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hafidikhsan/wav2vec2-large-xlsr-53-english-pronunciation-evaluation-aod-oversampling

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-aod-oversampling

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: 1.1381
  • —Accuracy: 0.7536
  • —F1: 0.7512
  • —Precision: 0.7510
  • —Recall: 0.7536

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
0.85591.03130.89260.59480.56970.57820.5948
0.66472.06260.81320.65280.64350.64780.6528
0.55623.09390.79910.720.71970.72090.72
0.21664.012520.98080.75280.75150.75140.7528
0.02695.015651.13810.75360.75120.75100.7536

Framework versions

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