---
base_model: codeparrot/codeparrot
tags:
- generated_from_trainer
model-index:
- name: fineTuneCodeParotWithPrompt
  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. -->

# fineTuneCodeParotWithPrompt

This model is a fine-tuned version of [codeparrot/codeparrot](https://huggingface.co/codeparrot/codeparrot) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1941

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3654        | 1.0   | 1000 | 0.2371          |
| 0.189         | 2.0   | 2000 | 0.2040          |
| 0.1336        | 3.0   | 3000 | 0.1892          |
| 0.0963        | 4.0   | 4000 | 0.1837          |
| 0.0668        | 5.0   | 5000 | 0.1941          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1