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speecht5_tts_common_voice_6_sv – AI Model by CEHB | AlphaNeural AI
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CEHB
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speecht5_tts_common_voice_6_sv
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transformers
pytorch
tensorboard
speecht5
text-to-audio
common_voice
generated_from_trainer
sv
mozilla-foundation/common_voice_13_0
mit
endpoints_compatible
us
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SpeechT5 TTS Swedish
This model is a fine-tuned version of
microsoft/speecht5_tts
on the Common Voice dataset. It achieves the following results on the evaluation set:
Loss: 0.4600
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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
0.5448
4.48
1000
0.4949
0.5233
8.97
2000
0.4699
0.4976
13.45
3000
0.4652
0.4943
17.94
4000
0.4600
Framework versions
Transformers 4.30.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.13.3
