tiny_ktoto_punctuator
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1342
- Precision: 0.6446
- Recall: 0.6184
- F1: 0.6312
- Accuracy: 0.9503
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: 4e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|
| 0.1452 | 1.0 | 5561 | 0.1409 | 0.6289 | 0.5973 | 0.6127 | 0.9481 |
| 0.1389 | 2.0 | 11122 | 0.1358 | 0.6415 | 0.6103 | 0.6255 | 0.9497 |
| 0.1352 | 3.0 | 16683 | 0.1342 | 0.6446 | 0.6184 | 0.6312 | 0.9503 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
