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speecht5_tts_common_voice_tr – AI Model by deryauysal | AlphaNeural AI
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speecht5_tts_common_voice_tr
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transformers
pytorch
speecht5
text-to-audio
text-to-speech
turkish
speech-generation
generated_from_trainer
tr
common_voice
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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SpeechT5 TTS Turkish
This model is a fine-tuned version of
microsoft/speecht5_tts
on the CommonVoice dataset. It achieves the following results on the evaluation set:
Loss: 0.4685
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
Training results
Training Loss
Epoch
Step
Validation Loss
0.4698
111.11
1000
0.4679
0.4328
222.22
2000
0.4647
0.4163
333.33
3000
0.4660
0.4327
444.44
4000
0.4685
Framework versions
Transformers 4.33.0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3
