---
base_model: princeton-nlp/Llama-3-Base-8B-SFT
library_name: peft
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-wpo-lora
  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. -->

# zephyr-7b-wpo-lora

This model is a fine-tuned version of [princeton-nlp/Llama-3-Base-8B-SFT](https://huggingface.co/princeton-nlp/Llama-3-Base-8B-SFT) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6932
- Rewards/chosen: -0.0018
- Rewards/rejected: -0.0016
- Rewards/accuracies: 0.4844
- Rewards/margins: -0.0002
- Logps/rejected: -331.1234
- Logps/chosen: -317.9713
- Logps/ref Response: -0.5450
- Logits/rejected: -0.5459
- Logits/chosen: -0.5457

## 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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results



### Framework versions

- PEFT 0.7.1
- Transformers 4.44.2
- Pytorch 2.2.1+cu121
- Datasets 2.14.6
- Tokenizers 0.19.1