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Jungwoo4021/wav2vec2-base-ks-padpt200

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

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wav2vec2-base-ks-padpt200

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: 1.6540
  • —Accuracy: 0.6037

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
1.27281.0501.65400.6037
0.84982.01001.25590.6015
0.75633.01501.41920.5035
0.7014.02001.33180.5641
0.65925.02501.32360.5666
0.64046.03001.36530.5469
0.63157.03501.40520.5082
0.63068.04001.28180.5590
0.62979.04501.30960.5659
0.605610.05001.35950.5368

Framework versions

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