---
library_name: transformers
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: Llama0-3-8b-v0.1-dpo-lr6e-7-e1
  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. -->

# Llama0-3-8b-v0.1-dpo-lr6e-7-e1

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6582
- Rewards/chosen: -0.7111
- Rewards/rejected: -0.8015
- Rewards/accuracies: 0.5927
- Rewards/margins: 0.0904
- Logps/rejected: -166.9069
- Logps/chosen: -159.4064
- Logits/rejected: 0.2042
- Logits/chosen: 0.1905

## 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: 6e-07
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6871        | 0.2137 | 100  | 0.6864          | -0.0646        | -0.0752          | 0.5927             | 0.0106          | -94.2750       | -94.7507     | 0.0781          | 0.0585        |
| 0.6735        | 0.4275 | 200  | 0.6722          | -0.2864        | -0.3235          | 0.6048             | 0.0371          | -119.1064      | -116.9293    | 0.1352          | 0.1179        |
| 0.6616        | 0.6412 | 300  | 0.6630          | -0.5661        | -0.6349          | 0.5968             | 0.0688          | -150.2457      | -144.8998    | 0.2044          | 0.1898        |
| 0.6599        | 0.8549 | 400  | 0.6591          | -0.6785        | -0.7632          | 0.5847             | 0.0846          | -163.0742      | -156.1471    | 0.2023          | 0.1883        |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.20.0