---
language:
- sl
base_model: SpeechT5ForTextToSpeech
tags:
- generated_from_trainer
datasets:
- facebook/voxpopuli
model-index:
- name: TTS Model Slovene - Yang
  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. -->

# TTS Model Slovene - Yang

This model is a fine-tuned version of [SpeechT5ForTextToSpeech](https://huggingface.co/SpeechT5ForTextToSpeech) on the VoxPopuli Slovene dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5173

## 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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- 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: 2000

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.463         | 63.49  | 1000 | 0.5187          |
| 0.4513        | 126.98 | 2000 | 0.5173          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1