---
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-0.05-lr6e-7-e1
  results: []
---

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# Llama0-3-8b-v0.1-p-0.05-lr6e-7-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: 0.6348
- Rewards/chosen: -0.7856
- Rewards/rejected: -0.8817
- Rewards/accuracies: 0.5766
- Rewards/margins: 0.0961
- Logps/rejected: -174.9295
- Logps/chosen: -166.8561
- Logits/rejected: 0.2248
- Logits/chosen: 0.2123

## 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: 6e-07
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6639        | 0.2137 | 100  | 0.6632          | -0.0650        | -0.0751          | 0.5968             | 0.0101          | -94.2649       | -94.7914     | 0.0767          | 0.0572        |
| 0.6507        | 0.4275 | 200  | 0.6492          | -0.2974        | -0.3355          | 0.6008             | 0.0381          | -120.3051      | -118.0318    | 0.1386          | 0.1215        |
| 0.6383        | 0.6412 | 300  | 0.6397          | -0.6120        | -0.6852          | 0.5887             | 0.0732          | -155.2713      | -149.4875    | 0.2203          | 0.2063        |
| 0.6362        | 0.8549 | 400  | 0.6356          | -0.7457        | -0.8367          | 0.5766             | 0.0910          | -170.4306      | -162.8660    | 0.2216          | 0.2081        |


### Framework versions

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