---
base_model: instruction-pretrain/medicine-Llama3-8B
library_name: peft
license: llama3
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: dpo_run_medllama
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/megh-thakkar-main/huggingface/runs/p8mt3tgn)
# dpo_run_medllama

This model is a fine-tuned version of [instruction-pretrain/medicine-Llama3-8B](https://huggingface.co/instruction-pretrain/medicine-Llama3-8B) on an unknown 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: 8e-06
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 150
- num_epochs: 3.0

### Training results



### Framework versions

- PEFT 0.13.0
- Transformers 4.42.0
- Pytorch 2.4.1+cu121
- Datasets 2.16.1
- Tokenizers 0.19.1