---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: lyric-gpt
  results: []
datasets:
- brunokreiner/genius-lyrics
pipeline_tag: text-generation
---

# lyric-gpt

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.4526

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5327        | 1.0   | 92   | 3.1885          |
| 2.8988        | 2.0   | 184  | 3.1986          |
| 3.0192        | 3.0   | 276  | 3.2477          |
| 2.5232        | 4.0   | 368  | 3.3318          |
| 2.3098        | 5.0   | 460  | 3.3899          |
| 2.1412        | 6.0   | 552  | 3.5328          |
| 2.3526        | 7.0   | 644  | 3.6322          |
| 2.06          | 8.0   | 736  | 3.7834          |
| 1.9477        | 9.0   | 828  | 3.8887          |
| 1.6156        | 10.0  | 920  | 4.0527          |
| 1.5496        | 11.0  | 1012 | 4.2364          |
| 1.5933        | 12.0  | 1104 | 4.3163          |
| 1.3698        | 13.0  | 1196 | 4.4754          |
| 1.308         | 14.0  | 1288 | 4.5911          |
| 1.1803        | 15.0  | 1380 | 4.6902          |
| 1.0212        | 16.0  | 1472 | 4.7977          |
| 0.9838        | 17.0  | 1564 | 4.9419          |
| 1.0065        | 18.0  | 1656 | 4.9470          |
| 0.8158        | 19.0  | 1748 | 5.0347          |
| 0.8352        | 20.0  | 1840 | 5.1256          |
| 0.8759        | 21.0  | 1932 | 5.1902          |
| 0.7176        | 22.0  | 2024 | 5.2542          |
| 0.7457        | 23.0  | 2116 | 5.2947          |
| 0.6683        | 24.0  | 2208 | 5.3511          |
| 0.6095        | 25.0  | 2300 | 5.3680          |
| 0.6247        | 26.0  | 2392 | 5.3916          |
| 0.5827        | 27.0  | 2484 | 5.4273          |
| 0.5742        | 28.0  | 2576 | 5.4394          |
| 0.5334        | 29.0  | 2668 | 5.4477          |
| 0.6028        | 30.0  | 2760 | 5.4526          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1