| | --- |
| | library_name: transformers |
| | base_model: Samuael/ethiopic-sec2sec-tigrinya |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - wer |
| | - bleu |
| | model-index: |
| | - name: ethiopic-sec2sec-tigrinya |
| | 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. --> |
| |
|
| | # ethiopic-sec2sec-tigrinya |
| |
|
| | This model is a fine-tuned version of [Samuael/ethiopic-sec2sec-tigrinya](https://huggingface.co/Samuael/ethiopic-sec2sec-tigrinya) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 4.3390 |
| | - Wer: 0.2570 |
| | - Cer: 0.1269 |
| | - Bleu: 67.2562 |
| |
|
| | ## 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: 0.0002 |
| | - train_batch_size: 64 |
| | - eval_batch_size: 128 |
| | - seed: 42 |
| | - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 9 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Bleu | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:-------:| |
| | | 0.086 | 1.0 | 433 | 4.0475 | 0.2592 | 0.1222 | 67.0097 | |
| | | 0.1177 | 2.0 | 866 | 3.8429 | 0.3645 | 0.2577 | 59.7600 | |
| | | 0.1312 | 3.0 | 1299 | 4.0294 | 0.2630 | 0.1337 | 66.8126 | |
| | | 0.1322 | 4.0 | 1732 | 4.1292 | 0.2527 | 0.1231 | 68.4884 | |
| | | 0.1411 | 5.0 | 2165 | 3.9989 | 0.2662 | 0.1358 | 66.4299 | |
| | | 0.1686 | 6.0 | 2598 | 4.1555 | 0.2592 | 0.1388 | 67.9808 | |
| | | 0.1587 | 7.0 | 3031 | 4.2802 | 0.2543 | 0.1264 | 66.9025 | |
| | | 0.1386 | 8.0 | 3464 | 4.2682 | 0.2554 | 0.1283 | 68.7450 | |
| | | 0.0886 | 9.0 | 3897 | 4.3390 | 0.2570 | 0.1269 | 67.2562 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.46.3 |
| | - Pytorch 2.5.1+cu121 |
| | - Datasets 3.1.0 |
| | - Tokenizers 0.20.3 |
| |
|
