---
library_name: peft
license: other
base_model: /home/yangzongxian/zongxian/Models/MedReason-8b
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: MedReason_PartAll
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# MedReason_PartAll

This model is a fine-tuned version of [/home/yangzongxian/zongxian/Models/MedReason-8b](https://huggingface.co//home/yangzongxian/zongxian/Models/MedReason-8b) on the DPO_merged_Stage2_Part1+2 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-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 1.0

### Training results



### Framework versions

- PEFT 0.15.0
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0