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VladislovePT/speecht5_finetuned_vladislove_ua

sourceHugging Facemitupdated 1y agoView on Hugging Face
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Model Card

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speecht5finetunedvladislove_ua

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

  • —Loss: 0.4195

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: 8
  • —evalbatchsize: 2
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —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: 500
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
0.52390.15121000.4708
0.48350.30252000.4468
0.47310.45373000.4315
0.46450.60494000.4254
0.4560.75615000.4195

Framework versions

  • —Transformers 4.48.0
  • —Pytorch 2.8.0+cu128
  • —Datasets 4.0.0
  • —Tokenizers 0.21.4