---
library_name: peft
license: llama3.1
base_model: meta-llama/Llama-3.1-8B
tags:
- generated_from_trainer
model-index:
- name: llama3.1_8b_lawyer_finetuned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama3.1_8b_lawyer_finetuned

This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0646

## 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-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.1181        | 0.3794 | 500  | 0.1088          |
| 0.0884        | 0.7587 | 1000 | 0.0817          |
| 0.0792        | 1.1381 | 1500 | 0.0749          |
| 0.0739        | 1.5175 | 2000 | 0.0710          |
| 0.0705        | 1.8968 | 2500 | 0.0678          |
| 0.0623        | 2.2762 | 3000 | 0.0661          |
| 0.062         | 2.6555 | 3500 | 0.0646          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3