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speecht5_finetuned_voxpopuli_nl – AI Model by ejazhabibdar | AlphaNeural AI
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ejazhabibdar
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speecht5_finetuned_voxpopuli_nl
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transformers
pytorch
tensorboard
speecht5
text-to-audio
generated_from_trainer
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 None dataset. It achieves the following results on the evaluation set:
Loss: 0.4881
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: 500
training_steps: 4000
Training results
Training Loss
Epoch
Step
Validation Loss
0.5694
3.73
1000
0.5130
0.5397
7.45
2000
0.4972
0.5231
11.18
3000
0.4907
0.5196
14.9
4000
0.4881
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
