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# speecht5_tts_common_voice_nl

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_16_1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3938

## 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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7187        | 1.0   | 441  | 0.4533          |
| 0.4947        | 2.0   | 882  | 0.4243          |
| 0.4648        | 3.0   | 1323 | 0.4131          |
| 0.4468        | 4.0   | 1764 | 0.4062          |
| 0.4384        | 5.0   | 2205 | 0.4016          |
| 0.4362        | 6.0   | 2646 | 0.3982          |
| 0.4309        | 7.0   | 3087 | 0.3964          |
| 0.4317        | 8.0   | 3528 | 0.3959          |
| 0.427         | 9.0   | 3969 | 0.3939          |
| 0.424         | 10.0  | 4410 | 0.3938          |


### Framework versions

- Transformers 4.37.2
- Pytorch 1.12.1+cu116
- Datasets 2.4.0
- Tokenizers 0.15.2
{"language": ["nl"], "license": "mit", "tags": ["generated_from_trainer"], "datasets": ["common_voice_16_1"], "base_model": "microsoft/speecht5_tts", "pipeline_tag": "text-to-speech", "model-index": [{"name": "speecht5_tts_common_voice_nl", "results": []}]}
transformers safetensors speecht5 text-to-audio generated_from_trainer text-to-speech nl dataset:common_voice_16_1 base_model:microsoft/speecht5_tts license:mit endpoints_compatible has_space region:us