Raw-speech-classification

Latest version: v1.0.2

Safety actively analyzes 681812 Python packages for vulnerabilities to keep your Python projects secure.

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0.000390625

6137/6137 - 91s - 15ms/step - accuracy: 0.6850 - loss: 0.7663 - val_accuracy: 0.4161 - val_loss: 1.7716

0.000195313

6137/6137 - 92s - 15ms/step - accuracy: 0.6690 - loss: 0.7993 - val_accuracy: 0.4282 - val_loss: 1.6426
Learning rate: 9.76563e-05
6137/6137 - 92s - 15ms/step - accuracy: 0.6558 - loss: 0.8285 - val_accuracy: 0.4332 - val_loss: 1.5882
Learning rate: 9.76563e-05
6137/6137 - 93s - 15ms/step - accuracy: 0.6594 - loss: 0.8201 - val_accuracy: 0.4340 - val_loss: 1.5817
Learning rate: 9.76563e-05
6137/6137 - 92s - 15ms/step - accuracy: 0.6608 - loss: 0.8169 - val_accuracy: 0.4342 - val_loss: 1.5793
Learning rate: 9.76563e-05
6137/6137 - 92s - 15ms/step - accuracy: 0.6620 - loss: 0.8145 - val_accuracy: 0.4341 - val_loss: 1.5783
Learning rate: 4.88281e-05
6137/6137 - 92s - 15ms/step - accuracy: 0.6567 - loss: 0.8264 - val_accuracy: 0.4372 - val_loss: 1.5534
Learning rate: 4.88281e-05
6137/6137 - 90s - 15ms/step - accuracy: 0.6585 - loss: 0.8220 - val_accuracy: 0.4377 - val_loss: 1.5497
Learning rate: 4.88281e-05
6137/6137 - 91s - 15ms/step - accuracy: 0.6593 - loss: 0.8201 - val_accuracy: 0.4380 - val_loss: 1.5479
Learning rate: 2.44141e-05
6137/6137 - 91s - 15ms/step - accuracy: 0.6575 - loss: 0.8244 - val_accuracy: 0.4398 - val_loss: 1.5327
Learning rate: 2.44141e-05
6137/6137 - 90s - 15ms/step - accuracy: 0.6584 - loss: 0.8223 - val_accuracy: 0.4400 - val_loss: 1.5300
Learning rate: 2.44141e-05
6137/6137 - 90s - 15ms/step - accuracy: 0.6587 - loss: 0.8213 - val_accuracy: 0.4401 - val_loss: 1.5288
Learning rate: 1.2207e-05
6137/6137 - 91s - 15ms/step - accuracy: 0.6582 - loss: 0.8227 - val_accuracy: 0.4410 - val_loss: 1.5220
Learning rate: 1.2207e-05
6137/6137 - 92s - 15ms/step - accuracy: 0.6586 - loss: 0.8217 - val_accuracy: 0.4412 - val_loss: 1.5199
Learning rate: 1.2207e-05
6137/6137 - 90s - 15ms/step - accuracy: 0.6588 - loss: 0.8212 - val_accuracy: 0.4412 - val_loss: 1.5188
Learning rate: 6.10352e-06
6137/6137 - 90s - 15ms/step - accuracy: 0.6588 - loss: 0.8215 - val_accuracy: 0.4415 - val_loss: 1.5166
Learning rate: 6.10352e-06
6137/6137 - 90s - 15ms/step - accuracy: 0.6590 - loss: 0.8211 - val_accuracy: 0.4415 - val_loss: 1.5154
Learning rate: 3.05176e-06
6137/6137 - 90s - 15ms/step - accuracy: 0.6590 - loss: 0.8210 - val_accuracy: 0.4416 - val_loss: 1.5145
Learning rate: 1.52588e-06
6137/6137 - 90s - 15ms/step - accuracy: 0.6591 - loss: 0.8209 - val_accuracy: 0.4416 - val_loss: 1.5140
Learning rate: 7.62939e-07
6137/6137 - 93s - 15ms/step - accuracy: 0.6591 - loss: 0.8209 - val_accuracy: 0.4416 - val_loss: 1.5137
Learning rate: 3.8147e-07
6137/6137 - 90s - 15ms/step - accuracy: 0.6591 - loss: 0.8209 - val_accuracy: 0.4417 - val_loss: 1.5136
Learning rate: 1.90735e-07
6137/6137 - 89s - 15ms/step - accuracy: 0.6591 - loss: 0.8208 - val_accuracy: 0.4417 - val_loss: 1.5135
Script took 01:11:15
End at 2024-08-13 12:06:33

0.00078125

6137/6137 - 91s - 15ms/step - accuracy: 0.7120 - loss: 0.7092 - val_accuracy: 0.4062 - val_loss: 1.9520

0.0015625

6137/6137 - 91s - 15ms/step - accuracy: 0.7419 - loss: 0.6459 - val_accuracy: 0.3990 - val_loss: 2.1904

0.003125

6137/6137 - 91s - 15ms/step - accuracy: 0.7668 - loss: 0.5918 - val_accuracy: 0.3963 - val_loss: 2.3962

0.00625

6137/6137 - 90s - 15ms/step - accuracy: 0.7738 - loss: 0.5780 - val_accuracy: 0.3923 - val_loss: 2.6185

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