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mt5_fill_puntuation
This model is a fine-tuned version of jamie613/mt5_fill_puntuation on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0717
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: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0918 | 0.04 | 500 | 0.0803 |
| 0.0894 | 0.07 | 1000 | 0.0773 |
| 0.0905 | 0.11 | 1500 | 0.0822 |
| 0.0908 | 0.15 | 2000 | 0.0833 |
| 0.0868 | 0.18 | 2500 | 0.0840 |
| 0.09 | 0.22 | 3000 | 0.0811 |
| 0.0868 | 0.26 | 3500 | 0.0735 |
| 0.0869 | 0.29 | 4000 | 0.0805 |
| 0.0874 | 0.33 | 4500 | 0.0742 |
| 0.088 | 0.37 | 5000 | 0.0749 |
| 0.0884 | 0.4 | 5500 | 0.0730 |
| 0.0861 | 0.44 | 6000 | 0.0749 |
| 0.0804 | 0.48 | 6500 | 0.0739 |
| 0.0845 | 0.51 | 7000 | 0.0717 |
| 0.0861 | 0.55 | 7500 | 0.0743 |
| 0.0812 | 0.59 | 8000 | 0.0726 |
| 0.0824 | 0.62 | 8500 | 0.0729 |
| 0.0836 | 0.66 | 9000 | 0.0751 |
| 0.079 | 0.7 | 9500 | 0.0731 |
| 0.0806 | 0.73 | 10000 | 0.0725 |
| 0.0798 | 0.77 | 10500 | 0.0749 |
| 0.0794 | 0.81 | 11000 | 0.0725 |
| 0.0795 | 0.84 | 11500 | 0.0726 |
| 0.0755 | 0.88 | 12000 | 0.0732 |
| 0.0815 | 0.92 | 12500 | 0.0722 |
| 0.0776 | 0.95 | 13000 | 0.0719 |
| 0.0838 | 0.99 | 13500 | 0.0717 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
