---
license: other
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B
model-index:
- name: llama3-L1-SFT-L2-DPO
  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-L1-SFT-L2-DPO

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: 0.0028
- Rewards/chosen: -0.4016
- Rewards/rejected: -9.3312
- Rewards/accuracies: 1.0
- Rewards/margins: 8.9296
- Logps/rejected: -994.2072
- Logps/chosen: -84.5141
- Logits/rejected: 1.5698
- Logits/chosen: 0.6541

## 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-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0033        | 0.2497 | 1000 | 0.0065          | -0.3610        | -7.6953          | 1.0                | 7.3344          | -830.6234      | -80.4518     | 1.5489          | 0.7452        |
| 0.0013        | 0.4995 | 2000 | 0.0031          | -0.3798        | -9.1892          | 1.0                | 8.8094          | -980.0131      | -82.3365     | 1.5546          | 0.6455        |
| 0.0019        | 0.7492 | 3000 | 0.0028          | -0.3966        | -9.3440          | 1.0                | 8.9474          | -995.4902      | -84.0208     | 1.5703          | 0.6568        |
| 0.0011        | 0.9989 | 4000 | 0.0028          | -0.4016        | -9.3312          | 1.0                | 8.9296          | -994.2072      | -84.5141     | 1.5698          | 0.6541        |


### Framework versions

- PEFT 0.7.1
- Transformers 4.40.2
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1