transformers safetensors gpt2 text-generation generated_from_trainer base_model:gpt2 license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: ft-GPT2-with-lyrics
  results: []
---

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# ft-GPT2-with-lyrics

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: 1.1112

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0058        | 1.0   | 71   | 1.5293          |
| 1.5797        | 2.0   | 142  | 1.3814          |
| 1.4549        | 3.0   | 213  | 1.3093          |
| 1.3837        | 4.0   | 284  | 1.2661          |
| 1.3354        | 5.0   | 355  | 1.2328          |
| 1.2976        | 6.0   | 426  | 1.2142          |
| 1.2678        | 7.0   | 497  | 1.1973          |
| 1.2401        | 8.0   | 568  | 1.1825          |
| 1.2168        | 9.0   | 639  | 1.1737          |
| 1.1971        | 10.0  | 710  | 1.1604          |
| 1.1797        | 11.0  | 781  | 1.1529          |
| 1.1671        | 12.0  | 852  | 1.1451          |
| 1.1517        | 13.0  | 923  | 1.1395          |
| 1.1389        | 14.0  | 994  | 1.1357          |
| 1.1267        | 15.0  | 1065 | 1.1325          |
| 1.1189        | 16.0  | 1136 | 1.1278          |
| 1.1076        | 17.0  | 1207 | 1.1246          |
| 1.1019        | 18.0  | 1278 | 1.1201          |
| 1.0925        | 19.0  | 1349 | 1.1201          |
| 1.0885        | 20.0  | 1420 | 1.1159          |
| 1.0806        | 21.0  | 1491 | 1.1165          |
| 1.0785        | 22.0  | 1562 | 1.1178          |
| 1.0703        | 23.0  | 1633 | 1.1171          |
| 1.0674        | 24.0  | 1704 | 1.1130          |
| 1.0604        | 25.0  | 1775 | 1.1132          |
| 1.062         | 26.0  | 1846 | 1.1120          |
| 1.0545        | 27.0  | 1917 | 1.1123          |
| 1.0534        | 28.0  | 1988 | 1.1106          |
| 1.0528        | 29.0  | 2059 | 1.1115          |
| 1.0516        | 30.0  | 2130 | 1.1112          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.1
