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titmambyves6/speecht5_finetuned_voxpopuli_es

sourceHugging Facemitupdated 8mo agoView on Hugging Face
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Model Card

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SpeechT5 Finetuned VoxPopuli Spanish

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

  • —Loss: 0.4376

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: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —gradientaccumulationsteps: 16
  • —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: 4000
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
8.52721.35215000.4793
7.96542.704210000.4562
7.60004.054215000.4480
7.69375.406320000.4424
7.66896.758425000.4405
7.57108.108330000.4385
7.58969.460535000.4379
7.556710.812640000.4376

Framework versions

  • —Transformers 5.0.1.dev0
  • —Pytorch 2.9.0+cu126
  • —Datasets 2.18.0
  • —Tokenizers 0.22.2