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| "checkpoint": "runs\\alloy-312m-2k-lead-v2\\best.pt", | |
| "checkpoint_sha256": "928865f44252b3ff38a23f7ced73f4986e3e3951673be035b824ec15e5ee1306", | |
| "tokenizer": "runs\\alloy-312m-2k-lead-v2\\tokenizer.json", | |
| "tokenizer_sha256": "40d36acc35e5364d90fdcdae773143b7571b5ec3b7ace2030d12d4bd5a3a1025", | |
| "checkpoint_step": 15259, | |
| "tasks": [ | |
| "arc_easy", | |
| "arc_challenge", | |
| "hellaswag", | |
| "piqa", | |
| "sciq", | |
| "winogrande" | |
| ], | |
| "num_fewshot": 0, | |
| "limit": null, | |
| "bootstrap_iters": 0, | |
| "lm_eval_version": "0.4.13", | |
| "results": { | |
| "results": { | |
| "arc_easy": { | |
| "name": "arc_easy", | |
| "alias": "arc_easy", | |
| "sample_len": 2376, | |
| "acc,none": 0.49915824915824913, | |
| "acc_stderr,none": "N/A", | |
| "acc_norm,none": 0.4524410774410774, | |
| "acc_norm_stderr,none": "N/A" | |
| }, | |
| "arc_challenge": { | |
| "name": "arc_challenge", | |
| "alias": "arc_challenge", | |
| "sample_len": 1172, | |
| "acc,none": 0.21416382252559726, | |
| "acc_stderr,none": "N/A", | |
| "acc_norm,none": 0.25597269624573377, | |
| "acc_norm_stderr,none": "N/A" | |
| }, | |
| "hellaswag": { | |
| "name": "hellaswag", | |
| "alias": "hellaswag", | |
| "sample_len": 10042, | |
| "acc,none": 0.29874526986656047, | |
| "acc_stderr,none": "N/A", | |
| "acc_norm,none": 0.327823142800239, | |
| "acc_norm_stderr,none": "N/A" | |
| }, | |
| "piqa": { | |
| "name": "piqa", | |
| "alias": "piqa", | |
| "sample_len": 1838, | |
| "acc,none": 0.6294885745375408, | |
| "acc_stderr,none": "N/A", | |
| "acc_norm,none": 0.6360174102285092, | |
| "acc_norm_stderr,none": "N/A" | |
| }, | |
| "sciq": { | |
| "name": "sciq", | |
| "alias": "sciq", | |
| "sample_len": 1000, | |
| "acc,none": 0.719, | |
| "acc_stderr,none": "N/A", | |
| "acc_norm,none": 0.618, | |
| "acc_norm_stderr,none": "N/A" | |
| }, | |
| "winogrande": { | |
| "name": "winogrande", | |
| "alias": "winogrande", | |
| "sample_len": 1267, | |
| "acc,none": 0.5067087608524072, | |
| "acc_stderr,none": "N/A" | |
| } | |
| }, | |
| "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": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "default", | |
| "split": null, | |
| "process_docs": null, | |
| "fewshot_indices": null, | |
| "samples": null, | |
| "doc_to_text": "Question: {{question}}\nAnswer:", | |
| "doc_to_choice": "{{choices.text}}", | |
| "doc_to_target": "{{choices.label.index(answerKey)}}", | |
| "gen_prefix": null, | |
| "fewshot_delimiter": "\n\n", | |
| "target_delimiter": " " | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "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, | |
| "config_source": "E:\\Repos\\tiny-english-30m\\.venv\\Lib\\site-packages\\lm_eval\\tasks\\arc\\arc_challenge.yaml" | |
| } | |
| }, | |
| "arc_easy": { | |
| "task": "arc_easy", | |
| "dataset_path": "allenai/ai2_arc", | |
| "dataset_name": "ARC-Easy", | |
| "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": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "default", | |
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| "process_docs": null, | |
| "fewshot_indices": null, | |
| "samples": null, | |
| "doc_to_text": "Question: {{question}}\nAnswer:", | |
| "doc_to_choice": "{{choices.text}}", | |
| "doc_to_target": "{{choices.label.index(answerKey)}}", | |
| "gen_prefix": null, | |
| "fewshot_delimiter": "\n\n", | |
| "target_delimiter": " " | |
| }, | |
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| "metric_list": [ | |
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| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "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, | |
| "config_source": "E:\\Repos\\tiny-english-30m\\.venv\\Lib\\site-packages\\lm_eval\\tasks\\arc\\arc_easy.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", | |
| "doc_to_text": "{{query}}", | |
| "doc_to_target": "{{label}}", | |
| "unsafe_code": false, | |
| "doc_to_choice": "choices", | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
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| "split": null, | |
| "process_docs": "<function process_docs at 0x0000018C64FED620>", | |
| "fewshot_indices": null, | |
| "samples": null, | |
| "doc_to_text": "{{query}}", | |
| "doc_to_choice": "choices", | |
| "doc_to_target": "{{label}}", | |
| "gen_prefix": null, | |
| "fewshot_delimiter": "\n\n", | |
| "target_delimiter": " " | |
| }, | |
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| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc_norm", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.0, | |
| "config_source": "E:\\Repos\\tiny-english-30m\\.venv\\Lib\\site-packages\\lm_eval\\tasks\\hellaswag\\hellaswag.yaml" | |
| } | |
| }, | |
| "piqa": { | |
| "task": "piqa", | |
| "dataset_path": "baber/piqa", | |
| "training_split": "train", | |
| "validation_split": "validation", | |
| "doc_to_text": "Question: {{goal}}\nAnswer:", | |
| "doc_to_target": "label", | |
| "unsafe_code": false, | |
| "doc_to_choice": "{{[sol1, sol2]}}", | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "default", | |
| "split": null, | |
| "process_docs": null, | |
| "fewshot_indices": null, | |
| "samples": null, | |
| "doc_to_text": "Question: {{goal}}\nAnswer:", | |
| "doc_to_choice": "{{[sol1, sol2]}}", | |
| "doc_to_target": "label", | |
| "gen_prefix": null, | |
| "fewshot_delimiter": "\n\n", | |
| "target_delimiter": " " | |
| }, | |
| "num_fewshot": 0, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc_norm", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "goal", | |
| "metadata": { | |
| "version": 1.0, | |
| "config_source": "E:\\Repos\\tiny-english-30m\\.venv\\Lib\\site-packages\\lm_eval\\tasks\\piqa\\piqa.yaml" | |
| } | |
| }, | |
| "sciq": { | |
| "task": "sciq", | |
| "dataset_path": "allenai/sciq", | |
| "training_split": "train", | |
| "validation_split": "validation", | |
| "test_split": "test", | |
| "doc_to_text": "{{support.lstrip()}}\nQuestion: {{question}}\nAnswer:", | |
| "doc_to_target": 3, | |
| "unsafe_code": false, | |
| "doc_to_choice": "{{[distractor1, distractor2, distractor3, correct_answer]}}", | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
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| "fewshot_indices": null, | |
| "samples": null, | |
| "doc_to_text": "{{support.lstrip()}}\nQuestion: {{question}}\nAnswer:", | |
| "doc_to_choice": "{{[distractor1, distractor2, distractor3, correct_answer]}}", | |
| "doc_to_target": 3, | |
| "gen_prefix": null, | |
| "fewshot_delimiter": "\n\n", | |
| "target_delimiter": " " | |
| }, | |
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| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc_norm", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "{{support}} {{question}}", | |
| "metadata": { | |
| "version": 1.0, | |
| "config_source": "E:\\Repos\\tiny-english-30m\\.venv\\Lib\\site-packages\\lm_eval\\tasks\\sciq\\sciq.yaml" | |
| } | |
| }, | |
| "winogrande": { | |
| "task": "winogrande", | |
| "dataset_path": "allenai/winogrande", | |
| "dataset_name": "winogrande_xl", | |
| "training_split": "train", | |
| "validation_split": "validation", | |
| "doc_to_text": "def doc_to_text(doc):\n answer_to_num = {\"1\": 0, \"2\": 1}\n return answer_to_num[doc[\"answer\"]]\n", | |
| "doc_to_target": "def doc_to_target(doc):\n idx = doc[\"sentence\"].index(\"_\") + 1\n return doc[\"sentence\"][idx:].strip()\n", | |
| "unsafe_code": false, | |
| "doc_to_choice": "def doc_to_choice(doc):\n idx = doc[\"sentence\"].index(\"_\")\n options = [doc[\"option1\"], doc[\"option2\"]]\n return [doc[\"sentence\"][:idx] + opt for opt in options]\n", | |
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| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "sentence", | |
| "metadata": { | |
| "version": 1.0, | |
| "config_source": "E:\\Repos\\tiny-english-30m\\.venv\\Lib\\site-packages\\lm_eval\\tasks\\winogrande\\default.yaml" | |
| } | |
| } | |
| }, | |
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| "git_hash": "8a46cd5", | |
| "date": 1790814588.8014357, | |
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