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speecht5_finetuned_voxpopuli_it – AI Model by juliuserictuliao | AlphaNeural AI
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speecht5_finetuned_voxpopuli_it
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
text-to-speech
voxpopuli/it
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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speecht5_finetuned_voxpopuli_it
This model is a fine-tuned version of
microsoft/speecht5_tts
on the voxpopuli/it dataset. It achieves the following results on the evaluation set:
Loss: 0.4883
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: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.5438
6.1303
1000
0.5101
0.5285
12.2605
2000
0.4949
0.5202
18.3908
3000
0.4904
0.512
24.5211
4000
0.4883
Framework versions
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.19.1
