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Numbers-and-ids export for the Tiny Aya compression study (no prompts or answers)
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{
"label": "c2",
"size_mb": 6388.14453125,
"limit": null,
"spec": {
"model": "tiny-aya-c2@~/Lexsi/Ganesh/out/c2-lr3e-05-merged#af918210b5e1",
"generation": {
"max_tokens": 128,
"temperature": 0
},
"batch_size": 16,
"stop_ids": [
6,
3
],
"tokenizer": {
"name": "CohereLabs/tiny-aya-global",
"vocab": 261008,
"chat_template_md5": "129bc8ce1e71ca856b823478bfff2c70"
},
"scoring": "v1: rouge_score rougeL recall stemmed; lp = mean per token of gold tokens, fp32 log_softmax; TOFU truth ratio; MMLU first-letter",
"prompts": {
"forget": "143f081ae0c6d58eebd2d230c5418fab",
"retain": "00efdae19470daef22f7e54581c7487b",
"mmlu_en": "82865ec850579ba8026c39ffabc02f3b",
"mmlu_hi": "4107ec4c1fa2417d8e3d75715e3f258f"
}
},
"sets": {
"forget": {
"n": 400,
"rougeL_recall": 0.4967327937709532,
"lp_answer": -1.7399076653605414,
"truth_ratio_tofu": 0.4415588976398951
},
"retain": {
"n": 400,
"rougeL_recall": 0.8789141488648653,
"lp_answer": -0.11931348214490285,
"truth_ratio_tofu": 0.5288661585363745
},
"mmlu_en": {
"n": 500,
"accuracy": 0.522
},
"mmlu_hi": {
"n": 200,
"accuracy": 0.5
}
}
}