robertuito-base-cased
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3006
- Accuracy: 0.9738
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2557 | 1.0 | 3611 | 0.2650 | 0.9383 |
| 0.1543 | 2.0 | 7222 | 0.1762 | 0.9632 |
| 0.0792 | 3.0 | 10833 | 0.1959 | 0.9601 |
| 0.0565 | 4.0 | 14444 | 0.2106 | 0.9670 |
| 0.0507 | 5.0 | 18055 | 0.2597 | 0.9664 |
| 0.0297 | 6.0 | 21666 | 0.2761 | 0.9688 |
| 0.0531 | 7.0 | 25277 | 0.2336 | 0.9514 |
| 0.166 | 8.0 | 28888 | 0.2249 | 0.9688 |
| 0.0112 | 9.0 | 32499 | 0.2416 | 0.9720 |
| 0.0129 | 10.0 | 36110 | 0.2840 | 0.9713 |
| 0.0041 | 11.0 | 39721 | 0.2673 | 0.9695 |
| 0.0023 | 12.0 | 43332 | 0.3371 | 0.9664 |
| 0.0022 | 13.0 | 46943 | 0.3109 | 0.9688 |
| 0.0023 | 14.0 | 50554 | 0.2464 | 0.9757 |
| 0.0042 | 15.0 | 54165 | 0.3368 | 0.9688 |
| 0.001 | 16.0 | 57776 | 0.2903 | 0.9726 |
| 0.001 | 17.0 | 61387 | 0.3165 | 0.9707 |
| 0.0006 | 18.0 | 64998 | 0.2619 | 0.9769 |
| 0.0 | 19.0 | 68609 | 0.3053 | 0.9732 |
| 0.0 | 20.0 | 72220 | 0.3001 | 0.9745 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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