---
base_model: instruction-pretrain/medicine-Llama3-8B
library_name: peft
license: llama3
tags:
- trl
- orpo
- generated_from_trainer
model-index:
- name: orpo_run_yash_beta_hh_full_gpt2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# orpo_run_yash_beta_hh_full_gpt2

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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 150
- training_steps: 1000

### Training results



### Framework versions

- PEFT 0.11.1
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1