---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: ethipic-sec2sec-tigrinya
  results: []
---

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# ethipic-sec2sec-tigrinya

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.1009
- eval_wer: 0.0416
- eval_cer: 0.0113
- eval_bleu: 91.6015
- eval_runtime: 30.3787
- eval_samples_per_second: 9.842
- eval_steps_per_second: 0.099
- epoch: 4.0
- step: 51000

## 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: 10
- mixed_precision_training: Native AMP

### Framework versions

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