---
license: llama3.1
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
model-index:
- name: llama3.1_8b_dpo_bwgenerator
  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. -->

# llama3.1_8b_dpo_bwgenerator

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: 0.0325
- Rewards/chosen: -8.0882
- Rewards/rejected: -39.4615
- Rewards/accuracies: 0.9958
- Rewards/margins: 31.3733
- Logps/rejected: -504.7621
- Logps/chosen: -165.4306
- Logits/rejected: -1.1893
- Logits/chosen: -1.7730

## 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-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- 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 |
|:-------------:|:------:|:-----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0854        | 0.0719 | 1000  | 0.1058          | -28.5182       | -64.6284         | 0.9929             | 36.1101         | -756.4312      | -369.7310    | -1.1763         | -1.7541       |
| 0.078         | 0.1438 | 2000  | 0.0582          | -16.5113       | -45.2514         | 0.9938             | 28.7401         | -562.6614      | -249.6615    | -1.1262         | -1.7216       |
| 0.0458        | 0.2157 | 3000  | 0.0506          | -12.8337       | -41.3538         | 0.9942             | 28.5201         | -523.6852      | -212.8855    | -1.3210         | -1.8884       |
| 0.0295        | 0.2876 | 4000  | 0.0534          | -12.7034       | -45.1669         | 0.9942             | 32.4635         | -561.8164      | -211.5826    | -1.2303         | -1.8040       |
| 0.0442        | 0.3595 | 5000  | 0.0428          | -10.9032       | -42.1320         | 0.9955             | 31.2288         | -531.4679      | -193.5811    | -1.2327         | -1.8028       |
| 0.0329        | 0.4313 | 6000  | 0.0365          | -8.5207        | -36.8790         | 0.9951             | 28.3583         | -478.9377      | -169.7559    | -1.2024         | -1.7841       |
| 0.0384        | 0.5032 | 7000  | 0.0418          | -12.1405       | -46.4364         | 0.9955             | 34.2959         | -574.5117      | -205.9535    | -1.1646         | -1.7549       |
| 0.0596        | 0.5751 | 8000  | 0.0344          | -8.7801        | -39.5544         | 0.9951             | 30.7743         | -505.6917      | -172.3499    | -1.2145         | -1.7970       |
| 0.0437        | 0.6470 | 9000  | 0.0347          | -9.4417        | -41.5833         | 0.9955             | 32.1416         | -525.9807      | -178.9660    | -1.1796         | -1.7709       |
| 0.0203        | 0.7189 | 10000 | 0.0357          | -9.3723        | -41.8496         | 0.9951             | 32.4773         | -528.6439      | -178.2718    | -1.1694         | -1.7593       |
| 0.0257        | 0.7908 | 11000 | 0.0347          | -8.6569        | -40.6073         | 0.9961             | 31.9505         | -516.2208      | -171.1173    | -1.1821         | -1.7676       |
| 0.0355        | 0.8627 | 12000 | 0.0332          | -8.4060        | -40.1402         | 0.9964             | 31.7342         | -511.5494      | -168.6083    | -1.1878         | -1.7722       |
| 0.0553        | 0.9346 | 13000 | 0.0325          | -8.0882        | -39.4615         | 0.9958             | 31.3733         | -504.7621      | -165.4306    | -1.1893         | -1.7730       |


### Framework versions

- PEFT 0.10.0
- Transformers 4.44.0
- Pytorch 2.3.0+cu121
- Datasets 2.14.7
- Tokenizers 0.19.1