{"cells":[{"cell_type":"code","execution_count":1,"metadata":{"executionInfo":{"elapsed":3,"status":"ok","timestamp":1721654064921,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"uWKRSV6eZsCn"},"outputs":[],"source":["%load_ext autoreload\n","%autoreload 2"]},{"cell_type":"code","execution_count":1,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{"byteLimit":2048000,"rowLimit":10000},"inputWidgets":{},"nuid":"eb33b19f-1206-41ee-84e2-e6258a12eef7","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4098,"status":"ok","timestamp":1721659650169,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"xwFh14uiZBrI","outputId":"f4d69f0c-536a-4ff6-a6bf-182c18f66ce0"},"outputs":[{"output_type":"stream","name":"stdout","text":["Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"]}],"source":["from pathlib import Path\n","\n","try:\n"," from google.colab import drive\n","\n"," drive.mount(\"/content/drive\")\n"," workding_dir = \"/content/drive/MyDrive/logical-reasoning/\"\n","except ModuleNotFoundError:\n"," workding_dir = str(Path.cwd().parent)"]},{"cell_type":"code","execution_count":2,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{"byteLimit":2048000,"rowLimit":10000},"inputWidgets":{},"nuid":"6d394937-6c99-4a7c-9d32-7600a280032f","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1001,"status":"ok","timestamp":1721659654247,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"G5pNu3zgZBrL","outputId":"b5b21c88-9f66-4c7d-dc14-b8464c82d011"},"outputs":[{"output_type":"stream","name":"stdout","text":["workding dir: /content/drive/MyDrive/logical-reasoning/\n"]}],"source":["import os\n","import sys\n","from pathlib import Path\n","\n","os.chdir(workding_dir)\n","sys.path.append(workding_dir)\n","print(\"workding dir:\", workding_dir)"]},{"cell_type":"code","source":["need_to_setup_env = True\n","\n","if need_to_setup_env:\n"," %pip install -r requirements.txt\n"," %cd /content/\n"," %rm -rf LLaMA-Factory\n"," !git clone https://github.com/hiyouga/LLaMA-Factory.git\n"," %cd LLaMA-Factory\n"," %ls\n"," %pip install -e .[torch,bitsandbytes]\n","\n"," os.chdir(workding_dir)\n"," sys.path.append(workding_dir)\n"," print(\"workding dir:\", workding_dir)"],"metadata":{"id":"dheB8wxGhPti","executionInfo":{"status":"ok","timestamp":1721657494934,"user_tz":-480,"elapsed":62992,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"9e7ecf6d-6f96-4637-d0df-56301eec76f0"},"execution_count":17,"outputs":[{"output_type":"stream","name":"stdout","text":["Requirement already satisfied: huggingface_hub==0.23.2 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 1)) (0.23.2)\n","Requirement already satisfied: nltk==3.8.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 2)) (3.8.1)\n","Requirement already satisfied: python-dotenv==1.0.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 3)) (1.0.1)\n","Requirement already satisfied: black==24.4.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 4)) (24.4.0)\n","Requirement already satisfied: evaluate==0.4.2 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 5)) (0.4.2)\n","Requirement already satisfied: rouge_score==0.1.2 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 6)) (0.1.2)\n","Requirement already satisfied: pytest==8.2.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 7)) (8.2.1)\n","Requirement already satisfied: seaborn==0.13.2 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 8)) (0.13.2)\n","Requirement already satisfied: scikit-learn==1.5.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 9)) (1.5.0)\n","Requirement already satisfied: jupyter in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 10)) (1.0.0)\n","Requirement already satisfied: ipywidgets in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 11)) (7.7.1)\n","Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 12)) (24.1)\n","Requirement already satisfied: langchain_openai==0.1.13 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 13)) (0.1.13)\n","Requirement already satisfied: wandb==0.17.4 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 14)) (0.17.4)\n","Requirement already satisfied: transformers==4.41.2 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 16)) (4.41.2)\n","Requirement already satisfied: sentencepiece==0.2.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 17)) (0.2.0)\n","Requirement already satisfied: einops==0.8.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 18)) (0.8.0)\n","Requirement already satisfied: accelerate==0.32.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 19)) (0.32.1)\n","Requirement already satisfied: peft==0.11.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 20)) (0.11.1)\n","Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface_hub==0.23.2->-r requirements.txt (line 1)) (3.15.4)\n","Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub==0.23.2->-r requirements.txt (line 1)) (2023.6.0)\n","Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub==0.23.2->-r requirements.txt (line 1)) (6.0.1)\n","Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface_hub==0.23.2->-r requirements.txt (line 1)) (2.32.3)\n","Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub==0.23.2->-r requirements.txt (line 1)) (4.66.4)\n","Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub==0.23.2->-r requirements.txt (line 1)) (4.12.2)\n","Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from nltk==3.8.1->-r requirements.txt (line 2)) (8.1.7)\n","Requirement already satisfied: joblib in /usr/local/lib/python3.10/dist-packages (from nltk==3.8.1->-r requirements.txt (line 2)) (1.4.2)\n","Requirement already satisfied: regex>=2021.8.3 in /usr/local/lib/python3.10/dist-packages (from nltk==3.8.1->-r requirements.txt (line 2)) (2024.5.15)\n","Requirement already satisfied: mypy-extensions>=0.4.3 in /usr/local/lib/python3.10/dist-packages (from black==24.4.0->-r requirements.txt (line 4)) (1.0.0)\n","Requirement already satisfied: pathspec>=0.9.0 in /usr/local/lib/python3.10/dist-packages (from black==24.4.0->-r requirements.txt (line 4)) (0.12.1)\n","Requirement already satisfied: platformdirs>=2 in /usr/local/lib/python3.10/dist-packages (from black==24.4.0->-r requirements.txt (line 4)) (4.2.2)\n","Requirement already satisfied: tomli>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from black==24.4.0->-r requirements.txt (line 4)) (2.0.1)\n","Requirement already satisfied: datasets>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from evaluate==0.4.2->-r requirements.txt (line 5)) (2.20.0)\n","Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from evaluate==0.4.2->-r requirements.txt (line 5)) (1.25.2)\n","Requirement already satisfied: dill in /usr/local/lib/python3.10/dist-packages (from evaluate==0.4.2->-r requirements.txt (line 5)) (0.3.8)\n","Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (from evaluate==0.4.2->-r requirements.txt (line 5)) (2.0.3)\n","Requirement already satisfied: xxhash in /usr/local/lib/python3.10/dist-packages (from evaluate==0.4.2->-r requirements.txt (line 5)) (3.4.1)\n","Requirement already satisfied: multiprocess in /usr/local/lib/python3.10/dist-packages (from evaluate==0.4.2->-r requirements.txt (line 5)) (0.70.16)\n","Requirement already satisfied: absl-py in /usr/local/lib/python3.10/dist-packages (from rouge_score==0.1.2->-r requirements.txt (line 6)) (1.4.0)\n","Requirement already satisfied: six>=1.14.0 in /usr/local/lib/python3.10/dist-packages (from rouge_score==0.1.2->-r requirements.txt (line 6)) (1.16.0)\n","Requirement already satisfied: iniconfig in /usr/local/lib/python3.10/dist-packages (from pytest==8.2.1->-r requirements.txt (line 7)) (2.0.0)\n","Requirement already satisfied: pluggy<2.0,>=1.5 in /usr/local/lib/python3.10/dist-packages (from pytest==8.2.1->-r requirements.txt (line 7)) (1.5.0)\n","Requirement already satisfied: exceptiongroup>=1.0.0rc8 in /usr/local/lib/python3.10/dist-packages (from pytest==8.2.1->-r requirements.txt (line 7)) (1.2.2)\n","Requirement already satisfied: matplotlib!=3.6.1,>=3.4 in /usr/local/lib/python3.10/dist-packages (from seaborn==0.13.2->-r requirements.txt (line 8)) (3.7.1)\n","Requirement already satisfied: scipy>=1.6.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn==1.5.0->-r requirements.txt (line 9)) (1.11.4)\n","Requirement already satisfied: threadpoolctl>=3.1.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn==1.5.0->-r requirements.txt (line 9)) (3.5.0)\n","Requirement already satisfied: langchain-core<0.3,>=0.2.2 in /usr/local/lib/python3.10/dist-packages (from langchain_openai==0.1.13->-r requirements.txt (line 13)) (0.2.22)\n","Requirement already satisfied: openai<2.0.0,>=1.32.0 in /usr/local/lib/python3.10/dist-packages (from langchain_openai==0.1.13->-r requirements.txt (line 13)) (1.36.1)\n","Requirement already satisfied: tiktoken<1,>=0.7 in /usr/local/lib/python3.10/dist-packages (from langchain_openai==0.1.13->-r requirements.txt (line 13)) (0.7.0)\n","Requirement already satisfied: docker-pycreds>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from wandb==0.17.4->-r requirements.txt (line 14)) (0.4.0)\n","Requirement already satisfied: gitpython!=3.1.29,>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from wandb==0.17.4->-r requirements.txt (line 14)) (3.1.43)\n","Requirement already satisfied: protobuf!=4.21.0,<6,>=3.19.0 in /usr/local/lib/python3.10/dist-packages (from wandb==0.17.4->-r requirements.txt (line 14)) (3.20.3)\n","Requirement already satisfied: psutil>=5.0.0 in /usr/local/lib/python3.10/dist-packages (from wandb==0.17.4->-r requirements.txt (line 14)) (5.9.5)\n","Requirement already satisfied: sentry-sdk>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from wandb==0.17.4->-r requirements.txt (line 14)) (2.10.0)\n","Requirement already satisfied: setproctitle in /usr/local/lib/python3.10/dist-packages (from wandb==0.17.4->-r requirements.txt (line 14)) (1.3.3)\n","Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from wandb==0.17.4->-r requirements.txt (line 14)) (67.7.2)\n","Requirement already satisfied: tokenizers<0.20,>=0.19 in /usr/local/lib/python3.10/dist-packages (from transformers==4.41.2->-r requirements.txt (line 16)) (0.19.1)\n","Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.41.2->-r requirements.txt (line 16)) (0.4.3)\n","Requirement already satisfied: torch>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from accelerate==0.32.1->-r requirements.txt (line 19)) (2.3.1+cu121)\n","Requirement already satisfied: notebook in /usr/local/lib/python3.10/dist-packages (from jupyter->-r requirements.txt (line 10)) (6.5.5)\n","Requirement already satisfied: qtconsole in /usr/local/lib/python3.10/dist-packages (from jupyter->-r requirements.txt (line 10)) (5.5.2)\n","Requirement already satisfied: jupyter-console in /usr/local/lib/python3.10/dist-packages (from jupyter->-r requirements.txt (line 10)) (6.1.0)\n","Requirement already satisfied: nbconvert in /usr/local/lib/python3.10/dist-packages (from jupyter->-r requirements.txt (line 10)) (6.5.4)\n","Requirement already satisfied: ipykernel in /usr/local/lib/python3.10/dist-packages (from jupyter->-r requirements.txt (line 10)) (5.5.6)\n","Requirement already satisfied: ipython-genutils~=0.2.0 in /usr/local/lib/python3.10/dist-packages (from ipywidgets->-r requirements.txt (line 11)) (0.2.0)\n","Requirement already satisfied: traitlets>=4.3.1 in /usr/local/lib/python3.10/dist-packages (from ipywidgets->-r requirements.txt (line 11)) (5.7.1)\n","Requirement already satisfied: widgetsnbextension~=3.6.0 in /usr/local/lib/python3.10/dist-packages (from ipywidgets->-r requirements.txt (line 11)) (3.6.7)\n","Requirement already satisfied: ipython>=4.0.0 in /usr/local/lib/python3.10/dist-packages (from ipywidgets->-r requirements.txt (line 11)) (7.34.0)\n","Requirement already satisfied: jupyterlab-widgets>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from ipywidgets->-r requirements.txt (line 11)) (3.0.11)\n","Requirement already satisfied: pyarrow>=15.0.0 in /usr/local/lib/python3.10/dist-packages (from datasets>=2.0.0->evaluate==0.4.2->-r requirements.txt (line 5)) (17.0.0)\n","Requirement already satisfied: pyarrow-hotfix in /usr/local/lib/python3.10/dist-packages (from datasets>=2.0.0->evaluate==0.4.2->-r requirements.txt (line 5)) (0.6)\n","Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from datasets>=2.0.0->evaluate==0.4.2->-r requirements.txt (line 5)) (3.9.5)\n","Requirement already satisfied: gitdb<5,>=4.0.1 in /usr/local/lib/python3.10/dist-packages (from gitpython!=3.1.29,>=1.0.0->wandb==0.17.4->-r requirements.txt (line 14)) (4.0.11)\n","Requirement already satisfied: jupyter-client in /usr/local/lib/python3.10/dist-packages (from ipykernel->jupyter->-r requirements.txt (line 10)) (6.1.12)\n","Requirement already satisfied: tornado>=4.2 in /usr/local/lib/python3.10/dist-packages (from ipykernel->jupyter->-r requirements.txt (line 10)) (6.3.3)\n","Requirement already satisfied: jedi>=0.16 in /usr/local/lib/python3.10/dist-packages (from ipython>=4.0.0->ipywidgets->-r requirements.txt (line 11)) (0.19.1)\n","Requirement already satisfied: decorator in /usr/local/lib/python3.10/dist-packages (from ipython>=4.0.0->ipywidgets->-r requirements.txt (line 11)) (4.4.2)\n","Requirement already satisfied: pickleshare in /usr/local/lib/python3.10/dist-packages (from ipython>=4.0.0->ipywidgets->-r requirements.txt (line 11)) (0.7.5)\n","Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from ipython>=4.0.0->ipywidgets->-r requirements.txt (line 11)) (3.0.47)\n","Requirement already satisfied: pygments in /usr/local/lib/python3.10/dist-packages (from ipython>=4.0.0->ipywidgets->-r requirements.txt (line 11)) (2.16.1)\n","Requirement already satisfied: backcall in /usr/local/lib/python3.10/dist-packages (from ipython>=4.0.0->ipywidgets->-r requirements.txt (line 11)) (0.2.0)\n","Requirement already satisfied: matplotlib-inline in /usr/local/lib/python3.10/dist-packages (from ipython>=4.0.0->ipywidgets->-r requirements.txt (line 11)) (0.1.7)\n","Requirement already satisfied: pexpect>4.3 in /usr/local/lib/python3.10/dist-packages (from ipython>=4.0.0->ipywidgets->-r requirements.txt (line 11)) (4.9.0)\n","Requirement already satisfied: jsonpatch<2.0,>=1.33 in 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markdown-it-py>=2.2.0->rich>=10.11.0->typer<1.0,>=0.12->gradio>=4.0.0->llamafactory==0.8.4.dev0) (0.1.2)\n","Building wheels for collected packages: fire, llamafactory, ffmpy\n"," Building wheel for fire (setup.py) ... \u001b[?25l\u001b[?25hdone\n"," Created wheel for fire: filename=fire-0.6.0-py2.py3-none-any.whl size=117029 sha256=c0c3433a421b583f44f92c6d9d90404b2b6e005b1a912a53a9cb617aaee45a40\n"," Stored in directory: /root/.cache/pip/wheels/d6/6d/5d/5b73fa0f46d01a793713f8859201361e9e581ced8c75e5c6a3\n"," Building editable for llamafactory (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n"," Created wheel for llamafactory: filename=llamafactory-0.8.4.dev0-0.editable-py3-none-any.whl size=20620 sha256=7e0b071ed61a84278eb409513cb958d9de7d5c02d0bf6193e3da31e7f796bd74\n"," Stored in directory: /tmp/pip-ephem-wheel-cache-m19o_y6b/wheels/de/aa/c5/27b5682c5592b7c0eecc3e208f176dedf6b11a61cf2a910b85\n"," Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n"," Created wheel for ffmpy: filename=ffmpy-0.3.2-py3-none-any.whl size=5584 sha256=62181f038d9f0e2c80e36eac3f89a7a6473fde1e81019492e4bcb73a0c848b5a\n"," Stored in directory: /root/.cache/pip/wheels/bd/65/9a/671fc6dcde07d4418df0c592f8df512b26d7a0029c2a23dd81\n","Successfully built fire llamafactory ffmpy\n","Installing collected packages: pydub, ffmpy, websockets, uvloop, uvicorn, tomlkit, shtab, semantic-version, ruff, python-multipart, httptools, fire, dnspython, aiofiles, watchfiles, starlette, email_validator, tyro, sse-starlette, gradio-client, fastapi-cli, bitsandbytes, altair, trl, fastapi, gradio, llamafactory\n"," Attempting uninstall: altair\n"," Found existing installation: altair 4.2.2\n"," Uninstalling altair-4.2.2:\n"," Successfully uninstalled altair-4.2.2\n","Successfully installed aiofiles-23.2.1 altair-5.3.0 bitsandbytes-0.43.1 dnspython-2.6.1 email_validator-2.2.0 fastapi-0.111.1 fastapi-cli-0.0.4 ffmpy-0.3.2 fire-0.6.0 gradio-4.38.1 gradio-client-1.1.0 httptools-0.6.1 llamafactory-0.8.4.dev0 pydub-0.25.1 python-multipart-0.0.9 ruff-0.5.4 semantic-version-2.10.0 shtab-1.7.1 sse-starlette-2.1.2 starlette-0.37.2 tomlkit-0.12.0 trl-0.9.6 tyro-0.8.5 uvicorn-0.30.3 uvloop-0.19.0 watchfiles-0.22.0 websockets-11.0.3\n","workding dir: /content/drive/MyDrive/logical-reasoning/\n"]}]},{"cell_type":"code","execution_count":3,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{"byteLimit":2048000,"rowLimit":10000},"inputWidgets":{},"nuid":"9f67ec60-2f24-411c-84eb-0dd664b44775","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":841,"status":"ok","timestamp":1721659659795,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"hPCC-6m7ZBrM","outputId":"dc16d7cf-1521-4f16-d71c-fe5386cfe73b"},"outputs":[{"output_type":"stream","name":"stdout","text":["loading env vars from: /content/drive/MyDrive/logical-reasoning/.env\n"]},{"output_type":"execute_result","data":{"text/plain":["True"]},"metadata":{},"execution_count":3}],"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":4,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{"byteLimit":2048000,"rowLimit":10000},"inputWidgets":{},"nuid":"f1597656-8042-4878-9d3b-9ebfb8dd86dc","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/","height":73},"executionInfo":{"elapsed":501,"status":"ok","timestamp":1721659663715,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"1M3IraVtZBrM","outputId":"2aca43dd-4a8a-4fdd-f342-cfe5a1c8d73d"},"outputs":[{"output_type":"stream","name":"stdout","text":["internlm/internlm2_5-7b-chat-1m llama-factory/saves/internlm2_5_7b/lora/sft_bf16_p2_full_r2/checkpoint-175 True datasets/mgtv results/mgtv-results_colab_p2.csv\n"]},{"output_type":"execute_result","data":{"text/plain":["'inflaton-ai/InternLM_2_5-7b_LoRA-Adapter'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":4}],"source":["import os\n","\n","model_name = os.getenv(\"MODEL_NAME\")\n","adapter_name_or_path = os.getenv(\"ADAPTER_NAME_OR_PATH\")\n","load_in_4bit = os.getenv(\"LOAD_IN_4BIT\") == \"true\"\n","data_path = os.getenv(\"LOGICAL_REASONING_DATA_PATH\")\n","results_path = os.getenv(\"LOGICAL_REASONING_RESULTS_PATH\")\n","use_english_datasets = os.getenv(\"USE_ENGLISH_DATASETS\") == \"true\"\n","lora_repo_id = \"inflaton-ai/InternLM_2_5-7b_LoRA-Adapter\"\n","\n","print(model_name, adapter_name_or_path, load_in_4bit, data_path, results_path)\n","lora_repo_id"]},{"cell_type":"code","execution_count":7,"metadata":{"application/vnd.databricks.v1+cell":{"cellMetadata":{"byteLimit":2048000,"rowLimit":10000},"inputWidgets":{},"nuid":"b2a43943-9324-4839-9a47-cfa72de2244b","showTitle":false,"title":""},"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6233,"status":"ok","timestamp":1721654268677,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"UgMvt6dIZBrM","outputId":"726f2d48-85a4-4651-8a29-f401da51f511"},"outputs":[{"output_type":"stream","name":"stdout","text":["Python 3.10.12\n","Name: transformers\n","Version: 4.41.2\n","Summary: State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow\n","Home-page: https://github.com/huggingface/transformers\n","Author: The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors)\n","Author-email: transformers@huggingface.co\n","License: Apache 2.0 License\n","Location: /usr/local/lib/python3.10/dist-packages\n","Requires: filelock, huggingface-hub, numpy, packaging, pyyaml, regex, requests, safetensors, tokenizers, tqdm\n","Required-by: peft\n","---\n","Name: torch\n","Version: 2.3.1+cu121\n","Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration\n","Home-page: https://pytorch.org/\n","Author: PyTorch Team\n","Author-email: packages@pytorch.org\n","License: BSD-3\n","Location: /usr/local/lib/python3.10/dist-packages\n","Requires: filelock, fsspec, jinja2, networkx, nvidia-cublas-cu12, nvidia-cuda-cupti-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-runtime-cu12, nvidia-cudnn-cu12, nvidia-cufft-cu12, nvidia-curand-cu12, nvidia-cusolver-cu12, nvidia-cusparse-cu12, nvidia-nccl-cu12, nvidia-nvtx-cu12, sympy, triton, typing-extensions\n","Required-by: accelerate, fastai, peft, torchaudio, torchtext, torchvision\n","---\n","Name: torchvision\n","Version: 0.18.1+cu121\n","Summary: image and video datasets and models for torch deep learning\n","Home-page: https://github.com/pytorch/vision\n","Author: PyTorch Core Team\n","Author-email: soumith@pytorch.org\n","License: BSD\n","Location: /usr/local/lib/python3.10/dist-packages\n","Requires: numpy, pillow, torch\n","Required-by: fastai\n","---\n","Name: torchaudio\n","Version: 2.3.1+cu121\n","Summary: An audio package for PyTorch\n","Home-page: https://github.com/pytorch/audio\n","Author: Soumith Chintala, David Pollack, Sean Naren, Peter Goldsborough, Moto Hira, Caroline Chen, Jeff Hwang, Zhaoheng Ni, Xiaohui Zhang\n","Author-email: soumith@pytorch.org\n","License: \n","Location: /usr/local/lib/python3.10/dist-packages\n","Requires: torch\n","Required-by: \n","CPU times: user 26.2 ms, sys: 8.39 ms, total: 34.6 ms\n","Wall time: 5.42 s\n"]}],"source":["%%time\n","!python --version\n","!pip show transformers torch torchvision torchaudio"]},{"cell_type":"code","execution_count":6,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4076,"status":"ok","timestamp":1721659697693,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"},"user_tz":-480},"id":"ZuS_FsLyZBrN","outputId":"dbb4d2d0-6ca5-498c-9d7b-15c5e65170e7"},"outputs":[{"output_type":"stream","name":"stdout","text":["loading /content/drive/MyDrive/logical-reasoning/llm_toolkit/logical_reasoning_utils.py\n","GPU is available\n"]}],"source":["from llm_toolkit.llm_utils import *\n","from llm_toolkit.logical_reasoning_utils import *\n","\n","device = check_gpu()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":797,"referenced_widgets":["7ad0a4603c294d77bfae40faca9ad557","b26a06fe73d94e53aaf40897d05c5987","079cac8cbb35455c84ab5f5a159e8d16","ac83abeda1654f63b63cfc7347c5f48f","395e8214804e41e29d0a14980ef834b8","52de5db39357424fbab2d05573b04508","7cdf2ee2bf7e498f9e37ce37b1243775","6f7dee29f06f48ffbb7984df65eed05d","e79ff3ca0a674916aa6e6299b6f4bcf6","7fe7a56857184169b0d07894d5e2cb10","0d287b491f464a33a10bf713a7e06fb6","624e136943db44f5b6acfc926063df33","7821f416c2254150b67aa36c60db11dd","15027bb04bcd470898a9aa862812ebab","2e44886c798842a58a1c28aae77c5ef2","e4059eebe6ef4a9fa0d9ff139dbac166","3d907ae1674f4e7fb86ef28d229b6553","fbfb6ba139784c68bc5228dfd6b4a6ad","7a99ee968c52453f923313ac74dc7ec8","78431825c84b4bb2858e030bf4cca1d5","f336c74def524aa7bc5038d1d210506b","137cb7b06181411cb55b8598dd5d00ea","2c8aad7e66984383b68a6b4be63479ea","93d679384f2f49a397da6f1d2ca3dbf4","63122d6ff7a74fd1a5eacad235e549f4","8a225be517c94125bd4847714c974f53","4d388b8618814f8cae3f39e3e28c9e7d","b405112ed82f4863b1bf3e307cdec1f0","f02ca6154588450cb51003f75eddc5ff","047ddc35b2de4c4f92549cc87b065934","8feb03dd610c43a4b3dd4841ad35c437","09418dc91885403e838072403e76bc86","8e7d40fecc7b410695e96ad8cc0e6c34","2f84b83e3c11449181f0312121d9221a","bf28def97b3044ada4c271d81deb8a34","e9bfcdf2b6d445699b7a11f32f9c3c56","a147d8ca896344a0ba9335587005a8ae","ab1ccb0ae50342fa913624e32feb8351","87866914aab2412bbbe6efd75ec2839a","56855358618141fe8703f6ea29ebf140","da7a36e638004dab868109e08544b6c9","8b12a09b696347a7b1d17b445455c3fa","1f2b4fd4222c4db4803efef83d9e5923","fcb1de7afc1b49d09e9a577fd7d1f346","f59596580d8946cfaeea86dc38b5c310","9d6e7313152e46e7b2fa13a701c54428","c611df2430d8483c9e7e8744a68771ed","ff33742cfa524493ba36f87a10f4f71b","faaf3eead95c4401b249e907b0b7d239","3957eae156a94337ad145714fa6c1ba5","65f4eb05e52946b5ae6ed9d043c27297","b41b460896894eaeb19b602dfbab5e45","e2e3b196bac74637830c38c8a2467dda","92996ce78988412bba2a241139e37f55","47d6a90ef0814cafb2fa2590ef6561cb","c3887579d04a4b008ad12627a0e47a77","5f1300d7bde543748932e2f86d9ae942","c700044de0034a12af0a6cc5685bc067","3cd842d1931f43cf932b00ee98b17acd","eac6000aeaca48758f4f2df3ca8ccf37","5b3a29d54b7047618fe111ecdad2340b","7b6baa7d0c314ee484002fa0abdc5bf0","d8bfc40406da49c390729d7d339ecc98","df8b19e3cfe94a96b655c0d0cb0d2e4f","3f56f254935047e0a414215c4cb3afb5","7be5f44870bb4ded930e16a9040ade8c","898445196c96429fb44dc101dab1950a","36a644331e73438aa84c394b96fa0754","25d02037c6684f6ca4e5d8cd5f96e86d","77293579b29b48e3a02d2891549e914c","1ab91628800e4aba8777bbe8a301c946","9423247a586042cbbdc7bdd3bc01088e","994520b8cca44988b04ba316fb845a52","029d1ad4b0d44555a2f10c6dbd8aad6d","cec6eec22d364c16ba878ddc7059e43e","385f0417bcb14f6ca1edb71040b4eaad","68e9571f4152488ebb38eed3228105ab","3f1f6fa7330c4f0494f82b1be3520bdc","15296a65e75a49b698be0812f56ac93c","684907479a6f45f39d4643e5070a6904","5fe31ce49f1c49f19993fc5496c2f37f","3fb96feebc7443ceadff596382285375","17c6f7cbc8aa46c2ae1b5016b65bf72a","d8fb15b9667943b6a5f8ee9526e726ec","e034b0999052484aa30bca2981985860","f1edfbcf046448369f5f150d67a2dc02","e1c2e7a599b44d2aaeabc70799bb843b","d7d9bc55b82d4c7687cdb432875f1473","c2daf619ac35442f8527c9bf26b0b15b","b04387bb37cd44f9bd4a0ced76bf890e","d78afa8480104b45a662e735ec8b47fe","377c630693d141a494c2f992ce5d61d7","4944c63c3a5244339868cb20852124bc","0cce7364b96c45ac86f9f9917c1df034","0e5597a4bc1d4bfbafd5f40a223f959f","e2a817e913484922ac85aad3e4335ae7","7061e60b32454167a8c8418cdb813be8","ce5a7ccb4b984548b32db45fee734adf","8092eb0961c0496c9edafce81dfd2cd8","d934ec65c2214acfb57af2f49af93d78","547e9fe0c2124e029628ec4fb9267821","811526e593d44a2088759f0786620c96","3ebba32f96aa4697acdedf6bbb9aa915","a0a650b23bcf48a1bf3a66d47d713bf3","26fcc255d03143efb2ba27f5e98dafdf","f57f0c5337f944028c6376139bf423d9","b62ae2f1d43549209303493ee6f27bfe","13d4702d325043d7ac15223267baefe8","a4217e5c02364569878aba88f92c2d39","acd8dfd82a56457f929756e533416ed4","8955090b84d548bab16c56dd05270313","a3f08a4a534d49c09e4f67372b80017b","1c87ea7eddba4da8a0c2c4ef13f74efc","51b7f8b9de794270b2f41d2fef3b39df","06f20f9359ba4ca38954536ec732401d","60cde43a563c4be2a60137f5b6cb7175","afe67335397e4074b4f92c712cc028a9","2b66eec20fc343739ad6f3bdd82b2b1b","1c07d0e394ec4236a89861bb6c1d270d","3523ba3e4fa44bb88e1ccb93855cf068","63ec15ad568a4574aee52db02cd3359c","787eba4b453e49dda8358ed3e10ddda2","4f2244fc4347474ab3febec34e97415c","44567102a07b4487b9d371a8cee458a6","b2fe3e5a7b8c471a8a241ade327624f9","fd4cc8b1d434439fa43e92563a280c5c","4fbd5b6bd1ac42a2a75b581a94572dca","519265de08674536bf92545c5408455d","f072024ac7a64b64a805470b9ae5515a","b7accbb016994256880b49defaaee8d6","368b52cdf130472cb2a4a795e3153138","0cd8551924b74506886d777ef6fa78d0","f3f891bb59df4b0b942775e17e16d0ea","a09f6dde8e43426590f4f66ff880236a","26c5cb0850ad494a9da759eea356bd92","057a1361b6e14800a900b555614db413","17d9204ae5c946cc803afa4694fd070a","6584222e964a4703bf98f9921b84d34e","9e3a5544837b4a42b4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DONGHAO _","userId":"00977795705617022768"}},"outputId":"18251f8b-8f9c-49cd-cf2b-472cf5461303"},"outputs":[{"metadata":{"tags":null},"name":"stdout","output_type":"stream","text":["loading model: llama-factory/saves/internlm2_5_7b/lora/sft_bf16_p2_full_r2/checkpoint-175 with adapter: None\n"]},{"metadata":{"tags":null},"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n"," warnings.warn(\n"]},{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"7ad0a4603c294d77bfae40faca9ad557","version_major":2,"version_minor":0},"text/plain":["config.json: 0%| | 0.00/895 [00:00<|im_start|>system\n","You are an expert in logical reasoning.<|im_end|>\n","<|im_start|>user\n","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:** 在一个安静的夜晚，小村庄的湖边突然传来了阵阵哭泣声。第二天早晨，村长甄锐发现湖边的石头上放着一顶破旧的帽子，但没有人知道这顶帽子是从哪里来的，哭泣声又是为何。请还原故事真相。\n","\n","**谜底:** 原来，这顶破旧的帽子属于一个小男孩，他小时候与爷爷在湖边生活。爷爷教他钓鱼、游泳，还告诉他湖中的海龟是他们的朋友。后来，小男孩随父母去了城市生活，但每年夏天都会回到村子探望爷爷。然而，去年夏天，爷爷因病去世，小男孩伤心欲绝。今年夏天，他回到村子，来到湖边，想起和爷爷的美好回忆，忍不住哭泣。他将爷爷的帽子放在湖边的石头上，希望能让爷爷的在天之灵得到安慰。那晚的哭泣声正是小男孩在祭莫他亲爱的爷爷。\n","\n","**参与者提出的问题:** 哭泣和村庄有关系吗\n","<|im_end|>\n","<|im_start|>assistant\n","是\n","--------------------------------------------------\n","prompt: <|im_start|>system\n","You are an expert in logical reasoning.<|im_end|>\n","<|im_start|>user\n","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:** 在一个安静的夜晚，小村庄的湖边突然传来了阵阵哭泣声。第二天早晨，村长甄锐发现湖边的石头上放着一顶破旧的帽子，但没有人知道这顶帽子是从哪里来的，哭泣声又是为何。请还原故事真相。\n","\n","**谜底:** 原来，这顶破旧的帽子属于一个小男孩，他小时候与爷爷在湖边生活。爷爷教他钓鱼、游泳，还告诉他湖中的海龟是他们的朋友。后来，小男孩随父母去了城市生活，但每年夏天都会回到村子探望爷爷。然而，去年夏天，爷爷因病去世，小男孩伤心欲绝。今年夏天，他回到村子，来到湖边，想起和爷爷的美好回忆，忍不住哭泣。他将爷爷的帽子放在湖边的石头上，希望能让爷爷的在天之灵得到安慰。那晚的哭泣声正是小男孩在祭莫他亲爱的爷爷。\n","\n","**参与者提出的问题:** 哭泣和村庄有关系吗\n","<|im_end|>\n","<|im_start|>assistant\n","\n"]}]},{"cell_type":"code","source":["%%time\n","\n","prompt1 = datasets[\"test\"][\"prompt\"][1000]\n","\n","gen_kwargs = {\"max_length\": 4096, \"do_sample\": True, \"top_k\": 1}\n","with torch.no_grad():\n"," inputs = tokenizer(\n"," [prompt1],\n"," return_tensors=\"pt\",\n"," ).to(device)\n"," outputs = model.generate(**inputs, **gen_kwargs)\n"," outputs = outputs[:, inputs['input_ids'].shape[1]:]\n"," print(tokenizer.decode(outputs[0], skip_special_tokens=True))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"2XRHOhZ7k-f6","executionInfo":{"status":"ok","timestamp":1721651630429,"user_tz":-480,"elapsed":3383,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"}},"outputId":"99057087-1400-41e2-e7a3-68f0ef477ff7"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["是\n","CPU times: user 1.57 s, sys: 307 ms, total: 1.88 s\n","Wall time: 2.45 s\n"]}]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":276,"referenced_widgets":["ceed4932898e470aac5f654bbfb693e9","41d37be45913491b87631bbec16f41db","bbeeea83f394454b8a857d9140300800","7bbeeb45ee42490f88580b76481fff42","26937b9ed5aa4b13b45f2a0169b94d76","d8a575c912064ec28a0dc5d517ac200e","672a99e3f7e6405694e79ddacbbc2ccb","6cdabe4894dd4b1197b5c08a591dbc1a","ae8a37428b8d444d9e4b3f7c5f6ce282","19d0441f265a49a5a0a45c53004fba80","ed25bc7b02414e1e82a9e9f5a04a1c6d","c5843a97a7884784bbfab1aa6ccd46c2","fd274b23947c47a09a0460cef3d76c02","8b3b947061bf4617a729f23a1f0ac22e","a13a6d2b82c74bd19895e0b4be86ab0d","0984d9d3247c43c3979e948c8ff2e998","9086035d80b74df4ba4225a842ad02a6","103686e2d3b04b10ac376cf2a559ba18","b150e4b6374d41619588152c8586f0e6","a746ffd96475432095dbfb409a10af9c","f28199e09b6c41b691b0e9291126de91","b56ee2eb87c04265aebe270d15954b5d","98596477464f4301808d365cbf1c5727","49f71433b65f410f93c1dc1a0584a04b","b9a0d40e51c547b5a9a1a4a3de310b77","82a09a1c6cb24ddd964be74927ccfa90","751f60f6d22c495180a40a1c75c41abb","1ec0378b2d2041fe8316ca5cb8506a17","abfa540d0d944457b023925110072ed9","1e1c5004e3514657a8c180132a522526","b04c2ab4de1d4ea385822c9c3d9eb580","f2f6a62548494597afe1793cfb45b0c7","c54995274c13496c84a7c880563f3473"]},"id":"NlwP5DOzhACz","executionInfo":{"status":"ok","timestamp":1721638636921,"user_tz":-480,"elapsed":16368,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"}},"outputId":"5f254549-e3b3-4961-8b11-9a68b8f8b4e9"},"outputs":[{"output_type":"display_data","data":{"text/plain":["README.md: 0%| | 0.00/5.17k [00:00> loading file ./tokenizer.model from cache at /root/.cache/huggingface/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/./tokenizer.model\n","[INFO|tokenization_utils_base.py:2108] 2024-07-22 14:15:05,652 >> loading file added_tokens.json from cache at None\n","[INFO|tokenization_utils_base.py:2108] 2024-07-22 14:15:05,653 >> loading file special_tokens_map.json from cache at /root/.cache/huggingface/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/special_tokens_map.json\n","[INFO|tokenization_utils_base.py:2108] 2024-07-22 14:15:05,654 >> loading file tokenizer_config.json from cache at /root/.cache/huggingface/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/tokenizer_config.json\n","[INFO|tokenization_utils_base.py:2108] 2024-07-22 14:15:05,655 >> loading file tokenizer.json from cache at None\n"]},{"output_type":"stream","name":"stdout","text":["07/22/2024 14:15:06 - INFO - llamafactory.data.template - Add <|im_end|> to stop words.\n"]},{"output_type":"stream","name":"stderr","text":["INFO:llamafactory.data.template:Add <|im_end|> to stop words.\n","/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n"," warnings.warn(\n","[INFO|configuration_utils.py:733] 2024-07-22 14:15:07,004 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/config.json\n","[INFO|configuration_utils.py:733] 2024-07-22 14:15:07,512 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/config.json\n","[INFO|configuration_utils.py:796] 2024-07-22 14:15:07,514 >> Model config InternLM2Config {\n"," \"_name_or_path\": \"internlm/internlm2_5-7b-chat-1m\",\n"," \"architectures\": [\n"," \"InternLM2ForCausalLM\"\n"," ],\n"," \"attn_implementation\": \"eager\",\n"," \"auto_map\": {\n"," \"AutoConfig\": \"internlm/internlm2_5-7b-chat-1m--configuration_internlm2.InternLM2Config\",\n"," \"AutoModel\": \"internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM\",\n"," \"AutoModelForCausalLM\": \"internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM\"\n"," },\n"," \"bias\": false,\n"," \"bos_token_id\": 1,\n"," \"eos_token_id\": 2,\n"," \"hidden_act\": \"silu\",\n"," \"hidden_size\": 4096,\n"," \"initializer_range\": 0.02,\n"," \"intermediate_size\": 14336,\n"," \"max_position_embeddings\": 262144,\n"," \"model_type\": \"internlm2\",\n"," \"num_attention_heads\": 32,\n"," \"num_hidden_layers\": 32,\n"," \"num_key_value_heads\": 8,\n"," \"pad_token_id\": 2,\n"," \"pretraining_tp\": 1,\n"," \"rms_norm_eps\": 1e-05,\n"," \"rope_scaling\": {\n"," \"factor\": 2.5,\n"," \"type\": \"dynamic\"\n"," },\n"," \"rope_theta\": 50000000,\n"," \"tie_word_embeddings\": false,\n"," \"torch_dtype\": \"bfloat16\",\n"," \"transformers_version\": \"4.41.2\",\n"," \"use_cache\": true,\n"," \"vocab_size\": 92544\n","}\n","\n"]},{"output_type":"stream","name":"stdout","text":["07/22/2024 14:15:07 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.\n"]},{"output_type":"stream","name":"stderr","text":["INFO:llamafactory.model.patcher:Using KV cache for faster generation.\n","[INFO|modeling_utils.py:3474] 2024-07-22 14:15:07,800 >> loading weights file model.safetensors from cache at /root/.cache/huggingface/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/model.safetensors.index.json\n","[INFO|modeling_utils.py:1519] 2024-07-22 14:15:07,804 >> Instantiating InternLM2ForCausalLM model under default dtype torch.bfloat16.\n","[INFO|configuration_utils.py:962] 2024-07-22 14:15:07,806 >> Generate config GenerationConfig {\n"," \"bos_token_id\": 1,\n"," \"eos_token_id\": 2,\n"," \"pad_token_id\": 2\n","}\n","\n"]},{"output_type":"display_data","data":{"text/plain":["Loading checkpoint shards: 0%| | 0/8 [00:00> All model checkpoint weights were used when initializing InternLM2ForCausalLM.\n","\n","[INFO|modeling_utils.py:4288] 2024-07-22 14:15:16,020 >> All the weights of InternLM2ForCausalLM were initialized from the model checkpoint at internlm/internlm2_5-7b-chat-1m.\n","If your task is similar to the task the model of the checkpoint was trained on, you can already use InternLM2ForCausalLM for predictions without further training.\n","[INFO|configuration_utils.py:917] 2024-07-22 14:15:16,257 >> loading configuration file generation_config.json from cache at /root/.cache/huggingface/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/generation_config.json\n","[INFO|configuration_utils.py:962] 2024-07-22 14:15:16,259 >> Generate config GenerationConfig {\n"," \"bos_token_id\": 1,\n"," \"eos_token_id\": [\n"," 2,\n"," 92542\n"," ],\n"," \"pad_token_id\": 2\n","}\n","\n"]},{"output_type":"stream","name":"stdout","text":["07/22/2024 14:15:16 - INFO - llamafactory.model.model_utils.attention - Using vanilla attention implementation.\n"]},{"output_type":"stream","name":"stderr","text":["INFO:llamafactory.model.model_utils.attention:Using vanilla attention implementation.\n"]},{"output_type":"stream","name":"stdout","text":["07/22/2024 14:15:18 - INFO - llamafactory.model.adapter - Merged 1 adapter(s).\n"]},{"output_type":"stream","name":"stderr","text":["INFO:llamafactory.model.adapter:Merged 1 adapter(s).\n"]},{"output_type":"stream","name":"stdout","text":["07/22/2024 14:15:18 - INFO - llamafactory.model.adapter - Loaded adapter(s): inflaton-ai/InternLM_2_5-7b_LoRA-Adapter\n"]},{"output_type":"stream","name":"stderr","text":["INFO:llamafactory.model.adapter:Loaded adapter(s): inflaton-ai/InternLM_2_5-7b_LoRA-Adapter\n"]},{"output_type":"stream","name":"stdout","text":["07/22/2024 14:15:18 - INFO - llamafactory.model.loader - all params: 7,737,708,544\n"]},{"output_type":"stream","name":"stderr","text":["INFO:llamafactory.model.loader:all params: 7,737,708,544\n"]},{"output_type":"stream","name":"stdout","text":["CPU times: user 16.7 s, sys: 2.75 s, total: 19.5 s\n","Wall time: 21.9 s\n"]},{"output_type":"execute_result","data":{"text/plain":["(torch.bfloat16, 15475425280)"]},"metadata":{},"execution_count":7}]},{"cell_type":"code","source":["%%time\n","\n","evaluate_model(model, tokenizer, datasets[\"test\"], using_llama_factory=True)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Yx_I9O-Qtp7x","executionInfo":{"status":"ok","timestamp":1721659052254,"user_tz":-480,"elapsed":1270565,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"}},"outputId":"65a921a5-8412-49af-cf00-5db28a6e76a8"},"execution_count":11,"outputs":[{"output_type":"stream","name":"stdout","text":["Evaluating model: internlm/internlm2_5-7b-chat-1m_inflaton-ai/InternLM_2_5-7b_LoRA-Adapter_l4_torch.bfloat16_lf on cuda\n"]},{"output_type":"stream","name":"stderr","text":[" 0%| | 1/375 [00:04<25:48, 4.14s/it]"]},{"output_type":"stream","name":"stdout","text":["Batch output: ['不是', '是', '是', '是', '不是', '是', '是', '不是']\n"]},{"output_type":"stream","name":"stderr","text":["100%|██████████| 375/375 [21:09<00:00, 3.39s/it]"]},{"output_type":"stream","name":"stdout","text":["{'accuracy': 0.8103333333333333}\n","CPU times: user 21min 16s, sys: 2.07 s, total: 21min 18s\n","Wall time: 21min 9s\n"]},{"output_type":"stream","name":"stderr","text":["\n"]}]},{"cell_type":"code","source":["del model, tokenizer"],"metadata":{"id":"tpuZPQsF5VLL","executionInfo":{"status":"ok","timestamp":1721659551868,"user_tz":-480,"elapsed":537,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"}}},"execution_count":19,"outputs":[]},{"cell_type":"code","source":["import gc\n","gc.collect()\n","torch.cuda.empty_cache()"],"metadata":{"id":"_rELWh4Ptqh9","executionInfo":{"status":"ok","timestamp":1721659555859,"user_tz":-480,"elapsed":617,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"}}},"execution_count":20,"outputs":[]},{"cell_type":"code","source":["%%time\n","\n","model, tokenizer = load_model(model_name, adapter_name_or_path=lora_repo_id, dtype=torch.float16, using_llama_factory=True)\n","model.dtype, model.get_memory_footprint()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000,"referenced_widgets":["7011ead885b746faa10594516d305190","7bb787298af6430994eb613842692be9","30e71bc531c84856a34a8be9e9e35c13","36c001dbcff74385b9d2167899c73e2e","25dbe85da0284380b7bbed90103eeff8","48ab3435cb774b9b81c74ccc9272664a","96ac2d3029e24718a7df2a9eb707e55e","0b11971c53d248eaaa0a9c41043220cc","d6f1a5bfb149462cba6d5533c299d8a9","ac1c6d9786734eda956d8b5bae1a4318","bbed2e7e38584ddfac73481faef27fa6"]},"id":"7MYgQckrtswQ","executionInfo":{"status":"ok","timestamp":1721659742445,"user_tz":-480,"elapsed":33032,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"}},"outputId":"f6c112d6-0e80-4c47-efee-9dc17bce9dac"},"execution_count":7,"outputs":[{"output_type":"stream","name":"stdout","text":["loading model: internlm/internlm2_5-7b-chat-1m with adapter: inflaton-ai/InternLM_2_5-7b_LoRA-Adapter\n"]},{"output_type":"stream","name":"stderr","text":["[INFO|tokenization_utils_base.py:2108] 2024-07-22 14:48:40,859 >> loading file ./tokenizer.model from cache at /root/.cache/huggingface/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/./tokenizer.model\n","[INFO|tokenization_utils_base.py:2108] 2024-07-22 14:48:40,861 >> loading file added_tokens.json from cache at None\n","[INFO|tokenization_utils_base.py:2108] 2024-07-22 14:48:40,862 >> loading file special_tokens_map.json from cache at /root/.cache/huggingface/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/special_tokens_map.json\n","[INFO|tokenization_utils_base.py:2108] 2024-07-22 14:48:40,863 >> loading file tokenizer_config.json from cache at /root/.cache/huggingface/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/tokenizer_config.json\n","[INFO|tokenization_utils_base.py:2108] 2024-07-22 14:48:40,865 >> loading file tokenizer.json from cache at None\n"]},{"output_type":"stream","name":"stdout","text":["07/22/2024 14:48:41 - INFO - llamafactory.data.template - Add <|im_end|> to stop words.\n"]},{"output_type":"stream","name":"stderr","text":["INFO:llamafactory.data.template:Add <|im_end|> to stop words.\n","/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n"," warnings.warn(\n","[INFO|configuration_utils.py:733] 2024-07-22 14:48:42,978 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/config.json\n","[INFO|configuration_utils.py:733] 2024-07-22 14:48:45,358 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/config.json\n","[INFO|configuration_utils.py:796] 2024-07-22 14:48:45,361 >> Model config InternLM2Config {\n"," \"_name_or_path\": \"internlm/internlm2_5-7b-chat-1m\",\n"," \"architectures\": [\n"," \"InternLM2ForCausalLM\"\n"," ],\n"," \"attn_implementation\": \"eager\",\n"," \"auto_map\": {\n"," \"AutoConfig\": \"internlm/internlm2_5-7b-chat-1m--configuration_internlm2.InternLM2Config\",\n"," \"AutoModel\": \"internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM\",\n"," \"AutoModelForCausalLM\": \"internlm/internlm2_5-7b-chat-1m--modeling_internlm2.InternLM2ForCausalLM\"\n"," },\n"," \"bias\": false,\n"," \"bos_token_id\": 1,\n"," \"eos_token_id\": 2,\n"," \"hidden_act\": \"silu\",\n"," \"hidden_size\": 4096,\n"," \"initializer_range\": 0.02,\n"," \"intermediate_size\": 14336,\n"," \"max_position_embeddings\": 262144,\n"," \"model_type\": \"internlm2\",\n"," \"num_attention_heads\": 32,\n"," \"num_hidden_layers\": 32,\n"," \"num_key_value_heads\": 8,\n"," \"pad_token_id\": 2,\n"," \"pretraining_tp\": 1,\n"," \"rms_norm_eps\": 1e-05,\n"," \"rope_scaling\": {\n"," \"factor\": 2.5,\n"," \"type\": \"dynamic\"\n"," },\n"," \"rope_theta\": 50000000,\n"," \"tie_word_embeddings\": false,\n"," \"torch_dtype\": \"bfloat16\",\n"," \"transformers_version\": \"4.41.2\",\n"," \"use_cache\": true,\n"," \"vocab_size\": 92544\n","}\n","\n"]},{"output_type":"stream","name":"stdout","text":["07/22/2024 14:48:45 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.\n"]},{"output_type":"stream","name":"stderr","text":["INFO:llamafactory.model.patcher:Using KV cache for faster generation.\n","[INFO|modeling_utils.py:3474] 2024-07-22 14:48:46,651 >> loading weights file model.safetensors from cache at /root/.cache/huggingface/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/model.safetensors.index.json\n","[INFO|modeling_utils.py:1519] 2024-07-22 14:48:46,655 >> Instantiating InternLM2ForCausalLM model under default dtype torch.bfloat16.\n","[INFO|configuration_utils.py:962] 2024-07-22 14:48:46,657 >> Generate config GenerationConfig {\n"," \"bos_token_id\": 1,\n"," \"eos_token_id\": 2,\n"," \"pad_token_id\": 2\n","}\n","\n"]},{"output_type":"display_data","data":{"text/plain":["Loading checkpoint shards: 0%| | 0/8 [00:00> All model checkpoint weights were used when initializing InternLM2ForCausalLM.\n","\n","[INFO|modeling_utils.py:4288] 2024-07-22 14:48:54,206 >> All the weights of InternLM2ForCausalLM were initialized from the model checkpoint at internlm/internlm2_5-7b-chat-1m.\n","If your task is similar to the task the model of the checkpoint was trained on, you can already use InternLM2ForCausalLM for predictions without further training.\n","[INFO|configuration_utils.py:917] 2024-07-22 14:48:55,629 >> loading configuration file generation_config.json from cache at /root/.cache/huggingface/hub/models--internlm--internlm2_5-7b-chat-1m/snapshots/8d1a709a04d71440ef3df6ebbe204672f411c8b6/generation_config.json\n","[INFO|configuration_utils.py:962] 2024-07-22 14:48:55,631 >> Generate config GenerationConfig {\n"," \"bos_token_id\": 1,\n"," \"eos_token_id\": [\n"," 2,\n"," 92542\n"," ],\n"," \"pad_token_id\": 2\n","}\n","\n"]},{"output_type":"stream","name":"stdout","text":["07/22/2024 14:48:55 - INFO - llamafactory.model.model_utils.attention - Using vanilla attention implementation.\n"]},{"output_type":"stream","name":"stderr","text":["INFO:llamafactory.model.model_utils.attention:Using vanilla attention implementation.\n"]},{"output_type":"stream","name":"stdout","text":["07/22/2024 14:49:01 - INFO - llamafactory.model.adapter - Merged 1 adapter(s).\n"]},{"output_type":"stream","name":"stderr","text":["INFO:llamafactory.model.adapter:Merged 1 adapter(s).\n"]},{"output_type":"stream","name":"stdout","text":["07/22/2024 14:49:01 - INFO - llamafactory.model.adapter - Loaded adapter(s): inflaton-ai/InternLM_2_5-7b_LoRA-Adapter\n"]},{"output_type":"stream","name":"stderr","text":["INFO:llamafactory.model.adapter:Loaded adapter(s): inflaton-ai/InternLM_2_5-7b_LoRA-Adapter\n"]},{"output_type":"stream","name":"stdout","text":["07/22/2024 14:49:01 - INFO - llamafactory.model.loader - all params: 7,737,708,544\n"]},{"output_type":"stream","name":"stderr","text":["INFO:llamafactory.model.loader:all params: 7,737,708,544\n"]},{"output_type":"stream","name":"stdout","text":["CPU times: user 17.5 s, sys: 1.81 s, total: 19.3 s\n","Wall time: 32.3 s\n"]},{"output_type":"execute_result","data":{"text/plain":["(torch.bfloat16, 15475425280)"]},"metadata":{},"execution_count":7}]},{"cell_type":"code","source":["%%time\n","\n","evaluate_model(model, tokenizer, datasets[\"test\"], using_llama_factory=True)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Jfcaud14t0Gh","executionInfo":{"status":"ok","timestamp":1721661090930,"user_tz":-480,"elapsed":1270368,"user":{"displayName":"HUANG DONGHAO _","userId":"00977795705617022768"}},"outputId":"43a0b947-03bc-4a1f-8329-cce1ff0039a0"},"execution_count":12,"outputs":[{"output_type":"stream","name":"stdout","text":["Evaluating model: internlm/internlm2_5-7b-chat-1m_inflaton-ai/InternLM_2_5-7b_LoRA-Adapter_l4_torch.bfloat16_lf on 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