| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - precision |
| - recall |
| - f1 |
| - accuracy |
| model-index: |
| - name: transliterate_try |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # 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 |
| |
