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wav2vec2-base-timit-demo-colab57

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: 0.7328
  • Wer: 0.4593

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: 8
  • 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: 60
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
4.9876 7.04 500 3.1483 1.0
1.4621 14.08 1000 0.6960 0.6037
0.4404 21.13 1500 0.6392 0.5630
0.2499 28.17 2000 0.6738 0.5281
0.1732 35.21 2500 0.6789 0.4952
0.1347 42.25 3000 0.7328 0.4835
0.1044 49.3 3500 0.7258 0.4840
0.0896 56.34 4000 0.7328 0.4593

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.11.0+cu113
  • Datasets 1.18.3
  • Tokenizers 0.10.3
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