{ "config": { "batch_size": 64, "batch_sizes": [], "bootstrap_iters": 100000, "device": "cuda", "fewshot_seed": 1234, "gen_kwargs": null, "limit": null, "model": "MicroLoopHarnessLM", "model_args": null, "numpy_seed": 1234, "random_seed": 0, "torch_seed": 1234, "use_cache": null }, "configs": { "arc_challenge": { "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": { "doc_to_choice": "{{choices.text}}", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_delimiter": "\n\n", "fewshot_indices": null, "gen_prefix": null, "process_docs": null, "sampler": "default", "samples": null, "split": null, "target_delimiter": " " }, "fewshot_delimiter": "\n\n", "metadata": { "config_source": "D:\\llm\\hummingbird\\.venv\\Lib\\site-packages\\lm_eval\\tasks\\arc\\arc_challenge.yaml", "version": 1.0 }, "metric_list": [ { "aggregation": "mean", "higher_is_better": true, "metric": "acc" }, { "aggregation": "mean", "higher_is_better": true, "metric": "acc_norm" } ], "num_fewshot": 0, "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": true, "target_delimiter": " ", "task": "arc_challenge", "test_split": "test", "training_split": "train", "unsafe_code": false, "validation_split": "validation" }, "arc_easy": { "dataset_name": "ARC-Easy", "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": { "doc_to_choice": "{{choices.text}}", "doc_to_target": "{{choices.label.index(answerKey)}}", "doc_to_text": "Question: {{question}}\nAnswer:", "fewshot_delimiter": "\n\n", "fewshot_indices": null, "gen_prefix": null, "process_docs": null, "sampler": "default", "samples": null, "split": null, "target_delimiter": " " }, "fewshot_delimiter": "\n\n", "metadata": { "config_source": "D:\\llm\\hummingbird\\.venv\\Lib\\site-packages\\lm_eval\\tasks\\arc\\arc_easy.yaml", "version": 1.0 }, "metric_list": [ { "aggregation": "mean", "higher_is_better": true, "metric": "acc" }, { "aggregation": "mean", "higher_is_better": true, "metric": "acc_norm" } ], "num_fewshot": 0, "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": true, "target_delimiter": " ", "task": "arc_easy", "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": "", "sampler": "default", "samples": null, "split": null, "target_delimiter": " " }, "fewshot_delimiter": "\n\n", "metadata": { "config_source": "D:\\llm\\hummingbird\\.venv\\Lib\\site-packages\\lm_eval\\tasks\\hellaswag\\hellaswag.yaml", "version": 1.0 }, "metric_list": [ { "aggregation": "mean", "higher_is_better": true, "metric": "acc" }, { "aggregation": "mean", "higher_is_better": true, "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", "fewshot_indices": null, "gen_prefix": null, "process_docs": null, "sampler": "default", "samples": null, "split": null, "target_delimiter": " " }, "fewshot_delimiter": "\n\n", "metadata": { "config_source": "D:\\llm\\hummingbird\\.venv\\Lib\\site-packages\\lm_eval\\tasks\\piqa\\piqa.yaml", "version": 1.0 }, "metric_list": [ { "aggregation": "mean", "higher_is_better": true, "metric": "acc" }, { "aggregation": "mean", "higher_is_better": true, "metric": "acc_norm" } ], "num_fewshot": 0, "output_type": "multiple_choice", "repeats": 1, "should_decontaminate": true, "target_delimiter": " ", "task": "piqa", "training_split": "train", "unsafe_code": false, "validation_split": "validation" } }, "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", "loop_count": 1, "num_fewshot": 0, "numeric_serialization": "none", "qk_norm_position": null, "tokenizer": "D:\\llm\\hummingbird\\artifacts\\runs\\e3_tokenizers\\tok_4k_digit" }, "git_hash": "9ac6cbb", "group_subtasks": {}, "higher_is_better": { "arc_challenge": { "acc": true, "acc_norm": true }, "arc_easy": { "acc": true, "acc_norm": true }, "hellaswag": { "acc": true, "acc_norm": true }, "piqa": { "acc": true, "acc_norm": true } }, "lm_eval_version": "0.4.12", "n-samples": { "arc_challenge": { "effective": 1172, "original": 1172 }, "arc_easy": { "effective": 2376, "original": 2376 }, "hellaswag": { "effective": 10042, "original": 10042 }, "piqa": { "effective": 1838, "original": 1838 } }, "n-shot": { "arc_challenge": 0, "arc_easy": 0, "hellaswag": 0, "piqa": 0 }, "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, "acc_stderr,none": 0.011207045216615686, "alias": "arc_challenge", "name": "arc_challenge", "sample_len": 1172 }, "arc_easy": { "acc,none": 0.4048821548821549, "acc_norm,none": 0.3939393939393939, "acc_norm_stderr,none": 0.010026305355981951, "acc_stderr,none": 0.010072423960395665, "alias": "arc_easy", "name": "arc_easy", "sample_len": 2376 }, "hellaswag": { "acc,none": 0.2689703246365266, "acc_norm,none": 0.27633937462656843, "acc_norm_stderr,none": 0.004462727543055927, "acc_stderr,none": 0.004425182676353205, "alias": "hellaswag", "name": "hellaswag", "sample_len": 10042 }, "piqa": { "acc,none": 0.588683351468988, "acc_norm,none": 0.573993471164309, "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": { "arc_challenge": 1.0, "arc_easy": 1.0, "hellaswag": 1.0, "piqa": 1.0 } }