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speecht5_finetuned_voxpopuli_nl – AI Model by rudyong | AlphaNeural AI
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rudyong
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speecht5_finetuned_voxpopuli_nl
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transformers
pytorch
speecht5
text-to-audio
text-to-speech
generated_from_trainer
nl
facebook/voxpopuli
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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Bolakubus/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: 0.4506
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: 3e-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_ratio: 0.1
lr_scheduler_warmup_steps: 500
training_steps: 3000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.4998
4.3
1000
0.4638
0.4741
8.61
2000
0.4529
0.4747
12.91
3000
0.4506
Framework versions
Transformers 4.35.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
