---
library_name: transformers
base_model: wh-zhu/qwen2_1.5B-ultrachatfeedback-dpo
tags:
- llama-factory
- full
- trl
- dpo
- llama-factory
- generated_from_trainer
model-index:
- name: qwen2_7B-ultrachatfeedback-self-wspo-full_E1-adapter
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# qwen2_7B-ultrachatfeedback-self-wspo-full_E1-adapter

This model is a fine-tuned version of [wh-zhu/qwen2_1.5B-ultrachatfeedback-dpo](https://huggingface.co/wh-zhu/qwen2_1.5B-ultrachatfeedback-dpo) on the ultrafeedback dataset.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-06
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.45.0
- Pytorch 2.11.0+cu130
- Datasets 2.21.0
- Tokenizers 0.20.3
