---
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_test
  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_test

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: 0.0381
- Rewards/chosen: -9.3770
- Rewards/rejected: -40.9760
- Rewards/accuracies: 0.9961
- Rewards/margins: 31.5990
- Logps/rejected: -519.9075
- Logps/chosen: -178.3189
- Logits/rejected: -1.4901
- Logits/chosen: -1.9907

## 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 |
|:-------------:|:------:|:-----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0864        | 0.0719 | 1000  | 0.1031          | -24.3451       | -55.7071         | 0.9919             | 31.3620         | -667.2187      | -328.0001    | -1.3920         | -1.9101       |
| 0.0721        | 0.1438 | 2000  | 0.0666          | -17.1956       | -43.6489         | 0.9932             | 26.4533         | -546.6367      | -256.5046    | -1.3146         | -1.8819       |
| 0.0513        | 0.2157 | 3000  | 0.0586          | -13.4148       | -39.7394         | 0.9932             | 26.3247         | -507.5419      | -218.6962    | -1.5754         | -2.0549       |
| 0.0391        | 0.2876 | 4000  | 0.0518          | -11.9859       | -42.5627         | 0.9942             | 30.5768         | -535.7746      | -204.4073    | -1.5376         | -2.0293       |
| 0.0431        | 0.3595 | 5000  | 0.0584          | -15.0281       | -51.9022         | 0.9945             | 36.8741         | -629.1698      | -234.8300    | -1.5020         | -2.0037       |
| 0.0386        | 0.4313 | 6000  | 0.0399          | -10.5384       | -39.9545         | 0.9961             | 29.4161         | -509.6927      | -189.9328    | -1.5356         | -2.0315       |
| 0.0417        | 0.5032 | 7000  | 0.0452          | -11.8813       | -46.2602         | 0.9955             | 34.3789         | -572.7493      | -203.3616    | -1.4399         | -1.9551       |
| 0.06          | 0.5751 | 8000  | 0.0387          | -9.4865        | -39.5614         | 0.9958             | 30.0749         | -505.7617      | -179.4136    | -1.5289         | -2.0209       |
| 0.0478        | 0.6470 | 9000  | 0.0376          | -9.9444        | -40.6988         | 0.9961             | 30.7544         | -517.1356      | -183.9923    | -1.5154         | -2.0106       |
| 0.022         | 0.7189 | 10000 | 0.0399          | -9.6813        | -41.9896         | 0.9961             | 32.3084         | -530.0439      | -181.3615    | -1.4896         | -1.9912       |
| 0.0254        | 0.7908 | 11000 | 0.0378          | -9.1448        | -40.6698         | 0.9961             | 31.5250         | -516.8457      | -175.9964    | -1.5031         | -2.0023       |
| 0.0357        | 0.8627 | 12000 | 0.0387          | -9.6321        | -41.6962         | 0.9961             | 32.0641         | -527.1096      | -180.8692    | -1.4851         | -1.9878       |
| 0.0626        | 0.9346 | 13000 | 0.0381          | -9.3770        | -40.9760         | 0.9961             | 31.5990         | -519.9075      | -178.3189    | -1.4901         | -1.9907       |


### Framework versions

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