SpeechT5 TTS Czech
This model is a fine-tuned version of fav-kky/SpeechT5-base-cs-tts on the ParlaspeechCZ dataset.
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: 10000
- training_steps: 10000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.53.2
- Pytorch 2.7.1
- Datasets 3.4.1
- Tokenizers 0.21.4
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Model tree for kubicra/speecht5_tts_cs
Base model
fav-kky/SpeechT5-base-cs-tts