---
language:
- hu
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- facebook/voxpopuli
model-index:
- name: Facebook voxpopuli HU - Tamas Szilagyi
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Facebook voxpopuli HU - Tamas Szilagyi

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the Facebook voxpopuli Hungarian dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4834

## 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: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4969        | 42.33  | 1000 | 0.4739          |
| 0.4629        | 84.66  | 2000 | 0.4770          |
| 0.4527        | 126.98 | 3000 | 0.4806          |
| 0.4517        | 169.31 | 4000 | 0.4834          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.17.0
- Tokenizers 0.15.2