diff --git "a/competition/00d_Llama3_Results.ipynb" "b/competition/00d_Llama3_Results.ipynb"
--- "a/competition/00d_Llama3_Results.ipynb"
+++ "b/competition/00d_Llama3_Results.ipynb"
@@ -1 +1 @@
-{"cells":[{"cell_type":"code","execution_count":1,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"0ea8b46b-839b-445b-8043-ccdf4e920ace","showTitle":false,"title":""},"id":"YLH80COBzi_F"},"outputs":[],"source":["%load_ext autoreload\n","%autoreload 2"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"63B5exAuzq4M"},"outputs":[],"source":["from pathlib import Path\n","\n","try:\n","    from google.colab import drive\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":{"executionInfo":{"elapsed":368,"status":"ok","timestamp":1719461634865,"user":{"displayName":"Donghao Huang","userId":"00463591218503521679"},"user_tz":-480},"id":"zFulf0bg0H-9","outputId":"debdd535-c828-40b9-efc0-8a180e5830dd"},"outputs":[{"name":"stdout","output_type":"stream","text":["workding dir: /Users/inflaton/code/engd/projects/logical-reasoning\n"]}],"source":["import os\n","import sys\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":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"9f67ec60-2f24-411c-84eb-0dd664b44775","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":589,"status":"ok","timestamp":1719462011879,"user":{"displayName":"Donghao Huang","userId":"00463591218503521679"},"user_tz":-480},"id":"DIUiweYYzi_I","outputId":"e16e9247-9077-4b0c-f8ea-17059f05a1c4"},"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":4,"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":5,"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>accuracy</th>\n","      <th>precision</th>\n","      <th>recall</th>\n","      <th>f1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat</td>\n","      <td>0.783667</td>\n","      <td>0.766712</td>\n","      <td>0.792917</td>\n","      <td>0.767940</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.779667</td>\n","      <td>0.793284</td>\n","      <td>0.779667</td>\n","      <td>0.780181</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.674000</td>\n","      <td>0.785928</td>\n","      <td>0.674000</td>\n","      <td>0.709822</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.639333</td>\n","      <td>0.776385</td>\n","      <td>0.639333</td>\n","      <td>0.688929</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.654667</td>\n","      <td>0.761004</td>\n","      <td>0.654667</td>\n","      <td>0.692352</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>5</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.640000</td>\n","      <td>0.756897</td>\n","      <td>0.640000</td>\n","      <td>0.671627</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>6</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.649000</td>\n","      <td>0.758525</td>\n","      <td>0.649000</td>\n","      <td>0.684541</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>7</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.645000</td>\n","      <td>0.749263</td>\n","      <td>0.645000</td>\n","      <td>0.667193</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>8</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.652667</td>\n","      <td>0.760601</td>\n","      <td>0.652667</td>\n","      <td>0.689845</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>9</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.634333</td>\n","      <td>0.752522</td>\n","      <td>0.634333</td>\n","      <td>0.670198</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>10</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.629333</td>\n","      <td>0.745948</td>\n","      <td>0.629333</td>\n","      <td>0.666929</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["    epoch                                              model  accuracy  \\\n","0       0                shenzhi-wang/Llama3-8B-Chinese-Chat  0.783667   \n","1       1  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.779667   \n","2       2  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.674000   \n","3       3  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.639333   \n","4       4  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.654667   \n","5       5  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.640000   \n","6       6  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.649000   \n","7       7  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.645000   \n","8       8  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.652667   \n","9       9  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.634333   \n","10     10  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.629333   \n","\n","    precision    recall        f1  \n","0    0.766712  0.792917  0.767940  \n","1    0.793284  0.779667  0.780181  \n","2    0.785928  0.674000  0.709822  \n","3    0.776385  0.639333  0.688929  \n","4    0.761004  0.654667  0.692352  \n","5    0.756897  0.640000  0.671627  \n","6    0.758525  0.649000  0.684541  \n","7    0.749263  0.645000  0.667193  \n","8    0.760601  0.652667  0.689845  \n","9    0.752522  0.634333  0.670198  \n","10   0.745948  0.629333  0.666929  "]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["import pandas as pd\n","\n","df_p1_llama3 = pd.read_csv(\"results/mgtv-llama3_p1_full_metrics.csv\")\n","df_p1_llama3"]},{"cell_type":"code","execution_count":6,"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>accuracy</th>\n","      <th>precision</th>\n","      <th>recall</th>\n","      <th>f1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat</td>\n","      <td>0.730333</td>\n","      <td>0.771041</td>\n","      <td>0.730333</td>\n","      <td>0.746484</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.767333</td>\n","      <td>0.795680</td>\n","      <td>0.767333</td>\n","      <td>0.770909</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.728667</td>\n","      <td>0.820787</td>\n","      <td>0.728667</td>\n","      <td>0.763019</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.698000</td>\n","      <td>0.795399</td>\n","      <td>0.698000</td>\n","      <td>0.733230</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.709333</td>\n","      <td>0.793851</td>\n","      <td>0.709333</td>\n","      <td>0.740102</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>5</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.679333</td>\n","      <td>0.791366</td>\n","      <td>0.679333</td>\n","      <td>0.720183</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>6</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.667000</td>\n","      <td>0.787851</td>\n","      <td>0.667000</td>\n","      <td>0.710294</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>7</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.645667</td>\n","      <td>0.764853</td>\n","      <td>0.645667</td>\n","      <td>0.680705</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>8</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.654667</td>\n","      <td>0.769380</td>\n","      <td>0.654667</td>\n","      <td>0.687044</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>9</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.643000</td>\n","      <td>0.766252</td>\n","      <td>0.643000</td>\n","      <td>0.678544</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>10</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.647667</td>\n","      <td>0.766725</td>\n","      <td>0.647667</td>\n","      <td>0.684851</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["    epoch                                              model  accuracy  \\\n","0       0                shenzhi-wang/Llama3-8B-Chinese-Chat  0.730333   \n","1       1  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.767333   \n","2       2  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.728667   \n","3       3  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.698000   \n","4       4  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.709333   \n","5       5  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.679333   \n","6       6  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.667000   \n","7       7  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.645667   \n","8       8  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.654667   \n","9       9  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.643000   \n","10     10  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.647667   \n","\n","    precision    recall        f1  \n","0    0.771041  0.730333  0.746484  \n","1    0.795680  0.767333  0.770909  \n","2    0.820787  0.728667  0.763019  \n","3    0.795399  0.698000  0.733230  \n","4    0.793851  0.709333  0.740102  \n","5    0.791366  0.679333  0.720183  \n","6    0.787851  0.667000  0.710294  \n","7    0.764853  0.645667  0.680705  \n","8    0.769380  0.654667  0.687044  \n","9    0.766252  0.643000  0.678544  \n","10   0.766725  0.647667  0.684851  "]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["df_p2_llama3 = pd.read_csv(\"results/mgtv-llama3_p2_full_metrics.csv\")\n","df_p2_llama3"]},{"cell_type":"code","execution_count":7,"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>accuracy</th>\n","      <th>precision</th>\n","      <th>recall</th>\n","      <th>f1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_torch.bflo...</td>\n","      <td>0.783667</td>\n","      <td>0.766712</td>\n","      <td>0.792917</td>\n","      <td>0.767940</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...</td>\n","      <td>0.770667</td>\n","      <td>0.807275</td>\n","      <td>0.770667</td>\n","      <td>0.783572</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...</td>\n","      <td>0.724000</td>\n","      <td>0.811805</td>\n","      <td>0.724000</td>\n","      <td>0.756227</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...</td>\n","      <td>0.675667</td>\n","      <td>0.781176</td>\n","      <td>0.675667</td>\n","      <td>0.710846</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...</td>\n","      <td>0.649667</td>\n","      <td>0.779897</td>\n","      <td>0.649667</td>\n","      <td>0.693184</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   epoch                                              model  accuracy  \\\n","0      0  shenzhi-wang/Llama3-8B-Chinese-Chat_torch.bflo...  0.783667   \n","1      1  shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...  0.770667   \n","2      2  shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...  0.724000   \n","3      3  shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...  0.675667   \n","4      4  shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...  0.649667   \n","\n","   precision    recall        f1  \n","0   0.766712  0.792917  0.767940  \n","1   0.807275  0.770667  0.783572  \n","2   0.811805  0.724000  0.756227  \n","3   0.781176  0.675667  0.710846  \n","4   0.779897  0.649667  0.693184  "]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["df_p1_llama3_r2 = pd.read_csv(\"results/mgtv-llama3_p1_r2_full_metrics.csv\")\n","df_p1_llama3_r2"]},{"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>accuracy</th>\n","      <th>precision</th>\n","      <th>recall</th>\n","      <th>f1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_torch.bflo...</td>\n","      <td>0.730000</td>\n","      <td>0.770974</td>\n","      <td>0.730000</td>\n","      <td>0.746291</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...</td>\n","      <td>0.718000</td>\n","      <td>0.811309</td>\n","      <td>0.718000</td>\n","      <td>0.750106</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...</td>\n","      <td>0.727333</td>\n","      <td>0.802512</td>\n","      <td>0.727333</td>\n","      <td>0.754982</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...</td>\n","      <td>0.688333</td>\n","      <td>0.781617</td>\n","      <td>0.688333</td>\n","      <td>0.716763</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...</td>\n","      <td>0.640667</td>\n","      <td>0.763630</td>\n","      <td>0.640667</td>\n","      <td>0.680793</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   epoch                                              model  accuracy  \\\n","0      0  shenzhi-wang/Llama3-8B-Chinese-Chat_torch.bflo...  0.730000   \n","1      1  shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...  0.718000   \n","2      2  shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...  0.727333   \n","3      3  shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...  0.688333   \n","4      4  shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...  0.640667   \n","\n","   precision    recall        f1  \n","0   0.770974  0.730000  0.746291  \n","1   0.811309  0.718000  0.750106  \n","2   0.802512  0.727333  0.754982  \n","3   0.781617  0.688333  0.716763  \n","4   0.763630  0.640667  0.680793  "]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["df_p2_llama3_r2 = pd.read_csv(\"results/mgtv-llama3_p2_r2_full_metrics.csv\")\n","df_p2_llama3_r2"]},{"cell_type":"code","execution_count":9,"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>accuracy</th>\n","      <th>precision</th>\n","      <th>recall</th>\n","      <th>f1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0.000000</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct_torch.bflo...</td>\n","      <td>0.133333</td>\n","      <td>0.543049</td>\n","      <td>0.133333</td>\n","      <td>0.178079</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0.333333</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...</td>\n","      <td>0.648667</td>\n","      <td>0.652593</td>\n","      <td>0.648667</td>\n","      <td>0.631272</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>0.666667</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...</td>\n","      <td>0.561000</td>\n","      <td>0.689710</td>\n","      <td>0.561000</td>\n","      <td>0.608339</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>1.000000</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...</td>\n","      <td>0.621000</td>\n","      <td>0.686843</td>\n","      <td>0.621000</td>\n","      <td>0.641744</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["      epoch                                              model  accuracy  \\\n","0  0.000000  meta-llama/Meta-Llama-3-8B-Instruct_torch.bflo...  0.133333   \n","1  0.333333  meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...  0.648667   \n","2  0.666667  meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...  0.561000   \n","3  1.000000  meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...  0.621000   \n","\n","   precision    recall        f1  \n","0   0.543049  0.133333  0.178079  \n","1   0.652593  0.648667  0.631272  \n","2   0.689710  0.561000  0.608339  \n","3   0.686843  0.621000  0.641744  "]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["df_p1_llama3_en = pd.read_csv(\"results/mgtv-llama3_p1_en_full_metrics.csv\")\n","df_p1_llama3_en"]},{"cell_type":"code","execution_count":10,"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>accuracy</th>\n","      <th>precision</th>\n","      <th>recall</th>\n","      <th>f1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0.000000</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct_torch.bflo...</td>\n","      <td>0.175333</td>\n","      <td>0.569066</td>\n","      <td>0.175333</td>\n","      <td>0.214274</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0.333333</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...</td>\n","      <td>0.620333</td>\n","      <td>0.663582</td>\n","      <td>0.620333</td>\n","      <td>0.636363</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>0.666667</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...</td>\n","      <td>0.561333</td>\n","      <td>0.700051</td>\n","      <td>0.561333</td>\n","      <td>0.611304</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>1.000000</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...</td>\n","      <td>0.620333</td>\n","      <td>0.681920</td>\n","      <td>0.620333</td>\n","      <td>0.640515</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["      epoch                                              model  accuracy  \\\n","0  0.000000  meta-llama/Meta-Llama-3-8B-Instruct_torch.bflo...  0.175333   \n","1  0.333333  meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...  0.620333   \n","2  0.666667  meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...  0.561333   \n","3  1.000000  meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...  0.620333   \n","\n","   precision    recall        f1  \n","0   0.569066  0.175333  0.214274  \n","1   0.663582  0.620333  0.636363  \n","2   0.700051  0.561333  0.611304  \n","3   0.681920  0.620333  0.640515  "]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["df_p2_llama3_en = pd.read_csv(\"results/mgtv-llama3_p2_en_full_metrics.csv\")\n","df_p2_llama3_en"]},{"cell_type":"code","execution_count":11,"metadata":{},"outputs":[],"source":["def plot_results(df_p1, df_p2, best_p1, best_p2, color_p1=\"red\", color_p2=\"blue\", model_name=\"InternLM2.5_7b\"):\n","    sns.lineplot(\n","        x=\"epoch\",\n","        y=\"accuracy\",\n","        data=df_p1,\n","        ax=ax[0],\n","        color=color_p1,\n","        label=f\"{model_name}: P1\",\n","    )\n","    sns.lineplot(\n","        x=\"epoch\",\n","        y=\"accuracy\",\n","        data=df_p2,\n","        ax=ax[0],\n","        color=color_p2,\n","        label=f\"{model_name}: P2\",\n","    )\n","    sns.scatterplot(\n","        x=\"epoch\", y=\"accuracy\", data=best_p1, ax=ax[0], color=color_p1, s=50\n","    )\n","    sns.scatterplot(\n","        x=\"epoch\", y=\"accuracy\", data=best_p2, ax=ax[0], color=color_p2, s=50\n","    )\n","\n","    sns.lineplot(\n","        x=\"epoch\",\n","        y=\"f1\",\n","        data=df_p1,\n","        ax=ax[1],\n","        color=color_p1,\n","        label=f\"{model_name}: P1\",\n","    )\n","    sns.lineplot(\n","        x=\"epoch\",\n","        y=\"f1\",\n","        data=df_p2,\n","        ax=ax[1],\n","        color=color_p2,\n","        label=f\"{model_name}: P2\",\n","    )\n","    sns.scatterplot(x=\"epoch\", y=\"f1\", data=best_p1, ax=ax[1], color=color_p1, s=50)\n","    sns.scatterplot(x=\"epoch\", y=\"f1\", data=best_p2, ax=ax[1], color=color_p2, s=50)"]},{"cell_type":"code","execution_count":12,"metadata":{},"outputs":[],"source":["# plot the results\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","import matplotlib.ticker as ticker\n","\n","def plot_model_results(model_name, df_p1, df_p2, ax):\n","    print(f\"Model: {model_name}\")\n","    sns.set_theme(style=\"whitegrid\")\n","\n","    # print the best results\n","    best_p1 = df_p1[df_p1[\"accuracy\"] == df_p1[\"accuracy\"].max()]\n","    best_p2 = df_p2[df_p2[\"accuracy\"] == df_p2[\"accuracy\"].max()]\n","\n","    print(\"Best P1 accuracy:\")\n","    print(best_p1[\"accuracy\"].values[0])\n","    print(\"Best P2 accuracy:\")\n","    print(best_p2[\"accuracy\"].values[0])\n","\n","    plot_results(df_p1, df_p2, best_p1, best_p2, model_name=model_name)\n","\n","    for a in ax:\n","        for line_index, line in enumerate(a.lines):\n","            # Get the data\n","            line_color = line.get_color()\n","            xdata, ydata = line.get_data()\n","            for index in range(xdata.size):\n","                a.annotate(  # Use 'a' instead of 'ax' to refer to the current subplot\n","                    f\"{ydata[index]:.3f}\",\n","                    xy=(xdata[index], ydata[index]),\n","                    textcoords=\"offset points\",\n","                    xytext=(\n","                        0,\n","                        1,\n","                        # -10 if line_index % 2 == 0 else 10,\n","                    ),  # Adjusted for better visibility\n","                    ha=\"center\",\n","                    color=line_color,\n","                )\n","\n","    ax[0].set_title(\"Accuracy\")\n","    ax[1].set_title(\"F1\")\n","\n","    # After plotting your data and before plt.show(), add these lines\n","    ax[0].xaxis.set_major_locator(ticker.MaxNLocator(integer=True))\n","    ax[1].xaxis.set_major_locator(ticker.MaxNLocator(integer=True))\n","\n","    plt.show()"]},{"cell_type":"code","execution_count":13,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: Llama3-8B-Chinese\n","Best P1 accuracy:\n","0.7836666666666666\n","Best P2 accuracy:\n","0.7673333333333333\n"]},{"data":{"image/png":"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size 1500x500 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["_, ax = plt.subplots(1, 2, figsize=(15, 5))\n","plot_model_results(\"Llama3-8B-Chinese\", df_p1_llama3, df_p2_llama3, ax)"]},{"cell_type":"code","execution_count":14,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: Llama3-8B-Chinese\n","Best P1 accuracy:\n","0.7836666666666666\n","Best P2 accuracy:\n","0.73\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 1500x500 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["_, ax = plt.subplots(1, 2, figsize=(15, 5))\n","plot_model_results(\"Llama3-8B-Chinese\", df_p1_llama3_r2, df_p2_llama3_r2, ax)"]},{"cell_type":"code","execution_count":15,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: Meta-Llama3-8B\n","Best P1 accuracy:\n","0.6486666666666666\n","Best P2 accuracy:\n","0.6203333333333333\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 1500x500 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["_, ax = plt.subplots(1, 2, figsize=(15, 5))\n","plot_model_results(\"Meta-Llama3-8B\", df_p1_llama3_en, df_p2_llama3_en, ax)"]}],"metadata":{"accelerator":"GPU","application/vnd.databricks.v1+notebook":{"dashboards":[],"environmentMetadata":null,"language":"python","notebookMetadata":{"pythonIndentUnit":4},"notebookName":"07_MAC_+_Qwen2-7B-Instructi_Unsloth_train","widgets":{}},"colab":{"gpuType":"T4","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":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"0ea8b46b-839b-445b-8043-ccdf4e920ace","showTitle":false,"title":""},"id":"YLH80COBzi_F"},"outputs":[],"source":["%load_ext autoreload\n","%autoreload 2"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"63B5exAuzq4M"},"outputs":[],"source":["from pathlib import Path\n","\n","try:\n","    from google.colab import drive\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":{"executionInfo":{"elapsed":368,"status":"ok","timestamp":1719461634865,"user":{"displayName":"Donghao Huang","userId":"00463591218503521679"},"user_tz":-480},"id":"zFulf0bg0H-9","outputId":"debdd535-c828-40b9-efc0-8a180e5830dd"},"outputs":[{"name":"stdout","output_type":"stream","text":["workding dir: /Users/inflaton/code/engd/projects/logical-reasoning\n"]}],"source":["import os\n","import sys\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":{"application/vnd.databricks.v1+cell":{"cellMetadata":{},"inputWidgets":{},"nuid":"9f67ec60-2f24-411c-84eb-0dd664b44775","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":589,"status":"ok","timestamp":1719462011879,"user":{"displayName":"Donghao Huang","userId":"00463591218503521679"},"user_tz":-480},"id":"DIUiweYYzi_I","outputId":"e16e9247-9077-4b0c-f8ea-17059f05a1c4"},"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":4,"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":5,"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>accuracy</th>\n","      <th>precision</th>\n","      <th>recall</th>\n","      <th>f1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat</td>\n","      <td>0.783667</td>\n","      <td>0.766712</td>\n","      <td>0.792917</td>\n","      <td>0.767940</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.779667</td>\n","      <td>0.793284</td>\n","      <td>0.779667</td>\n","      <td>0.780181</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.674000</td>\n","      <td>0.785928</td>\n","      <td>0.674000</td>\n","      <td>0.709822</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.639333</td>\n","      <td>0.776385</td>\n","      <td>0.639333</td>\n","      <td>0.688929</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.654667</td>\n","      <td>0.761004</td>\n","      <td>0.654667</td>\n","      <td>0.692352</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>5</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.640000</td>\n","      <td>0.756897</td>\n","      <td>0.640000</td>\n","      <td>0.671627</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>6</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.649000</td>\n","      <td>0.758525</td>\n","      <td>0.649000</td>\n","      <td>0.684541</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>7</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.645000</td>\n","      <td>0.749263</td>\n","      <td>0.645000</td>\n","      <td>0.667193</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>8</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.652667</td>\n","      <td>0.760601</td>\n","      <td>0.652667</td>\n","      <td>0.689845</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>9</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.634333</td>\n","      <td>0.752522</td>\n","      <td>0.634333</td>\n","      <td>0.670198</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>10</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.629333</td>\n","      <td>0.745948</td>\n","      <td>0.629333</td>\n","      <td>0.666929</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["    epoch                                              model  accuracy  \\\n","0       0                shenzhi-wang/Llama3-8B-Chinese-Chat  0.783667   \n","1       1  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.779667   \n","2       2  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.674000   \n","3       3  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.639333   \n","4       4  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.654667   \n","5       5  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.640000   \n","6       6  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.649000   \n","7       7  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.645000   \n","8       8  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.652667   \n","9       9  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.634333   \n","10     10  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.629333   \n","\n","    precision    recall        f1  \n","0    0.766712  0.792917  0.767940  \n","1    0.793284  0.779667  0.780181  \n","2    0.785928  0.674000  0.709822  \n","3    0.776385  0.639333  0.688929  \n","4    0.761004  0.654667  0.692352  \n","5    0.756897  0.640000  0.671627  \n","6    0.758525  0.649000  0.684541  \n","7    0.749263  0.645000  0.667193  \n","8    0.760601  0.652667  0.689845  \n","9    0.752522  0.634333  0.670198  \n","10   0.745948  0.629333  0.666929  "]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["import pandas as pd\n","\n","df_p1_llama3 = pd.read_csv(\"results/mgtv-llama3_p1_full_metrics.csv\")\n","df_p1_llama3"]},{"cell_type":"code","execution_count":6,"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>accuracy</th>\n","      <th>precision</th>\n","      <th>recall</th>\n","      <th>f1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat</td>\n","      <td>0.730333</td>\n","      <td>0.771041</td>\n","      <td>0.730333</td>\n","      <td>0.746484</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.767333</td>\n","      <td>0.795680</td>\n","      <td>0.767333</td>\n","      <td>0.770909</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.728667</td>\n","      <td>0.820787</td>\n","      <td>0.728667</td>\n","      <td>0.763019</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.698000</td>\n","      <td>0.795399</td>\n","      <td>0.698000</td>\n","      <td>0.733230</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.709333</td>\n","      <td>0.793851</td>\n","      <td>0.709333</td>\n","      <td>0.740102</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>5</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.679333</td>\n","      <td>0.791366</td>\n","      <td>0.679333</td>\n","      <td>0.720183</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>6</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.667000</td>\n","      <td>0.787851</td>\n","      <td>0.667000</td>\n","      <td>0.710294</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>7</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.645667</td>\n","      <td>0.764853</td>\n","      <td>0.645667</td>\n","      <td>0.680705</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>8</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.654667</td>\n","      <td>0.769380</td>\n","      <td>0.654667</td>\n","      <td>0.687044</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>9</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.643000</td>\n","      <td>0.766252</td>\n","      <td>0.643000</td>\n","      <td>0.678544</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>10</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...</td>\n","      <td>0.647667</td>\n","      <td>0.766725</td>\n","      <td>0.647667</td>\n","      <td>0.684851</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["    epoch                                              model  accuracy  \\\n","0       0                shenzhi-wang/Llama3-8B-Chinese-Chat  0.730333   \n","1       1  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.767333   \n","2       2  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.728667   \n","3       3  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.698000   \n","4       4  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.709333   \n","5       5  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.679333   \n","6       6  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.667000   \n","7       7  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.645667   \n","8       8  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.654667   \n","9       9  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.643000   \n","10     10  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.647667   \n","\n","    precision    recall        f1  \n","0    0.771041  0.730333  0.746484  \n","1    0.795680  0.767333  0.770909  \n","2    0.820787  0.728667  0.763019  \n","3    0.795399  0.698000  0.733230  \n","4    0.793851  0.709333  0.740102  \n","5    0.791366  0.679333  0.720183  \n","6    0.787851  0.667000  0.710294  \n","7    0.764853  0.645667  0.680705  \n","8    0.769380  0.654667  0.687044  \n","9    0.766252  0.643000  0.678544  \n","10   0.766725  0.647667  0.684851  "]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["df_p2_llama3 = pd.read_csv(\"results/mgtv-llama3_p2_full_metrics.csv\")\n","df_p2_llama3"]},{"cell_type":"code","execution_count":7,"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>accuracy</th>\n","      <th>precision</th>\n","      <th>recall</th>\n","      <th>f1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_torch.bflo...</td>\n","      <td>0.783667</td>\n","      <td>0.766712</td>\n","      <td>0.792917</td>\n","      <td>0.767940</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...</td>\n","      <td>0.770667</td>\n","      <td>0.807275</td>\n","      <td>0.770667</td>\n","      <td>0.783572</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...</td>\n","      <td>0.724000</td>\n","      <td>0.811805</td>\n","      <td>0.724000</td>\n","      <td>0.756227</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...</td>\n","      <td>0.675667</td>\n","      <td>0.781176</td>\n","      <td>0.675667</td>\n","      <td>0.710846</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...</td>\n","      <td>0.649667</td>\n","      <td>0.779897</td>\n","      <td>0.649667</td>\n","      <td>0.693184</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   epoch                                              model  accuracy  \\\n","0      0  shenzhi-wang/Llama3-8B-Chinese-Chat_torch.bflo...  0.783667   \n","1      1  shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...  0.770667   \n","2      2  shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...  0.724000   \n","3      3  shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...  0.675667   \n","4      4  shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...  0.649667   \n","\n","   precision    recall        f1  \n","0   0.766712  0.792917  0.767940  \n","1   0.807275  0.770667  0.783572  \n","2   0.811805  0.724000  0.756227  \n","3   0.781176  0.675667  0.710846  \n","4   0.779897  0.649667  0.693184  "]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["df_p1_llama3_r2 = pd.read_csv(\"results/mgtv-llama3_p1_r2_full_metrics.csv\")\n","df_p1_llama3_r2"]},{"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>accuracy</th>\n","      <th>precision</th>\n","      <th>recall</th>\n","      <th>f1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat_torch.bflo...</td>\n","      <td>0.730000</td>\n","      <td>0.770974</td>\n","      <td>0.730000</td>\n","      <td>0.746291</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...</td>\n","      <td>0.718000</td>\n","      <td>0.811309</td>\n","      <td>0.718000</td>\n","      <td>0.750106</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...</td>\n","      <td>0.727333</td>\n","      <td>0.802512</td>\n","      <td>0.727333</td>\n","      <td>0.754982</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...</td>\n","      <td>0.688333</td>\n","      <td>0.781617</td>\n","      <td>0.688333</td>\n","      <td>0.716763</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...</td>\n","      <td>0.640667</td>\n","      <td>0.763630</td>\n","      <td>0.640667</td>\n","      <td>0.680793</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   epoch                                              model  accuracy  \\\n","0      0  shenzhi-wang/Llama3-8B-Chinese-Chat_torch.bflo...  0.730000   \n","1      1  shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...  0.718000   \n","2      2  shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...  0.727333   \n","3      3  shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...  0.688333   \n","4      4  shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint...  0.640667   \n","\n","   precision    recall        f1  \n","0   0.770974  0.730000  0.746291  \n","1   0.811309  0.718000  0.750106  \n","2   0.802512  0.727333  0.754982  \n","3   0.781617  0.688333  0.716763  \n","4   0.763630  0.640667  0.680793  "]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["df_p2_llama3_r2 = pd.read_csv(\"results/mgtv-llama3_p2_r2_full_metrics.csv\")\n","df_p2_llama3_r2"]},{"cell_type":"code","execution_count":9,"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>accuracy</th>\n","      <th>precision</th>\n","      <th>recall</th>\n","      <th>f1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0.0</td>\n","      <td>hfl/llama-3-chinese-8b-instruct-v3_torch.bfloa...</td>\n","      <td>0.456333</td>\n","      <td>0.674450</td>\n","      <td>0.456333</td>\n","      <td>0.530122</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0.2</td>\n","      <td>hfl/llama-3-chinese-8b-instruct-v3/checkpoint-...</td>\n","      <td>0.640667</td>\n","      <td>0.765241</td>\n","      <td>0.640667</td>\n","      <td>0.686507</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>0.4</td>\n","      <td>hfl/llama-3-chinese-8b-instruct-v3/checkpoint-...</td>\n","      <td>0.722333</td>\n","      <td>0.761495</td>\n","      <td>0.722333</td>\n","      <td>0.729669</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>0.6</td>\n","      <td>hfl/llama-3-chinese-8b-instruct-v3/checkpoint-...</td>\n","      <td>0.625667</td>\n","      <td>0.769429</td>\n","      <td>0.625667</td>\n","      <td>0.674742</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>0.8</td>\n","      <td>hfl/llama-3-chinese-8b-instruct-v3/checkpoint-...</td>\n","      <td>0.717333</td>\n","      <td>0.774693</td>\n","      <td>0.717333</td>\n","      <td>0.739105</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>1.0</td>\n","      <td>hfl/llama-3-chinese-8b-instruct-v3/checkpoint-...</td>\n","      <td>0.688000</td>\n","      <td>0.767848</td>\n","      <td>0.688000</td>\n","      <td>0.718197</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   epoch                                              model  accuracy  \\\n","0    0.0  hfl/llama-3-chinese-8b-instruct-v3_torch.bfloa...  0.456333   \n","1    0.2  hfl/llama-3-chinese-8b-instruct-v3/checkpoint-...  0.640667   \n","2    0.4  hfl/llama-3-chinese-8b-instruct-v3/checkpoint-...  0.722333   \n","3    0.6  hfl/llama-3-chinese-8b-instruct-v3/checkpoint-...  0.625667   \n","4    0.8  hfl/llama-3-chinese-8b-instruct-v3/checkpoint-...  0.717333   \n","5    1.0  hfl/llama-3-chinese-8b-instruct-v3/checkpoint-...  0.688000   \n","\n","   precision    recall        f1  \n","0   0.674450  0.456333  0.530122  \n","1   0.765241  0.640667  0.686507  \n","2   0.761495  0.722333  0.729669  \n","3   0.769429  0.625667  0.674742  \n","4   0.774693  0.717333  0.739105  \n","5   0.767848  0.688000  0.718197  "]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["df_p1_llama3_r3 = pd.read_csv(\"results/mgtv-llama3_p1_r3_full_metrics.csv\")\n","df_p1_llama3_r3"]},{"cell_type":"code","execution_count":10,"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>accuracy</th>\n","      <th>precision</th>\n","      <th>recall</th>\n","      <th>f1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0.0</td>\n","      <td>hfl/llama-3-chinese-8b-instruct-v3_torch.bfloa...</td>\n","      <td>0.250667</td>\n","      <td>0.685242</td>\n","      <td>0.250667</td>\n","      <td>0.326364</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0.2</td>\n","      <td>hfl/llama-3-chinese-8b-instruct-v3/checkpoint-...</td>\n","      <td>0.728333</td>\n","      <td>0.772239</td>\n","      <td>0.728333</td>\n","      <td>0.742645</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>0.4</td>\n","      <td>hfl/llama-3-chinese-8b-instruct-v3/checkpoint-...</td>\n","      <td>0.741000</td>\n","      <td>0.786830</td>\n","      <td>0.741000</td>\n","      <td>0.751406</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   epoch                                              model  accuracy  \\\n","0    0.0  hfl/llama-3-chinese-8b-instruct-v3_torch.bfloa...  0.250667   \n","1    0.2  hfl/llama-3-chinese-8b-instruct-v3/checkpoint-...  0.728333   \n","2    0.4  hfl/llama-3-chinese-8b-instruct-v3/checkpoint-...  0.741000   \n","\n","   precision    recall        f1  \n","0   0.685242  0.250667  0.326364  \n","1   0.772239  0.728333  0.742645  \n","2   0.786830  0.741000  0.751406  "]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["df_p2_llama3_r3 = pd.read_csv(\"results/mgtv-llama3_p2_r3_full_metrics.csv\")\n","df_p2_llama3_r3"]},{"cell_type":"code","execution_count":11,"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>accuracy</th>\n","      <th>precision</th>\n","      <th>recall</th>\n","      <th>f1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0.000000</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct_torch.bflo...</td>\n","      <td>0.139000</td>\n","      <td>0.574101</td>\n","      <td>0.139000</td>\n","      <td>0.186498</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0.333333</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...</td>\n","      <td>0.648667</td>\n","      <td>0.652593</td>\n","      <td>0.648667</td>\n","      <td>0.631272</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>0.666667</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...</td>\n","      <td>0.561000</td>\n","      <td>0.689710</td>\n","      <td>0.561000</td>\n","      <td>0.608339</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>1.000000</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...</td>\n","      <td>0.621000</td>\n","      <td>0.686843</td>\n","      <td>0.621000</td>\n","      <td>0.641744</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["      epoch                                              model  accuracy  \\\n","0  0.000000  meta-llama/Meta-Llama-3-8B-Instruct_torch.bflo...  0.139000   \n","1  0.333333  meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...  0.648667   \n","2  0.666667  meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...  0.561000   \n","3  1.000000  meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...  0.621000   \n","\n","   precision    recall        f1  \n","0   0.574101  0.139000  0.186498  \n","1   0.652593  0.648667  0.631272  \n","2   0.689710  0.561000  0.608339  \n","3   0.686843  0.621000  0.641744  "]},"execution_count":11,"metadata":{},"output_type":"execute_result"}],"source":["df_p1_llama3_en = pd.read_csv(\"results/mgtv-llama3_p1_en_full_metrics.csv\")\n","df_p1_llama3_en"]},{"cell_type":"code","execution_count":12,"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>accuracy</th>\n","      <th>precision</th>\n","      <th>recall</th>\n","      <th>f1</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0.000000</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct_torch.bflo...</td>\n","      <td>0.154667</td>\n","      <td>0.521852</td>\n","      <td>0.154667</td>\n","      <td>0.176118</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0.333333</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...</td>\n","      <td>0.620333</td>\n","      <td>0.663582</td>\n","      <td>0.620333</td>\n","      <td>0.636363</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>0.666667</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...</td>\n","      <td>0.561333</td>\n","      <td>0.700051</td>\n","      <td>0.561333</td>\n","      <td>0.611304</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>1.000000</td>\n","      <td>meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...</td>\n","      <td>0.620333</td>\n","      <td>0.681920</td>\n","      <td>0.620333</td>\n","      <td>0.640515</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["      epoch                                              model  accuracy  \\\n","0  0.000000  meta-llama/Meta-Llama-3-8B-Instruct_torch.bflo...  0.154667   \n","1  0.333333  meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...  0.620333   \n","2  0.666667  meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...  0.561333   \n","3  1.000000  meta-llama/Meta-Llama-3-8B-Instruct/checkpoint...  0.620333   \n","\n","   precision    recall        f1  \n","0   0.521852  0.154667  0.176118  \n","1   0.663582  0.620333  0.636363  \n","2   0.700051  0.561333  0.611304  \n","3   0.681920  0.620333  0.640515  "]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["df_p2_llama3_en = pd.read_csv(\"results/mgtv-llama3_p2_en_full_metrics.csv\")\n","df_p2_llama3_en"]},{"cell_type":"code","execution_count":13,"metadata":{},"outputs":[],"source":["def plot_results(df_p1, df_p2, best_p1, best_p2, color_p1=\"red\", color_p2=\"blue\", model_name=\"InternLM2.5_7b\"):\n","    sns.lineplot(\n","        x=\"epoch\",\n","        y=\"accuracy\",\n","        data=df_p1,\n","        ax=ax[0],\n","        color=color_p1,\n","        label=f\"{model_name}: P1\",\n","    )\n","    sns.lineplot(\n","        x=\"epoch\",\n","        y=\"accuracy\",\n","        data=df_p2,\n","        ax=ax[0],\n","        color=color_p2,\n","        label=f\"{model_name}: P2\",\n","    )\n","    sns.scatterplot(\n","        x=\"epoch\", y=\"accuracy\", data=best_p1, ax=ax[0], color=color_p1, s=50\n","    )\n","    sns.scatterplot(\n","        x=\"epoch\", y=\"accuracy\", data=best_p2, ax=ax[0], color=color_p2, s=50\n","    )\n","\n","    sns.lineplot(\n","        x=\"epoch\",\n","        y=\"f1\",\n","        data=df_p1,\n","        ax=ax[1],\n","        color=color_p1,\n","        label=f\"{model_name}: P1\",\n","    )\n","    sns.lineplot(\n","        x=\"epoch\",\n","        y=\"f1\",\n","        data=df_p2,\n","        ax=ax[1],\n","        color=color_p2,\n","        label=f\"{model_name}: P2\",\n","    )\n","    sns.scatterplot(x=\"epoch\", y=\"f1\", data=best_p1, ax=ax[1], color=color_p1, s=50)\n","    sns.scatterplot(x=\"epoch\", y=\"f1\", data=best_p2, ax=ax[1], color=color_p2, s=50)"]},{"cell_type":"code","execution_count":14,"metadata":{},"outputs":[],"source":["# plot the results\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","import matplotlib.ticker as ticker\n","\n","def plot_model_results(model_name, df_p1, df_p2, ax):\n","    print(f\"Model: {model_name}\")\n","    sns.set_theme(style=\"whitegrid\")\n","\n","    # print the best results\n","    best_p1 = df_p1[df_p1[\"accuracy\"] == df_p1[\"accuracy\"].max()]\n","    best_p2 = df_p2[df_p2[\"accuracy\"] == df_p2[\"accuracy\"].max()]\n","\n","    print(\"Best P1 accuracy:\")\n","    print(best_p1[\"accuracy\"].values[0])\n","    print(\"Best P2 accuracy:\")\n","    print(best_p2[\"accuracy\"].values[0])\n","\n","    plot_results(df_p1, df_p2, best_p1, best_p2, model_name=model_name)\n","\n","    for a in ax:\n","        for line_index, line in enumerate(a.lines):\n","            # Get the data\n","            line_color = line.get_color()\n","            xdata, ydata = line.get_data()\n","            for index in range(xdata.size):\n","                a.annotate(  # Use 'a' instead of 'ax' to refer to the current subplot\n","                    f\"{ydata[index]:.3f}\",\n","                    xy=(xdata[index], ydata[index]),\n","                    textcoords=\"offset points\",\n","                    xytext=(\n","                        0,\n","                        1,\n","                        # -10 if line_index % 2 == 0 else 10,\n","                    ),  # Adjusted for better visibility\n","                    ha=\"center\",\n","                    color=line_color,\n","                )\n","\n","    ax[0].set_title(\"Accuracy\")\n","    ax[1].set_title(\"F1\")\n","\n","    # After plotting your data and before plt.show(), add these lines\n","    ax[0].xaxis.set_major_locator(ticker.MaxNLocator(integer=True))\n","    ax[1].xaxis.set_major_locator(ticker.MaxNLocator(integer=True))\n","\n","    plt.show()"]},{"cell_type":"code","execution_count":15,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: Llama3-8B-Chinese\n","Best P1 accuracy:\n","0.7836666666666666\n","Best P2 accuracy:\n","0.7673333333333333\n"]},{"data":{"image/png":"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size 1500x500 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["_, ax = plt.subplots(1, 2, figsize=(15, 5))\n","plot_model_results(\"Llama3-8B-Chinese\", df_p1_llama3, df_p2_llama3, ax)"]},{"cell_type":"code","execution_count":16,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: Llama3-8B-Chinese\n","Best P1 accuracy:\n","0.7836666666666666\n","Best P2 accuracy:\n","0.73\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 1500x500 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["_, ax = plt.subplots(1, 2, figsize=(15, 5))\n","plot_model_results(\"Llama3-8B-Chinese\", df_p1_llama3_r2, df_p2_llama3_r2, ax)"]},{"cell_type":"code","execution_count":17,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: llama-3-chinese-8b\n","Best P1 accuracy:\n","0.7223333333333334\n","Best P2 accuracy:\n","0.741\n"]},{"data":{"image/png":"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size 1500x500 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["_, ax = plt.subplots(1, 2, figsize=(15, 5))\n","plot_model_results(\"llama-3-chinese-8b\", df_p1_llama3_r3, df_p2_llama3_r3, ax)"]},{"cell_type":"code","execution_count":18,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: Meta-Llama3-8B\n","Best P1 accuracy:\n","0.6486666666666666\n","Best P2 accuracy:\n","0.6203333333333333\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 1500x500 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["_, ax = plt.subplots(1, 2, figsize=(15, 5))\n","plot_model_results(\"Meta-Llama3-8B\", df_p1_llama3_en, df_p2_llama3_en, ax)"]}],"metadata":{"accelerator":"GPU","application/vnd.databricks.v1+notebook":{"dashboards":[],"environmentMetadata":null,"language":"python","notebookMetadata":{"pythonIndentUnit":4},"notebookName":"07_MAC_+_Qwen2-7B-Instructi_Unsloth_train","widgets":{}},"colab":{"gpuType":"T4","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}