Update status of databricks/dbrx-base_eval_request_False_bfloat16_Original to FAILED

databricks/dbrx-base_eval_request_False_bfloat16_Original.json

@@ -8,10 +8,12 @@
     "architectures": "DbrxForCausalLM",
     "weight_type": "Original",
     "main_language": "English",
-    "status": "RUNNING",
+    "status": "FAILED",
     "submitted_time": "2024-04-07T15:38:13Z",
     "model_type": "🟢 : pretrained",
     "source": "leaderboard",
     "job_id": 499,
-    "job_start_time": "2024-04-19T08-13-24.581254"
+    "job_start_time": "2024-04-19T08-13-24.581254",
+    "error_msg": "The checkpoint you are trying to load has model type `dbrx` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.",
+    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/transformers/src/transformers/models/auto/configuration_auto.py\", line 941, in from_pretrained\n    config_class.register_for_auto_class()\n                   ^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/transformers/src/transformers/models/auto/configuration_auto.py\", line 643, in __getitem__\n    def __getitem__(self, key):\n            ^^^^^^^^^^^^^^^^^^^\nKeyError: 'dbrx'\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 217, in wait_download_and_run_request\n    else:\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 69, 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 284, in __init__\n    self._get_config(\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 537, in _get_config\n    self._config = transformers.AutoConfig.from_pretrained(\n                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/transformers/src/transformers/models/auto/configuration_auto.py\", line 943, in from_pretrained\n    elif \"model_type\" in config_dict:\n            ^^^^^^^^^^^^^^^^^^^^^^^^^\nValueError: The checkpoint you are trying to load has model type `dbrx` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.\n"
 }