decider-4b-tr / eval_report.json
hayriyigit's picture
decider LoRA fine-tune
241be87 verified
Raw History Blame Contribute Delete
15.6 kB
{
"model": "decider-4b-v2.1-tr-lora",
"path": "/workspace/laya/decider_run/model",
"revision": "eb5fbdfc9448473ec25e399882912863afbdb70e",
"fp8_layers": 0,
"limit": 0,
"skipped": {},
"seconds": 3595,
"report": {
"all": {
"n": 101716,
"accuracy": 0.7962,
"brier": 0.2653,
"nll": 0.53,
"ece": 0.0203
},
"source/bev_tr": {
"n": 46320,
"accuracy": 0.8382,
"brier": 0.2215,
"nll": 0.3964,
"ece": 0.0092
},
"source/bev_tr/choice": {
"n": 18808,
"accuracy": 0.8465,
"brier": 0.214,
"nll": 0.3982,
"ece": 0.009
},
"source/bev_tr/noul": {
"n": 17572,
"accuracy": 0.9029,
"brier": 0.1396,
"nll": 0.2281,
"ece": 0.0099
},
"source/bev_tr/score": {
"n": 9940,
"accuracy": 0.708,
"brier": 0.3805,
"nll": 0.6904,
"ece": 0.018
},
"source/bev_tr_en": {
"n": 5766,
"accuracy": 0.7542,
"brier": 0.3138,
"nll": 0.5674,
"ece": 0.0126
},
"source/bev_tr_en/choice": {
"n": 2386,
"accuracy": 0.7812,
"brier": 0.3036,
"nll": 0.5762,
"ece": 0.0289
},
"source/bev_tr_en/noul": {
"n": 2117,
"accuracy": 0.8734,
"brier": 0.1665,
"nll": 0.2696,
"ece": 0.0262
},
"source/bev_tr_en/score": {
"n": 1263,
"accuracy": 0.5036,
"brier": 0.5799,
"nll": 1.0501,
"ece": 0.0373
},
"source/beyazperde_tr": {
"n": 5000,
"accuracy": 0.6336,
"brier": 0.4769,
"nll": 0.8667,
"ece": 0.0402
},
"source/beyazperde_tr/score": {
"n": 5000,
"accuracy": 0.6336,
"brier": 0.4769,
"nll": 0.8667,
"ece": 0.0402
},
"source/jev_bench_tr": {
"n": 22773,
"accuracy": 0.7078,
"brier": 0.3407,
"nll": 0.821,
"ece": 0.051
},
"source/jev_bench_tr/choice": {
"n": 9599,
"accuracy": 0.7316,
"brier": 0.2873,
"nll": 0.9497,
"ece": 0.0593
},
"source/jev_bench_tr/noul": {
"n": 7174,
"accuracy": 0.8246,
"brier": 0.2226,
"nll": 0.4021,
"ece": 0.0458
},
"source/jev_bench_tr/score": {
"n": 6000,
"accuracy": 0.5298,
"brier": 0.5675,
"nll": 1.1159,
"ece": 0.0453
},
"source/jev_bench_tr_en": {
"n": 2000,
"accuracy": 0.7705,
"brier": 0.2689,
"nll": 0.6936,
"ece": 0.0351
},
"source/jev_bench_tr_en/choice": {
"n": 839,
"accuracy": 0.7926,
"brier": 0.2156,
"nll": 0.8206,
"ece": 0.0399
},
"source/jev_bench_tr_en/noul": {
"n": 635,
"accuracy": 0.8945,
"brier": 0.1434,
"nll": 0.2821,
"ece": 0.0208
},
"source/jev_bench_tr_en/score": {
"n": 526,
"accuracy": 0.5856,
"brier": 0.5053,
"nll": 0.988,
"ece": 0.0867
},
"source/massive_tr": {
"n": 2974,
"accuracy": 0.8705,
"brier": 0.1941,
"nll": 0.5568,
"ece": 0.0362
},
"source/massive_tr/choice": {
"n": 2974,
"accuracy": 0.8705,
"brier": 0.1941,
"nll": 0.5568,
"ece": 0.0362
},
"source/squad_tr": {
"n": 11873,
"accuracy": 0.8619,
"brier": 0.2028,
"nll": 0.3322,
"ece": 0.0168
},
"source/squad_tr/noul": {
"n": 11873,
"accuracy": 0.8619,
"brier": 0.2028,
"nll": 0.3322,
"ece": 0.0168
},
"source/xnli_tr": {
"n": 5010,
"accuracy": 0.8315,
"brier": 0.2488,
"nll": 0.4509,
"ece": 0.0151
},
"source/xnli_tr/choice": {
"n": 5010,
"accuracy": 0.8315,
"brier": 0.2488,
"nll": 0.4509,
"ece": 0.0151
},
"type/choice": {
"n": 39616,
"accuracy": 0.8135,
"brier": 0.2401,
"nll": 0.5701,
"ece": 0.0214
},
"type/noul": {
"n": 39371,
"accuracy": 0.8746,
"brier": 0.1753,
"nll": 0.2943,
"ece": 0.0177
},
"type/score": {
"n": 22729,
"accuracy": 0.6304,
"brier": 0.465,
"nll": 0.8684,
"ece": 0.0235
},
"workflow/bev_tr/Browser interaction": {
"n": 286,
"accuracy": 0.8497,
"brier": 0.1897,
"nll": 0.3352,
"ece": 0.0394
},
"workflow/bev_tr/Civic and safety operations": {
"n": 261,
"accuracy": 0.7701,
"brier": 0.3154,
"nll": 0.6527,
"ece": 0.0616
},
"workflow/bev_tr/Contract evidence": {
"n": 320,
"accuracy": 0.8375,
"brier": 0.2302,
"nll": 0.4253,
"ece": 0.0491
},
"workflow/bev_tr/Engagement and ranking": {
"n": 82,
"accuracy": 0.6463,
"brier": 0.4851,
"nll": 0.6918,
"ece": 0.1104
},
"workflow/bev_tr/Financial reporting and banking": {
"n": 1740,
"accuracy": 0.8264,
"brier": 0.2371,
"nll": 0.4219,
"ece": 0.0215
},
"workflow/bev_tr/Game-state decisions": {
"n": 2039,
"accuracy": 0.8794,
"brier": 0.1475,
"nll": 0.2267,
"ece": 0.0145
},
"workflow/bev_tr/Reading comprehension": {
"n": 1422,
"accuracy": 0.8643,
"brier": 0.1945,
"nll": 0.3188,
"ece": 0.0163
},
"workflow/bev_tr/Response preference and quality": {
"n": 3176,
"accuracy": 0.6382,
"brier": 0.4731,
"nll": 0.8563,
"ece": 0.0269
},
"workflow/bev_tr/Retail, product, and shopping": {
"n": 6601,
"accuracy": 0.9365,
"brier": 0.0922,
"nll": 0.1653,
"ece": 0.0122
},
"workflow/bev_tr/Scientific and paper understanding": {
"n": 508,
"accuracy": 0.8346,
"brier": 0.248,
"nll": 0.4421,
"ece": 0.0278
},
"workflow/bev_tr/Sensory quality rating": {
"n": 260,
"accuracy": 0.4,
"brier": 0.6968,
"nll": 1.3241,
"ece": 0.0533
},
"workflow/bev_tr/Sentiment, emotion, and moderation": {
"n": 11526,
"accuracy": 0.8647,
"brier": 0.1892,
"nll": 0.3338,
"ece": 0.0152
},
"workflow/bev_tr/Software engineering and code": {
"n": 2039,
"accuracy": 0.7229,
"brier": 0.3732,
"nll": 0.7028,
"ece": 0.0368
},
"workflow/bev_tr/Software security": {
"n": 2240,
"accuracy": 0.6879,
"brier": 0.4086,
"nll": 0.7059,
"ece": 0.0458
},
"workflow/bev_tr/Spam detection": {
"n": 271,
"accuracy": 0.9779,
"brier": 0.0284,
"nll": 0.0569,
"ece": 0.0159
},
"workflow/bev_tr/Spatial and logical reasoning": {
"n": 8384,
"accuracy": 0.7832,
"brier": 0.3054,
"nll": 0.5545,
"ece": 0.0198
},
"workflow/bev_tr/Support and intent routing": {
"n": 2858,
"accuracy": 0.971,
"brier": 0.0462,
"nll": 0.087,
"ece": 0.011
},
"workflow/bev_tr/Tool and workflow decisions": {
"n": 2307,
"accuracy": 0.9866,
"brier": 0.0197,
"nll": 0.0423,
"ece": 0.0068
},
"workflow/bev_tr_en/Browser interaction": {
"n": 39,
"accuracy": 0.7692,
"brier": 0.2566,
"nll": 0.4157,
"ece": 0.1178
},
"workflow/bev_tr_en/Civic and safety operations": {
"n": 31,
"accuracy": 0.5484,
"brier": 0.5519,
"nll": 0.9665,
"ece": 0.2049
},
"workflow/bev_tr_en/Contract evidence": {
"n": 49,
"accuracy": 0.7959,
"brier": 0.3148,
"nll": 0.5499,
"ece": 0.1107
},
"workflow/bev_tr_en/Engagement and ranking": {
"n": 6,
"accuracy": 0.6667,
"brier": 0.4327,
"nll": 0.6113,
"ece": 0.278
},
"workflow/bev_tr_en/Financial reporting and banking": {
"n": 196,
"accuracy": 0.6531,
"brier": 0.4856,
"nll": 0.975,
"ece": 0.1033
},
"workflow/bev_tr_en/Game-state decisions": {
"n": 303,
"accuracy": 0.835,
"brier": 0.2434,
"nll": 0.4021,
"ece": 0.0929
},
"workflow/bev_tr_en/Reading comprehension": {
"n": 168,
"accuracy": 0.9048,
"brier": 0.1584,
"nll": 0.2737,
"ece": 0.0486
},
"workflow/bev_tr_en/Response preference and quality": {
"n": 389,
"accuracy": 0.5604,
"brier": 0.5324,
"nll": 0.9589,
"ece": 0.0574
},
"workflow/bev_tr_en/Retail, product, and shopping": {
"n": 902,
"accuracy": 0.6896,
"brier": 0.3378,
"nll": 0.5532,
"ece": 0.1003
},
"workflow/bev_tr_en/Scientific and paper understanding": {
"n": 66,
"accuracy": 0.7424,
"brier": 0.3035,
"nll": 0.5148,
"ece": 0.1262
},
"workflow/bev_tr_en/Sensory quality rating": {
"n": 37,
"accuracy": 0.2432,
"brier": 0.7863,
"nll": 1.5804,
"ece": 0.1299
},
"workflow/bev_tr_en/Sentiment, emotion, and moderation": {
"n": 1439,
"accuracy": 0.8457,
"brier": 0.202,
"nll": 0.3659,
"ece": 0.0443
},
"workflow/bev_tr_en/Software engineering and code": {
"n": 260,
"accuracy": 0.7077,
"brier": 0.3893,
"nll": 0.7283,
"ece": 0.076
},
"workflow/bev_tr_en/Software security": {
"n": 234,
"accuracy": 0.5556,
"brier": 0.5142,
"nll": 0.8403,
"ece": 0.0889
},
"workflow/bev_tr_en/Spam detection": {
"n": 23,
"accuracy": 1.0,
"brier": 0.0001,
"nll": 0.006,
"ece": 0.006
},
"workflow/bev_tr_en/Spatial and logical reasoning": {
"n": 1042,
"accuracy": 0.6823,
"brier": 0.4407,
"nll": 0.8513,
"ece": 0.0635
},
"workflow/bev_tr_en/Support and intent routing": {
"n": 310,
"accuracy": 0.9581,
"brier": 0.0834,
"nll": 0.1668,
"ece": 0.0519
},
"workflow/bev_tr_en/Tool and workflow decisions": {
"n": 272,
"accuracy": 0.9779,
"brier": 0.0379,
"nll": 0.074,
"ece": 0.0203
},
"workflow/beyazperde_tr": {
"n": 5000,
"accuracy": 0.6336,
"brier": 0.4769,
"nll": 0.8667,
"ece": 0.0402
},
"workflow/jev_bench_tr/arc_challenge": {
"n": 1000,
"accuracy": 0.833,
"brier": 0.2373,
"nll": 0.452,
"ece": 0.0305
},
"workflow/jev_bench_tr/banking77": {
"n": 1000,
"accuracy": 0.81,
"brier": 0.2667,
"nll": 0.6704,
"ece": 0.0496
},
"workflow/jev_bench_tr/boolq": {
"n": 1000,
"accuracy": 0.877,
"brier": 0.1889,
"nll": 0.3099,
"ece": 0.0233
},
"workflow/jev_bench_tr/chaosnli": {
"n": 1599,
"accuracy": 0.6373,
"brier": 0.2039,
"nll": 1.1669,
"ece": 0.1133
},
"workflow/jev_bench_tr/civil_comments": {
"n": 2000,
"accuracy": 0.863,
"brier": 0.1263,
"nll": 0.3793,
"ece": 0.0208
},
"workflow/jev_bench_tr/clinc150": {
"n": 1000,
"accuracy": 0.873,
"brier": 0.1986,
"nll": 0.6114,
"ece": 0.0333
},
"workflow/jev_bench_tr/fever_evidence": {
"n": 1000,
"accuracy": 0.926,
"brier": 0.1063,
"nll": 0.1935,
"ece": 0.0218
},
"workflow/jev_bench_tr/go_emotions": {
"n": 1000,
"accuracy": 0.496,
"brier": 0.3399,
"nll": 2.3234,
"ece": 0.1412
},
"workflow/jev_bench_tr/helpsteer2_helpfulness": {
"n": 1000,
"accuracy": 0.403,
"brier": 0.7142,
"nll": 1.3625,
"ece": 0.1558
},
"workflow/jev_bench_tr/helpsteer2_verbosity": {
"n": 1000,
"accuracy": 0.661,
"brier": 0.5088,
"nll": 0.9137,
"ece": 0.1524
},
"workflow/jev_bench_tr/ledgar": {
"n": 1000,
"accuracy": 0.678,
"brier": 0.4474,
"nll": 1.2384,
"ece": 0.0563
},
"workflow/jev_bench_tr/massive": {
"n": 1000,
"accuracy": 0.867,
"brier": 0.1986,
"nll": 0.5556,
"ece": 0.0434
},
"workflow/jev_bench_tr/measuring_hate_speech": {
"n": 1000,
"accuracy": 0.534,
"brier": 0.3917,
"nll": 1.1279,
"ece": 0.1391
},
"workflow/jev_bench_tr/mmlu": {
"n": 1000,
"accuracy": 0.615,
"brier": 0.5026,
"nll": 0.9645,
"ece": 0.0798
},
"workflow/jev_bench_tr/mnli": {
"n": 1000,
"accuracy": 0.832,
"brier": 0.2406,
"nll": 0.4346,
"ece": 0.0289
},
"workflow/jev_bench_tr/paws": {
"n": 1000,
"accuracy": 0.694,
"brier": 0.4599,
"nll": 0.7411,
"ece": 0.1698
},
"workflow/jev_bench_tr/sms_spam": {
"n": 800,
"accuracy": 0.9587,
"brier": 0.0616,
"nll": 0.1232,
"ece": 0.0165
},
"workflow/jev_bench_tr/sst5": {
"n": 1000,
"accuracy": 0.428,
"brier": 0.6809,
"nll": 1.2517,
"ece": 0.0952
},
"workflow/jev_bench_tr/strategyqa_closed": {
"n": 687,
"accuracy": 0.5429,
"brier": 0.5218,
"nll": 0.7334,
"ece": 0.1441
},
"workflow/jev_bench_tr/strategyqa_grounded": {
"n": 687,
"accuracy": 0.8049,
"brier": 0.2641,
"nll": 0.4067,
"ece": 0.0331
},
"workflow/jev_bench_tr/stsb": {
"n": 1000,
"accuracy": 0.51,
"brier": 0.634,
"nll": 1.2248,
"ece": 0.0975
},
"workflow/jev_bench_tr/yelp5": {
"n": 1000,
"accuracy": 0.643,
"brier": 0.4752,
"nll": 0.8146,
"ece": 0.0633
},
"workflow/jev_bench_tr_en/arc_challenge": {
"n": 91,
"accuracy": 0.9121,
"brier": 0.1091,
"nll": 0.1997,
"ece": 0.0625
},
"workflow/jev_bench_tr_en/banking77": {
"n": 71,
"accuracy": 0.8592,
"brier": 0.2199,
"nll": 0.5531,
"ece": 0.0805
},
"workflow/jev_bench_tr_en/boolq": {
"n": 80,
"accuracy": 0.9,
"brier": 0.1214,
"nll": 0.2017,
"ece": 0.0737
},
"workflow/jev_bench_tr_en/chaosnli": {
"n": 151,
"accuracy": 0.7086,
"brier": 0.1814,
"nll": 1.1407,
"ece": 0.1201
},
"workflow/jev_bench_tr_en/civil_comments": {
"n": 171,
"accuracy": 0.8655,
"brier": 0.14,
"nll": 0.3978,
"ece": 0.0587
},
"workflow/jev_bench_tr_en/clinc150": {
"n": 96,
"accuracy": 0.8854,
"brier": 0.1594,
"nll": 0.3886,
"ece": 0.0521
},
"workflow/jev_bench_tr_en/fever_evidence": {
"n": 91,
"accuracy": 0.967,
"brier": 0.0561,
"nll": 0.1315,
"ece": 0.0348
},
"workflow/jev_bench_tr_en/go_emotions": {
"n": 93,
"accuracy": 0.5269,
"brier": 0.323,
"nll": 2.3535,
"ece": 0.1604
},
"workflow/jev_bench_tr_en/helpsteer2_helpfulness": {
"n": 89,
"accuracy": 0.4831,
"brier": 0.6573,
"nll": 1.1603,
"ece": 0.1857
},
"workflow/jev_bench_tr_en/helpsteer2_verbosity": {
"n": 79,
"accuracy": 0.7089,
"brier": 0.4661,
"nll": 0.8944,
"ece": 0.1493
},
"workflow/jev_bench_tr_en/ledgar": {
"n": 70,
"accuracy": 0.7857,
"brier": 0.3543,
"nll": 0.8834,
"ece": 0.1722
},
"workflow/jev_bench_tr_en/massive": {
"n": 95,
"accuracy": 0.8526,
"brier": 0.207,
"nll": 0.73,
"ece": 0.0683
},
"workflow/jev_bench_tr_en/measuring_hate_speech": {
"n": 96,
"accuracy": 0.5729,
"brier": 0.3906,
"nll": 1.1441,
"ece": 0.187
},
"workflow/jev_bench_tr_en/mmlu": {
"n": 80,
"accuracy": 0.725,
"brier": 0.3559,
"nll": 0.6658,
"ece": 0.071
},
"workflow/jev_bench_tr_en/mnli": {
"n": 92,
"accuracy": 0.9348,
"brier": 0.1053,
"nll": 0.1974,
"ece": 0.0927
},
"workflow/jev_bench_tr_en/paws": {
"n": 80,
"accuracy": 0.8375,
"brier": 0.2238,
"nll": 0.3598,
"ece": 0.0984
},
"workflow/jev_bench_tr_en/sms_spam": {
"n": 82,
"accuracy": 1.0,
"brier": 0.0055,
"nll": 0.0164,
"ece": 0.0147
},
"workflow/jev_bench_tr_en/sst5": {
"n": 73,
"accuracy": 0.5205,
"brier": 0.5669,
"nll": 0.9347,
"ece": 0.0965
},
"workflow/jev_bench_tr_en/strategyqa_closed": {
"n": 60,
"accuracy": 0.8333,
"brier": 0.3338,
"nll": 0.5123,
"ece": 0.1264
},
"workflow/jev_bench_tr_en/strategyqa_grounded": {
"n": 71,
"accuracy": 0.8592,
"brier": 0.1958,
"nll": 0.3115,
"ece": 0.0442
},
"workflow/jev_bench_tr_en/stsb": {
"n": 90,
"accuracy": 0.5111,
"brier": 0.577,
"nll": 1.098,
"ece": 0.1376
},
"workflow/jev_bench_tr_en/yelp5": {
"n": 99,
"accuracy": 0.7071,
"brier": 0.4005,
"nll": 0.6957,
"ece": 0.1338
},
"workflow/massive_tr": {
"n": 2974,
"accuracy": 0.8705,
"brier": 0.1941,
"nll": 0.5568,
"ece": 0.0362
},
"workflow/squad_tr": {
"n": 11873,
"accuracy": 0.8619,
"brier": 0.2028,
"nll": 0.3322,
"ece": 0.0168
},
"workflow/xnli_tr": {
"n": 5010,
"accuracy": 0.8315,
"brier": 0.2488,
"nll": 0.4509,
"ece": 0.0151
},
"squad_tr/answerability": {
"auroc": 0.9397,
"acc_answerable": 0.9379,
"acc_unanswerable": 0.783
}
},
"train_key": "411bcda4c97e6b5b"
}