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wav2vec2-base-timit-demo-colab90

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: 0.6766
  • Wer: 0.4479

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
5.0217 7.04 500 3.2571 1.0
1.271 14.08 1000 0.6501 0.5874
0.4143 21.13 1500 0.5943 0.5360
0.2446 28.17 2000 0.6285 0.5028
0.1653 35.21 2500 0.6553 0.4992
0.1295 42.25 3000 0.6735 0.4705
0.1033 49.3 3500 0.6792 0.4539
0.0886 56.34 4000 0.6766 0.4479

Framework versions

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