Text Classification
PEFT
Safetensors
English
skills-assessment
resume
cv
nli
lora
classification
hr-tech
Instructions to use niko0xdev/skilljev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use niko0xdev/skilljev with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download metrics.json from niko0xdev/skilljev: direct link, hf CLI and curl.
- Browser
- Download file 1.04 kB
-
https://huggingface.co/niko0xdev/skilljev/resolve/main/metrics.json
- Command line
-
hf download hf://niko0xdev/skilljev/metrics.json
-
curl -L -o metrics.json https://huggingface.co/niko0xdev/skilljev/resolve/main/metrics.json
1.04 kB
| { | |
| "step": 500, | |
| "args": { | |
| "ep": "1", | |
| "steps": "1500", | |
| "ev": "250", | |
| "pat": "3", | |
| "topk": "3", | |
| "up": "3", | |
| "lr": "1e-4", | |
| "r": "16", | |
| "bs": "4", | |
| "gc": "1", | |
| "ml": "192", | |
| "train": "data/train_v008.jsonl", | |
| "out": "/content/out/ft9" | |
| }, | |
| "dev_score": 2.8916666507720947, | |
| "temperature": { | |
| "g": 0.5, | |
| "e": 2.4000000000000004, | |
| "p": 2.8000000000000003 | |
| }, | |
| "dev": { | |
| "n": 600, | |
| "skill_acc": 1.0, | |
| "evidence_acc": 0.9583333134651184, | |
| "proficiency_exact": 0.9333333373069763, | |
| "proficiency_pm1": 0.9766666666666667, | |
| "unknown_predicted_as_0": 0, | |
| "ece": { | |
| "g": 0.003034946508705616, | |
| "e": 0.03140348941087723, | |
| "p": 0.04882967099547386 | |
| } | |
| }, | |
| "heldout": { | |
| "n": 90, | |
| "skill_acc": 1.0, | |
| "evidence_acc": 0.9777777791023254, | |
| "proficiency_exact": 0.9555555582046509, | |
| "proficiency_pm1": 0.9666666666666667, | |
| "unknown_predicted_as_0": 0, | |
| "ece": { | |
| "g": 1.8537044525146484e-05, | |
| "e": 0.02295936830341816, | |
| "p": 0.03294331207871437 | |
| } | |
| }, | |
| "train_n": 40615, | |
| "elapsed_s": 365.80892276763916 | |
| } |