---
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: 5.1291

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 9.5166        | 0.2332 | 10   | 7.9560          |
| 7.161         | 0.4665 | 20   | 6.8948          |
| 6.7973        | 0.6997 | 30   | 6.7108          |
| 6.4652        | 0.9329 | 40   | 6.3878          |
| 6.1192        | 1.1662 | 50   | 6.1154          |
| 5.842         | 1.3994 | 60   | 5.8976          |
| 5.6262        | 1.6327 | 70   | 5.7493          |
| 5.4633        | 1.8659 | 80   | 5.6221          |
| 5.3212        | 2.0991 | 90   | 5.5376          |
| 5.1513        | 2.3324 | 100  | 5.4584          |
| 5.118         | 2.5656 | 110  | 5.3924          |
| 4.9714        | 2.7988 | 120  | 5.3301          |
| 4.9133        | 3.0321 | 130  | 5.2827          |
| 4.7702        | 3.2653 | 140  | 5.2460          |
| 4.7302        | 3.4985 | 150  | 5.2081          |
| 4.6988        | 3.7318 | 160  | 5.1740          |
| 4.6927        | 3.9650 | 170  | 5.1537          |
| 4.6044        | 4.1983 | 180  | 5.1442          |
| 4.5763        | 4.4315 | 190  | 5.1361          |
| 4.5913        | 4.6647 | 200  | 5.1298          |
| 4.5759        | 4.8980 | 210  | 5.1291          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1