Retry 3 FAILED models

AetherResearch/Cerebrum-1.0-7b_eval_request_False_float16_Original.json

@@ -7,7 +7,7 @@
     "params": 7.242,
     "architectures": "MistralForCausalLM",
     "weight_type": "Original",
-    "status": "RUNNING",
+    "status": "RERUN",
     "submitted_time": "2024-03-14T11:07:59Z",
     "model_type": "💬 : chat models (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",

allenai/tulu-2-dpo-7b_eval_request_False_bfloat16_Original.json

@@ -7,7 +7,7 @@
     "params": 7.0,
     "architectures": "LlamaForCausalLM",
     "weight_type": "Original",
-    "status": "RUNNING",
+    "status": "RERUN",
     "submitted_time": "2024-03-05T16:37:20Z",
     "model_type": "💬 : chat models (RLHF, DPO, IFT, ...)",
     "source": "leaderboard",

recogna-nlp/Phi-Bode_eval_request_False_float16_Original.json

@@ -7,12 +7,10 @@
     "params": 2.78,
     "architectures": "PhiForCausalLM",
     "weight_type": "Original",
-    "status": "FAILED",
+    "status": "RERUN",
     "submitted_time": "2024-03-14T14:43:25Z",
     "model_type": "🔶 : fine-tuned/fp on domain-specific datasets",
     "source": "leaderboard",
     "job_id": 326,
-    "job_start_time": "2024-04-01T18-26-59.239092",
-    "error_msg": "Not enough disk space. Needed: Unknown size (download: 553.45 KiB, generated: 1.21 MiB, post-processed: Unknown size)",
-    "traceback": "Traceback (most recent call last):\n  File \"/workspace/repos/llm_leaderboard/llm_leaderboard_eval_bot/evaluate_llms.py\", line 238, 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 125, in simple_evaluate\n    task_dict = lm_eval.tasks.get_task_dict(tasks)\n                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/tasks/__init__.py\", line 275, in get_task_dict\n    task_name: get_task(task_name=task_element, config=config),\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/tasks/__init__.py\", line 217, in get_task\n    return TASK_REGISTRY[task_name](config=config)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/api/task.py\", line 655, in __init__\n    self.download(self.config.dataset_kwargs)\n  File \"/workspace/repos/llm_leaderboard/lm-evaluation-harness-pt/lm_eval/api/task.py\", line 781, in download\n    self.dataset = datasets.load_dataset(\n                   ^^^^^^^^^^^^^^^^^^^^^^\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/datasets/load.py\", line 2549, in load_dataset\n    builder_instance.download_and_prepare(\n  File \"/root/miniconda3/envs/torch21/lib/python3.11/site-packages/datasets/builder.py\", line 945, in download_and_prepare\n    raise OSError(\nOSError: Not enough disk space. Needed: Unknown size (download: 553.45 KiB, generated: 1.21 MiB, post-processed: Unknown size)\n"
+    "job_start_time": "2024-04-01T18-26-59.239092"
 }