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
File size: 1,035 Bytes
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"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
} |