metadata
license: mit
base_model: ZhangShenao/DPO-Zephyr-7B
tags:
- alignment-handbook
- dpo
- trl
- selm
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: SELM-Zephyr-7B-iter-1
results: []
Self-Exploring Language Models: Active Preference Elicitation for Online Alignment.
SELM-Zephyr-7B-iter-1
This model is a fine-tuned version of ZhangShenao/DPO-Zephyr-7B using synthetic data based on on the HuggingFaceH4/ultrafeedback_binarized dataset.
Model description
- Model type: A 7B parameter Zephyr-based Self-Exploring Language Models (SELM).
- License: MIT
Results
| AlpacaEval 2.0 (LC WR) | MT-Bench (Average) | |
|---|---|---|
| SELM-Zephyr-7B-iter-3 | 24.00 | 7.48 |
| SELM-Zephyr-7B-iter-2 | 23.40 | 7.72 |
| SELM-Zephyr-7B-iter-1 | 20.28 | 7.42 |
| DPO-Zephyr-7B | 14.45 | 7.28 |
Training hyperparameters
The following hyperparameters were used during training:
- alpha: 0.001
- beta: 0.01
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- num_epochs: 1
Framework versions
- Transformers 4.40.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.19.1