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speecht5_tts-finetuned-voxpopuli-en – AI Model by VinayHajare | AlphaNeural AI
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VinayHajare
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speecht5_tts-finetuned-voxpopuli-en
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transformers
pytorch
tensorboard
safetensors
speecht5
text-to-audio
text-to-speech
endpoints_compatible
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speecht5_tts-finetuned-voxpopuli-en
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: 0.4689
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: 100
training_steps: 2000
Training results
Training Loss
Epoch
Step
Validation Loss
0.5015
2.8
500
0.4735
0.4955
5.6
1000
0.4709
0.4954
8.4
1500
0.4694
0.4893
11.2
2000
0.4689
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3
