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train_from_raw_cv12__0020

This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: nan
  • Train Accuracy: 0.0032
  • Train Wermet: 8.3902
  • Validation Loss: nan
  • Validation Accuracy: 0.0032
  • Validation Wermet: 8.3902
  • Epoch: 19

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:

  • optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Train Accuracy Train Wermet Validation Loss Validation Accuracy Validation Wermet Epoch
nan 0.0032 8.3778 nan 0.0032 8.3902 0
nan 0.0032 8.3902 nan 0.0032 8.3902 1
nan 0.0032 8.3902 nan 0.0032 8.3902 2
nan 0.0032 8.3902 nan 0.0032 8.3902 3
nan 0.0032 8.3902 nan 0.0032 8.3902 4
nan 0.0032 8.3902 nan 0.0032 8.3902 5
nan 0.0032 8.3902 nan 0.0032 8.3902 6
nan 0.0032 8.3902 nan 0.0032 8.3902 7
nan 0.0032 8.3902 nan 0.0032 8.3902 8
nan 0.0032 8.3902 nan 0.0032 8.3902 9
nan 0.0032 8.3902 nan 0.0032 8.3902 10
nan 0.0032 8.3902 nan 0.0032 8.3902 11
nan 0.0032 8.3902 nan 0.0032 8.3902 12
nan 0.0032 8.3902 nan 0.0032 8.3902 13
nan 0.0032 8.3902 nan 0.0032 8.3902 14
nan 0.0032 8.3902 nan 0.0032 8.3902 15
nan 0.0032 8.3902 nan 0.0032 8.3902 16
nan 0.0032 8.3902 nan 0.0032 8.3902 17
nan 0.0032 8.3902 nan 0.0032 8.3902 18
nan 0.0032 8.3902 nan 0.0032 8.3902 19

Framework versions

  • Transformers 4.33.0.dev0
  • TensorFlow 2.13.0
  • Tokenizers 0.13.3
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