---
language:
- ar
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- Arbi-Houssem/datasetSTT-TTS
model-index:
- name: SpeechT5 TTS Tunisie
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# SpeechT5 TTS Tunisie

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the datasetSTT-TTS dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9733

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.4167 | 10   | 0.9837          |
| No log        | 0.8333 | 20   | 0.9733          |


### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1