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text_to_speech_two – AI Model by dammyogt | AlphaNeural AI
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dammyogt
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text_to_speech_two
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transformers
pytorch
speecht5
text-to-audio
hausa
generated_from_trainer
ha
mozilla-foundation/common_voice_8_0
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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SpeechT5 TTS Hausa
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: 0.4720
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
0.5538
18.18
1000
0.4983
0.5153
36.36
2000
0.4791
0.4983
54.55
3000
0.4696
0.4974
72.73
4000
0.4720
Framework versions
Transformers 4.33.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
