---
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: 4.9260

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 9.4997        | 0.18  | 10   | 8.0307          |
| 7.1464        | 0.36  | 20   | 7.0639          |
| 6.7447        | 0.54  | 30   | 6.8856          |
| 6.4819        | 0.72  | 40   | 6.6801          |
| 6.2576        | 0.9   | 50   | 6.4703          |
| 6.0151        | 1.08  | 60   | 6.2236          |
| 5.7178        | 1.26  | 70   | 6.0277          |
| 5.5432        | 1.44  | 80   | 5.8780          |
| 5.4003        | 1.62  | 90   | 5.7475          |
| 5.2611        | 1.8   | 100  | 5.6555          |
| 5.1703        | 1.98  | 110  | 5.5344          |
| 5.0115        | 2.16  | 120  | 5.4731          |
| 4.9182        | 2.34  | 130  | 5.3787          |
| 4.8519        | 2.52  | 140  | 5.3300          |
| 4.7389        | 2.7   | 150  | 5.2398          |
| 4.6887        | 2.88  | 160  | 5.1947          |
| 4.5515        | 3.06  | 170  | 5.1424          |
| 4.4606        | 3.24  | 180  | 5.1048          |
| 4.4699        | 3.42  | 190  | 5.0667          |
| 4.3777        | 3.6   | 200  | 5.0200          |
| 4.3894        | 3.78  | 210  | 4.9892          |
| 4.3143        | 3.96  | 220  | 4.9688          |
| 4.2688        | 4.14  | 230  | 4.9515          |
| 4.2468        | 4.32  | 240  | 4.9410          |
| 4.2191        | 4.5   | 250  | 4.9304          |
| 4.2512        | 4.68  | 260  | 4.9270          |
| 4.217         | 4.86  | 270  | 4.9260          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2