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aryamanstha/speecht5_tts_nepali_oslr43_tokenizermodified_swos

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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speecht5ttsnepalioslr43tokenizermodified_swos

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: 0.5046

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —training_steps: 5000
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
0.5649.5710000.5187
0.538519.1420000.5063
0.521328.7130000.5034
0.517138.2840000.5048
0.498947.8550000.5046

Framework versions

  • —Transformers 4.40.0.dev0
  • —Pytorch 2.2.1+cu121
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2