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| "acc_norm,none": 0.34534953196574386, | |
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| "arc_challenge": { | |
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| "acc_norm_stderr,none": 0.012445770028026208 | |
| } | |
| }, | |
| "group_subtasks": {}, | |
| "configs": { | |
| "arc_challenge": { | |
| "task": "arc_challenge", | |
| "dataset_path": "allenai/ai2_arc", | |
| "dataset_name": "ARC-Challenge", | |
| "training_split": "train", | |
| "validation_split": "validation", | |
| "test_split": "test", | |
| "doc_to_text": "Question: {{question}}\nAnswer:", | |
| "doc_to_target": "{{choices.label.index(answerKey)}}", | |
| "unsafe_code": false, | |
| "doc_to_choice": "{{choices.text}}", | |
| "description": "", | |
| "target_delimiter": " ", | |
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| "process_docs": null, | |
| "fewshot_indices": null, | |
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| "doc_to_text": "Question: {{question}}\nAnswer:", | |
| "doc_to_choice": "{{choices.text}}", | |
| "doc_to_target": "{{choices.label.index(answerKey)}}", | |
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| "fewshot_delimiter": "\n\n", | |
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| "metric": "acc_norm", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", | |
| "metadata": { | |
| "version": 1.0, | |
| "pretrained": "absltnull/predBor-v0.5", | |
| "config_source": "C:\\Users\\User\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\lm_eval\\tasks\\arc\\arc_challenge.yaml" | |
| } | |
| }, | |
| "hellaswag": { | |
| "task": "hellaswag", | |
| "dataset_path": "Rowan/hellaswag", | |
| "training_split": "train", | |
| "validation_split": "validation", | |
| "process_docs": "def process_docs(dataset: datasets.Dataset) -> datasets.Dataset:\n def _process_doc(doc):\n ctx = doc[\"ctx_a\"] + \" \" + doc[\"ctx_b\"].capitalize()\n out_doc = {\n \"query\": preprocess(doc[\"activity_label\"] + \": \" + ctx),\n \"choices\": [preprocess(ending) for ending in doc[\"endings\"]],\n \"gold\": int(doc[\"label\"]),\n }\n return out_doc\n\n return dataset.map(_process_doc)\n", | |
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| "doc_to_target": "{{label}}", | |
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| "fewshot_delimiter": "\n\n", | |
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| "process_docs": "<function process_docs at 0x00000137B2E4BBE0>", | |
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| "doc_to_text": "{{query}}", | |
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