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Update status of 22h/cabrita-lora-v0-1_eval_request_False_float16_Adapter to FAILED
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{ | |
"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": 689, | |
"job_start_time": "2024-05-21T20-46-19.127691", | |
"main_language": "Portuguese", | |
"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 200, in wait_download_and_run_request\n run_request(\n File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 70, in run_request\n results = run_eval_on_model(\n ^^^^^^^^^^^^^^^^^^\n File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/run_eval.py\", line 60, in run_eval_on_model\n result = evaluate(\n ^^^^^^^^^\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 419, 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 304, in __init__\n self._create_model(\n File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 645, 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 371, 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 151, 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 118, in from_peft_type\n return config_cls(**kwargs)\n ^^^^^^^^^^^^^^^^^^^^\nTypeError: LoraConfig.__init__() got an unexpected keyword argument 'enable_lora'\n" | |
} |