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speecht5_tts – AI Model by Wsassi | AlphaNeural AI
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Wsassi
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speecht5_tts
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
minds14
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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speecht5_tts
This model is a fine-tuned version of
microsoft/speecht5_tts
on the minds14 dataset. It achieves the following results on the evaluation set:
Loss: 0.6816
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
training_steps: 400
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.2874
6.4516
100
1.0267
1.0027
12.9032
200
0.7996
0.8851
19.3548
300
0.7091
0.8022
25.8065
400
0.6816
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
