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andre-coy/speecht5_tts_tandt_6000

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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SpeechT5Trinifemale_6000

This model is a fine-tuned version of microsoft/speecht5_tts on the TandT dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3725

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
  • trainbatchsize: 16
  • evalbatchsize: 8
  • seed: 42
  • gradientaccumulationsteps: 2
  • totaltrainbatch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 500
  • training_steps: 6000

Training results

Training LossEpochStepValidation Loss
0.43574.7810000.3908
0.41969.5720000.3805
0.402914.3530000.3749
0.404119.1440000.3745
0.391623.9250000.3727
0.396628.7160000.3725

Framework versions

  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.13.1
  • Tokenizers 0.13.3