---
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-lr1e-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-lr1e-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: 0.0114
- Rewards/chosen: -180.9830
- Rewards/rejected: -175.0705
- Rewards/accuracies: 0.4395
- Rewards/margins: -5.9126
- Logps/rejected: -17593.8047
- Logps/chosen: -18186.5996
- Logits/rejected: -7.0208
- Logits/chosen: -7.0530

## 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: 1e-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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.1446        | 0.2137 | 100  | 0.0699          | -18.5094       | -17.6715         | 0.4919             | -0.8378         | -1853.9094     | -1939.2302   | -1.3162         | -1.3101       |
| 0.014         | 0.4275 | 200  | 0.0129          | -163.4562      | -159.6935        | 0.4556             | -3.7627         | -16056.1084    | -16433.9180  | -5.9717         | -5.9933       |
| 0.0162        | 0.6412 | 300  | 0.0155          | -112.5662      | -107.6031        | 0.4516             | -4.9631         | -10847.0625    | -11344.9082  | -6.2349         | -6.2804       |
| 0.0108        | 0.8549 | 400  | 0.0121          | -183.4940      | -177.6753        | 0.4435             | -5.8188         | -17854.2852    | -18437.6973  | -7.0250         | -7.0544       |


### Framework versions

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