---
base_model: meta-llama/Meta-Llama-3-8B
library_name: peft
license: llama3
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: llama3-pycodestyle-120
  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. -->

# llama3-pycodestyle-120

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2900
- Accuracy: 0.8667

## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4901        | 1.0   | 15   | 0.8535          | 0.7667   |
| 0.4173        | 2.0   | 30   | 0.5511          | 0.8667   |
| 0.1045        | 3.0   | 45   | 0.4051          | 0.9      |
| 0.0045        | 4.0   | 60   | 0.8764          | 0.9      |
| 0.0002        | 5.0   | 75   | 1.2900          | 0.8667   |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1