Open Zumbalamambo opened 4 years ago
Why is that the step size never crosses 32 while it has to be 320? Also the resultant model is so inaccurate
> > __________________________________________________________________________________________________ > Layer (type) Output Shape Param # Connected to > ================================================================================================== > input_7 (InputLayer) (None, 416, 416, 3) 0 > __________________________________________________________________________________________________ > model_4 (Model) (None, 13, 13, 1024) 50547936 input_7[0][0] > __________________________________________________________________________________________________ > DetectionLayer (Conv2D) (None, 13, 13, 40) 41000 model_4[1][0] > __________________________________________________________________________________________________ > reshape_2 (Reshape) (None, 13, 13, 5, 8) 0 DetectionLayer[0][0] > __________________________________________________________________________________________________ > input_8 (InputLayer) (None, 1, 1, 1, 10, 0 > __________________________________________________________________________________________________ > lambda_5 (Lambda) (None, 13, 13, 5, 8) 0 reshape_2[0][0] > input_8[0][0] > ================================================================================================== > Total params: 50,588,936 > Trainable params: 50,568,264 > Non-trainable params: 20,672 > __________________________________________________________________________________________________ > Epoch 1/53 > 32/320 [==>...........................] - ETA: 6:49 - loss: 10.2203Epoch 00001: val_loss improved from inf to 10.10496, saving model to model.h5 > 32/320 [==>...........................] - ETA: 10:32 - loss: 10.2203 - val_loss: 0.0000e+00Epoch 2/53 > 32/320 [==>...........................] - ETA: 4:31 - loss: 10.0364Epoch 00002: val_loss improved from 10.10496 to 10.03809, saving model to model.h5 > 32/320 [==>...........................] - ETA: 7:14 - loss: 10.0364 - val_loss: 0.0000e+00Epoch 3/53 > 32/320 [==>...........................] - ETA: 5:10 - loss: 10.0151Epoch 00003: val_loss improved from 10.03809 to 10.01886, saving model to model.h5 > 32/320 [==>...........................] - ETA: 7:54 - loss: 10.0151 - val_loss: 0.0000e+00
Why is that the step size never crosses 32 while it has to be 320? Also the resultant model is so inaccurate