---
library_name: transformers
license: mit
base_model: MBZUAI/speecht5_tts_clartts_ar
tags:
- generated_from_trainer
datasets:
- fleurs
model-index:
- name: speecht5_sindhi
  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_sindhi

This model is a fine-tuned version of [MBZUAI/speecht5_tts_clartts_ar](https://huggingface.co/MBZUAI/speecht5_tts_clartts_ar) on the fleurs dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4007

## 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: 8
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 0.4691        | 2.5974  | 100  | 0.4582          |
| 0.4505        | 5.1948  | 200  | 0.4339          |
| 0.4399        | 7.7922  | 300  | 0.4288          |
| 0.4277        | 10.3896 | 400  | 0.4193          |
| 0.4188        | 12.9870 | 500  | 0.4128          |
| 0.4111        | 15.5844 | 600  | 0.4041          |
| 0.4085        | 18.1818 | 700  | 0.4025          |
| 0.4033        | 20.7792 | 800  | 0.4005          |
| 0.3992        | 23.3766 | 900  | 0.4000          |
| 0.399         | 25.9740 | 1000 | 0.4007          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1