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: 1,157 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 | {
"version": "v0007-support",
"parent": "v0007",
"parents": [
"v0007"
],
"kind": "lmhead",
"backbone": "Qwen/Qwen2.5-1.5B-Instruct",
"max_len": 1024,
"created": "2026-09-18T12:52:37+00:00",
"tasks": [
"banking77",
"clinc150",
"massive_intent"
],
"trained_on": [
"banking77",
"clinc150",
"massive_intent"
],
"holdout": [
"trec"
],
"steps": 1067,
"train_examples": 12000,
"args": {
"cmd": "lmtrain",
"lora_r": 8,
"loss": "mix",
"max_per_task": 4000,
"epochs": 1,
"lr": 0.0001,
"anchor": 0.1
},
"metrics": {},
"unseen_test_uncalibrated": {
"trec": {
"n": 500,
"acc": 0.758,
"nll": 0.767611707548029,
"brier": 0.37113630112335455,
"ece": 0.08773053616285323,
"mean_conf": 0.8239709965586662,
"cov@0.5": 0.924,
"acc@0.5": 0.7835497835497836,
"cov@0.7": 0.762,
"acc@0.7": 0.8293963254593176,
"cov@0.9": 0.474,
"acc@0.9": 0.8734177215189873
}
},
"summary": {
"mean_acc": null,
"mean_ece": null
},
"history": []
} |