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susnato/speecht5_finetuned_voxpopuli_en

sourceHugging Facemitupdated 3y agoView on Hugging Face
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speecht5finetunedvoxpopuli_en

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

  • —Loss: 0.4466

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: 5e-06
  • —trainbatchsize: 8
  • —evalbatchsize: 2
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 32
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 1500
  • —training_steps: 12000

Training results

Training LossEpochStepValidation Loss
0.52711.5810000.4843
0.50253.1520000.4648
0.49474.7330000.4575
0.48576.340000.4543
0.4877.8850000.4519
0.48049.4660000.4494
0.479811.0370000.4487
0.481312.6180000.4478
0.483114.1890000.4476
0.475115.76100000.4468
0.479517.34110000.4463
0.47418.91120000.4466

Framework versions

  • —Transformers 4.32.0.dev0
  • —Pytorch 1.13.1
  • —Datasets 2.13.1
  • —Tokenizers 0.13.2