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transliterate_try
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0770
- Precision: 0.9789
- Recall: 0.9789
- F1: 0.9789
- Accuracy: 0.9789
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: 32
- 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 68 | 0.1379 | 0.9535 | 0.9535 | 0.9535 | 0.9535 |
| No log | 2.0 | 136 | 0.1042 | 0.9661 | 0.9661 | 0.9661 | 0.9661 |
| No log | 3.0 | 204 | 0.0916 | 0.9718 | 0.9718 | 0.9718 | 0.9718 |
| No log | 4.0 | 272 | 0.0920 | 0.9724 | 0.9724 | 0.9724 | 0.9724 |
| No log | 5.0 | 340 | 0.0887 | 0.9746 | 0.9746 | 0.9746 | 0.9746 |
| No log | 6.0 | 408 | 0.0791 | 0.9770 | 0.9770 | 0.9770 | 0.9770 |
| No log | 7.0 | 476 | 0.0794 | 0.9779 | 0.9779 | 0.9779 | 0.9779 |
| No log | 8.0 | 544 | 0.0793 | 0.9783 | 0.9783 | 0.9783 | 0.9783 |
| No log | 9.0 | 612 | 0.0748 | 0.9796 | 0.9796 | 0.9796 | 0.9796 |
| No log | 10.0 | 680 | 0.0770 | 0.9789 | 0.9789 | 0.9789 | 0.9789 |
Framework versions
- Transformers 4.28.1
- Pytorch 1.13.0+cu117
- Datasets 2.11.0
- Tokenizers 0.11.6
