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---
language:
- nl
license: mit
base_model: microsoft/speecht5_tts
tags:
- test
- generated_from_trainer
datasets:
- facebook/voxpopuli
model-index:
- name: SpeechT5 TTS 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 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:
- eval_loss: 0.4728
- eval_runtime: 4.3194
- eval_samples_per_second: 191.232
- eval_steps_per_second: 24.078
- epoch: 1273.5
- step: 149000
## 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: 64
- 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
- training_steps: 150000
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.38.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.16.1
- Tokenizers 0.15.1
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