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2e868e2
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Parent(s):
b119e63
Update status of Alibaba-NLP/gte-Qwen2-7B-instruct_eval_request_e26182b_False_bfloat16_Original to FAILED
Browse files
Alibaba-NLP/gte-Qwen2-7B-instruct_eval_request_e26182b_False_bfloat16_Original.json
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@@ -8,10 +8,12 @@
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"architectures": "Qwen2ForCausalLM",
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"weight_type": "Original",
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"main_language": "English",
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"status": "
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"submitted_time": "2024-08-01T19:47:27Z",
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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": 979,
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"job_start_time": "2024-08-08T03-00-24.963139"
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}
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"architectures": "Qwen2ForCausalLM",
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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": "2024-08-01T19:47:27Z",
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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": 979,
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"job_start_time": "2024-08-08T03-00-24.963139",
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"error_msg": "'NoneType' object has no attribute 'shape'",
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"traceback": "Traceback (most recent call last):\n File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 198, 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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/datasets/hf_cache/modules/transformers_modules/Alibaba-NLP/gte-Qwen2-7B-instruct/e26182b2122f4435e8b3ebecbf363990f409b45b/modeling_qwen.py\", line 1198, in forward\n outputs = self.model(\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 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/workspace/datasets/hf_cache/modules/transformers_modules/Alibaba-NLP/gte-Qwen2-7B-instruct/e26182b2122f4435e8b3ebecbf363990f409b45b/modeling_qwen.py\", line 1038, in forward\n attention_mask = _prepare_4d_attention_mask_for_sdpa(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/transformers/modeling_attn_mask_utils.py\", line 439, in _prepare_4d_attention_mask_for_sdpa\n _, key_value_length = mask.shape\n ^^^^^^^^^^\nAttributeError: 'NoneType' object has no attribute 'shape'\n"
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}
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