---
library_name: transformers
license: mit
base_model: MBZUAI/speecht5_tts_clartts_ar
tags:
- generated_from_trainer
model-index:
- name: Sindhi-TTS
  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. -->

# Sindhi-TTS

This model is a fine-tuned version of [MBZUAI/speecht5_tts_clartts_ar](https://huggingface.co/MBZUAI/speecht5_tts_clartts_ar) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5882

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.6706        | 0.1996 | 100  | 0.6716          |
| 0.6365        | 0.3992 | 200  | 0.6357          |
| 0.6266        | 0.5988 | 300  | 0.6185          |
| 0.6172        | 0.7984 | 400  | 0.6162          |
| 0.6011        | 0.9980 | 500  | 0.6083          |
| 0.6047        | 1.1976 | 600  | 0.6041          |
| 0.5943        | 1.3972 | 700  | 0.6023          |
| 0.597         | 1.5968 | 800  | 0.5936          |
| 0.5927        | 1.7964 | 900  | 0.5884          |
| 0.5932        | 1.9960 | 1000 | 0.5882          |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3