---
language:
- de
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- facebook/voxpopuli
model-index:
- name: SpeechT5 finetuned with german VoxPopuli subset (13961) - JFuellem
  results: []
pipeline_tag: text-to-speech
---

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# SpeechT5 finetuned with german VoxPopuli subset (13961) - JFuellem

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the Facebook VoxPopuli DE dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4670

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5294        | 2.55  | 1000 | 0.4873          |
| 0.5078        | 5.09  | 2000 | 0.4737          |
| 0.5061        | 7.64  | 3000 | 0.4685          |
| 0.5085        | 10.19 | 4000 | 0.4670          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3