---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: codeparrot-ds
  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. -->

# codeparrot-ds

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.8844

## 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 9.4802        | 0.09  | 10   | 8.0848          |
| 7.1562        | 0.18  | 20   | 7.0980          |
| 6.7304        | 0.27  | 30   | 6.8591          |
| 6.4473        | 0.36  | 40   | 6.5896          |
| 6.1701        | 0.45  | 50   | 6.3632          |
| 5.9031        | 0.54  | 60   | 6.1809          |
| 5.7632        | 0.64  | 70   | 6.0362          |
| 5.6136        | 0.73  | 80   | 5.9606          |
| 5.5312        | 0.82  | 90   | 5.9088          |
| 5.5063        | 0.91  | 100  | 5.8893          |
| 5.4845        | 1.0   | 110  | 5.8844          |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.0.1
- Datasets 2.18.0
- Tokenizers 0.15.2