whisper_end22

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: 0.1061
  • Train Accuracy: 0.0341
  • Validation Loss: 0.5635
  • Validation Accuracy: 0.0314
  • Epoch: 22

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': 1e-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 Validation Loss Validation Accuracy Epoch
5.0856 0.0116 4.4440 0.0123 0
4.3149 0.0131 4.0521 0.0142 1
3.9260 0.0146 3.7264 0.0153 2
3.5418 0.0160 3.3026 0.0174 3
2.7510 0.0198 2.0157 0.0241 4
1.6782 0.0250 1.3567 0.0273 5
1.1705 0.0274 1.0678 0.0286 6
0.9126 0.0287 0.9152 0.0294 7
0.7514 0.0296 0.8057 0.0299 8
0.6371 0.0302 0.7409 0.0302 9
0.5498 0.0307 0.6854 0.0306 10
0.4804 0.0312 0.6518 0.0307 11
0.4214 0.0316 0.6200 0.0310 12
0.3713 0.0319 0.5947 0.0311 13
0.3281 0.0322 0.5841 0.0311 14
0.2891 0.0325 0.5700 0.0313 15
0.2550 0.0328 0.5614 0.0313 16
0.2237 0.0331 0.5572 0.0313 17
0.1959 0.0333 0.5563 0.0314 18
0.1698 0.0335 0.5530 0.0314 19
0.1455 0.0337 0.5590 0.0314 20
0.1242 0.0339 0.5743 0.0313 21
0.1061 0.0341 0.5635 0.0314 22

Framework versions

  • Transformers 4.25.0.dev0
  • TensorFlow 2.9.2
  • Tokenizers 0.13.2
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