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speecht5_finetuned_voxpopuli_nl – AI Model by SverreNystad | AlphaNeural AI
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speecht5_finetuned_voxpopuli_nl
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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: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.518
4.2926
1000
0.4796
0.5002
8.5853
2000
0.4657
0.4929
12.8779
3000
0.4604
0.4922
17.1678
4000
0.4589
Framework versions
Transformers 4.57.0
Pytorch 2.8.0+cu126
Datasets 3.6.0
Tokenizers 0.22.1
