---
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: 3.5557
- Wer: 0.2489
- Cer: 0.1202
- Bleu: 67.5274

## 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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    | Bleu    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:-------:|
| 0.071         | 1.0   | 433  | 3.5557          | 0.2489 | 0.1202 | 67.5274 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3