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metadata
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_keras_callback
model-index:
  - name: whisper_train_on_validated_cv_model__0020
    results: []

whisper_train_on_validated_cv_model__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: 0.0257
  • Train Accuracy: 0.0818
  • Train Wermet: 6.1581
  • Validation Loss: 0.4476
  • Validation Accuracy: 0.0720
  • Validation Wermet: 7.0531
  • 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
2.2992 0.0331 6.3187 1.9677 0.0372 7.2782 0
1.7447 0.0431 5.6345 1.7865 0.0408 6.3969 1
1.5036 0.0480 5.6512 1.4821 0.0468 5.1810 2
1.0955 0.0567 4.4606 1.0492 0.0557 3.7886 3
0.7076 0.0654 4.9157 0.7312 0.0627 4.2416 4
0.4703 0.0710 4.9749 0.5668 0.0664 4.8883 5
0.3552 0.0737 5.1823 0.4725 0.0685 4.8141 6
0.2865 0.0754 4.1024 0.4358 0.0694 3.8550 7
0.2380 0.0765 3.3689 0.3947 0.0704 2.2953 8
0.1998 0.0775 2.6219 0.3848 0.0707 3.0529 9
0.1687 0.0782 2.2111 0.3689 0.0711 1.8146 10
0.1417 0.0789 2.5284 0.3709 0.0713 1.9439 11
0.1190 0.0795 2.8048 0.3631 0.0716 3.0845 12
0.0983 0.0800 3.2668 0.3657 0.0717 3.6423 13
0.0815 0.0804 3.8567 0.3806 0.0717 6.1506 14
0.0659 0.0808 5.0931 0.3920 0.0718 6.4431 15
0.0520 0.0812 5.6397 0.3935 0.0720 5.1514 16
0.0409 0.0814 5.7797 0.4147 0.0720 4.2822 17
0.0330 0.0816 5.1017 0.4354 0.0719 6.2876 18
0.0257 0.0818 6.1581 0.4476 0.0720 7.0531 19

Framework versions

  • Transformers 4.32.0.dev0
  • TensorFlow 2.12.0
  • Tokenizers 0.13.3