---
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-lr5e-7-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-lr5e-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: 0.6647
- Rewards/chosen: -0.4944
- Rewards/rejected: -0.5567
- Rewards/accuracies: 0.5968
- Rewards/margins: 0.0624
- Logps/rejected: -142.4301
- Logps/chosen: -137.7279
- Logits/rejected: 0.1487
- Logits/chosen: 0.1334

## 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-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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6888        | 0.2137 | 100  | 0.6885          | -0.0371        | -0.0441          | 0.5806             | 0.0070          | -91.1662       | -92.0013     | 0.0596          | 0.0400        |
| 0.6799        | 0.4275 | 200  | 0.6786          | -0.1682        | -0.1907          | 0.6089             | 0.0225          | -105.8212      | -105.1108    | 0.1016          | 0.0832        |
| 0.669         | 0.6412 | 300  | 0.6697          | -0.3621        | -0.4081          | 0.6008             | 0.0459          | -127.5619      | -124.5048    | 0.1494          | 0.1334        |
| 0.6673        | 0.8549 | 400  | 0.6657          | -0.4687        | -0.5277          | 0.5887             | 0.0590          | -139.5236      | -135.1644    | 0.1472          | 0.1318        |


### Framework versions

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