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checkpoints_and_output – AI Model by kubicra | AlphaNeural AI
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checkpoints_and_output
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transformers
safetensors
speecht5
text-to-audio
tts
czech
parlaspeechcz
generated_from_trainer
cz
ParlaspeechCZ
fav-kky/SpeechT5-base-cs-tts
finetune
cc-by-nc-sa-4.0
endpoints_compatible
us
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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: 64
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
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: 50
training_steps: 100
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.50.3
Pytorch 2.5.0+cu124
Datasets 3.2.0
Tokenizers 0.21.4
