---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
- text-to-speech
datasets:
- voxpopuli
model-index:
- name: speecht5-ft-voxpopuli-de
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# speecht5-ft-voxpopuli-de

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the voxpopuli dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4765

## 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: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7031        | 0.26  | 100  | 0.6229          |
| 0.6411        | 0.52  | 200  | 0.5748          |
| 0.5811        | 0.77  | 300  | 0.5216          |
| 0.5542        | 1.03  | 400  | 0.5015          |
| 0.5404        | 1.29  | 500  | 0.4908          |
| 0.533         | 1.55  | 600  | 0.4846          |
| 0.5243        | 1.8   | 700  | 0.4821          |
| 0.5231        | 2.06  | 800  | 0.4790          |
| 0.5202        | 2.32  | 900  | 0.4774          |
| 0.518         | 2.58  | 1000 | 0.4765          |


### Framework versions

- Transformers 4.39.2
- Pytorch 2.3.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1