---
library_name: peft
tags:
- trl
- orpo
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B-Instruct
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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/52g/huggingface/runs/xlq51xa8)
# results

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0888
- Rewards/chosen: -0.0906
- Rewards/rejected: -0.1196
- Rewards/accuracies: 0.8000
- Rewards/margins: 0.0290
- Logps/rejected: -1.1960
- Logps/chosen: -0.9064
- Logits/rejected: -1.3083
- Logits/chosen: -1.0410
- Nll Loss: 1.0376
- Log Odds Ratio: -0.5127
- Log Odds Chosen: 0.4766

## 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
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
| 1.0958        | 0.2020 | 25   | 1.4462          | -0.1303        | -0.1689          | 0.8000             | 0.0386          | -1.6887        | -1.3025      | -1.1831         | -0.9153       | 1.3976   | -0.4854        | 0.5211          |
| 1.2563        | 0.4040 | 50   | 1.2116          | -0.1057        | -0.1387          | 0.8000             | 0.0330          | -1.3872        | -1.0575      | -1.2714         | -1.0083       | 1.1616   | -0.5001        | 0.4913          |
| 1.3121        | 0.6061 | 75   | 1.1251          | -0.0952        | -0.1249          | 0.9000             | 0.0297          | -1.2491        | -0.9524      | -1.3022         | -1.0390       | 1.0740   | -0.5109        | 0.4726          |
| 1.3689        | 0.8081 | 100  | 1.0888          | -0.0906        | -0.1196          | 0.8000             | 0.0290          | -1.1960        | -0.9064      | -1.3083         | -1.0410       | 1.0376   | -0.5127        | 0.4766          |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1