---
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-lr6e-7-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-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: 0.0131
- Rewards/chosen: -187.5863
- Rewards/rejected: -185.7464
- Rewards/accuracies: 0.4839
- Rewards/margins: -1.8399
- Logps/rejected: -18661.3926
- Logps/chosen: -18846.9238
- Logits/rejected: -6.2589
- Logits/chosen: -6.2928

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.1724        | 0.2137 | 100  | 0.1723          | -0.1366        | -0.1256          | 0.4274             | -0.0110         | -99.3180       | -101.9561    | -0.1170         | -0.1376       |
| 0.0221        | 0.4275 | 200  | 0.0190          | -147.9461      | -146.7242        | 0.4798             | -1.2218         | -14759.1787    | -14882.8994  | -4.3358         | -4.3358       |
| 0.0129        | 0.6412 | 300  | 0.0151          | -161.7966      | -159.7617        | 0.4718             | -2.0349         | -16062.9199    | -16267.9521  | -5.5083         | -5.5487       |
| 0.0129        | 0.8549 | 400  | 0.0138          | -195.4678      | -193.5756        | 0.4637             | -1.8922         | -19444.3184    | -19635.0742  | -6.3235         | -6.3558       |


### Framework versions

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