---
library_name: transformers
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: 5.1374

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 9.5079        | 0.2186 | 10   | 8.1216          |
| 7.1151        | 0.4372 | 20   | 7.1928          |
| 6.6137        | 0.6557 | 30   | 6.8735          |
| 6.2329        | 0.8743 | 40   | 6.5471          |
| 5.8587        | 1.0929 | 50   | 6.2769          |
| 5.5239        | 1.3115 | 60   | 6.0781          |
| 5.3796        | 1.5301 | 70   | 5.9107          |
| 5.234         | 1.7486 | 80   | 5.7720          |
| 5.1009        | 1.9672 | 90   | 5.6632          |
| 4.8991        | 2.1858 | 100  | 5.5841          |
| 4.807         | 2.4044 | 110  | 5.5124          |
| 4.7083        | 2.6230 | 120  | 5.4414          |
| 4.6195        | 2.8415 | 130  | 5.3711          |
| 4.5424        | 3.0601 | 140  | 5.3166          |
| 4.3707        | 3.2787 | 150  | 5.2790          |
| 4.3599        | 3.4973 | 160  | 5.2316          |
| 4.3317        | 3.7158 | 170  | 5.1933          |
| 4.2907        | 3.9344 | 180  | 5.1684          |
| 4.21          | 4.1530 | 190  | 5.1599          |
| 4.2023        | 4.3716 | 200  | 5.1457          |
| 4.1793        | 4.5902 | 210  | 5.1398          |
| 4.1662        | 4.8087 | 220  | 5.1374          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1