---
license: mit
tags:
- generated_from_trainer
datasets:
- common_voice_13_0
pipeline_tag: text-to-speech
base_model: microsoft/speecht5_tts
model-index:
- name: speecht5_finetuned_mozilla_foundation_common_voice_13_german
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# speecht5_finetuned_mozilla_foundation_common_voice_13_german

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_13_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4527

## 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: 5e-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: 100
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.5165        | 1.0   | 2193  | 0.4883          |
| 0.5125        | 2.0   | 4387  | 0.4789          |
| 0.4985        | 3.0   | 6580  | 0.4727          |
| 0.4963        | 4.0   | 8774  | 0.4701          |
| 0.4901        | 5.0   | 10967 | 0.4656          |
| 0.4814        | 6.0   | 13161 | 0.4611          |
| 0.4822        | 7.0   | 15354 | 0.4588          |
| 0.48          | 8.0   | 17548 | 0.4607          |
| 0.4676        | 9.0   | 19741 | 0.4564          |
| 0.4665        | 10.0  | 21935 | 0.4558          |
| 0.4652        | 11.0  | 24128 | 0.4549          |
| 0.4615        | 12.0  | 26322 | 0.4536          |
| 0.4716        | 13.0  | 28515 | 0.4541          |
| 0.462         | 14.0  | 30709 | 0.4526          |
| 0.4666        | 15.0  | 32902 | 0.4521          |
| 0.4591        | 16.0  | 35096 | 0.4532          |
| 0.4608        | 17.0  | 37289 | 0.4522          |
| 0.4605        | 18.0  | 39483 | 0.4513          |
| 0.4588        | 19.0  | 41676 | 0.4530          |
| 0.4561        | 20.0  | 43860 | 0.4527          |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3