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hafidikhsan/wav2vec2-large-xlsr-53-english-pronunciation-evaluation-dt-oversampling-augmented

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-oversampling-augmented

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: 0.8966
  • —Accuracy: 0.7608
  • —F1: 0.7592
  • —Precision: 0.7591
  • —Recall: 0.7608

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
1.00671.03131.08380.43680.38150.46220.4368
0.65382.06261.11890.5320.48870.53140.532
0.52853.09390.67050.71840.71500.71530.7184
0.3964.012520.79150.74160.73740.73970.7416
0.12965.015650.91710.75920.75650.75690.7592

Framework versions

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