---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-3B-Instruct
tags:
- trl
- orpo
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7838
- Rewards/chosen: -0.0726
- Rewards/rejected: -0.1414
- Rewards/accuracies: 1.0
- Rewards/margins: 0.0688
- Logps/rejected: -1.4145
- Logps/chosen: -0.7263
- Logits/rejected: -1.3572
- Logits/chosen: -1.0579
- Nll Loss: 0.7279
- Log Odds Ratio: -0.3123
- Log Odds Chosen: 1.0916

## 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: 8e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Nll Loss | Log Odds Ratio | Log Odds Chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
| 4.0477        | 1.6   | 10   | 2.6148          | -0.1668        | -0.2037          | 0.8333             | 0.0369          | -2.0366        | -1.6676      | -0.5541         | -0.3265       | 2.5641   | -0.5002        | 0.4474          |
| 1.7128        | 3.2   | 20   | 1.3152          | -0.1092        | -0.1512          | 0.8333             | 0.0421          | -1.5124        | -1.0917      | -1.2255         | -0.9402       | 1.2267   | -0.4566        | 0.5915          |
| 0.9601        | 4.8   | 30   | 0.9698          | -0.0833        | -0.1380          | 1.0                | 0.0547          | -1.3800        | -0.8326      | -1.2364         | -0.9499       | 0.8983   | -0.3832        | 0.8390          |
| 0.7231        | 6.4   | 40   | 0.8362          | -0.0752        | -0.1390          | 1.0                | 0.0638          | -1.3898        | -0.7521      | -1.3672         | -1.0683       | 0.7749   | -0.3345        | 1.0067          |
| 0.6324        | 8.0   | 50   | 0.7904          | -0.0729        | -0.1410          | 1.0                | 0.0681          | -1.4101        | -0.7290      | -1.3658         | -1.0673       | 0.7331   | -0.3152        | 1.0809          |
| 0.6228        | 9.6   | 60   | 0.7838          | -0.0726        | -0.1414          | 1.0                | 0.0688          | -1.4145        | -0.7263      | -1.3572         | -1.0579       | 0.7279   | -0.3123        | 1.0916          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.2.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1