scombat's picture
Add v4_vocab32k-fp16 (six-source development model)
f6be45c verified
Raw History Blame Contribute Delete
11.1 kB
{
"variant": "v4_vocab32k-fp16",
"backend": "torch",
"size_bytes": 307846551,
"validation_all": {
"unweighted": {
"rows": 4914,
"weighted": false,
"complexity": {
"rows": 4850,
"mae": 0.07579664213927752,
"spearman": 0.7329635072519433,
"qwk_rounded": 0.7519040607655082,
"confusion_true_by_pred": [
[
145.0,
157.0,
6.0,
0.0,
0.0
],
[
39.0,
2574.0,
263.0,
2.0,
0.0
],
[
4.0,
406.0,
880.0,
55.0,
0.0
],
[
1.0,
10.0,
76.0,
224.0,
0.0
],
[
0.0,
0.0,
1.0,
3.0,
4.0
]
],
"support": {
"trivial": 308,
"low": 2878,
"medium": 1345,
"high": 311,
"expert": 8
}
},
"task": {
"accuracy": 0.8398453398453398,
"macro_f1": 0.7496592483362028,
"macro_f1_present": 0.7496592483362028,
"per_class": {
"information_seeking": {
"f1": 0.8687520154788778,
"support": 1528
},
"reasoning": {
"f1": 0.5802469135802469,
"support": 92
},
"planning": {
"f1": 0.7132867132867133,
"support": 81
},
"editing": {
"f1": 0.8702290076335878,
"support": 193
},
"summarization": {
"f1": 0.8605577689243028,
"support": 128
},
"extraction": {
"f1": 0.7982832618025751,
"support": 229
},
"classification": {
"f1": 0.8901098901098901,
"support": 89
},
"translation": {
"f1": 0.9103448275862069,
"support": 73
},
"coding_debugging": {
"f1": 0.8940397350993378,
"support": 453
},
"math": {
"f1": 0.8767676767676768,
"support": 236
},
"data_analysis": {
"f1": 0.7058823529411765,
"support": 22
},
"writing": {
"f1": 0.9045936395759717,
"support": 991
},
"role_playing": {
"f1": 0.8771929824561403,
"support": 83
},
"advice_seeking": {
"f1": 0.7138263665594855,
"support": 157
},
"brainstorming": {
"f1": 0.6024096385542169,
"support": 134
},
"completion": {
"f1": 0.764378478664193,
"support": 267
},
"action_execution": {
"f1": 0.5263157894736842,
"support": 11
},
"chat": {
"f1": 0.5786163522012578,
"support": 91
},
"other": {
"f1": 0.3076923076923077,
"support": 56
}
}
},
"needs_tools": {
"f1": 0.6178489702517163,
"auroc": 0.9481470840480274,
"positives": 250
}
},
"weighted": {
"rows": 4914,
"weighted": true,
"complexity": {
"rows": 4850,
"mae": 0.0734992234917565,
"spearman": 0.6931422117949425,
"qwk_rounded": 0.7000283091495797,
"confusion_true_by_pred": [
[
138.9,
154.5,
5.0,
0.0,
0.0
],
[
41.0,
2767.2,
283.8,
2.2,
0.0
],
[
4.1,
408.0,
884.3,
54.9,
0.0
],
[
0.4,
4.1,
32.3,
94.6,
0.0
],
[
0.0,
0.0,
0.1,
0.4,
0.6
]
],
"support": {
"trivial": 308,
"low": 2878,
"medium": 1345,
"high": 311,
"expert": 8
}
},
"task": {
"accuracy": 0.8417469271956327,
"macro_f1": 0.7361416383741431,
"macro_f1_present": 0.7361416383741431,
"per_class": {
"information_seeking": {
"f1": 0.8743961299148704,
"support": 1528
},
"reasoning": {
"f1": 0.5876168321012015,
"support": 92
},
"planning": {
"f1": 0.6923419444052038,
"support": 81
},
"editing": {
"f1": 0.8750917385680073,
"support": 193
},
"summarization": {
"f1": 0.8617685118085122,
"support": 128
},
"extraction": {
"f1": 0.8024884010513994,
"support": 229
},
"classification": {
"f1": 0.8889433148815616,
"support": 89
},
"translation": {
"f1": 0.9102897416990978,
"support": 73
},
"coding_debugging": {
"f1": 0.8951849640199118,
"support": 453
},
"math": {
"f1": 0.8720808285568271,
"support": 236
},
"data_analysis": {
"f1": 0.6036172496413325,
"support": 22
},
"writing": {
"f1": 0.8998060042441275,
"support": 991
},
"role_playing": {
"f1": 0.856782491891807,
"support": 83
},
"advice_seeking": {
"f1": 0.7267918392567481,
"support": 157
},
"brainstorming": {
"f1": 0.6040013806205294,
"support": 134
},
"completion": {
"f1": 0.7735029017960995,
"support": 267
},
"action_execution": {
"f1": 0.4050722792506393,
"support": 11
},
"chat": {
"f1": 0.5820792184544086,
"support": 91
},
"other": {
"f1": 0.27483535694643446,
"support": 56
}
}
},
"needs_tools": {
"f1": 0.6202334654791641,
"auroc": 0.9483244764486874,
"positives": 250
}
}
},
"validation_four_sources": {
"unweighted": {
"rows": 3130,
"weighted": false,
"complexity": {
"rows": 3101,
"mae": 0.0732659558825476,
"spearman": 0.7434607091466564,
"qwk_rounded": 0.7590494324005435,
"confusion_true_by_pred": [
[
100.0,
97.0,
4.0,
0.0,
0.0
],
[
25.0,
1653.0,
160.0,
0.0,
0.0
],
[
3.0,
251.0,
580.0,
38.0,
0.0
],
[
1.0,
4.0,
46.0,
138.0,
0.0
],
[
0.0,
0.0,
0.0,
0.0,
1.0
]
],
"support": {
"trivial": 201,
"low": 1838,
"medium": 872,
"high": 189,
"expert": 1
}
},
"task": {
"accuracy": 0.8488817891373802,
"macro_f1": 0.7513423725525952,
"macro_f1_present": 0.7513423725525952,
"per_class": {
"information_seeking": {
"f1": 0.8823257960313798,
"support": 1068
},
"reasoning": {
"f1": 0.5977011494252874,
"support": 48
},
"planning": {
"f1": 0.651685393258427,
"support": 53
},
"editing": {
"f1": 0.8817204301075269,
"support": 139
},
"summarization": {
"f1": 0.8631578947368421,
"support": 98
},
"extraction": {
"f1": 0.819672131147541,
"support": 180
},
"classification": {
"f1": 0.875,
"support": 47
},
"translation": {
"f1": 0.9166666666666666,
"support": 61
},
"coding_debugging": {
"f1": 0.9020408163265307,
"support": 246
},
"math": {
"f1": 0.7415730337078652,
"support": 41
},
"data_analysis": {
"f1": 0.6666666666666666,
"support": 5
},
"writing": {
"f1": 0.9049964813511612,
"support": 705
},
"role_playing": {
"f1": 0.9152542372881356,
"support": 30
},
"advice_seeking": {
"f1": 0.6901408450704225,
"support": 75
},
"brainstorming": {
"f1": 0.5660377358490566,
"support": 83
},
"completion": {
"f1": 0.7818181818181819,
"support": 162
},
"action_execution": {
"f1": 0.625,
"support": 8
},
"chat": {
"f1": 0.6190476190476191,
"support": 47
},
"other": {
"f1": 0.375,
"support": 34
}
}
},
"needs_tools": {
"f1": 0.5808823529411765,
"auroc": 0.960451698314529,
"positives": 153
}
},
"weighted": {
"rows": 3130,
"weighted": true,
"complexity": {
"rows": 3101,
"mae": 0.07136375761254943,
"spearman": 0.7050611798721679,
"qwk_rounded": 0.7112237182045522,
"confusion_true_by_pred": [
[
95.6,
96.6,
3.5,
0.0,
0.0
],
[
26.1,
1790.5,
174.8,
0.0,
0.0
],
[
3.1,
254.4,
589.0,
37.6,
0.0
],
[
0.4,
1.6,
19.7,
58.1,
0.0
],
[
0.0,
0.0,
0.0,
0.0,
0.1
]
],
"support": {
"trivial": 201,
"low": 1838,
"medium": 872,
"high": 189,
"expert": 1
}
},
"task": {
"accuracy": 0.8510913634686621,
"macro_f1": 0.7336388186360535,
"macro_f1_present": 0.7336388186360535,
"per_class": {
"information_seeking": {
"f1": 0.8863005064157066,
"support": 1068
},
"reasoning": {
"f1": 0.6007655619943084,
"support": 48
},
"planning": {
"f1": 0.6322924335863169,
"support": 53
},
"editing": {
"f1": 0.8872579498056196,
"support": 139
},
"summarization": {
"f1": 0.8655264865753218,
"support": 98
},
"extraction": {
"f1": 0.8217981441939354,
"support": 180
},
"classification": {
"f1": 0.8744675021779321,
"support": 47
},
"translation": {
"f1": 0.9165540456122309,
"support": 61
},
"coding_debugging": {
"f1": 0.9014211381493499,
"support": 246
},
"math": {
"f1": 0.7206863251222526,
"support": 41
},
"data_analysis": {
"f1": 0.5512676749948888,
"support": 5
},
"writing": {
"f1": 0.9022412453550238,
"support": 705
},
"role_playing": {
"f1": 0.9018366831956603,
"support": 30
},
"advice_seeking": {
"f1": 0.7058665577471023,
"support": 75
},
"brainstorming": {
"f1": 0.5672344732772423,
"support": 83
},
"completion": {
"f1": 0.7921253431420334,
"support": 162
},
"action_execution": {
"f1": 0.46184553221044683,
"support": 8
},
"chat": {
"f1": 0.6134643357166086,
"support": 47
},
"other": {
"f1": 0.3361856148130364,
"support": 34
}
}
},
"needs_tools": {
"f1": 0.5784521352010515,
"auroc": 0.9630510085880657,
"positives": 153
}
}
},
"agreement_with_reference": {
"max_abs_logit_difference": 16.74053192138672,
"mean_abs_logit_difference": 0.7664107084274292,
"same_task": 0.9171754171754172,
"same_needs_tools": 0.9816849816849816,
"same_complexity_tier": 0.9092389092389093,
"same_policy_tier": 0.914936914936915
},
"agreement_with_parent": {
"max_abs_logit_difference": 0.9007568359375,
"mean_abs_logit_difference": 0.0033105933107435703,
"same_task": 0.9995929995929996,
"same_needs_tools": 1.0,
"same_complexity_tier": 0.9993894993894994,
"same_policy_tier": 0.9993894993894994
},
"latency_ms_batch1": {
"p50": 10.002875002101064,
"p95": 38.70008300145855,
"mean": 14.027030840043153,
"prompts": 200,
"device": "mps"
}
}