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hafidikhsan/wav2vec2-large-xlsr-53-english-pronunciation-evaluation-dp-70-15-15

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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wav2vec2-large-xlsr-53-english-pronunciation-evaluation-dp-70-15-15

This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-english on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.0328
  • —Accuracy: 0.7827
  • —F1: 0.7812
  • —Precision: 0.7819
  • —Recall: 0.7827

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: 0.0001
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossAccuracyF1PrecisionRecall
0.79451.04380.87090.55730.52390.58590.5573
0.80112.08760.75360.65330.63400.65340.6533
0.65283.013140.69180.7320.72950.73130.732
0.35744.017520.86700.75730.75400.75520.7573
0.09995.021901.02170.76270.75850.76190.7627

Framework versions

  • —Transformers 4.30.2
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.13.1
  • —Tokenizers 0.13.3