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speecht5_finetuned_voxpopuli_nl – AI Model by UnaiGurbindo | AlphaNeural AI
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UnaiGurbindo
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speecht5_finetuned_voxpopuli_nl
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
nl
facebook/voxpopuli
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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speec T5 NL
This model is a fine-tuned version of
microsoft/speecht5_tts
on the Vox Populi NL dataset. It achieves the following results on the evaluation set:
Loss: 0.4922
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: 8
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
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: 200
training_steps: 700
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.5997
0.86
200
0.5324
0.548
1.72
400
0.4993
0.5422
2.58
600
0.4922
Framework versions
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
