---
base_model: meta-llama/Llama-3.2-1B-Instruct
library_name: peft
license: llama3.2
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: llama3.2-1B-dpo
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama3.2-1B-dpo

This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7077
- Rewards/chosen: -7.1636
- Rewards/rejected: -9.0302
- Rewards/accuracies: 0.4015
- Rewards/margins: 1.8666
- Logps/rejected: -197.2289
- Logps/chosen: -195.0906
- Logits/rejected: 0.2668
- Logits/chosen: 0.3537

## 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: 6
- eval_batch_size: 4
- seed: 42
- 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

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6114        | 0.3817 | 700  | 0.8334          | -7.6439        | -9.5517          | 0.3914             | 1.9077          | -202.4431      | -199.8938    | 0.4338          | 0.5238        |
| 0.6772        | 0.7634 | 1400 | 0.7077          | -7.1636        | -9.0302          | 0.4015             | 1.8666          | -197.2289      | -195.0906    | 0.2668          | 0.3537        |


### Framework versions

- PEFT 0.8.2
- Transformers 4.45.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.20.0