---
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_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_finetuned_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: 0.3776

## 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: 125
- training_steps: 3000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.4834        | 2.3529  | 250  | 0.4367          |
| 0.4405        | 4.7059  | 500  | 0.4013          |
| 0.4323        | 7.0588  | 750  | 0.3927          |
| 0.4244        | 9.4118  | 1000 | 0.3877          |
| 0.4186        | 11.7647 | 1250 | 0.3844          |
| 0.4176        | 14.1176 | 1500 | 0.3831          |
| 0.4137        | 16.4706 | 1750 | 0.3807          |
| 0.4098        | 18.8235 | 2000 | 0.3804          |
| 0.413         | 21.1765 | 2250 | 0.3768          |
| 0.4094        | 23.5294 | 2500 | 0.3781          |
| 0.409         | 25.8824 | 2750 | 0.3789          |
| 0.4028        | 28.2353 | 3000 | 0.3776          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1