---
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-dpo-lr1e-6-e1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama0-3-8b-v0.1-dpo-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: 0.6081
- Rewards/chosen: -1.5097
- Rewards/rejected: -1.7233
- Rewards/accuracies: 0.6129
- Rewards/margins: 0.2136
- Logps/rejected: -259.0845
- Logps/chosen: -239.2623
- Logits/rejected: 0.4158
- Logits/chosen: 0.4094

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.652         | 0.2137 | 100  | 0.6498          | -0.3163        | -0.3568          | 0.6169             | 0.0405          | -122.4376      | -119.9265    | 0.1437          | 0.1272        |
| 0.6273        | 0.4275 | 200  | 0.6269          | -0.8960        | -1.0115          | 0.6129             | 0.1155          | -187.9061      | -177.8965    | 0.3135          | 0.3044        |
| 0.6152        | 0.6412 | 300  | 0.6155          | -1.2887        | -1.4649          | 0.6129             | 0.1762          | -233.2506      | -217.1634    | 0.4062          | 0.4005        |
| 0.608         | 0.8549 | 400  | 0.6094          | -1.4301        | -1.6328          | 0.6089             | 0.2027          | -250.0380      | -231.3053    | 0.4062          | 0.4004        |


### Framework versions

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