File size: 2,939 Bytes
bd7d37c a3e0513 bd7d37c a3e0513 bd7d37c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 |
{
"model": "22h/cabrita-lora-v0-1",
"base_model": "huggyllama/llama-7b",
"revision": "main",
"private": false,
"precision": "float16",
"params": 0,
"architectures": "?",
"weight_type": "Adapter",
"status": "FAILED",
"submitted_time": "2024-02-05T23:03:11Z",
"model_type": "🔶 : fine-tuned",
"source": "script",
"job_id": 14,
"job_start_time": "2024-02-06T16-32-12.465705",
"error_msg": "LoraConfig.__init__() got an unexpected keyword argument 'enable_lora'",
"traceback": "Traceback (most recent call last):\n File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 183, in wait_download_and_run_request\n del MODELS_DOWNLOADED[f\"{request['model']}_{request['revision']}\"]\n File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 64, in run_request\n results = run_eval_on_model(\n ^^^^^^^^^^^^^^^^^^\n File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/run_eval.py\", line 54, in run_eval_on_model\n File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/lm_eval_util.py\", line 145, in evaluate\n results = evaluator.simple_evaluate(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/utils.py\", line 415, in _wrapper\n return fn(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^\n File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/evaluator.py\", line 100, in simple_evaluate\n lm = lm_eval.api.registry.get_model(model).create_from_arg_string(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/api/model.py\", line 134, in create_from_arg_string\n return cls(**args, **args2)\n ^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 293, in __init__\n self._create_model(\n File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 633, in _create_model\n self._model = PeftModel.from_pretrained(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/peft/peft_model.py\", line 325, in from_pretrained\n config = PEFT_TYPE_TO_CONFIG_MAPPING[\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/peft/config.py\", line 152, in from_pretrained\n return cls.from_peft_type(**kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/peft/config.py\", line 119, in from_peft_type\n return config_cls(**kwargs)\n ^^^^^^^^^^^^^^^^^^^^\nTypeError: LoraConfig.__init__() got an unexpected keyword argument 'enable_lora'\n"
} |