Text Classification
PEFT
Safetensors
English
decision-model
system-one
lora
calibrated
classification
routing
jev
jev-like
typesafe
Instructions to use ait-hf/certus-jev-like-v0007 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ait-hf/certus-jev-like-v0007 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
File size: 2,389 Bytes
bc997c3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 | {
"version": "v0007-math",
"parent": "v0007",
"parents": [
"v0007"
],
"kind": "lmhead",
"backbone": "Qwen/Qwen2.5-1.5B-Instruct",
"max_len": 1024,
"created": "2026-09-22T13:55:28+00:00",
"tasks": [
"math",
"gsm8k",
"svamp",
"aqua"
],
"trained_on": [
"math",
"gsm8k",
"svamp",
"aqua"
],
"holdout": [],
"steps": 3684,
"train_examples": 57771,
"args": {
"cmd": "lmtrain",
"lora_r": 32,
"loss": "mix",
"max_per_task": 30000,
"epochs": 1,
"lr": 0.0001,
"anchor": 0.1
},
"metrics": {
"math": {
"n": 300,
"acc": 0.8733333333333333,
"nll": 0.2491237256136509,
"brier": 0.15517219901605317,
"ece": 0.04117123444875081,
"mean_conf": 0.8545713822046915,
"cov@0.5": 1.0,
"acc@0.5": 0.8733333333333333,
"cov@0.7": 0.7533333333333333,
"acc@0.7": 0.9690265486725663,
"cov@0.9": 0.7066666666666667,
"acc@0.9": 1.0
},
"gsm8k": {
"n": 300,
"acc": 0.8166666666666667,
"nll": 0.4634518215859158,
"brier": 0.24914535577158609,
"ece": 0.08174108674128854,
"mean_conf": 0.7950625959038734,
"cov@0.5": 0.9,
"acc@0.5": 0.8666666666666667,
"cov@0.7": 0.7,
"acc@0.7": 0.9238095238095239,
"cov@0.9": 0.4266666666666667,
"acc@0.9": 0.9921875
},
"svamp": {
"n": 100,
"acc": 0.68,
"nll": 0.7193946922798429,
"brier": 0.41086004277348953,
"ece": 0.07071352988481525,
"mean_conf": 0.7261623141169548,
"cov@0.5": 0.83,
"acc@0.5": 0.7349397590361446,
"cov@0.7": 0.58,
"acc@0.7": 0.8275862068965517,
"cov@0.9": 0.2,
"acc@0.9": 1.0
},
"aqua": {
"n": 253,
"acc": 0.391304347826087,
"nll": 1.414271918680051,
"brier": 0.7115495715758425,
"ece": 0.0654898358899143,
"mean_conf": 0.3998582398467384,
"cov@0.5": 0.20553359683794467,
"acc@0.5": 0.6538461538461539,
"cov@0.7": 0.06324110671936758,
"acc@0.7": 0.8125,
"cov@0.9": 0.007905138339920948,
"acc@0.9": 1.0
}
},
"unseen_test_uncalibrated": {},
"summary": {
"mean_acc": 0.6903260869565218,
"mean_ece": 0.06477892174119222
},
"history": []
} |