---
base_model: meta-llama/Meta-Llama-3.1-8B
library_name: peft
license: llama3.1
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: dpo-llama3-8b-sample-rules
  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. -->

# dpo-llama3-8b-sample-rules

This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1877
- Rewards/chosen: 0.0468
- Rewards/rejected: -1.6718
- Rewards/accuracies: 1.0
- Rewards/margins: 1.7186
- Logps/rejected: -533.8027
- Logps/chosen: -205.1740
- Logits/rejected: -1.4124
- Logits/chosen: -1.2468

## 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: 1
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.4235        | 0.4444 | 50   | 0.3831          | 0.1873         | -0.5971          | 1.0                | 0.7844          | -426.3294      | -191.1236    | -1.4109         | -1.2728       |
| 0.1946        | 0.8889 | 100  | 0.1877          | 0.0468         | -1.6718          | 1.0                | 1.7186          | -533.8027      | -205.1740    | -1.4124         | -1.2468       |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1