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Jungwoo4021/wav2vec2-base-ks-linear_lrX100

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

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wav2vec2-base-ks-linear_lrX100

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: 0.6970
  • —Accuracy: 0.8001

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
1.17891.0501.36210.6225
0.6362.01000.91760.6912
0.55753.01500.85430.7376
0.52894.02000.69700.8001
0.49265.02500.82320.7548
0.48316.03000.74420.7755
0.45397.03500.74840.7785
0.48168.04000.70380.7982
0.46669.04500.72770.7764
0.441710.05000.72890.7870

Framework versions

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