• Model creator: https://huggingface.co/UCLA-AGI/
• Original model: https://huggingface.co/UCLA-AGI/zephyr-7b-sft-full-SPIN-iter2/

Original model description:

• UCLA-AGI/SPIN_iter2 language:
• en pipeline_tag: text-generation

zephyr-7b-sft-full-spin-iter2

Model Details

Model Description

• Model type: A 7B parameter GPT-like model fine-tuned on synthetic datasets.
• Language(s) (NLP): Primarily English
• License: MIT
• Finetuned from model: alignment-handbook/zephyr-7b-sft-full (based on mistralai/Mistral-7B-v0.1)

Training hyperparameters

• learning_rate: 1e-07
• train_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 64
• optimizer: RMSProp
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 2.0

Open LLM Leaderboard Evaluation Results

Citation

@misc{chen2024selfplay,
      title={Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models}, 
      author={Zixiang Chen and Yihe Deng and Huizhuo Yuan and Kaixuan Ji and Quanquan Gu},
      year={2024},
      eprint={2401.01335},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}