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olawale-ahmed/pidgin_speecht5_tts_anonxx_pidgin_dataset

sourceHugging Facemitupdated 5mo agoView on Hugging Face
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Model Card

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SpeechT5 TTS AnonXx Pidgin

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

  • —Loss: 0.4272

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: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —training_steps: 5000
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
0.95266.060610000.4385
0.909412.121220000.4283
0.893318.181830000.4271
0.899524.242440000.4269
0.871230.303050000.4272

Framework versions

  • —Transformers 5.0.0
  • —Pytorch 2.10.0+cu128
  • —Datasets 4.0.0
  • —Tokenizers 0.22.2