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speecht5_finetuned_voxpopuli_et – AI Model by theoldmandthesea | AlphaNeural AI
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theoldmandthesea
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speecht5_finetuned_voxpopuli_et
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transformers
pytorch
tensorboard
speecht5
text-to-audio
generated_from_trainer
text-to-speech
voxpopuli
mit
endpoints_compatible
us
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speecht5_finetuned_voxpopuli_et
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: 0.4818
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: 20
training_steps: 300
Training results
Training Loss
Epoch
Step
Validation Loss
0.6529
5.26
50
0.5621
0.6028
10.53
100
0.5290
0.5524
15.79
150
0.4993
0.5339
21.05
200
0.4866
0.5212
26.32
250
0.4827
0.5239
31.58
300
0.4818
Framework versions
Transformers 4.30.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
