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Avitas8485/speecht5_tts_commonvoice_en

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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SpeechT5 TTS English

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

  • Loss: 0.4261

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: 4000
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
0.454313.6110000.4225
0.452527.2120000.4203
0.435940.8230000.4228
0.432454.4240000.4261

Framework versions

  • Transformers 4.30.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3