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speecht5_finetuned_voxpopuli_cs – AI Model by kfahn | AlphaNeural AI
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kfahn
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speecht5_finetuned_voxpopuli_cs
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transformers
pytorch
tensorboard
speecht5
text-to-audio
generated_from_trainer
text-to-speech
cs
facebook/voxpopuli
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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speecht5_finetuned_voxpopuli_cs
This model is a fine-tuned version of
microsoft/speecht5_tts
on the Vox Populi Czech dataset. It achieves the following results on the evaluation set:
Loss: 0.4287
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
0.4847
6.57
1000
0.4456
0.46
13.14
2000
0.4345
0.4581
19.7
3000
0.4306
0.4597
26.27
4000
0.4287
Framework versions
Transformers 4.31.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
