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whisper_train_on_validated_cv_model__0025

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: 0.0123
  • Train Accuracy: 0.0821
  • Train Wermet: 5.7417
  • Validation Loss: 0.5214
  • Validation Accuracy: 0.0720
  • Validation Wermet: 6.8845
  • Epoch: 24

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
0.0212 0.0819 6.3234 0.4647 0.0720 7.4961 20
0.0183 0.0820 5.8886 0.4744 0.0721 5.6633 21
0.0141 0.0821 6.0894 0.5076 0.0718 5.6186 22
0.0130 0.0821 5.8770 0.5010 0.0721 6.2209 23
0.0123 0.0821 5.7417 0.5214 0.0720 6.8845 24

Framework versions

  • Transformers 4.32.0.dev0
  • TensorFlow 2.12.0
  • Tokenizers 0.13.3
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