---
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-v1
  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. -->

# llama3.2-1B-dpo-v1

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: 0.5037
- Rewards/chosen: -1.5976
- Rewards/rejected: -4.4612
- Rewards/accuracies: 0.7913
- Rewards/margins: 2.8637
- Logps/rejected: -449.0548
- Logps/chosen: -492.4157
- Logits/rejected: -0.4987
- Logits/chosen: -0.2456

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5478        | 0.0763 | 700  | 0.5414          | -0.1038        | -1.2895          | 0.7302             | 1.1857          | -417.3377      | -477.4783    | 0.2274          | 0.3639        |
| 0.5243        | 0.1527 | 1400 | 0.6105          | -1.3917        | -3.5270          | 0.7313             | 2.1353          | -439.7127      | -490.3575    | 0.3525          | 0.5136        |
| 0.6483        | 0.2290 | 2100 | 0.6370          | -3.1503        | -5.7506          | 0.7482             | 2.6003          | -461.9483      | -507.9432    | 0.2785          | 0.4243        |
| 0.687         | 0.3053 | 2800 | 0.5835          | -0.2196        | -2.3802          | 0.7391             | 2.1606          | -428.2447      | -478.6364    | 0.3201          | 0.4561        |
| 0.5813        | 0.3816 | 3500 | 0.5808          | -0.6116        | -3.0983          | 0.7609             | 2.4868          | -435.4256      | -482.5557    | 0.0172          | 0.2140        |
| 0.7066        | 0.4580 | 4200 | 0.5681          | -1.1058        | -3.4796          | 0.7564             | 2.3738          | -439.2385      | -487.4986    | 0.0611          | 0.2653        |
| 0.6408        | 0.5343 | 4900 | 0.5910          | -0.7319        | -3.5281          | 0.7659             | 2.7962          | -439.7232      | -483.7594    | -0.0603         | 0.1582        |
| 0.4565        | 0.6106 | 5600 | 0.5367          | -1.0688        | -3.9321          | 0.7867             | 2.8633          | -443.7639      | -487.1283    | -0.1924         | 0.0583        |
| 0.5482        | 0.6869 | 6300 | 0.5267          | -1.4234        | -4.2466          | 0.7888             | 2.8232          | -446.9083      | -490.6742    | -0.4528         | -0.2006       |
| 0.5196        | 0.7633 | 7000 | 0.5322          | -2.2017        | -5.1279          | 0.7888             | 2.9261          | -455.7211      | -498.4576    | -0.6046         | -0.3654       |
| 0.4858        | 0.8396 | 7700 | 0.5116          | -2.0986        | -5.0640          | 0.7938             | 2.9653          | -455.0820      | -497.4264    | -0.5200         | -0.2768       |
| 0.4581        | 0.9159 | 8400 | 0.5051          | -1.6669        | -4.5613          | 0.7913             | 2.8944          | -450.0557      | -493.1090    | -0.5097         | -0.2589       |
| 0.3934        | 0.9923 | 9100 | 0.5037          | -1.5976        | -4.4612          | 0.7913             | 2.8637          | -449.0548      | -492.4157    | -0.4987         | -0.2456       |


### Framework versions

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