---
library_name: transformers
license: mit
base_model: fahadqazi/Sindhi-TTS
tags:
- generated_from_trainer
model-index:
- name: Sindhi-TTS
  results: []
---

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# Sindhi-TTS

This model is a fine-tuned version of [fahadqazi/Sindhi-TTS](https://huggingface.co/fahadqazi/Sindhi-TTS) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5151
- eval_runtime: 21.1648
- eval_samples_per_second: 84.197
- eval_steps_per_second: 1.795
- epoch: 16.7331
- step: 4200

## 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: 0.0001
- train_batch_size: 64
- eval_batch_size: 48
- seed: 42
- 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: 5000
- mixed_precision_training: Native AMP

### Framework versions

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