---
library_name: transformers
license: apache-2.0
base_model: yiran-wang3/qwen2_coder_reflct_adamw_iter2
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
datasets:
- self-generate/qwcoder2_reflct_sppo_hard_new_cn_mining_oj_iter2-binarized-reflection-scored
model-index:
- name: qwen2_coder_reflct_adamw_iter3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# qwen2_coder_reflct_adamw_iter3

This model is a fine-tuned version of [yiran-wang3/qwen2_coder_reflct_adamw_iter2](https://huggingface.co/yiran-wang3/qwen2_coder_reflct_adamw_iter2) on the self-generate/qwcoder2_reflct_sppo_hard_new_cn_mining_oj_iter2-binarized-reflection-scored 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: 8
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 100
- num_epochs: 1.0

### Training results



### Framework versions

- Transformers 4.45.0
- Pytorch 2.4.0+cu121
- Datasets 2.14.6
- Tokenizers 0.20.2