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speecht5_tts_voxpopuli_nl – AI Model by kuba-cherryb | AlphaNeural AI
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kuba-cherryb
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speecht5_tts_voxpopuli_nl
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
pl
facebook/voxpopuli
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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SpeechT5 TTS Polish
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: 0.4381
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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.0093
5.0251
1000
0.4577
0.967
10.0503
2000
0.4451
0.955
15.0754
3000
0.4403
0.9627
20.1005
4000
0.4381
Framework versions
Transformers 4.48.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
