eduagarcia commited on
Commit
86a1ef7
1 Parent(s): 738d96a

Update status of AIDC-AI/Ovis1.5-Llama3-8B_eval_request_fb8c34a_False_bfloat16_Original to FAILED

Browse files
AIDC-AI/Ovis1.5-Llama3-8B_eval_request_fb8c34a_False_bfloat16_Original.json CHANGED
@@ -8,10 +8,12 @@
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  "architectures": "Ovis",
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  "weight_type": "Original",
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  "main_language": "English",
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- "status": "RUNNING",
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  "submitted_time": "2024-09-18T02:41:23Z",
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  "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
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  "source": "leaderboard",
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  "job_id": 1096,
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- "job_start_time": "2024-09-22T04-33-19.526440"
 
 
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  }
 
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  "architectures": "Ovis",
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  "weight_type": "Original",
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  "main_language": "English",
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+ "status": "FAILED",
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  "submitted_time": "2024-09-18T02:41:23Z",
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  "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
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  "source": "leaderboard",
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  "job_id": 1096,
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+ "job_start_time": "2024-09-22T04-33-19.526440",
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+ "error_msg": "Ovis.forward() missing 3 required positional arguments: 'attention_mask', 'labels', and 'pixel_values'",
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+ "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 71, 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 159, in simple_evaluate\n results = 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 343, in evaluate\n resps = getattr(lm, reqtype)(cloned_reqs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 1433, in generate_until\n batch_size, _ = self._detect_batch_size_and_length()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 822, in _detect_batch_size_and_length\n batch_size, max_length = forward_batch()\n ^^^^^^^^^^^^^^^\n File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 150, in decorator\n return function(batch_size, max_length, *args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 818, in forward_batch\n out = F.log_softmax(self._model_call(test_batch, **call_kwargs), dim=-1) # noqa: F841\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/models/huggingface.py\", line 1059, in _model_call\n return self.model(inps).logits\n ^^^^^^^^^^^^^^^^\n File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1518, in _wrapped_call_impl\n return self._call_impl(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/torch/nn/modules/module.py\", line 1527, in _call_impl\n return forward_call(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nTypeError: Ovis.forward() missing 3 required positional arguments: 'attention_mask', 'labels', and 'pixel_values'\n"
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  }