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mih12345/wav2vec2-base-finetuned-flight-control-SpeechCommands

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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wav2vec2-base-finetuned-flight-control-SpeechCommands

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.2739
  • —Accuracy: 0.9451

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: 3e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 32
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracy
2.98051.0462.95810.1319
2.71362.0922.62840.6154
2.37383.01382.20780.7527
2.04544.01841.89940.8462
1.73835.02301.67620.8901
1.67856.02761.51850.9231
1.64297.03221.43060.9176
1.4348.03681.33700.9231
1.40149.04141.27390.9451
1.369.79124501.27360.9286

Framework versions

  • —Transformers 4.49.0
  • —Pytorch 2.6.0+cu124
  • —Datasets 3.4.1
  • —Tokenizers 0.21.1