Hugging Face's logo

uniquaAman
/
speecht5_tts_voxpopuli_nl

Text-to-Audio
Transformers
TensorBoard
Safetensors
Dutch
speecht5
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
speecht5_tts_voxpopuli_nl / README.md
uniquaAman's picture
uniquaAman
End of training
a2d11d1 verified
preview code
|
raw
history blame contribute delete
1.73 kB
metadata
library_name: transformers
language:
  - nl
license: mit
base_model: microsoft/speecht5_tts
tags:
  - generated_from_trainer
datasets:
  - facebook/voxpopuli
model-index:
  - name: SpeechT5 TTS Dutch
    results: []

SpeechT5 TTS Dutch

This model is a fine-tuned version of microsoft/speecht5_tts on the VoxPopuli dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4563

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: 5e-05
  • train_batch_size: 32
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Use 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: 250
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.5393 0.8584 200 0.4905
0.5405 1.7167 400 0.4835
0.5163 2.5751 600 0.4660
0.4946 3.4335 800 0.4597
0.4984 4.2918 1000 0.4563

Framework versions

  • Transformers 4.47.0.dev0
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3