",\n","    \"+\",\n","    \"|\",\n","    \"_\",\n","]\n","model_markers = {k: markers[i] for i, k in enumerate(model_orders.keys())}"]},{"cell_type":"code","execution_count":8,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>epoch</th>\n","      <th>model</th>\n","      <th>run</th>\n","      <th>accuracy</th>\n","      <th>precision</th>\n","      <th>recall</th>\n","      <th>f1</th>\n","      <th>ratio_valid_classifications</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0.0</td>\n","      <td>Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat_torc...</td>\n","      <td>0.711333</td>\n","      <td>0.702205</td>\n","      <td>0.711333</td>\n","      <td>0.689497</td>\n","      <td>0.004</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0.2</td>\n","      <td>Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/chec...</td>\n","      <td>0.702000</td>\n","      <td>0.793273</td>\n","      <td>0.702000</td>\n","      <td>0.734271</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>0.4</td>\n","      <td>Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/chec...</td>\n","      <td>0.742000</td>\n","      <td>0.789829</td>\n","      <td>0.742000</td>\n","      <td>0.753668</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>0.6</td>\n","      <td>Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/chec...</td>\n","      <td>0.659667</td>\n","      <td>0.792340</td>\n","      <td>0.659667</td>\n","      <td>0.706754</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>0.8</td>\n","      <td>Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/chec...</td>\n","      <td>0.714667</td>\n","      <td>0.786134</td>\n","      <td>0.714667</td>\n","      <td>0.740468</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>1.2</td>\n","      <td>Qwen2-72B-Instruct</td>\n","      <td>Qwen/Qwen2-72B-Instruct/checkpoint-210_torch.b...</td>\n","      <td>0.763000</td>\n","      <td>0.831888</td>\n","      <td>0.763000</td>\n","      <td>0.790108</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>1.4</td>\n","      <td>Qwen2-72B-Instruct</td>\n","      <td>Qwen/Qwen2-72B-Instruct/checkpoint-245_torch.b...</td>\n","      <td>0.765667</td>\n","      <td>0.828827</td>\n","      <td>0.765667</td>\n","      <td>0.790627</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>1.6</td>\n","      <td>Qwen2-72B-Instruct</td>\n","      <td>Qwen/Qwen2-72B-Instruct/checkpoint-280_torch.b...</td>\n","      <td>0.769333</td>\n","      <td>0.829280</td>\n","      <td>0.769333</td>\n","      <td>0.793017</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>1.8</td>\n","      <td>Qwen2-72B-Instruct</td>\n","      <td>Qwen/Qwen2-72B-Instruct/checkpoint-315_torch.b...</td>\n","      <td>0.784000</td>\n","      <td>0.835435</td>\n","      <td>0.784000</td>\n","      <td>0.804195</td>\n","      <td>1.000</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>2.0</td>\n","      <td>Qwen2-72B-Instruct</td>\n","      <td>Qwen/Qwen2-72B-Instruct/checkpoint-350_torch.b...</td>\n","      <td>0.773667</td>\n","      <td>0.833015</td>\n","      <td>0.773667</td>\n","      <td>0.797366</td>\n","      <td>1.000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>66 rows × 8 columns</p>\n","</div>"],"text/plain":["    epoch                         model  \\\n","0     0.0  Mistral-7B-v0.3-Chinese-Chat   \n","1     0.2  Mistral-7B-v0.3-Chinese-Chat   \n","2     0.4  Mistral-7B-v0.3-Chinese-Chat   \n","3     0.6  Mistral-7B-v0.3-Chinese-Chat   \n","4     0.8  Mistral-7B-v0.3-Chinese-Chat   \n","..    ...                           ...   \n","6     1.2            Qwen2-72B-Instruct   \n","7     1.4            Qwen2-72B-Instruct   \n","8     1.6            Qwen2-72B-Instruct   \n","9     1.8            Qwen2-72B-Instruct   \n","10    2.0            Qwen2-72B-Instruct   \n","\n","                                                  run  accuracy  precision  \\\n","0   shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat_torc...  0.711333   0.702205   \n","1   shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/chec...  0.702000   0.793273   \n","2   shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/chec...  0.742000   0.789829   \n","3   shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/chec...  0.659667   0.792340   \n","4   shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/chec...  0.714667   0.786134   \n","..                                                ...       ...        ...   \n","6   Qwen/Qwen2-72B-Instruct/checkpoint-210_torch.b...  0.763000   0.831888   \n","7   Qwen/Qwen2-72B-Instruct/checkpoint-245_torch.b...  0.765667   0.828827   \n","8   Qwen/Qwen2-72B-Instruct/checkpoint-280_torch.b...  0.769333   0.829280   \n","9   Qwen/Qwen2-72B-Instruct/checkpoint-315_torch.b...  0.784000   0.835435   \n","10  Qwen/Qwen2-72B-Instruct/checkpoint-350_torch.b...  0.773667   0.833015   \n","\n","      recall        f1  ratio_valid_classifications  \n","0   0.711333  0.689497                        0.004  \n","1   0.702000  0.734271                        1.000  \n","2   0.742000  0.753668                        1.000  \n","3   0.659667  0.706754                        1.000  \n","4   0.714667  0.740468                        1.000  \n","..       ...       ...                          ...  \n","6   0.763000  0.790108                        1.000  \n","7   0.765667  0.790627                        1.000  \n","8   0.769333  0.793017                        1.000  \n","9   0.784000  0.804195                        1.000  \n","10  0.773667  0.797366                        1.000  \n","\n","[66 rows x 8 columns]"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["import pandas as pd\n","\n","perf_df = None\n","model_perf_dfs = {}\n","for model_name in model_orders.keys():\n","    metrics_csv = f\"data/{model_name}_metrics.csv\"\n","    if not Path(metrics_csv).exists():\n","        continue\n","    df = pd.read_csv(metrics_csv)\n","    model_perf_dfs[model_name] = df\n","    perf_df = df if perf_df is None else pd.concat([perf_df, df])\n","\n","perf_df"]},{"cell_type":"code","execution_count":9,"metadata":{},"outputs":[],"source":["import matplotlib.pyplot as plt\n","from matplotlib.ticker import MultipleLocator\n","\n","def plot_perf(\n","    model_perf_dfs,\n","    model_markers,\n","    x_major_locator=0.2,\n","    y_offset=0.005,\n","):\n","    fig, ax = plt.subplots(1, 1, figsize=(12, 6))\n","\n","    for model_name, perf_df in model_perf_dfs.items():\n","        # Ensure the lengths of perf_df[\"epoch\"], perf_df[\"accuracy\"], and perf_df[\"f1\"] are the same\n","        min_length = min(len(perf_df[\"epoch\"]), len(perf_df[\"accuracy\"]), len(perf_df[\"f1\"]))\n","        perf_df = perf_df.iloc[:min_length]\n","\n","        (line,) = ax.plot(\n","            perf_df[\"epoch\"],\n","            perf_df[\"f1\"],\n","            marker=model_markers[model_name],\n","            label=model_name,\n","        )\n","\n","        line_color = line.get_color()\n","\n","        best_f1 = perf_df[\"f1\"].idxmax()\n","        print(\n","            f\"Best F1 for {model_name} @ {perf_df['epoch'].iloc[best_f1]:.2f} epoch: {perf_df['f1'].iloc[best_f1]}\"\n","        )\n","        ax.annotate(\n","            f\"{perf_df['f1'].iloc[best_f1]*100:.2f}%\",\n","            (perf_df[\"epoch\"].iloc[best_f1], perf_df[\"f1\"].iloc[best_f1]),\n","            ha=\"center\",\n","            va=\"bottom\",\n","            xytext=(0, 0),\n","            textcoords=\"offset points\",\n","            fontsize=10,\n","            color=line_color,\n","        )\n","\n","    # Set y-axis limit\n","    y_scales = ax.get_ylim()\n","    ax.set_ylim(y_scales[0], y_scales[1] + y_offset)\n","\n","    # Add title and labels\n","    ax.set_xlabel(\"Epoch (0: base model, 0.2 - 2: fine-tuned models)\")\n","    ax.set_ylabel(\"F1 Score\")\n","\n","    # Set x-axis grid spacing to 0.2\n","    ax.xaxis.set_major_locator(MultipleLocator(x_major_locator))\n","    ax.set_title(\n","        \"Performance Analysis Across Checkpoints for Models\"\n","    )\n","\n","    # Rotate x labels\n","    plt.xticks(rotation=0)\n","    plt.grid(True)\n","    # plt.tight_layout()\n","\n","    # Set legend at the right to avoid overlapping with lines\n","    plt.legend(loc=\"center left\", bbox_to_anchor=(1.0, 0.5))\n","\n","    plt.show()"]},{"cell_type":"code","execution_count":10,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Best F1 for Mistral-7B-v0.3-Chinese-Chat @ 1.40 epoch: 0.7648234347578796\n","Best F1 for internlm2_5-7b-chat-1m @ 0.80 epoch: 0.8028064320197301\n","Best F1 for Qwen2-7B-Instruct @ 0.40 epoch: 0.7748745026535183\n","Best F1 for Llama3.1-8B-Chinese-Chat @ 1.00 epoch: 0.7924651054056209\n","Best F1 for Llama3.1-70B-Chinese-Chat @ 1.00 epoch: 0.8076868978089201\n","Best F1 for Qwen2-72B-Instruct @ 1.80 epoch: 0.804194683154365\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plot_perf(model_perf_dfs, model_markers)"]},{"cell_type":"code","execution_count":11,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 11 entries, 0 to 10\n","Data columns (total 8 columns):\n"," #   Column                       Non-Null Count  Dtype  \n","---  ------                       --------------  -----  \n"," 0   epoch                        11 non-null     float64\n"," 1   model                        11 non-null     object \n"," 2   run                          11 non-null     object \n"," 3   accuracy                     11 non-null     float64\n"," 4   precision                    11 non-null     float64\n"," 5   recall                       11 non-null     float64\n"," 6   f1                           11 non-null     float64\n"," 7   ratio_valid_classifications  11 non-null     float64\n","dtypes: float64(6), object(2)\n","memory usage: 836.0+ bytes\n"]}],"source":["df_openai = pd.read_csv(\"data/openai_results.csv\")\n","df.info()"]},{"cell_type":"code","execution_count":12,"metadata":{},"outputs":[{"data":{"text/plain":["Index(['epoch', 'model', 'run', 'accuracy', 'precision', 'recall', 'f1',\n","       'ratio_valid_classifications'],\n","      dtype='object')"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["df.columns"]},{"cell_type":"code","execution_count":13,"metadata":{},"outputs":[],"source":["df_best = df_openai[\n","    [\n","        \"text\",\n","        \"label\",\n","        \"title\",\n","        \"puzzle\",\n","        \"truth\",\n","    ]\n","].copy()"]},{"cell_type":"code","execution_count":14,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["loading /Users/inflaton/code/engd/projects/logical-reasoning/llm_toolkit/logical_reasoning_utils.py\n"]}],"source":["from llm_toolkit.logical_reasoning_utils import *"]},{"cell_type":"code","execution_count":15,"metadata":{},"outputs":[],"source":["df = pd.read_csv(\"data/internlm2_5-7b-chat-1m_results.csv\")\n","df_best[\"internlm2_5-7b-chat-1m\"] = df[\n","    \"internlm/internlm2_5-7b-chat-1m/checkpoint-140_torch.bfloat16_lf\"\n","].apply(extract_answer)"]},{"cell_type":"code","execution_count":16,"metadata":{},"outputs":[],"source":["df = pd.read_csv(\"data/Mistral-7B-v0.3-Chinese-Chat_results.csv\")\n","df_best[\"Mistral-7B-v0.3-Chinese-Chat\"] = df[\n","    \"shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat/checkpoint-245_torch.float16_lf\"\n","].apply(extract_answer)"]},{"cell_type":"code","execution_count":17,"metadata":{},"outputs":[],"source":["df = pd.read_csv(\"data/Qwen2-7B-Instruct_results.csv\")\n","df_best[\"Qwen2-7B-Instruct\"] = df[\n","    \"Qwen/Qwen2-7B-Instruct/checkpoint-70_torch.float16_lf\"\n","].apply(extract_answer)"]},{"cell_type":"code","execution_count":18,"metadata":{},"outputs":[],"source":["df = pd.read_csv(\"data/Llama3.1-8B-Chinese-Chat_results.csv\")\n","df_best[\"Llama3.1-8B-Chinese-Chat\"] = df[\n","    \"shenzhi-wang/Llama3.1-8B-Chinese-Chat/checkpoint-175_torch.float16_lf\"\n","].apply(extract_answer)"]},{"cell_type":"code","execution_count":19,"metadata":{},"outputs":[],"source":["df = pd.read_csv(\"data/Llama3.1-70B-Chinese-Chat_results.csv\")\n","df_best[\"Llama3.1-70B-Chinese-Chat\"] = df[\n","    \"shenzhi-wang/Llama3.1-70B-Chinese-Chat/checkpoint-175_torch.bfloat16_4bit_lf\"\n","].apply(extract_answer)"]},{"cell_type":"code","execution_count":20,"metadata":{},"outputs":[],"source":["df = pd.read_csv(\"data/Qwen2-72B-Instruct_results.csv\")\n","df_best[\"Qwen2-72B-Instruct\"] = df[\n","    \"Qwen/Qwen2-72B-Instruct/checkpoint-315_torch.bfloat16_4bit_lf\"\n","].apply(extract_answer)"]},{"cell_type":"code","execution_count":21,"metadata":{},"outputs":[],"source":["df_best[\"Ensemble Model\"] = df_best.apply(\n","    lambda x: majority_vote(\n","        x[\"internlm2_5-7b-chat-1m\"],\n","        x[\"Qwen2-72B-Instruct\"],\n","        x[\"Llama3.1-70B-Chinese-Chat\"],\n","    ),\n","    axis=1,\n",")"]},{"cell_type":"code","execution_count":22,"metadata":{},"outputs":[],"source":["df_best[\"gpt-4o-mini\"] = df_openai[\"gpt-4o-mini/shots-00\"].apply(extract_answer)\n","df_best[\"gpt-4o\"] = df_openai[\"gpt-4o/shots-10\"].apply(extract_answer)"]},{"cell_type":"code","execution_count":23,"metadata":{},"outputs":[{"name":"stderr","output_type":"stream","text":["/Users/inflaton/code/engd/projects/logical-reasoning/llm_toolkit/logical_reasoning_utils.py:439: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n","  perf_df = pd.concat(\n"]},{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>index</th>\n","      <th>model</th>\n","      <th>run</th>\n","      <th>accuracy</th>\n","      <th>precision</th>\n","      <th>recall</th>\n","      <th>f1</th>\n","      <th>ratio_valid_classifications</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>internlm2_5-7b-chat-1m</td>\n","      <td>internlm2_5-7b-chat-1m</td>\n","      <td>0.803000</td>\n","      <td>0.803141</td>\n","      <td>0.803000</td>\n","      <td>0.802806</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>Mistral-7B-v0.3-Chinese-Chat</td>\n","      <td>0.750000</td>\n","      <td>0.788587</td>\n","      <td>0.750000</td>\n","      <td>0.764823</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>Qwen2-7B-Instruct</td>\n","      <td>Qwen2-7B-Instruct</td>\n","      <td>0.759000</td>\n","      <td>0.800530</td>\n","      <td>0.759000</td>\n","      <td>0.774875</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>Llama3.1-8B-Chinese-Chat</td>\n","      <td>Llama3.1-8B-Chinese-Chat</td>\n","      <td>0.780000</td>\n","      <td>0.810583</td>\n","      <td>0.780000</td>\n","      <td>0.792465</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>Llama3.1-70B-Chinese-Chat</td>\n","      <td>Llama3.1-70B-Chinese-Chat</td>\n","      <td>0.796333</td>\n","      <td>0.824897</td>\n","      <td>0.796333</td>\n","      <td>0.807687</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>6</td>\n","      <td>Qwen2-72B-Instruct</td>\n","      <td>Qwen2-72B-Instruct</td>\n","      <td>0.784000</td>\n","      <td>0.835435</td>\n","      <td>0.784000</td>\n","      <td>0.804195</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>7</td>\n","      <td>Ensemble Model</td>\n","      <td>Ensemble Model</td>\n","      <td>0.819333</td>\n","      <td>0.840746</td>\n","      <td>0.819333</td>\n","      <td>0.828054</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>8</td>\n","      <td>gpt-4o-mini</td>\n","      <td>gpt-4o-mini</td>\n","      <td>0.717667</td>\n","      <td>0.785707</td>\n","      <td>0.717667</td>\n","      <td>0.729606</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>9</td>\n","      <td>gpt-4o</td>\n","      <td>gpt-4o</td>\n","      <td>0.791667</td>\n","      <td>0.822771</td>\n","      <td>0.791667</td>\n","      <td>0.803615</td>\n","      <td>0.999667</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["  index                         model                           run  accuracy  \\\n","0     1        internlm2_5-7b-chat-1m        internlm2_5-7b-chat-1m  0.803000   \n","1     2  Mistral-7B-v0.3-Chinese-Chat  Mistral-7B-v0.3-Chinese-Chat  0.750000   \n","2     3             Qwen2-7B-Instruct             Qwen2-7B-Instruct  0.759000   \n","3     4      Llama3.1-8B-Chinese-Chat      Llama3.1-8B-Chinese-Chat  0.780000   \n","4     5     Llama3.1-70B-Chinese-Chat     Llama3.1-70B-Chinese-Chat  0.796333   \n","5     6            Qwen2-72B-Instruct            Qwen2-72B-Instruct  0.784000   \n","6     7                Ensemble Model                Ensemble Model  0.819333   \n","7     8                   gpt-4o-mini                   gpt-4o-mini  0.717667   \n","8     9                        gpt-4o                        gpt-4o  0.791667   \n","\n","   precision    recall        f1  ratio_valid_classifications  \n","0   0.803141  0.803000  0.802806                     1.000000  \n","1   0.788587  0.750000  0.764823                     1.000000  \n","2   0.800530  0.759000  0.774875                     1.000000  \n","3   0.810583  0.780000  0.792465                     1.000000  \n","4   0.824897  0.796333  0.807687                     1.000000  \n","5   0.835435  0.784000  0.804195                     1.000000  \n","6   0.840746  0.819333  0.828054                     1.000000  \n","7   0.785707  0.717667  0.729606                     1.000000  \n","8   0.822771  0.791667  0.803615                     0.999667  "]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["perf_df = get_metrics_df(df_best, variant=\"index\")\n","perf_df"]},{"cell_type":"code","execution_count":25,"metadata":{},"outputs":[{"name":"stderr","output_type":"stream","text":["/var/folders/7x/56svhln929zdh2xhr3mwqg4r0000gn/T/ipykernel_52538/4003496019.py:8: FutureWarning: \n","\n","Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n","\n","  sns.barplot(\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 800x400 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# plot horizontal bar chart\n","\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","fig, ax = plt.subplots(1, 1, figsize=(8, 4))\n","\n","sns.barplot(\n","    x=\"f1\",\n","    y=\"model\",\n","    data=perf_df,\n","    ax=ax,\n","    palette=\"viridis\",\n","    orient=\"h\",  # Specify horizontal orientation\n",")\n","\n","# Add data labels\n","for p in ax.patches:\n","    ax.annotate(\n","        f\"{p.get_width()*100:.2f}%\",\n","        (p.get_width(), p.get_y() + p.get_height() / 2),\n","        ha=\"left\",\n","        va=\"center\",\n","        xytext=(5, 0),  # Offset by 5 points horizontally\n","        textcoords=\"offset points\",\n","    )\n","\n","ax.set_title(\"F1 Score Comparison Across Models\")\n","ax.set_ylabel(\"Model\")\n","ax.set_xlabel(\"F1 Score\")\n","ax.set_xlim(0, 0.95)\n","\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"code","execution_count":28,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 800x400 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plot_value_counts(df_best, \"label\")"]},{"cell_type":"code","execution_count":26,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 800x400 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plot_value_counts(df_best, \"Ensemble Model\")"]},{"cell_type":"code","execution_count":27,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 800x400 with 1 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","text/plain":["<Figure size 800x800 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plot_value_counts(df_best, \"Ensemble Model\", preprocess_func=extract_answer)"]},{"cell_type":"code","execution_count":29,"metadata":{},"outputs":[],"source":["df_best.to_csv(\"data/best_results.csv\", index=False)"]},{"cell_type":"code","execution_count":30,"metadata":{},"outputs":[],"source":["perf_df.to_csv(\"data/best_metrics.csv\", index=False)"]}],"metadata":{"accelerator":"GPU","application/vnd.databricks.v1+notebook":{"dashboards":[],"environmentMetadata":null,"language":"python","notebookMetadata":{"mostRecentlyExecutedCommandWithImplicitDF":{"commandId":-1,"dataframes":["_sqldf"]},"pythonIndentUnit":4},"notebookName":"10_eval-lf-medium-py3.11","widgets":{}},"colab":{"gpuType":"L4","provenance":[]},"kernelspec":{"display_name":"Python 3","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":"3.11.9"}},"nbformat":4,"nbformat_minor":0}