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wav2vec2-base-timit-demo-colab12

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: 0.4831
  • Wer: 0.3546

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: 16
  • 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: 420
  • num_epochs: 30
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
4.1683 3.52 500 1.3684 0.7364
0.7614 7.04 1000 0.6008 0.5218
0.4721 10.56 1500 0.5319 0.4614
0.3376 14.08 2000 0.5234 0.4308
0.2508 17.61 2500 0.5109 0.3998
0.1978 21.13 3000 0.5037 0.3721
0.1645 24.65 3500 0.4918 0.3622
0.1449 28.17 4000 0.4831 0.3546

Framework versions

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