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---
language:
- pe
license: mit
base_model: microsoft/speecht5_tts
tags:
- mhs
- generated_from_trainer
datasets:
- persian_tts_data
model-index:
- name: SpeechT5 TTS persian
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 persian
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the persian_tts_data dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3811
## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 500
- training_steps: 4000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4521 | 5.05 | 1000 | 0.4051 |
| 0.4279 | 10.1 | 2000 | 0.3892 |
| 0.4198 | 15.15 | 3000 | 0.3826 |
| 0.4159 | 20.2 | 4000 | 0.3811 |
### Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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