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| "batch_sizes": [], | |
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| "device": "cuda", | |
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| "model": "MicroLoopHarnessLM", | |
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| "dataset_name": "ARC-Challenge", | |
| "dataset_path": "allenai/ai2_arc", | |
| "description": "", | |
| "doc_to_choice": "{{choices.text}}", | |
| "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", | |
| "doc_to_target": "{{choices.label.index(answerKey)}}", | |
| "doc_to_text": "Question: {{question}}\nAnswer:", | |
| "fewshot_config": { | |
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| "doc_to_target": "{{choices.label.index(answerKey)}}", | |
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| "fewshot_delimiter": "\n\n", | |
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| "target_delimiter": " " | |
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| "metadata": { | |
| "config_source": "D:\\llm\\hummingbird\\.venv\\Lib\\site-packages\\lm_eval\\tasks\\arc\\arc_challenge.yaml", | |
| "version": 1.0 | |
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| "metric_list": [ | |
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| "validation_split": "validation" | |
| }, | |
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| "dataset_path": "allenai/ai2_arc", | |
| "description": "", | |
| "doc_to_choice": "{{choices.text}}", | |
| "doc_to_decontamination_query": "Question: {{question}}\nAnswer:", | |
| "doc_to_target": "{{choices.label.index(answerKey)}}", | |
| "doc_to_text": "Question: {{question}}\nAnswer:", | |
| "fewshot_config": { | |
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| "doc_to_target": "{{choices.label.index(answerKey)}}", | |
| "doc_to_text": "Question: {{question}}\nAnswer:", | |
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| "target_delimiter": " " | |
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| "fewshot_delimiter": "\n\n", | |
| "metadata": { | |
| "config_source": "D:\\llm\\hummingbird\\.venv\\Lib\\site-packages\\lm_eval\\tasks\\arc\\arc_easy.yaml", | |
| "version": 1.0 | |
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| "test_split": "test", | |
| "training_split": "train", | |
| "unsafe_code": false, | |
| "validation_split": "validation" | |
| }, | |
| "hellaswag": { | |
| "dataset_path": "Rowan/hellaswag", | |
| "description": "", | |
| "doc_to_choice": "choices", | |
| "doc_to_target": "{{label}}", | |
| "doc_to_text": "{{query}}", | |
| "fewshot_config": { | |
| "doc_to_choice": "choices", | |
| "doc_to_target": "{{label}}", | |
| "doc_to_text": "{{query}}", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_indices": null, | |
| "gen_prefix": null, | |
| "process_docs": "<callable function>", | |
| "sampler": "default", | |
| "samples": null, | |
| "split": null, | |
| "target_delimiter": " " | |
| }, | |
| "fewshot_delimiter": "\n\n", | |
| "metadata": { | |
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| "version": 1.0 | |
| }, | |
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| "metric": "acc_norm" | |
| } | |
| ], | |
| "num_fewshot": 0, | |
| "output_type": "multiple_choice", | |
| "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", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "target_delimiter": " ", | |
| "task": "hellaswag", | |
| "training_split": "train", | |
| "unsafe_code": false, | |
| "validation_split": "validation" | |
| }, | |
| "piqa": { | |
| "dataset_path": "baber/piqa", | |
| "description": "", | |
| "doc_to_choice": "{{[sol1, sol2]}}", | |
| "doc_to_decontamination_query": "goal", | |
| "doc_to_target": "label", | |
| "doc_to_text": "Question: {{goal}}\nAnswer:", | |
| "fewshot_config": { | |
| "doc_to_choice": "{{[sol1, sol2]}}", | |
| "doc_to_target": "label", | |
| "doc_to_text": "Question: {{goal}}\nAnswer:", | |
| "fewshot_delimiter": "\n\n", | |
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| "metric": "acc_norm" | |
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| } | |
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| "date": 1790004139.4918497, | |
| "frost_evaluation": { | |
| "batch_size": 64, | |
| "checkpoint": "D:\\llm\\hummingbird\\artifacts\\runs\\flightmix_10b_balanced_10m_muon_lrfix_20260921\\checkpoint-tokens-10000000000", | |
| "device": "cuda", | |
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| "tokenizer": "D:\\llm\\hummingbird\\artifacts\\runs\\e3_tokenizers\\tok_4k_digit" | |
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| "git_hash": "9ac6cbb", | |
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| "original": 1172 | |
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| "original": 2376 | |
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| "original": 10042 | |
| }, | |
| "piqa": { | |
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| "original": 1838 | |
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| "pretty_env_info": "PyTorch version: 2.10.0+cu128\nIs debug build: False\nCUDA used to build PyTorch: 12.8\nROCM used to build PyTorch: N/A\n\nOS: Microsoft Windows 11 Pro (10.0.26200 64-bit)\nGCC version: Could not collect\nClang version: Could not collect\nCMake version: version 4.3.3\nLibc version: N/A\n\nPython version: 3.13.2 (tags/v3.13.2:4f8bb39, Feb 4 2025, 15:23:48) [MSC v.1942 64 bit (AMD64)] (64-bit runtime)\nPython platform: Windows-11-10.0.26200-SP0\nIs CUDA available: True\nCUDA runtime version: 13.3.73\r\nCUDA_MODULE_LOADING set to: \nGPU models and configuration: GPU 0: NVIDIA GeForce RTX 4070\nNvidia driver version: Could not collect\ncuDNN version: Could not collect\nIs XPU available: False\nHIP runtime version: N/A\nMIOpen runtime version: N/A\nIs XNNPACK available: True\nCaching allocator config: N/A\n\nCPU:\nName: AMD Ryzen 5 5600X 6-Core Processor \nManufacturer: AuthenticAMD\nFamily: 107\nArchitecture: 9\nProcessorType: 3\nDeviceID: CPU0\nCurrentClockSpeed: 3701\nMaxClockSpeed: 3701\nL2CacheSize: 3072\nL2CacheSpeed: None\nRevision: 8450\n\nVersions of relevant libraries:\n[pip3] numpy==2.3.5\n[pip3] torch==2.10.0+cu128\n[pip3] triton-windows==3.6.0.post26\n[conda] Could not collect", | |
| "results": { | |
| "arc_challenge": { | |
| "acc,none": 0.17918088737201365, | |
| "acc_norm,none": 0.21160409556313994, | |
| "acc_norm_stderr,none": 0.011935916358632793, | |
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| "name": "arc_easy", | |
| "sample_len": 2376 | |
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| "hellaswag": { | |
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| "acc_norm,none": 0.27633937462656843, | |
| "acc_norm_stderr,none": 0.004462727543055927, | |
| "acc_stderr,none": 0.004425182676353205, | |
| "alias": "hellaswag", | |
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| "sample_len": 10042 | |
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| "piqa": { | |
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| "acc_norm_stderr,none": 0.011537375448519308, | |
| "acc_stderr,none": 0.01148086057719274, | |
| "alias": "piqa", | |
| "name": "piqa", | |
| "sample_len": 1838 | |
| } | |
| }, | |
| "transformers_version": "5.14.1", | |
| "upper_git_hash": null, | |
| "versions": { | |
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| "piqa": 1.0 | |
| } | |
| } |