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ft-speech-t5-on-voxpopuli – AI Model by AhmedTambal | AlphaNeural AI
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AhmedTambal
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ft-speech-t5-on-voxpopuli
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safetensors
speecht5
generated_from_trainer
voxpopuli
microsoft/speecht5_tts
finetune
mit
us
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ft-speech-t5-on-voxpopuli
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: 0.5968
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: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
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: 50
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.7347
0.22
50
0.6263
0.6733
0.43
100
0.5971
Framework versions
Transformers 4.35.2
Pytorch 2.0.0
Datasets 2.15.0
Tokenizers 0.15.0
