---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
datasets:
- generator
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 the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 4.1599

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.4743        | 0.2   | 30   | 5.0870          |
| 4.6204        | 0.4   | 60   | 4.1067          |
| 3.6208        | 0.6   | 90   | 3.3209          |
| 2.8321        | 0.79  | 120  | 3.0225          |
| 2.5107        | 0.99  | 150  | 2.7852          |
| 2.1614        | 1.19  | 180  | 2.7309          |
| 1.868         | 1.39  | 210  | 2.8328          |
| 1.7025        | 1.59  | 240  | 2.9077          |
| 1.4511        | 1.79  | 270  | 3.0556          |
| 1.1884        | 1.99  | 300  | 3.3297          |
| 1.0243        | 2.19  | 330  | 3.4177          |
| 0.9155        | 2.38  | 360  | 3.4031          |
| 0.7844        | 2.58  | 390  | 3.6728          |
| 0.688         | 2.78  | 420  | 4.0511          |
| 0.7049        | 2.98  | 450  | 4.1599          |


### Framework versions

- Transformers 4.39.2
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2