---
library_name: transformers
license: llama3.1
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: llama-3-8b-dpo-full
  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. -->

# llama-3-8b-dpo-full

This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5582
- Rewards/chosen: -1.3603
- Rewards/rejected: -2.0529
- Rewards/accuracies: 0.7262
- Rewards/margins: 0.6926
- Logps/rejected: -600.9839
- Logps/chosen: -540.5128
- Logits/rejected: -2.7438
- Logits/chosen: -2.5853

## 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: 3e-07
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- 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

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6341        | 0.2094 | 100  | 0.6223          | -0.6021        | -0.8779          | 0.7103             | 0.2758          | -483.4830      | -464.6949    | -2.6189         | -2.4353       |
| 0.5887        | 0.4187 | 200  | 0.5796          | -1.0505        | -1.5993          | 0.7143             | 0.5488          | -555.6263      | -509.5346    | -2.6508         | -2.4854       |
| 0.5667        | 0.6281 | 300  | 0.5653          | -1.0427        | -1.6191          | 0.7222             | 0.5764          | -557.6055      | -508.7539    | -2.6684         | -2.5120       |
| 0.5803        | 0.8375 | 400  | 0.5582          | -1.3603        | -2.0529          | 0.7262             | 0.6926          | -600.9839      | -540.5128    | -2.7438         | -2.5853       |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.20.0