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speecht5_finetuned_voxpopuli_nl – AI Model by pedrottic | AlphaNeural AI
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pedrottic
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speecht5_finetuned_voxpopuli_nl
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transformers
tensorboard
safetensors
speecht5
text-to-audio
text-to-speech
audio
speech
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: 0.4519
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: 2e-05
train_batch_size: 8
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 15
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.5626
2.1462
500
0.5029
0.5141
4.2925
1000
0.4745
0.4969
6.4387
1500
0.4628
0.4927
8.5849
2000
0.4564
0.4791
10.7312
2500
0.4529
0.4814
12.8774
3000
0.4519
Framework versions
Transformers 4.54.0
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2