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transliterate
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0324
- Precision: 0.9912
- Recall: 0.9912
- F1: 0.9912
- Accuracy: 0.9912
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 | 64 | 0.1049 | 0.9654 | 0.9654 | 0.9654 | 0.9654 |
| No log | 2.0 | 128 | 0.0665 | 0.9796 | 0.9796 | 0.9796 | 0.9796 |
| No log | 3.0 | 192 | 0.0513 | 0.9848 | 0.9848 | 0.9848 | 0.9848 |
| No log | 4.0 | 256 | 0.0434 | 0.9871 | 0.9871 | 0.9871 | 0.9871 |
| No log | 5.0 | 320 | 0.0390 | 0.9888 | 0.9888 | 0.9888 | 0.9888 |
| No log | 6.0 | 384 | 0.0364 | 0.9897 | 0.9897 | 0.9897 | 0.9897 |
| No log | 7.0 | 448 | 0.0345 | 0.9905 | 0.9905 | 0.9905 | 0.9905 |
| No log | 8.0 | 512 | 0.0334 | 0.9908 | 0.9908 | 0.9908 | 0.9908 |
| No log | 9.0 | 576 | 0.0334 | 0.9908 | 0.9908 | 0.9908 | 0.9908 |
| No log | 10.0 | 640 | 0.0324 | 0.9912 | 0.9912 | 0.9912 | 0.9912 |
Framework versions
- Transformers 4.28.1
- Pytorch 1.13.0+cu117
- Datasets 2.11.0
- Tokenizers 0.11.6
