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speecht5_finetuned_minds14_au – AI Model by calvpang | AlphaNeural AI
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calvpang
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speecht5_finetuned_minds14_au
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transformers
pytorch
speecht5
text-to-audio
text-to-speech
generated_from_trainer
PolyAI/minds14
microsoft/speecht5_tts
finetune
mit
endpoints_compatible
us
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speecht5_finetuned_minds14_au
This model is a fine-tuned version of
microsoft/speecht5_tts
on the minds14 dataset. It achieves the following results on the evaluation set:
Loss: 0.4857
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: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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
0.6002
27.4
1000
0.5621
0.5339
54.79
2000
0.4994
0.4963
82.19
3000
0.4812
0.4908
109.59
4000
0.4857
Framework versions
Transformers 4.32.0.dev0
Pytorch 2.0.1
Datasets 2.14.4
Tokenizers 0.13.3
