---
language:
- ara
license: mit
base_model: MBZUAI/speecht5_tts_clartts_ar
tags:
- generated_from_trainer
datasets:
- Arbi-Houssem/Tunisian_dataset_STT-TTS15s_filtred1.0_Mixed
model-index:
- name: SpeechT5 TTS Tunisien
  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. -->

# SpeechT5 TTS Tunisien

This model is a fine-tuned version of [MBZUAI/speecht5_tts_clartts_ar](https://huggingface.co/MBZUAI/speecht5_tts_clartts_ar) on the Tunisian_dataset_STT-TTS15s_filtred1.0_Mixed dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4403

## 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: 8
- 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: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step  | Validation Loss |
|:-------------:|:--------:|:-----:|:---------------:|
| 0.6355        | 6.6667   | 500   | 0.5657          |
| 0.5548        | 13.3333  | 1000  | 0.5314          |
| 0.539         | 20.0     | 1500  | 0.5286          |
| 0.5475        | 26.6667  | 2000  | 0.5220          |
| 0.5031        | 33.3333  | 2500  | 0.5193          |
| 0.5077        | 40.0     | 3000  | 0.5174          |
| 0.4724        | 46.6667  | 3500  | 0.4577          |
| 0.54          | 53.3333  | 4000  | 0.4610          |
| 0.5289        | 60.0     | 4500  | 0.4431          |
| 0.53          | 66.6667  | 5000  | 0.4414          |
| 0.5029        | 73.3333  | 5500  | 0.4404          |
| 0.4944        | 80.0     | 6000  | 0.4406          |
| 0.508         | 86.6667  | 6500  | 0.4385          |
| 0.5019        | 93.3333  | 7000  | 0.4410          |
| 0.4639        | 100.0    | 7500  | 0.4394          |
| 0.4918        | 106.6667 | 8000  | 0.4408          |
| 0.4914        | 113.3333 | 8500  | 0.4401          |
| 0.4747        | 120.0    | 9000  | 0.4413          |
| 0.4886        | 126.6667 | 9500  | 0.4409          |
| 0.4504        | 133.3333 | 10000 | 0.4403          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1