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speecht5_finetuned_fleurs_en_us – AI Model by taohoang | AlphaNeural AI
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speecht5_finetuned_fleurs_en_us
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transformers
pytorch
tensorboard
speecht5
text-to-audio
generated_from_trainer
text-to-speech
google/fleurs
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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speecht5_finetuned_fleurs_en_us
This model is a fine-tuned version of
microsoft/speecht5_tts
on the google/fleurs dataset. It achieves the following results on the evaluation set:
Loss: 0.4831
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: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
training_steps: 54
Training results
Training Loss
Epoch
Step
Validation Loss
0.719
0.33
9
0.5634
0.5994
0.67
18
0.5290
0.584
1.0
27
0.4924
0.5589
1.33
36
0.4828
0.5747
1.67
45
0.4848
0.5904
2.0
54
0.4831
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3
