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tdnathmlenthusiast/speecht5_finetuned_German_dataset

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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speecht5finetunedGerman_dataset

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: 0.4241

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: 4
  • —evalbatchsize: 2
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 32
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 125
  • —training_steps: 5000
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
0.50048.45675000.4634
0.47516.913310000.4414
0.458125.370015000.4318
0.443933.826620000.4268
0.444642.283325000.4266
0.437750.740030000.4288
0.434359.196635000.4296
0.437267.653340000.4282
0.440576.109945000.4282
0.421884.566650000.4241

Framework versions

  • —Transformers 4.44.2
  • —Pytorch 2.5.0+cu121
  • —Datasets 3.0.2
  • —Tokenizers 0.19.1