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
Download v0007-math/manifest.json from ait-hf/certus-jev-like-v0007: direct link, hf CLI and curl.
- Browser
- Download file 2.39 kB
-
https://huggingface.co/ait-hf/certus-jev-like-v0007/resolve/main/v0007-math/manifest.json
- Command line
-
hf download hf://ait-hf/certus-jev-like-v0007/v0007-math/manifest.json
-
curl -L -o manifest.json https://huggingface.co/ait-hf/certus-jev-like-v0007/resolve/main/v0007-math/manifest.json
2.39 kB
| { | |
| "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": [] | |
| } |