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Jungwoo4021/wav2vec2-base-ks-padpt1600

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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wav2vec2-base-ks-padpt1600

This model is a fine-tuned version of facebook/wav2vec2-base on the superb dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.6019
  • —Accuracy: 0.6111

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: 0.003
  • —trainbatchsize: 256
  • —evalbatchsize: 256
  • —seed: 0
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 1024
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 10.0
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
1.34991.0501.60190.6111
0.96982.01001.43490.5613
0.8663.01501.42320.5547
0.81624.02001.55730.4675
0.76325.02501.49910.4950
0.74616.03001.42510.5321
0.73747.03501.62910.4247
0.72378.04001.53070.4797
0.72739.04501.56350.4520
0.700710.05001.58410.4497

Framework versions

  • —Transformers 4.22.0.dev0
  • —Pytorch 1.11.0+cu115
  • —Datasets 2.4.0
  • —Tokenizers 0.12.1