hubert-base-timit-demo-colab

This model is a fine-tuned version of facebook/hubert-large-ls960-ft on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1092
  • Wer: 0.1728

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
5.4664 4.0 500 2.3026 0.9866
0.8171 8.0 1000 0.0980 0.1885
0.2983 12.0 1500 0.0943 0.1750
0.1769 16.0 2000 0.0990 0.1737
0.1823 20.0 2500 0.1068 0.1757
0.0761 24.0 3000 0.1041 0.1719
0.0993 28.0 3500 0.1092 0.1728

Framework versions

  • Transformers 4.13.0
  • Pytorch 1.10.0+cu111
  • Datasets 1.16.1
  • Tokenizers 0.10.3
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