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speecht5-finetuned-voxpopuli-sl – AI Model by NicolasDenier | AlphaNeural AI
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NicolasDenier
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speecht5-finetuned-voxpopuli-sl
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transformers
pytorch
tensorboard
speecht5
text-to-audio
generated_from_trainer
text-to-speech
sl
facebook/voxpopuli
microsoft/speecht5_tts
finetune
mit
model-index
endpoints_compatible
us
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speecht5-finetuned-voxpopuli-sl
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: 0.4546
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
0.4942
21.68
1000
0.4567
0.4698
43.36
2000
0.4544
0.4615
65.04
3000
0.4541
0.462
86.72
4000
0.4546
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.0
Tokenizers 0.13.3
