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olawale-ahmed/pidgin_speecht5_tts_nigerian-pidgin-1.0

sourceHugging Facemitupdated 5mo agoView on Hugging Face
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Model Card

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SpeechT5 TTS Pidgin

This model is a fine-tuned version of microsoft/speecht5_tts on the asr-nigerian-pidgin/nigerian-pidgin-1.0 dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4525

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
1.004413.333310000.4587
0.954426.666720000.4492
0.928440.030000.4509
0.933653.333340000.4527
0.900666.666750000.4525

Framework versions

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