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speecht5_finetuned_voxpopuli_nl – AI Model by Akenar | AlphaNeural AI
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Akenar
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speecht5_finetuned_voxpopuli_nl
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
voxpopuli
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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speecht5_finetuned_voxpopuli_nl
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: 0.4589
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
0.5181
4.3034
1000
0.4791
0.4968
8.6068
2000
0.4652
0.4943
12.9102
3000
0.4602
0.4915
17.2136
4000
0.4589
Framework versions
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
