---
base_model: unsloth/Llama-3.2-3B-Instruct
library_name: peft
license: llama3.2
tags:
- trl
- orpo
- unsloth
- generated_from_trainer
model-index:
- name: outputs_test_new
  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. -->

# outputs_test_new

This model is a fine-tuned version of [unsloth/Llama-3.2-3B-Instruct](https://huggingface.co/unsloth/Llama-3.2-3B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8289
- Rewards/chosen: -0.0732
- Rewards/rejected: -0.1379
- Rewards/accuracies: 0.8333
- Rewards/margins: 0.0648
- Logps/rejected: -1.3794
- Logps/chosen: -0.7316
- Logits/rejected: -0.7685
- Logits/chosen: -0.1043
- Nll Loss: 0.7863
- Log Odds Ratio: -0.3910
- Log Odds Chosen: 0.9677

## 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: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2

### 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
| 0.7899        | 0.5747 | 50   | 0.8337          | -0.0734        | -0.1339          | 0.8333             | 0.0605          | -1.3386        | -0.7339      | -0.7673         | -0.1094       | 0.7900   | -0.4029        | 0.9116          |
| 0.4669        | 1.1494 | 100  | 0.8308          | -0.0734        | -0.1373          | 0.8333             | 0.0640          | -1.3735        | -0.7335      | -0.7682         | -0.1034       | 0.7880   | -0.3928        | 0.9564          |
| 0.6859        | 1.7241 | 150  | 0.8289          | -0.0732        | -0.1379          | 0.8333             | 0.0648          | -1.3794        | -0.7316      | -0.7685         | -0.1043       | 0.7863   | -0.3910        | 0.9677          |


### Framework versions

- PEFT 0.13.1
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1