pear15-stage3-checkpoints / info /benchmark-step2260.json
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{
"checkpoint": {
"dir": "C:\\Users\\User\\AppData\\Local\\Temp\\opencode\\dl_2260\\checkpoints\\step_000000002260_8d8f81bb0f5f40ef955735bb3661ac4c",
"identity": {
"dataset_fingerprint": "03b6dc7f4e70ae679d84da9407dafaaf6b9e0abb79634ef9b95a34044397a553",
"implementation_fingerprint": "ef9af3b58d70b42a123ba689f4d88de267cbac4c2ba1eae2838bdb57d2b8a36d",
"model_factory": "pear15_owned_stage.parent_0ff259dfbf25a1ca945c6691fa4aa1497ce9066e1423bb1bf9dc9ef209b92bc7_initializer_2f14cb6a6f8b8f7740ae8d6467ed39899f5e2f2c23eae86d6a22dfa6e4cfc92f",
"model_fingerprint": "0637cd7586b6b9b5801e686b6291ed2da23d22295a3cb96eb14aa926bf330e0b",
"tokenizer": {
"eos_token_id": 2,
"name": "HuggingFaceTB/SmolLM2-135M-Instruct",
"revision": "12fd25f77366fa6b3b4b768ec3050bf629380bac",
"vocab_size": 49152
},
"train_fingerprint": "76f20908639fc8dfef64f748a14e7e9839bb6f5c6059d15034b69caddf6a1a6d"
},
"step": 2260,
"token_count": 37027840
},
"format": "pear15-benchmark-proxy-v1",
"harness": {
"batch_size": 8,
"device": "cuda:0",
"dtype": "bfloat16",
"limit_per_task": 1000,
"name": "lm-evaluation-harness",
"seed": 0,
"tasks": [
"hellaswag",
"arc_easy",
"piqa",
"winogrande"
],
"version": "0.4.13"
},
"note": "lm-evaluation-harness proxy only. NOT the official Artificial Analysis Intelligence Index and not comparable to published AA scores.",
"official_artificial_analysis_score": null,
"scores": {
"arc_easy": {
"acc,none": 0.398,
"acc_norm,none": 0.389,
"acc_norm_stderr,none": 0.015424555647308514,
"acc_stderr,none": 0.015486634102859016,
"alias": "arc_easy"
},
"hellaswag": {
"acc,none": 0.337,
"acc_norm,none": 0.365,
"acc_norm_stderr,none": 0.015231776226264848,
"acc_stderr,none": 0.014955087918653461,
"alias": "hellaswag"
},
"piqa": {
"acc,none": 0.604,
"acc_norm,none": 0.595,
"acc_norm_stderr,none": 0.01553113699045296,
"acc_stderr,none": 0.015473313265859495,
"alias": "piqa"
},
"winogrande": {
"acc,none": 0.505,
"acc_stderr,none": 0.015818508944436743,
"alias": "winogrande"
}
}
}