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speecht5_finetuned_voxpopuli_nl_custom6 – AI Model by andymcgullen | AlphaNeural AI
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andymcgullen
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speecht5_finetuned_voxpopuli_nl_custom6
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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speecht5_finetuned_voxpopuli_nl_custom6
This model is a fine-tuned version of
microsoft/speecht5_tts
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3930
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.4431
8.9391
500
0.4064
0.4298
17.8668
1000
0.3965
0.4223
26.7946
1500
0.3936
0.4188
35.7223
2000
0.3930
Framework versions
Transformers 4.57.3
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.22.1
