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speecht5-finetuned-fleurs-it-it – AI Model by mmhamdy | AlphaNeural AI
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mmhamdy
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speecht5-finetuned-fleurs-it-it
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transformers
pytorch
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-it-it
This model is a fine-tuned version of
microsoft/speecht5_tts
on the FLEURS dataset. It achieves the following results on the evaluation set:
Loss: 0.3797
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: 200
training_steps: 1000
Training results
Training Loss
Epoch
Step
Validation Loss
0.5243
2.35
200
0.4537
0.4541
4.69
400
0.3979
0.4369
7.04
600
0.3874
0.4303
9.38
800
0.3830
0.4262
11.73
1000
0.3797
Framework versions
Transformers 4.32.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
