diff --git "a/competition/00a_InternLM2.5_Llama3_GLM4_Results.ipynb" "b/competition/00a_InternLM2.5_Llama3_GLM4_Results.ipynb"
--- "a/competition/00a_InternLM2.5_Llama3_GLM4_Results.ipynb"
+++ "b/competition/00a_InternLM2.5_Llama3_GLM4_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":[],"source":["P1 = \"\"\"你是一个逻辑游戏的主持人。游戏规则如下：\n","\n","1. 参与者会得到一个谜题。\n","2. 参与者可以通过提问来获取线索，尝试解开谜题。\n","3. 对于每个问题，主持人将根据实际情况回答以下五个选项之一：是、不是、不重要、回答正确、问法错误。\n","4. 回答中不能添加任何其它信息，也不能省略选项中的任何一个字。例如，不可以把“不是”省略成“不”。\n","5. 参与者需要根据回答来推理，并最终找出谜题的正确答案。\n","\n","请严格按照这些规则回答参与者提出的问题。\n","\n","谜题: {}\n","\n","实际情况: {}\n","\n","参与者提出的问题: {}\n","\"\"\""]},{"cell_type":"code","execution_count":6,"metadata":{},"outputs":[],"source":["P2 = \"\"\"你是一个情景猜谜游戏的主持人。游戏规则如下：\n","\n","1. 参与者会得到一个谜面，谜面会描述一个简单又难以理解的事件。\n","2. 主持人知道谜底，谜底是谜面的答案。\n","3. 参与者可以询问任何封闭式问题来找寻事件的真相。\n","4. 对于每个问题，主持人将根据实际情况回答以下五个选项之一：是、不是、不重要、回答正确、问法错误。各回答的判断标准如下：\n","   - 若谜面和谜底能找到问题的答案，回答：是或者不是\n","   - 若谜面和谜底不能直接或者间接推断出问题的答案，回答：不重要\n","   - 若参与者提问不是一个封闭式问题或者问题难以理解，回答：问法错误\n","   - 若参与者提问基本还原了谜底真相，回答：回答正确\n","5. 回答中不能添加任何其它信息，也不能省略选项中的任何一个字。例如，不可以把“不是”省略成“不”。\n","\n","请严格按照这些规则回答参与者提出的问题。\n","\n","**谜面:** {}\n","\n","**谜底:** {}\n","\n","**参与者提出的问题:** {}\n","\"\"\""]},{"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>internlm/internlm2_5-7b-chat-1m</td>\n","      <td>0.759667</td>\n","      <td>0.741854</td>\n","      <td>0.781014</td>\n","      <td>0.758887</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-44</td>\n","      <td>0.761667</td>\n","      <td>0.810873</td>\n","      <td>0.761667</td>\n","      <td>0.780018</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-88</td>\n","      <td>0.741333</td>\n","      <td>0.816182</td>\n","      <td>0.741333</td>\n","      <td>0.769524</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-132</td>\n","      <td>0.755000</td>\n","      <td>0.809829</td>\n","      <td>0.755000</td>\n","      <td>0.775657</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-176</td>\n","      <td>0.719000</td>\n","      <td>0.803307</td>\n","      <td>0.719000</td>\n","      <td>0.750319</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   epoch                                           model  accuracy  precision  \\\n","0      0                 internlm/internlm2_5-7b-chat-1m  0.759667   0.741854   \n","1      1   internlm/internlm2_5-7b-chat-1m_checkpoint-44  0.761667   0.810873   \n","2      2   internlm/internlm2_5-7b-chat-1m_checkpoint-88  0.741333   0.816182   \n","3      3  internlm/internlm2_5-7b-chat-1m_checkpoint-132  0.755000   0.809829   \n","4      4  internlm/internlm2_5-7b-chat-1m_checkpoint-176  0.719000   0.803307   \n","\n","     recall        f1  \n","0  0.781014  0.758887  \n","1  0.761667  0.780018  \n","2  0.741333  0.769524  \n","3  0.755000  0.775657  \n","4  0.719000  0.750319  "]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["import pandas as pd\n","\n","df_p1 = pd.read_csv(\"results/mgtv-results_p1_full_metrics.csv\")\n","df_p1"]},{"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>internlm/internlm2_5-7b-chat-1m</td>\n","      <td>0.766000</td>\n","      <td>0.747969</td>\n","      <td>0.787526</td>\n","      <td>0.764922</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-88</td>\n","      <td>0.796333</td>\n","      <td>0.808232</td>\n","      <td>0.796333</td>\n","      <td>0.798160</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-176</td>\n","      <td>0.781333</td>\n","      <td>0.804716</td>\n","      <td>0.781333</td>\n","      <td>0.788581</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-264</td>\n","      <td>0.759000</td>\n","      <td>0.805502</td>\n","      <td>0.759000</td>\n","      <td>0.777237</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-352</td>\n","      <td>0.730333</td>\n","      <td>0.790676</td>\n","      <td>0.730333</td>\n","      <td>0.753716</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>5</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-440</td>\n","      <td>0.730333</td>\n","      <td>0.790420</td>\n","      <td>0.730333</td>\n","      <td>0.753750</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>6</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-528</td>\n","      <td>0.716000</td>\n","      <td>0.789892</td>\n","      <td>0.716000</td>\n","      <td>0.744833</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   epoch                                           model  accuracy  precision  \\\n","0      0                 internlm/internlm2_5-7b-chat-1m  0.766000   0.747969   \n","1      1   internlm/internlm2_5-7b-chat-1m_checkpoint-88  0.796333   0.808232   \n","2      2  internlm/internlm2_5-7b-chat-1m_checkpoint-176  0.781333   0.804716   \n","3      3  internlm/internlm2_5-7b-chat-1m_checkpoint-264  0.759000   0.805502   \n","4      4  internlm/internlm2_5-7b-chat-1m_checkpoint-352  0.730333   0.790676   \n","5      5  internlm/internlm2_5-7b-chat-1m_checkpoint-440  0.730333   0.790420   \n","6      6  internlm/internlm2_5-7b-chat-1m_checkpoint-528  0.716000   0.789892   \n","\n","     recall        f1  \n","0  0.787526  0.764922  \n","1  0.796333  0.798160  \n","2  0.781333  0.788581  \n","3  0.759000  0.777237  \n","4  0.730333  0.753716  \n","5  0.730333  0.753750  \n","6  0.716000  0.744833  "]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["df_p2 = pd.read_csv(\"results/mgtv-results_p2_full_metrics.csv\")\n","df_p2"]},{"cell_type":"code","execution_count":18,"metadata":{},"outputs":[],"source":["df_p2 = df_p2[: len(df_p1)]"]},{"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</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>0.013000</td>\n","      <td>0.922640</td>\n","      <td>0.026621</td>\n","      <td>0.015316</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>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</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>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</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>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</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>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</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>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</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>0.134333</td>\n","      <td>0.678404</td>\n","      <td>0.134333</td>\n","      <td>0.197460</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>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</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>0.445333</td>\n","      <td>0.737958</td>\n","      <td>0.445333</td>\n","      <td>0.548035</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>0.485000</td>\n","      <td>0.743099</td>\n","      <td>0.485000</td>\n","      <td>0.573525</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...  0.013000   \n","2       2  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...       NaN   \n","3       3  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...       NaN   \n","4       4  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...       NaN   \n","5       5  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...       NaN   \n","6       6  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...       NaN   \n","7       7  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.134333   \n","8       8  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...       NaN   \n","9       9  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.445333   \n","10     10  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.485000   \n","\n","    precision    recall        f1  \n","0    0.766712  0.792917  0.767940  \n","1    0.922640  0.026621  0.015316  \n","2         NaN       NaN       NaN  \n","3         NaN       NaN       NaN  \n","4         NaN       NaN       NaN  \n","5         NaN       NaN       NaN  \n","6         NaN       NaN       NaN  \n","7    0.678404  0.134333  0.197460  \n","8         NaN       NaN       NaN  \n","9    0.737958  0.445333  0.548035  \n","10   0.743099  0.485000  0.573525  "]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["df_p1_llama3 = pd.read_csv(\"results/mgtv-llama3_p1_full_metrics.csv\")\n","df_p1_llama3"]},{"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</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>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</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>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</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>0.707000</td>\n","      <td>0.800984</td>\n","      <td>0.707000</td>\n","      <td>0.741300</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>0.702000</td>\n","      <td>0.776710</td>\n","      <td>0.702000</td>\n","      <td>0.728534</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>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</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>0.623333</td>\n","      <td>0.768108</td>\n","      <td>0.623333</td>\n","      <td>0.676031</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>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</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>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</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>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</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>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</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...       NaN   \n","2       2  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...       NaN   \n","3       3  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.707000   \n","4       4  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.702000   \n","5       5  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...       NaN   \n","6       6  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.623333   \n","7       7  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...  0.000000   \n","8       8  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...       NaN   \n","9       9  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...       NaN   \n","10     10  shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint...       NaN   \n","\n","    precision    recall        f1  \n","0    0.771041  0.730333  0.746484  \n","1         NaN       NaN       NaN  \n","2         NaN       NaN       NaN  \n","3    0.800984  0.707000  0.741300  \n","4    0.776710  0.702000  0.728534  \n","5         NaN       NaN       NaN  \n","6    0.768108  0.623333  0.676031  \n","7    0.000000  0.000000  0.000000  \n","8         NaN       NaN       NaN  \n","9         NaN       NaN       NaN  \n","10        NaN       NaN       NaN  "]},"execution_count":10,"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":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</td>\n","      <td>THUDM/glm-4-9b-chat-1m</td>\n","      <td>0.581000</td>\n","      <td>0.703006</td>\n","      <td>0.581000</td>\n","      <td>0.616915</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>THUDM/glm-4-9b-chat-1m_checkpoint-175</td>\n","      <td>0.465000</td>\n","      <td>0.462698</td>\n","      <td>0.478067</td>\n","      <td>0.452823</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>THUDM/glm-4-9b-chat-1m_checkpoint-350</td>\n","      <td>0.579000</td>\n","      <td>0.677205</td>\n","      <td>0.579000</td>\n","      <td>0.607769</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>THUDM/glm-4-9b-chat-1m_checkpoint-525</td>\n","      <td>0.605333</td>\n","      <td>0.722023</td>\n","      <td>0.605333</td>\n","      <td>0.637907</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>THUDM/glm-4-9b-chat-1m_checkpoint-700</td>\n","      <td>0.593000</td>\n","      <td>0.720287</td>\n","      <td>0.593000</td>\n","      <td>0.631179</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   epoch                                  model  accuracy  precision  \\\n","0      0                 THUDM/glm-4-9b-chat-1m  0.581000   0.703006   \n","1      1  THUDM/glm-4-9b-chat-1m_checkpoint-175  0.465000   0.462698   \n","2      2  THUDM/glm-4-9b-chat-1m_checkpoint-350  0.579000   0.677205   \n","3      3  THUDM/glm-4-9b-chat-1m_checkpoint-525  0.605333   0.722023   \n","4      4  THUDM/glm-4-9b-chat-1m_checkpoint-700  0.593000   0.720287   \n","\n","     recall        f1  \n","0  0.581000  0.616915  \n","1  0.478067  0.452823  \n","2  0.579000  0.607769  \n","3  0.605333  0.637907  \n","4  0.593000  0.631179  "]},"execution_count":11,"metadata":{},"output_type":"execute_result"}],"source":["df_p1_glm_4 = pd.read_csv(\"results/mgtv-glm-4-9b_p1_full_metrics.csv\")\n","df_p1_glm_4"]},{"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</td>\n","      <td>THUDM/glm-4-9b-chat-1m</td>\n","      <td>0.395000</td>\n","      <td>0.667648</td>\n","      <td>0.395000</td>\n","      <td>0.458390</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>THUDM/glm-4-9b-chat-1m_checkpoint-175</td>\n","      <td>0.594667</td>\n","      <td>0.705625</td>\n","      <td>0.594667</td>\n","      <td>0.631524</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>THUDM/glm-4-9b-chat-1m_checkpoint-350</td>\n","      <td>0.549000</td>\n","      <td>0.700654</td>\n","      <td>0.549000</td>\n","      <td>0.595640</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>THUDM/glm-4-9b-chat-1m_checkpoint-525</td>\n","      <td>0.598667</td>\n","      <td>0.715051</td>\n","      <td>0.598667</td>\n","      <td>0.625357</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>THUDM/glm-4-9b-chat-1m_checkpoint-700</td>\n","      <td>0.584333</td>\n","      <td>0.730090</td>\n","      <td>0.584333</td>\n","      <td>0.619578</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   epoch                                  model  accuracy  precision  \\\n","0      0                 THUDM/glm-4-9b-chat-1m  0.395000   0.667648   \n","1      1  THUDM/glm-4-9b-chat-1m_checkpoint-175  0.594667   0.705625   \n","2      2  THUDM/glm-4-9b-chat-1m_checkpoint-350  0.549000   0.700654   \n","3      3  THUDM/glm-4-9b-chat-1m_checkpoint-525  0.598667   0.715051   \n","4      4  THUDM/glm-4-9b-chat-1m_checkpoint-700  0.584333   0.730090   \n","\n","     recall        f1  \n","0  0.395000  0.458390  \n","1  0.594667  0.631524  \n","2  0.549000  0.595640  \n","3  0.598667  0.625357  \n","4  0.584333  0.619578  "]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["df_p2_glm_4 = pd.read_csv(\"results/mgtv-glm-4-9b_p2_full_metrics.csv\")\n","df_p2_glm_4"]},{"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":19,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: InternLM_2_5-7b\n","Best P1 accuracy:\n","0.7616666666666667\n","Best P2 accuracy:\n","0.7963333333333333\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(\"InternLM_2_5-7b\", df_p1, df_p2, ax)"]},{"cell_type":"code","execution_count":16,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: Llama3-8b\n","Best P1 accuracy:\n","0.7836666666666666\n","Best P2 accuracy:\n","0.7303333333333333\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\", df_p1_llama3, df_p2_llama3, ax)"]},{"cell_type":"code","execution_count":17,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: GLM-4-9b\n","Best P1 accuracy:\n","0.6053333333333333\n","Best P2 accuracy:\n","0.5986666666666667\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(\"GLM-4-9b\", df_p1_glm_4, df_p2_glm_4, 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":[],"source":["P1 = \"\"\"你是一个逻辑游戏的主持人。游戏规则如下：\n","\n","1. 参与者会得到一个谜题。\n","2. 参与者可以通过提问来获取线索，尝试解开谜题。\n","3. 对于每个问题，主持人将根据实际情况回答以下五个选项之一：是、不是、不重要、回答正确、问法错误。\n","4. 回答中不能添加任何其它信息，也不能省略选项中的任何一个字。例如，不可以把“不是”省略成“不”。\n","5. 参与者需要根据回答来推理，并最终找出谜题的正确答案。\n","\n","请严格按照这些规则回答参与者提出的问题。\n","\n","谜题: {}\n","\n","实际情况: {}\n","\n","参与者提出的问题: {}\n","\"\"\""]},{"cell_type":"code","execution_count":6,"metadata":{},"outputs":[],"source":["P2 = \"\"\"你是一个情景猜谜游戏的主持人。游戏规则如下：\n","\n","1. 参与者会得到一个谜面，谜面会描述一个简单又难以理解的事件。\n","2. 主持人知道谜底，谜底是谜面的答案。\n","3. 参与者可以询问任何封闭式问题来找寻事件的真相。\n","4. 对于每个问题，主持人将根据实际情况回答以下五个选项之一：是、不是、不重要、回答正确、问法错误。各回答的判断标准如下：\n","   - 若谜面和谜底能找到问题的答案，回答：是或者不是\n","   - 若谜面和谜底不能直接或者间接推断出问题的答案，回答：不重要\n","   - 若参与者提问不是一个封闭式问题或者问题难以理解，回答：问法错误\n","   - 若参与者提问基本还原了谜底真相，回答：回答正确\n","5. 回答中不能添加任何其它信息，也不能省略选项中的任何一个字。例如，不可以把“不是”省略成“不”。\n","\n","请严格按照这些规则回答参与者提出的问题。\n","\n","**谜面:** {}\n","\n","**谜底:** {}\n","\n","**参与者提出的问题:** {}\n","\"\"\""]},{"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>internlm/internlm2_5-7b-chat-1m</td>\n","      <td>0.759667</td>\n","      <td>0.741854</td>\n","      <td>0.781014</td>\n","      <td>0.758887</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-44</td>\n","      <td>0.761667</td>\n","      <td>0.810873</td>\n","      <td>0.761667</td>\n","      <td>0.780018</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-88</td>\n","      <td>0.741333</td>\n","      <td>0.816182</td>\n","      <td>0.741333</td>\n","      <td>0.769524</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-132</td>\n","      <td>0.755000</td>\n","      <td>0.809829</td>\n","      <td>0.755000</td>\n","      <td>0.775657</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-176</td>\n","      <td>0.719000</td>\n","      <td>0.803307</td>\n","      <td>0.719000</td>\n","      <td>0.750319</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   epoch                                           model  accuracy  precision  \\\n","0      0                 internlm/internlm2_5-7b-chat-1m  0.759667   0.741854   \n","1      1   internlm/internlm2_5-7b-chat-1m_checkpoint-44  0.761667   0.810873   \n","2      2   internlm/internlm2_5-7b-chat-1m_checkpoint-88  0.741333   0.816182   \n","3      3  internlm/internlm2_5-7b-chat-1m_checkpoint-132  0.755000   0.809829   \n","4      4  internlm/internlm2_5-7b-chat-1m_checkpoint-176  0.719000   0.803307   \n","\n","     recall        f1  \n","0  0.781014  0.758887  \n","1  0.761667  0.780018  \n","2  0.741333  0.769524  \n","3  0.755000  0.775657  \n","4  0.719000  0.750319  "]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["import pandas as pd\n","\n","df_p1 = pd.read_csv(\"results/mgtv-results_p1_full_metrics.csv\")\n","df_p1"]},{"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>internlm/internlm2_5-7b-chat-1m</td>\n","      <td>0.766000</td>\n","      <td>0.747969</td>\n","      <td>0.787526</td>\n","      <td>0.764922</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-88</td>\n","      <td>0.796333</td>\n","      <td>0.808232</td>\n","      <td>0.796333</td>\n","      <td>0.798160</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-176</td>\n","      <td>0.781333</td>\n","      <td>0.804716</td>\n","      <td>0.781333</td>\n","      <td>0.788581</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-264</td>\n","      <td>0.759000</td>\n","      <td>0.805502</td>\n","      <td>0.759000</td>\n","      <td>0.777237</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-352</td>\n","      <td>0.730333</td>\n","      <td>0.790676</td>\n","      <td>0.730333</td>\n","      <td>0.753716</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>5</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-440</td>\n","      <td>0.730333</td>\n","      <td>0.790420</td>\n","      <td>0.730333</td>\n","      <td>0.753750</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>6</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-528</td>\n","      <td>0.716000</td>\n","      <td>0.789892</td>\n","      <td>0.716000</td>\n","      <td>0.744833</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   epoch                                           model  accuracy  precision  \\\n","0      0                 internlm/internlm2_5-7b-chat-1m  0.766000   0.747969   \n","1      1   internlm/internlm2_5-7b-chat-1m_checkpoint-88  0.796333   0.808232   \n","2      2  internlm/internlm2_5-7b-chat-1m_checkpoint-176  0.781333   0.804716   \n","3      3  internlm/internlm2_5-7b-chat-1m_checkpoint-264  0.759000   0.805502   \n","4      4  internlm/internlm2_5-7b-chat-1m_checkpoint-352  0.730333   0.790676   \n","5      5  internlm/internlm2_5-7b-chat-1m_checkpoint-440  0.730333   0.790420   \n","6      6  internlm/internlm2_5-7b-chat-1m_checkpoint-528  0.716000   0.789892   \n","\n","     recall        f1  \n","0  0.787526  0.764922  \n","1  0.796333  0.798160  \n","2  0.781333  0.788581  \n","3  0.759000  0.777237  \n","4  0.730333  0.753716  \n","5  0.730333  0.753750  \n","6  0.716000  0.744833  "]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["df_p2 = pd.read_csv(\"results/mgtv-results_p2_full_metrics.csv\")\n","df_p2"]},{"cell_type":"code","execution_count":9,"metadata":{},"outputs":[],"source":["df_p2 = df_p2[: len(df_p1)]"]},{"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</td>\n","      <td>internlm/internlm2_5-7b-chat-1m</td>\n","      <td>0.766000</td>\n","      <td>0.747969</td>\n","      <td>0.787526</td>\n","      <td>0.764922</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-175</td>\n","      <td>0.812000</td>\n","      <td>0.812286</td>\n","      <td>0.812000</td>\n","      <td>0.810234</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-350</td>\n","      <td>0.765333</td>\n","      <td>0.806889</td>\n","      <td>0.765333</td>\n","      <td>0.779998</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-525</td>\n","      <td>0.747667</td>\n","      <td>0.812033</td>\n","      <td>0.747667</td>\n","      <td>0.773122</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>internlm/internlm2_5-7b-chat-1m_checkpoint-700</td>\n","      <td>0.717000</td>\n","      <td>0.804642</td>\n","      <td>0.717000</td>\n","      <td>0.751034</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   epoch                                           model  accuracy  precision  \\\n","0      0                 internlm/internlm2_5-7b-chat-1m  0.766000   0.747969   \n","1      1  internlm/internlm2_5-7b-chat-1m_checkpoint-175  0.812000   0.812286   \n","2      2  internlm/internlm2_5-7b-chat-1m_checkpoint-350  0.765333   0.806889   \n","3      3  internlm/internlm2_5-7b-chat-1m_checkpoint-525  0.747667   0.812033   \n","4      4  internlm/internlm2_5-7b-chat-1m_checkpoint-700  0.717000   0.804642   \n","\n","     recall        f1  \n","0  0.787526  0.764922  \n","1  0.812000  0.810234  \n","2  0.765333  0.779998  \n","3  0.747667  0.773122  \n","4  0.717000  0.751034  "]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["df_p2_r2 = pd.read_csv(\"results/mgtv-results_p2_r2_full_metrics.csv\")\n","df_p2_r2"]},{"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</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":11,"metadata":{},"output_type":"execute_result"}],"source":["df_p1_llama3 = pd.read_csv(\"results/mgtv-llama3_p1_full_metrics.csv\")\n","df_p1_llama3"]},{"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</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":12,"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":13,"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>THUDM/glm-4-9b-chat-1m</td>\n","      <td>0.581000</td>\n","      <td>0.703006</td>\n","      <td>0.581000</td>\n","      <td>0.616915</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>THUDM/glm-4-9b-chat-1m_checkpoint-175</td>\n","      <td>0.465000</td>\n","      <td>0.462698</td>\n","      <td>0.478067</td>\n","      <td>0.452823</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>THUDM/glm-4-9b-chat-1m_checkpoint-350</td>\n","      <td>0.579000</td>\n","      <td>0.677205</td>\n","      <td>0.579000</td>\n","      <td>0.607769</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>THUDM/glm-4-9b-chat-1m_checkpoint-525</td>\n","      <td>0.605333</td>\n","      <td>0.722023</td>\n","      <td>0.605333</td>\n","      <td>0.637907</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>THUDM/glm-4-9b-chat-1m_checkpoint-700</td>\n","      <td>0.593000</td>\n","      <td>0.720287</td>\n","      <td>0.593000</td>\n","      <td>0.631179</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   epoch                                  model  accuracy  precision  \\\n","0      0                 THUDM/glm-4-9b-chat-1m  0.581000   0.703006   \n","1      1  THUDM/glm-4-9b-chat-1m_checkpoint-175  0.465000   0.462698   \n","2      2  THUDM/glm-4-9b-chat-1m_checkpoint-350  0.579000   0.677205   \n","3      3  THUDM/glm-4-9b-chat-1m_checkpoint-525  0.605333   0.722023   \n","4      4  THUDM/glm-4-9b-chat-1m_checkpoint-700  0.593000   0.720287   \n","\n","     recall        f1  \n","0  0.581000  0.616915  \n","1  0.478067  0.452823  \n","2  0.579000  0.607769  \n","3  0.605333  0.637907  \n","4  0.593000  0.631179  "]},"execution_count":13,"metadata":{},"output_type":"execute_result"}],"source":["df_p1_glm_4 = pd.read_csv(\"results/mgtv-glm-4-9b_p1_full_metrics.csv\")\n","df_p1_glm_4"]},{"cell_type":"code","execution_count":14,"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>THUDM/glm-4-9b-chat-1m</td>\n","      <td>0.395000</td>\n","      <td>0.667648</td>\n","      <td>0.395000</td>\n","      <td>0.458390</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>THUDM/glm-4-9b-chat-1m_checkpoint-175</td>\n","      <td>0.594667</td>\n","      <td>0.705625</td>\n","      <td>0.594667</td>\n","      <td>0.631524</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>THUDM/glm-4-9b-chat-1m_checkpoint-350</td>\n","      <td>0.549000</td>\n","      <td>0.700654</td>\n","      <td>0.549000</td>\n","      <td>0.595640</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>THUDM/glm-4-9b-chat-1m_checkpoint-525</td>\n","      <td>0.598667</td>\n","      <td>0.715051</td>\n","      <td>0.598667</td>\n","      <td>0.625357</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>THUDM/glm-4-9b-chat-1m_checkpoint-700</td>\n","      <td>0.584333</td>\n","      <td>0.730090</td>\n","      <td>0.584333</td>\n","      <td>0.619578</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   epoch                                  model  accuracy  precision  \\\n","0      0                 THUDM/glm-4-9b-chat-1m  0.395000   0.667648   \n","1      1  THUDM/glm-4-9b-chat-1m_checkpoint-175  0.594667   0.705625   \n","2      2  THUDM/glm-4-9b-chat-1m_checkpoint-350  0.549000   0.700654   \n","3      3  THUDM/glm-4-9b-chat-1m_checkpoint-525  0.598667   0.715051   \n","4      4  THUDM/glm-4-9b-chat-1m_checkpoint-700  0.584333   0.730090   \n","\n","     recall        f1  \n","0  0.395000  0.458390  \n","1  0.594667  0.631524  \n","2  0.549000  0.595640  \n","3  0.598667  0.625357  \n","4  0.584333  0.619578  "]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["df_p2_glm_4 = pd.read_csv(\"results/mgtv-glm-4-9b_p2_full_metrics.csv\")\n","df_p2_glm_4"]},{"cell_type":"code","execution_count":15,"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":16,"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":17,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: InternLM_2_5-7b\n","Best P1 accuracy:\n","0.7616666666666667\n","Best P2 accuracy:\n","0.812\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(\"InternLM_2_5-7b\", df_p1, df_p2, ax)\n","plot_model_results(\"InternLM_2_5-7b\", df_p1, df_p2_r2, ax)"]},{"cell_type":"code","execution_count":18,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: Llama3-8b\n","Best P1 accuracy:\n","0.7836666666666666\n","Best P2 accuracy:\n","0.7673333333333333\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\", df_p1_llama3, df_p2_llama3, ax)"]},{"cell_type":"code","execution_count":19,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: GLM-4-9b\n","Best P1 accuracy:\n","0.6053333333333333\n","Best P2 accuracy:\n","0.5986666666666667\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(\"GLM-4-9b\", df_p1_glm_4, df_p2_glm_4, 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}