---
library_name: transformers
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: lyric-gpt
  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. -->

# 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: 5.4268

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4133        | 1.0   | 92   | 3.1858          |
| 2.8751        | 2.0   | 184  | 3.2040          |
| 2.9241        | 3.0   | 276  | 3.2442          |
| 2.8796        | 4.0   | 368  | 3.2893          |
| 2.5508        | 5.0   | 460  | 3.3988          |
| 2.3505        | 6.0   | 552  | 3.4852          |
| 2.1709        | 7.0   | 644  | 3.5973          |
| 1.9833        | 8.0   | 736  | 3.7801          |
| 1.9428        | 9.0   | 828  | 3.8925          |
| 1.6357        | 10.0  | 920  | 4.0321          |
| 1.6304        | 11.0  | 1012 | 4.1989          |
| 1.5399        | 12.0  | 1104 | 4.3302          |
| 1.3642        | 13.0  | 1196 | 4.4324          |
| 1.2646        | 14.0  | 1288 | 4.5765          |
| 1.0898        | 15.0  | 1380 | 4.7299          |
| 1.0398        | 16.0  | 1472 | 4.7749          |
| 0.945         | 17.0  | 1564 | 4.8901          |
| 0.8175        | 18.0  | 1656 | 4.9615          |
| 0.8893        | 19.0  | 1748 | 5.0045          |
| 0.8573        | 20.0  | 1840 | 5.1104          |
| 0.7946        | 21.0  | 1932 | 5.1732          |
| 0.713         | 22.0  | 2024 | 5.2327          |
| 0.7842        | 23.0  | 2116 | 5.2922          |
| 0.6976        | 24.0  | 2208 | 5.2967          |
| 0.6625        | 25.0  | 2300 | 5.3163          |
| 0.6503        | 26.0  | 2392 | 5.3695          |
| 0.5927        | 27.0  | 2484 | 5.3891          |
| 0.6025        | 28.0  | 2576 | 5.4029          |
| 0.6163        | 29.0  | 2668 | 5.4203          |
| 0.5178        | 30.0  | 2760 | 5.4268          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0