Text Classification
PEFT
Safetensors
kev
jev
decision-model
calibration
router
code-verification
lora
Instructions to use jtatman/kev-0.8b-code-verify-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jtatman/kev-0.8b-code-verify-v2 with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Qwen/Qwen3.5-0.8B-Base") model = PeftModel.from_pretrained(base_model, "jtatman/kev-0.8b-code-verify-v2") - Notebooks
- Google Colab
- Kaggle
Download run_eval.json from jtatman/kev-0.8b-code-verify-v2: direct link, hf CLI and curl.
- Browser
- Download file 3.87 kB
-
https://huggingface.co/jtatman/kev-0.8b-code-verify-v2/resolve/main/run_eval.json
- Command line
-
hf download hf://jtatman/kev-0.8b-code-verify-v2/run_eval.json
-
curl -L -o run_eval.json https://huggingface.co/jtatman/kev-0.8b-code-verify-v2/resolve/main/run_eval.json
3.87 kB
| { | |
| "development": { | |
| "baseline kev": { | |
| "auroc": 0.8941919191919192, | |
| "acc": 0.9553571428571429, | |
| "brier": 0.04663790840267551, | |
| "ece": 0.054507326705475256, | |
| "cov@2%": 0.12946428571428573, | |
| "cov@5%": 0.84375, | |
| "cov@10%": 0.8928571428571429 | |
| }, | |
| "fine-tuned kev": { | |
| "auroc": 0.9127209595959596, | |
| "acc": 0.9553571428571429, | |
| "brier": 0.04322990868327309, | |
| "ece": 0.026368809832356274, | |
| "cov@2%": 0.22321428571428573, | |
| "cov@5%": 0.8258928571428571, | |
| "cov@10%": 0.8928571428571429 | |
| }, | |
| "evidence score": { | |
| "auroc": 0.9590277777777778, | |
| "acc": 0.9553571428571429, | |
| "brier": 0.04669189453125, | |
| "ece": 0.07882254464285716, | |
| "cov@2%": 0.6852678571428571, | |
| "cov@5%": 0.8058035714285714, | |
| "cov@10%": 0.8794642857142857 | |
| }, | |
| "mean(evidence, baseline)": { | |
| "auroc": 0.9642992424242425, | |
| "acc": 0.9553571428571429, | |
| "brier": 0.04325954805619029, | |
| "ece": 0.06962798473367474, | |
| "cov@2%": 0.7433035714285714, | |
| "cov@5%": 0.8125, | |
| "cov@10%": 0.8928571428571429 | |
| }, | |
| "mean(evidence, fine-tuned)": { | |
| "auroc": 0.9620580808080809, | |
| "acc": 0.953125, | |
| "brier": 0.041460332654909955, | |
| "ece": 0.05010392415948695, | |
| "cov@2%": 0.7232142857142857, | |
| "cov@5%": 0.8125, | |
| "cov@10%": 0.8928571428571429 | |
| } | |
| }, | |
| "test_unseen_coder": { | |
| "baseline kev": { | |
| "auroc": 0.8957307060755336, | |
| "acc": 0.9154929577464789, | |
| "brier": 0.08782003066740127, | |
| "ece": 0.10255376683858186, | |
| "cov@2%": 0.09859154929577464, | |
| "cov@5%": 0.09859154929577464, | |
| "cov@10%": 0.30985915492957744 | |
| }, | |
| "fine-tuned kev": { | |
| "auroc": 0.9490968801313628, | |
| "acc": 0.9154929577464789, | |
| "brier": 0.07603090115173004, | |
| "ece": 0.06278563419018489, | |
| "cov@2%": 0.36619718309859156, | |
| "cov@5%": 0.4084507042253521, | |
| "cov@10%": 0.5774647887323944 | |
| }, | |
| "evidence score": { | |
| "auroc": 0.9433497536945813, | |
| "acc": 0.9154929577464789, | |
| "brier": 0.08483714788732394, | |
| "ece": 0.1338028169014084, | |
| "cov@2%": 0.15492957746478872, | |
| "cov@5%": 0.15492957746478872, | |
| "cov@10%": 0.5915492957746479 | |
| }, | |
| "mean(evidence, baseline)": { | |
| "auroc": 0.9417077175697866, | |
| "acc": 0.9154929577464789, | |
| "brier": 0.08107140750327455, | |
| "ece": 0.11410879479547414, | |
| "cov@2%": 0.2535211267605634, | |
| "cov@5%": 0.2535211267605634, | |
| "cov@10%": 0.6056338028169014 | |
| }, | |
| "mean(evidence, fine-tuned)": { | |
| "auroc": 0.9482758620689655, | |
| "acc": 0.9154929577464789, | |
| "brier": 0.07402588517908092, | |
| "ece": 0.1054580941083675, | |
| "cov@2%": 0.30985915492957744, | |
| "cov@5%": 0.323943661971831, | |
| "cov@10%": 0.6056338028169014 | |
| } | |
| }, | |
| "test_unseen_coder_all_tasks": { | |
| "baseline kev": { | |
| "auroc": 0.9353021978021978, | |
| "acc": 0.8995901639344263, | |
| "brier": 0.09627491548962074, | |
| "ece": 0.11438050809440908, | |
| "cov@2%": 0.22540983606557377, | |
| "cov@5%": 0.2766393442622951, | |
| "cov@10%": 0.47950819672131145 | |
| }, | |
| "fine-tuned kev": { | |
| "auroc": 0.9695741758241758, | |
| "acc": 0.9364754098360656, | |
| "brier": 0.05493458662718413, | |
| "ece": 0.04307024866475148, | |
| "cov@2%": 0.2192622950819672, | |
| "cov@5%": 0.5061475409836066, | |
| "cov@10%": 0.6372950819672131 | |
| }, | |
| "evidence score": { | |
| "auroc": 0.943543956043956, | |
| "acc": 0.9057377049180327, | |
| "brier": 0.09111320255251247, | |
| "ece": 0.09400301997638061, | |
| "cov@2%": 0.0, | |
| "cov@5%": 0.20901639344262296, | |
| "cov@10%": 0.6188524590163934 | |
| }, | |
| "mean(evidence, baseline)": { | |
| "auroc": 0.9518028846153846, | |
| "acc": 0.9057377049180327, | |
| "brier": 0.08850434302950522, | |
| "ece": 0.09898749653604542, | |
| "cov@2%": 0.11475409836065574, | |
| "cov@5%": 0.375, | |
| "cov@10%": 0.6086065573770492 | |
| }, | |
| "mean(evidence, fine-tuned)": { | |
| "auroc": 0.9614354395604395, | |
| "acc": 0.9344262295081968, | |
| "brier": 0.06332625202060693, | |
| "ece": 0.07127569574009193, | |
| "cov@2%": 0.18032786885245902, | |
| "cov@5%": 0.38729508196721313, | |
| "cov@10%": 0.6372950819672131 | |
| } | |
| } | |
| } |