DistilGPT2-Beatles-Lyrics-finetuned
This model is a fine-tuned version of distilgpt2 on the Huggingartists - beatles dataset. It will complete an input prompt with Beatles-like text.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.748 | 1.0 | 165 | 2.3732 |
| 2.4395 | 2.0 | 330 | 2.1938 |
| 2.2968 | 3.0 | 495 | 2.1118 |
| 2.2075 | 4.0 | 660 | 2.0721 |
| 2.1393 | 5.0 | 825 | 2.0571 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.2.0
- Tokenizers 0.12.1
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