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Lightmourne/speecht5_finetuned_voxpopuli_nl

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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speecht5finetunedvoxpopuli_nl

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

  • —Loss: 0.4583

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: 500
  • —training_steps: 5000

Training results

Training LossEpochStepValidation Loss
0.52364.310000.4794
0.49968.6120000.4671
0.489612.9130000.4611
0.483117.2140000.4591
0.490221.5250000.4583

Framework versions

  • —Transformers 4.30.2
  • —Pytorch 2.0.1+cu117
  • —Datasets 2.13.1
  • —Tokenizers 0.13.3