---
license: llama3
library_name: peft
tags:
- trl
- orpo
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B
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/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6367
- Rewards/chosen: -0.0965
- Rewards/rejected: -0.4524
- Rewards/accuracies: 1.0
- Rewards/margins: 0.3560
- Logps/rejected: -2.2621
- Logps/chosen: -0.4823
- Logits/rejected: -1.8871
- Logits/chosen: -1.6815
- Nll Loss: 0.5673
- Log Odds Ratio: -0.0697
- Log Odds Chosen: 2.8182

## 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: 0.001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- 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 | Nll Loss | Log Odds Ratio | Log Odds Chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
| 4.5921        | 0.2126 | 11   | 3.5043          | -0.6803        | -0.8039          | 1.0                | 0.1236          | -4.0195        | -3.4015      | -3.2932         | -3.2264       | 3.3934   | -0.4430        | 0.6340          |
| 1.3234        | 0.4251 | 22   | 0.8683          | -0.1360        | -0.2818          | 1.0                | 0.1458          | -1.4090        | -0.6802      | -2.6124         | -2.3854       | 0.7738   | -0.2790        | 1.1626          |
| 0.7333        | 0.6377 | 33   | 0.8013          | -0.1269        | -0.3679          | 1.0                | 0.2410          | -1.8394        | -0.6346      | -2.3638         | -2.1864       | 0.7403   | -0.1581        | 1.8427          |
| 0.5916        | 0.8502 | 44   | 0.6367          | -0.0965        | -0.4524          | 1.0                | 0.3560          | -2.2621        | -0.4823      | -1.8871         | -1.6815       | 0.5673   | -0.0697        | 2.8182          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1