Update status of pfnet/plamo-13b_eval_request_False_float16_Original to FAILED

pfnet/plamo-13b_eval_request_False_float16_Original.json

@@ -7,11 +7,13 @@
     "params": 13.1,
     "architectures": "PlamoForCausalLM",
     "weight_type": "Original",
-    "status": "RUNNING",
+    "status": "FAILED",
     "submitted_time": "2024-02-05T23:15:14Z",
     "model_type": "🟢 : pretrained",
     "source": "script",
     "job_id": 386,
     "job_start_time": "2024-04-05T12-41-12.299366",
-    "main_language": "English"
+    "main_language": "English",
+    "error_msg": "The model class you are passing has a `config_class` attribute that is not consistent with the config class you passed (model has <class 'transformers_modules.pfnet.plamo-13b.88237e8483cdf6672faf3144f76f73f89b96d30c.modeling_plamo.PlamoConfig'> and you passed <class 'transformers_modules.pfnet.plamo-13b.88237e8483cdf6672faf3144f76f73f89b96d30c.modeling_plamo.PlamoConfig'>. Fix one of those so they match!",
+    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 240, in wait_download_and_run_request\n    run_request(\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 55, 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 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 297, in __init__\n    self._create_model(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 608, in _create_model\n    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\n                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 557, in from_pretrained\n    cls.register(config.__class__, model_class, exist_ok=True)\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/models/auto/auto_factory.py\", line 583, in register\n    raise ValueError(\nValueError: The model class you are passing has a `config_class` attribute that is not consistent with the config class you passed (model has <class 'transformers_modules.pfnet.plamo-13b.88237e8483cdf6672faf3144f76f73f89b96d30c.modeling_plamo.PlamoConfig'> and you passed <class 'transformers_modules.pfnet.plamo-13b.88237e8483cdf6672faf3144f76f73f89b96d30c.modeling_plamo.PlamoConfig'>. Fix one of those so they match!\n"
 }