File size: 2,159 Bytes
8eb1b7c ae43da3 29d58f5 ae43da3 d8569ae ae43da3 d8a7f7e a82baff 88664b0 9257b64 d8a7f7e 9257b64 d8a7f7e 437d2f9 9257b64 88664b0 1ce5859 12bbd11 1ce5859 c3d3981 9257b64 1ce5859 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 |
---
license: mit
datasets:
- UCLA-AGI/SPIN_iter1
language:
- en
base_model: alignment-handbook/zephyr-7b-sft-full
pipeline_tag: text-generation
---
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models (https://arxiv.org/abs/2401.01335)
# zephyr-7b-sft-full-spin-iter1
This model is a self-play fine-tuned model at iteration 1 from [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) using synthetic data based on on the [HuggingFaceH4/ultrachat_200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k) dataset.
## 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
The following hyperparameters were used during training:
- learning_rate: 5e-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](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_UCLA-AGI__zephyr-7b-sft-full-spin-iter1)
| Metric | Value |
|-----------------------|---------------------------|
| Avg. | 62.86 |
| ARC (25-shot) | 65.87 |
| HellaSwag (10-shot) | 85.44 |
| MMLU (5-shot) | 60.95 |
| TruthfulQA (0-shot) | 57.39 |
| Winogrande (5-shot) | 76.64 |
| GSM8K (5-shot) | 30.86 |
## 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}
}
``` |