wav2vec2-base-librispeech-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: 0.2489
  • Wer: 0.1673

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
3.7801 2.2 500 2.1946 1.0068
0.7656 4.41 1000 0.3422 0.3137
0.3193 6.61 1500 0.2528 0.2327
0.2202 8.81 2000 0.2141 0.2121
0.1703 11.01 2500 0.2121 0.1966
0.1388 13.22 3000 0.3337 0.2325
0.119 15.42 3500 0.2342 0.1847
0.0992 17.62 4000 0.2356 0.1785
0.0875 19.82 4500 0.2534 0.1810
0.0769 22.03 5000 0.2491 0.1765
0.0661 24.23 5500 0.2513 0.1710
0.0587 26.43 6000 0.2546 0.1686
0.0544 28.63 6500 0.2489 0.1673

Framework versions

  • Transformers 4.29.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3
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