---
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_tts_voxpopuli_nl
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# speecht5_tts_voxpopuli_nl

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co./microsoft/speecht5_tts) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4761

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6506        | 1.0   | 239  | 0.5907          |
| 0.5796        | 2.0   | 478  | 0.5158          |
| 0.5326        | 3.0   | 717  | 0.5087          |
| 0.5343        | 4.0   | 956  | 0.5023          |
| 0.5319        | 5.0   | 1195 | 0.4958          |
| 0.5193        | 6.0   | 1434 | 0.4878          |
| 0.5253        | 7.0   | 1673 | 0.4854          |
| 0.4992        | 8.0   | 1912 | 0.4851          |
| 0.4983        | 9.0   | 2151 | 0.4807          |
| 0.5039        | 10.0  | 2390 | 0.4781          |
| 0.5153        | 11.0  | 2629 | 0.4777          |
| 0.4882        | 12.0  | 2868 | 0.4773          |
| 0.4917        | 13.0  | 3107 | 0.4819          |
| 0.4942        | 14.0  | 3346 | 0.4758          |
| 0.4817        | 15.0  | 3585 | 0.4771          |
| 0.4832        | 16.0  | 3824 | 0.4763          |
| 0.4721        | 17.0  | 4063 | 0.4776          |
| 0.4975        | 18.0  | 4302 | 0.4789          |
| 0.493         | 19.0  | 4541 | 0.4770          |
| 0.4955        | 20.0  | 4780 | 0.4761          |


### Framework versions

- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0