---
base_model: Qwen/Qwen2-7B-Instruct
# datasets:
# - /gpfs/public/research/gezhang/ChinesePref/iterative_dpo-lj-dev/data/code
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
model-index:
- name: Qwen2-7B-Instruct-DPO-code-beta0.5
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Qwen2-7B-Instruct-DPO-code-beta0.5

This model is a fine-tuned version of [Qwen/Qwen2-7B-Instruct](https://huggingface.co/Qwen/Qwen2-7B-Instruct)

## 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: 5e-06
- train_batch_size: 3
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 24
- total_eval_batch_size: 64
- 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

- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2