metadata
library_name: transformers
base_model: Samuael/ethiopic-sec2sec-tigrinya
tags:
- generated_from_trainer
metrics:
- wer
- bleu
model-index:
- name: ethiopic-sec2sec-tigrinya
results: []
ethiopic-sec2sec-tigrinya
This model is a fine-tuned version of 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