---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- wer
- bleu
model-index:
- name: ethiopic-sec2sec-supervised
  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-supervised

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1136
- Wer: 0.0503
- Cer: 0.0127
- Bleu: 90.3096

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    | Cer    | Bleu    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:-------:|
| 0.1032        | 1.0   | 40338 | 0.1136          | 0.0503 | 0.0127 | 90.3096 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1