llm_pt_leaderboard_requests
/
baichuan-inc
/Baichuan2-13B-Base_eval_request_False_bfloat16_Original.json
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Update status of baichuan-inc/Baichuan2-13B-Base_eval_request_False_bfloat16_Original to FAILED
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{ | |
"model": "baichuan-inc/Baichuan2-13B-Base", | |
"base_model": "", | |
"revision": "main", | |
"private": false, | |
"precision": "bfloat16", | |
"params": 13.0, | |
"architectures": "BaichuanForCausalLM", | |
"weight_type": "Original", | |
"status": "FAILED", | |
"submitted_time": "2024-02-05T23:08:33Z", | |
"model_type": "🟢 : pretrained", | |
"source": "script", | |
"job_id": 51, | |
"job_start_time": "2024-02-07T11-39-52.799043", | |
"error_msg": "CUDA error: an illegal memory access was encountered\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.\nCompile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.\n", | |
"traceback": "Traceback (most recent call last):\n File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 187, 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 81, in simple_evaluate\n torch.manual_seed(\n File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/torch/random.py\", line 40, in manual_seed\n torch.cuda.manual_seed_all(seed)\n File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/torch/cuda/random.py\", line 124, in manual_seed_all\n _lazy_call(cb, seed_all=True)\n File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/torch/cuda/__init__.py\", line 229, in _lazy_call\n callable()\n File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/torch/cuda/random.py\", line 122, in cb\n default_generator.manual_seed(seed)\nRuntimeError: CUDA error: an illegal memory access was encountered\nCUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.\nFor debugging consider passing CUDA_LAUNCH_BLOCKING=1.\nCompile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.\n\n" | |
} |