gbert-large
This model is a fine-tuned version of deepset/gbert-large
It was fine-tuned on poetry from Projekt Gutenberg in order to do masked language modeling tasks in poetry generation (synonym creation for rythm and to find rhyming pairs)
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 2.7515 | 1.0 | 2481 | 2.5493 |
| 2.5626 | 2.0 | 4962 | 2.4392 |
| 2.4839 | 3.0 | 7443 | 2.3692 |
| 2.4082 | 4.0 | 9924 | 2.3425 |
| 2.3109 | 5.0 | 12405 | 2.2934 |
| 2.2551 | 6.0 | 14886 | 2.2582 |
| 2.2154 | 7.0 | 17367 | 2.2062 |
| 2.2003 | 8.0 | 19848 | 2.1962 |
| 2.1616 | 9.0 | 22329 | 2.1991 |
| 2.1462 | 10.0 | 24810 | 2.1519 |
Framework versions
- Transformers 4.19.4
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
