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speecht5_finetuned_voxpopuli_nl – AI Model by BugHunter1 | AlphaNeural AI
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speecht5_finetuned_voxpopuli_nl
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transformers
pytorch
speecht5
text-to-audio
generated_from_trainer
text-to-speech
facebook/voxpopuli
endpoints_compatible
us
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speecht5_finetuned_facebook_voxpopuli_et
This model is a fine-tuned version of
SpeechT5
on the voxpopuli dataset. It achieves the following results on the evaluation set:
Loss: 0.4303
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: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
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
0.4557
177.78
1000
0.4377
0.4317
355.56
2000
0.4329
0.4244
533.33
3000
0.4303
0.4223
711.11
4000
0.4303
Framework versions
Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
