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wav2vec2-base-timit-demo-colab

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: 0.4180
  • Wer: 0.3392

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
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 30
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
3.656 4.0 500 1.8973 1.0130
0.8647 8.0 1000 0.4667 0.4705
0.2968 12.0 1500 0.4211 0.4035
0.1719 16.0 2000 0.4725 0.3739
0.1272 20.0 2500 0.4586 0.3543
0.1079 24.0 3000 0.4356 0.3484
0.0808 28.0 3500 0.4180 0.3392

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.9.0+cu111
  • Datasets 1.13.3
  • Tokenizers 0.10.3
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