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hafidikhsan/wav2vec2-large-xlsr-53-english-pronunciation-evaluation-dt-real

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-dt-real

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: 1.2577
  • —Accuracy: 0.6578
  • —F1: 0.6488
  • —Precision: 0.6432
  • —Recall: 0.6578

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
0.92241.03100.83800.61420.55890.60700.6142
0.61682.06200.79550.66510.63130.63690.6651
0.46873.09301.05920.61500.60410.64340.6150
0.44954.012401.19800.67070.65920.65470.6707
0.1825.015501.41500.66830.65960.65660.6683

Framework versions

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