---
license: llama3.1
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3.1-8B
model-index:
- name: Meta-Llama-3.1-8B-LoRA-test
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Meta-Llama-3.1-8B-LoRA-test

This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0524

## 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-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.1011        | 0.5297 | 500  | 2.0794          |
| 2.0793        | 1.0595 | 1000 | 2.0575          |
| 2.0905        | 1.5892 | 1500 | 2.0535          |
| 1.9968        | 2.1189 | 2000 | 2.0525          |
| 2.0262        | 2.6487 | 2500 | 2.0524          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1