gpt2_eval_request_False_float16_Original.json

{
    "model": "gpt2",
    "base_model": "",
    "revision": "main",
    "private": false,
    "precision": "float16",
    "params": 0.137,
    "architectures": "GPT2LMHeadModel",
    "weight_type": "Original",
    "status": "FAILED",
    "submitted_time": "2024-02-05T23:10:25Z",
    "model_type": "🟢 : pretrained",
    "source": "script",
    "job_id": 65,
    "job_start_time": "2024-02-07T14-43-02.993316",
    "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"
}