Text Classification
PEFT
Safetensors
English
decision-model
calibration
lora
multiple-choice
typesafe
qwen3.5
Eval Results (legacy)
Instructions to use jaredpalmer/kev-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jaredpalmer/kev-4b with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
File size: 1,845 Bytes
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"args": {
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"n_per_source": 1000,
"epochs": 1,
"lr": 2e-05,
"head_lr": 0.0,
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"lora": 16,
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"perm_frac": 0.3,
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"suite": "/root/evals/v7/decision-v7",
"train_sources": "",
"device": "cuda",
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"dtype": "bf16",
"weights_dtype": "fp32",
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"lora_targets": "all",
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"out": "/runs/r10-skills/00-trial-0/checkpoint",
"data": "evals/round10/skills/train.jsonl",
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"ordinal_objective": "ranked_probability_score",
"holdout": []
}
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