---
language:
- sk
license: mit
base_model: microsoft/speecht5_tts
tags:
- tts
- generated_from_trainer
datasets:
- NabuCasa/voice-datasets
model-index:
- name: SpeechT5 TTS SK
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# SpeechT5 TTS SK

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the NabuCasa dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6136

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.7659        | 30.77  | 1000 | 0.6932          |
| 0.6957        | 61.54  | 2000 | 0.6436          |
| 0.6752        | 92.31  | 3000 | 0.6245          |
| 0.6466        | 123.08 | 4000 | 0.6136          |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0