---
library_name: transformers
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: Llama0-3-8b-v0.1-p-2-lr5e-6-e1
  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. -->

# Llama0-3-8b-v0.1-p-2-lr5e-6-e1

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: 0.0071
- Rewards/chosen: -325.0106
- Rewards/rejected: -326.4964
- Rewards/accuracies: 0.4839
- Rewards/margins: 1.4858
- Logps/rejected: -32736.4023
- Logps/chosen: -32589.3574
- Logits/rejected: 15.2095
- Logits/chosen: 15.1707

## 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: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0157        | 0.2137 | 100  | 0.0113          | -210.0611      | -211.0992        | 0.4597             | 1.0381          | -21196.6719    | -21094.4004  | 13.2797         | 13.2492       |
| 0.0103        | 0.4275 | 200  | 0.0100          | -295.4855      | -293.2994        | 0.5081             | -2.1861         | -29416.6973    | -29636.8457  | 14.5637         | 14.5474       |
| 0.0074        | 0.6412 | 300  | 0.0081          | -286.9739      | -284.4362        | 0.4718             | -2.5377         | -28530.3730    | -28785.6816  | 14.5532         | 14.6383       |
| 0.0061        | 0.8549 | 400  | 0.0073          | -253.9528      | -254.9697        | 0.5040             | 1.0169          | -25583.7266    | -25483.5762  | 13.4697         | 13.4536       |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.20.0