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Solo448/SpeechT5-fine-tune-en

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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SpeechT5-fine-tune-en

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

  • —Loss: 0.4473

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: 0.0001
  • —trainbatchsize: 4
  • —evalbatchsize: 2
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 32
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 100
  • —training_steps: 1000
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
4.66940.35831000.5087
4.37950.71652000.4933
4.17251.07483000.4727
4.0611.43304000.4695
3.98961.79135000.4633
3.9412.14966000.4580
3.89442.50787000.4538
3.89682.86618000.4522
3.793.22449000.4499
3.80593.582610000.4473

Framework versions

  • —Transformers 4.46.0.dev0
  • —Pytorch 2.4.1+cu121
  • —Datasets 3.0.2
  • —Tokenizers 0.20.1