---
library_name: peft
license: llama2
base_model: meta-llama/CodeLlama-7b-hf
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: codellama-pycodestyle-tok
  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. -->

# codellama-pycodestyle-tok

This model is a fine-tuned version of [meta-llama/CodeLlama-7b-hf](https://huggingface.co/meta-llama/CodeLlama-7b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7047
- Accuracy: 0.4917

## 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: 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9262        | 1.0   | 60   | 0.8122          | 0.5417   |
| 0.7149        | 2.0   | 120  | 0.6990          | 0.4583   |
| 0.7235        | 3.0   | 180  | 0.7047          | 0.4917   |


### Framework versions

- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0