transformers tensorboard safetensors speecht5 text-to-audio generated_from_trainer text-to-speech nl dataset:facebook/voxpopuli base_model:microsoft/speecht5_tts license:mit endpoints_compatible region:us
---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- facebook/voxpopuli
model-index:
- name: speecht5_finetuned_voxpopuli_nl
  results: []
language:
- nl
library_name: transformers
pipeline_tag: text-to-speech
---

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# speecht5_finetuned_voxpopuli_nl

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the facebook/voxpopuli dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4820

## 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: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7445        | 0.43  | 100  | 0.6548          |
| 0.669         | 0.86  | 200  | 0.5961          |
| 0.6065        | 1.29  | 300  | 0.5348          |
| 0.5685        | 1.72  | 400  | 0.5127          |
| 0.5548        | 2.15  | 500  | 0.5006          |
| 0.5443        | 2.58  | 600  | 0.4941          |
| 0.541         | 3.01  | 700  | 0.4885          |
| 0.5297        | 3.44  | 800  | 0.4859          |
| 0.5322        | 3.87  | 900  | 0.4847          |
| 0.5297        | 4.3   | 1000 | 0.4820          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.15.2