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hafidikhsan/wav2vec2-large-xlsr-53-english-pronunciation-evaluation-lr-v3

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-lr-v3

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: 1.0729
  • —Accuracy: 0.774
  • —F1: 0.7738
  • —Precision: 0.7764
  • —Recall: 0.774

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
0.81441.05000.82350.5980.55500.58560.598
0.82642.010000.69510.6820.67160.68050.682
0.52193.015000.75800.7420.73840.73950.742
0.23544.020001.02380.750.74430.74530.75
0.12915.025001.09220.7620.75980.76040.762

Framework versions

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