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Jungwoo4021/wav2vec2-base-ks-padpt3200

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

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wav2vec2-base-ks-padpt3200

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: 1.2818
  • —Accuracy: 0.6200

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
1.38021.0501.50350.6121
1.01532.01001.28180.6200
0.91053.01501.38270.5380
0.85354.02001.35130.5587
0.79825.02501.47490.5068
0.77546.03001.51090.5025
0.7497.03501.61980.4476
0.74978.04001.54800.4850
0.73869.04501.60520.4665
0.718510.05001.60850.4734

Framework versions

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