---
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
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# 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