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---
license: mit
tags:
- generated_from_trainer
datasets:
- voxpopuli
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 the voxpopuli dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4816
## 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: 250
- training_steps: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8188 | 0.85 | 50 | 0.7075 |
| 0.7124 | 1.71 | 100 | 0.6201 |
| 0.6763 | 2.56 | 150 | 0.5924 |
| 0.6367 | 3.42 | 200 | 0.5586 |
| 0.576 | 4.27 | 250 | 0.5216 |
| 0.5591 | 5.13 | 300 | 0.5097 |
| 0.5457 | 5.98 | 350 | 0.5027 |
| 0.5447 | 6.84 | 400 | 0.4999 |
| 0.5413 | 7.69 | 450 | 0.4933 |
| 0.5288 | 8.55 | 500 | 0.4913 |
| 0.5231 | 9.4 | 550 | 0.4881 |
| 0.5276 | 10.26 | 600 | 0.4874 |
| 0.52 | 11.11 | 650 | 0.4848 |
| 0.5238 | 11.97 | 700 | 0.4863 |
| 0.5163 | 12.82 | 750 | 0.4848 |
| 0.5191 | 13.68 | 800 | 0.4838 |
| 0.5163 | 14.53 | 850 | 0.4828 |
| 0.5126 | 15.38 | 900 | 0.4824 |
| 0.5155 | 16.24 | 950 | 0.4836 |
| 0.5193 | 17.09 | 1000 | 0.4816 |
### Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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