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speecht5_finetuned_voxpopuli_en – AI Model by freakline | AlphaNeural AI
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freakline
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speecht5_finetuned_voxpopuli_en
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transformers
tensorboard
safetensors
speecht5
text-to-audio
generated_from_trainer
generator
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 generator dataset. It achieves the following results on the evaluation set:
Loss: 0.4643
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 125
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.5426
2.0619
250
0.4869
0.5132
4.1237
500
0.4707
0.512
6.1856
750
0.4665
0.5074
8.2474
1000
0.4643
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
