---
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: Meta-Llama-3-8B-Instruct
model-index:
- name: dpo
  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

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6845
- Rewards/chosen: 0.3768
- Rewards/rejected: 0.3499
- Rewards/accuracies: 0.5373
- Rewards/margins: 0.0269
- Logps/rejected: -233.9739
- Logps/chosen: -254.7565
- Logits/rejected: -0.6114
- Logits/chosen: -0.7300

## 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: 1
- seed: 0
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 2500

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6689        | 0.0567 | 750  | 0.6852          | 0.2546         | 0.2335           | 0.5373             | 0.0211          | -235.1381      | -255.9783    | -0.6108         | -0.7325       |
| 0.6831        | 0.1133 | 1500 | 0.6835          | 0.3555         | 0.3270           | 0.5597             | 0.0285          | -234.2029      | -254.9690    | -0.6135         | -0.7317       |
| 0.6821        | 0.1700 | 2250 | 0.6855          | 0.3655         | 0.3411           | 0.5485             | 0.0243          | -234.0616      | -254.8697    | -0.6115         | -0.7293       |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1