---
license: apache-2.0
tags:
- generated_from_trainer
datasets: cmotions/Beatles_lyrics
widget:
- text: Last night in Kiev the
  example_title: Kiev
- text: It hasn't rained in weeks
  example_title: Rain
model-index:
- name: DistilGPT2-Beatles-Lyrics-finetuned-newlyrics
  results: []
---

# DistilGPT2-Beatles-Lyrics-finetuned-newlyrics

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the [Cmotions - Beatles lyrics](https://huggingface.co/datasets/cmotions/Beatles_lyrics) dataset. It will complete an input prompt with Beatles-like text.

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.786         | 1.0   | 18   | 2.0410          |
| 2.5587        | 2.0   | 36   | 1.9280          |
| 2.3651        | 3.0   | 54   | 1.8829          |
| 2.2759        | 4.0   | 72   | 1.8473          |
| 2.1241        | 5.0   | 90   | 1.8237          |
| 2.1018        | 6.0   | 108  | 1.8535          |
| 1.8537        | 7.0   | 126  | 1.8497          |
| 1.7859        | 8.0   | 144  | 1.8618          |
| 1.69          | 9.0   | 162  | 1.8657          |
| 1.6481        | 10.0  | 180  | 1.8711          |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1