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vukien2301/llama-3.2-1b-riskkd-tokenwt-epoch1
llama-3.2-1b-riskkd-tokenwt-epoch1 is a text generation model from vukien2301. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama3.2.
1B student from meta-llama/Llama-3.2-1B, SFT-initialized on HuggingFaceH4/deita-10k-v0-sft, then trained with the riskKD objective (TVKD + risk-aware DPO with klinv per-token weighting, alpha=1.0) against an 8B DPO-tr…
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From the Hugging Face model README
1B student from meta-llama/Llama-3.2-1B, SFT-initialized on HuggingFaceH4/deita-10k-v0-sft, then trained with the riskKD objective (TVKD + risk-aware DPO with kl_inv per-token weighting, alpha=1.0) against an 8B DPO-trained teacher as frozen reference, on pvdhihihi/ultra-feedback.
Hyperparameters: beta=0.1, lr=5e-7 constant, max_length=512, max_prompt_length=256, radpo_weight=1.0, radpo_alpha=0.5, radpo_confidence_level=0.99, radpo_token_weight_mode=kl_inv, radpo_token_weight_alpha=1.0. This is the epoch-1 checkpoint (step 902) of a 3-epoch run; epoch 1 was the best on the lm-eval suite (avg 43.02% over MMLU/TruthfulQA-MC2/Winogrande/HellaSwag/GSM8K/ARC-C).
| Benchmark | Few-shot | Metric | Score |
|---|---|---|---|
| MMLU | 5 | acc | 33.68% |
| TruthfulQA-MC2 | 0 | acc | 48.29% |
| Winogrande | 5 | acc | 62.04% |
| HellaSwag | 10 | acc_norm | 67.79% |
| GSM8K | 5 | exact_match (strict) | 6.14% |
| ARC-Challenge | 25 | acc_norm | 40.19% |
| Average | 43.02% |