job_27456126.out

Epoch [1/100], Total Loss: 115.3046
Epoch [2/100], Total Loss: 115.4415
Epoch [3/100], Total Loss: 111.5349
Epoch [4/100], Total Loss: 107.5426
Epoch [5/100], Total Loss: 105.6825
Epoch [6/100], Total Loss: 102.6746
Epoch [7/100], Total Loss: 100.2376
Epoch [8/100], Total Loss: 102.1732
Epoch [9/100], Total Loss: 96.9266
Epoch [10/100], Total Loss: 88.9751
======================2======================
Validation Accuracy: 60.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 0, 2, 0, 2, 0, 2, 0, 2, 0]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 60.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [11/100], Total Loss: 83.3185
Epoch [12/100], Total Loss: 79.6327
Epoch [13/100], Total Loss: 70.3678
Epoch [14/100], Total Loss: 78.0502
Epoch [15/100], Total Loss: 71.5356
Epoch [16/100], Total Loss: 69.9429
Epoch [17/100], Total Loss: 70.2177
Epoch [18/100], Total Loss: 68.9201
Epoch [19/100], Total Loss: 64.5194
Epoch [20/100], Total Loss: 60.9351
======================2======================
Validation Accuracy: 50.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 50.00%
Predictions for masks_4: [1, 0, 1, 0, 1, 0, 1, 0, 1, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 60.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 50.00%
Predictions for masks_4: [1, 0, 1, 0, 1, 0, 1, 0, 1, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [21/100], Total Loss: 62.5673
Epoch [22/100], Total Loss: 60.1915
Epoch [23/100], Total Loss: 56.3502
Epoch [24/100], Total Loss: 55.4881
Epoch [25/100], Total Loss: 54.9436
Epoch [26/100], Total Loss: 54.9107
Epoch [27/100], Total Loss: 49.2795
Epoch [28/100], Total Loss: 50.1637
Epoch [29/100], Total Loss: 59.1979
Epoch [30/100], Total Loss: 45.6791
======================2======================
Validation Accuracy: 70.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 50.00%
Predictions for masks_4: [1, 0, 1, 0, 1, 0, 1, 0, 1, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 60.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 50.00%
Predictions for masks_4: [1, 0, 1, 0, 1, 0, 1, 0, 1, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [31/100], Total Loss: 49.6492
Epoch [32/100], Total Loss: 42.3386
Epoch [33/100], Total Loss: 38.7042
Epoch [34/100], Total Loss: 42.2798
Epoch [35/100], Total Loss: 37.8175
Epoch [36/100], Total Loss: 35.0169
Epoch [37/100], Total Loss: 37.9873
Epoch [38/100], Total Loss: 34.0221
Epoch [39/100], Total Loss: 34.3673
Epoch [40/100], Total Loss: 32.1209
======================2======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 70.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [41/100], Total Loss: 28.5812
Epoch [42/100], Total Loss: 27.0139
Epoch [43/100], Total Loss: 32.2163
Epoch [44/100], Total Loss: 29.1670
Epoch [45/100], Total Loss: 27.5485
Epoch [46/100], Total Loss: 28.7553
Epoch [47/100], Total Loss: 25.5639
Epoch [48/100], Total Loss: 21.9056
Epoch [49/100], Total Loss: 24.4438
Epoch [50/100], Total Loss: 22.9054
======================2======================
Validation Accuracy: 80.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 90.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [51/100], Total Loss: 24.3702
Epoch [52/100], Total Loss: 26.1044
Epoch [53/100], Total Loss: 26.4043
Epoch [54/100], Total Loss: 21.2552
Epoch [55/100], Total Loss: 24.2266
Epoch [56/100], Total Loss: 25.5139
Epoch [57/100], Total Loss: 21.9604
Epoch [58/100], Total Loss: 21.1593
Epoch [59/100], Total Loss: 21.6651
Epoch [60/100], Total Loss: 21.4493
======================2======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 90.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [61/100], Total Loss: 25.2344
Epoch [62/100], Total Loss: 20.4741
Epoch [63/100], Total Loss: 21.2634
Epoch [64/100], Total Loss: 30.2147
Epoch [65/100], Total Loss: 25.4888
Epoch [66/100], Total Loss: 19.1549
Epoch [67/100], Total Loss: 19.3368
Epoch [68/100], Total Loss: 19.5553
Epoch [69/100], Total Loss: 16.8547
Epoch [70/100], Total Loss: 24.0805
======================2======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 90.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [71/100], Total Loss: 19.9690
Epoch [72/100], Total Loss: 21.6535
Epoch [73/100], Total Loss: 16.9439
Epoch [74/100], Total Loss: 16.7902
Epoch [75/100], Total Loss: 20.8472
Epoch [76/100], Total Loss: 21.4103
Epoch [77/100], Total Loss: 18.6130
Epoch [78/100], Total Loss: 18.4660
Epoch [79/100], Total Loss: 17.0185
Epoch [80/100], Total Loss: 17.2819
======================2======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 90.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [81/100], Total Loss: 19.8501
Epoch [82/100], Total Loss: 16.2212
Epoch [83/100], Total Loss: 15.4972
Epoch [84/100], Total Loss: 19.9939
Epoch [85/100], Total Loss: 24.2243
Epoch [86/100], Total Loss: 16.7771
Epoch [87/100], Total Loss: 18.1441
Epoch [88/100], Total Loss: 20.5261
Epoch [89/100], Total Loss: 12.1992
Epoch [90/100], Total Loss: 16.1349
======================2======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 90.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [91/100], Total Loss: 18.0258
Epoch [92/100], Total Loss: 21.4089
Epoch [93/100], Total Loss: 18.9087
Epoch [94/100], Total Loss: 19.8845
Epoch [95/100], Total Loss: 17.0768
Epoch [96/100], Total Loss: 16.5938
Epoch [97/100], Total Loss: 17.8668
Epoch [98/100], Total Loss: 19.2526
Epoch [99/100], Total Loss: 20.3584
Epoch [100/100], Total Loss: 21.2884
======================2======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 90.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [1/100], Total Loss: 125.8881
Epoch [2/100], Total Loss: 113.2107
Epoch [3/100], Total Loss: 104.7913
Epoch [4/100], Total Loss: 105.0185
Epoch [5/100], Total Loss: 100.8815
Epoch [6/100], Total Loss: 94.4956
Epoch [7/100], Total Loss: 95.5368
Epoch [8/100], Total Loss: 81.9802
Epoch [9/100], Total Loss: 78.5398
Epoch [10/100], Total Loss: 76.0100
======================4======================
Validation Accuracy: 50.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 50.00%
Predictions for masks_4: [2, 0, 2, 0, 2, 0, 2, 0, 2, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 50.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 50.00%
Predictions for masks_4: [2, 0, 2, 0, 2, 0, 2, 0, 2, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [11/100], Total Loss: 65.1067
Epoch [12/100], Total Loss: 61.0054
Epoch [13/100], Total Loss: 53.3769
Epoch [14/100], Total Loss: 50.0178
Epoch [15/100], Total Loss: 44.7049
Epoch [16/100], Total Loss: 73.3290
Epoch [17/100], Total Loss: 52.5132
Epoch [18/100], Total Loss: 41.7183
Epoch [19/100], Total Loss: 42.4557
Epoch [20/100], Total Loss: 46.2006
======================4======================
Validation Accuracy: 60.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 0, 1, 0, 1, 0, 1, 0, 1, 0]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 0.00%
Predictions for masks_1: [1, 0, 1, 0, 1, 0, 1, 0, 1, 0]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 60.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 50.00%
Predictions for masks_4: [1, 0, 1, 0, 1, 0, 1, 0, 1, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1, 0, 1, 0, 1, 0, 1, 0, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 0, 2, 0, 2, 0, 2, 0, 2, 0]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [21/100], Total Loss: 41.8714
Epoch [22/100], Total Loss: 50.1690
Epoch [23/100], Total Loss: 37.0191
Epoch [24/100], Total Loss: 38.7830
Epoch [25/100], Total Loss: 35.8835
Epoch [26/100], Total Loss: 36.7642
Epoch [27/100], Total Loss: 35.9582
Epoch [28/100], Total Loss: 28.9836
Epoch [29/100], Total Loss: 28.3271
Epoch [30/100], Total Loss: 31.1657
======================4======================
Validation Accuracy: 60.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 60.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 50.00%
Predictions for masks_4: [2, 0, 2, 0, 2, 0, 2, 0, 2, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [31/100], Total Loss: 21.2250
Epoch [32/100], Total Loss: 18.3087
Epoch [33/100], Total Loss: 32.1854
Epoch [34/100], Total Loss: 18.7562
Epoch [35/100], Total Loss: 24.5004
Epoch [36/100], Total Loss: 17.1246
Epoch [37/100], Total Loss: 23.1240
Epoch [38/100], Total Loss: 17.4892
Epoch [39/100], Total Loss: 22.4649
Epoch [40/100], Total Loss: 22.2580
======================4======================
Validation Accuracy: 70.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1, 0, 1, 0, 1, 0, 1, 0, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 100.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [41/100], Total Loss: 16.0694
Epoch [42/100], Total Loss: 18.1949
Epoch [43/100], Total Loss: 21.0452
Epoch [44/100], Total Loss: 13.1798
Epoch [45/100], Total Loss: 15.6255
Epoch [46/100], Total Loss: 16.0609
Epoch [47/100], Total Loss: 14.9815
Epoch [48/100], Total Loss: 19.2240
Epoch [49/100], Total Loss: 14.9984
Epoch [50/100], Total Loss: 14.3808
======================4======================
Validation Accuracy: 80.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 90.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1, 0, 1, 0, 1, 0, 1, 0, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [51/100], Total Loss: 11.9769
Epoch [52/100], Total Loss: 11.8898
Epoch [53/100], Total Loss: 10.5176
Epoch [54/100], Total Loss: 12.4142
Epoch [55/100], Total Loss: 15.5921
Epoch [56/100], Total Loss: 11.6713
Epoch [57/100], Total Loss: 13.3969
Epoch [58/100], Total Loss: 12.2866
Epoch [59/100], Total Loss: 12.2898
Epoch [60/100], Total Loss: 31.0246
======================4======================
Validation Accuracy: 80.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 0, 2, 0, 2, 0, 2, 0, 2, 0]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 70.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1, 0, 1, 0, 1, 0, 1, 0, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [1, 0, 1, 0, 1, 0, 1, 0, 1, 0]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [61/100], Total Loss: 10.5962
Epoch [62/100], Total Loss: 14.9481
Epoch [63/100], Total Loss: 7.7562
Epoch [64/100], Total Loss: 8.9656
Epoch [65/100], Total Loss: 11.5787
Epoch [66/100], Total Loss: 12.0292
Epoch [67/100], Total Loss: 15.6288
Epoch [68/100], Total Loss: 10.5477
Epoch [69/100], Total Loss: 10.5446
Epoch [70/100], Total Loss: 15.2953
======================4======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 100.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [71/100], Total Loss: 13.2273
Epoch [72/100], Total Loss: 13.1009
Epoch [73/100], Total Loss: 12.8404
Epoch [74/100], Total Loss: 11.8118
Epoch [75/100], Total Loss: 16.5605
Epoch [76/100], Total Loss: 7.5275
Epoch [77/100], Total Loss: 6.9632
Epoch [78/100], Total Loss: 14.4679
Epoch [79/100], Total Loss: 9.1145
Epoch [80/100], Total Loss: 9.5589
======================4======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 100.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [81/100], Total Loss: 12.3310
Epoch [82/100], Total Loss: 9.7166
Epoch [83/100], Total Loss: 8.4128
Epoch [84/100], Total Loss: 9.5248
Epoch [85/100], Total Loss: 9.4497
Epoch [86/100], Total Loss: 9.6225
Epoch [87/100], Total Loss: 8.9059
Epoch [88/100], Total Loss: 17.6598
Epoch [89/100], Total Loss: 15.1544
Epoch [90/100], Total Loss: 17.4004
======================4======================
Validation Accuracy: 80.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1, 0, 1, 0, 1, 0, 1, 0, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 90.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 0, 2, 0, 2, 0, 2, 0, 2, 0]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [91/100], Total Loss: 9.1493
Epoch [92/100], Total Loss: 12.0215
Epoch [93/100], Total Loss: 12.0798
Epoch [94/100], Total Loss: 12.9475
Epoch [95/100], Total Loss: 9.1767
Epoch [96/100], Total Loss: 14.0466
Epoch [97/100], Total Loss: 10.6155
Epoch [98/100], Total Loss: 5.6461
Epoch [99/100], Total Loss: 16.8847
Epoch [100/100], Total Loss: 12.4182
======================4======================
Validation Accuracy: 80.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1, 0, 1, 0, 1, 0, 1, 0, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 90.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 0, 2, 0, 2, 0, 2, 0, 2, 0]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [1/100], Total Loss: 131.9110
Epoch [2/100], Total Loss: 112.9481
Epoch [3/100], Total Loss: 112.5011
Epoch [4/100], Total Loss: 104.3375
Epoch [5/100], Total Loss: 114.0054
Epoch [6/100], Total Loss: 114.8728
Epoch [7/100], Total Loss: 104.6512
Epoch [8/100], Total Loss: 103.4143
Epoch [9/100], Total Loss: 101.1928
Epoch [10/100], Total Loss: 94.5200
======================6======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [11/100], Total Loss: 85.1930
Epoch [12/100], Total Loss: 79.5687
Epoch [13/100], Total Loss: 75.7432
Epoch [14/100], Total Loss: 67.9474
Epoch [15/100], Total Loss: 66.5710
Epoch [16/100], Total Loss: 65.1507
Epoch [17/100], Total Loss: 54.0834
Epoch [18/100], Total Loss: 50.8346
Epoch [19/100], Total Loss: 58.6881
Epoch [20/100], Total Loss: 49.0052
======================6======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 50.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [21/100], Total Loss: 41.8863
Epoch [22/100], Total Loss: 50.4413
Epoch [23/100], Total Loss: 34.2025
Epoch [24/100], Total Loss: 42.1200
Epoch [25/100], Total Loss: 52.4173
Epoch [26/100], Total Loss: 31.6226
Epoch [27/100], Total Loss: 34.7445
Epoch [28/100], Total Loss: 33.1117
Epoch [29/100], Total Loss: 28.1901
Epoch [30/100], Total Loss: 29.8985
======================6======================
Validation Accuracy: 50.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 50.00%
Predictions for masks_4: [2, 0, 2, 0, 2, 0, 2, 0, 2, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 50.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [31/100], Total Loss: 33.3369
Epoch [32/100], Total Loss: 34.9385
Epoch [33/100], Total Loss: 31.4342
Epoch [34/100], Total Loss: 27.7778
Epoch [35/100], Total Loss: 21.3245
Epoch [36/100], Total Loss: 30.1864
Epoch [37/100], Total Loss: 21.9840
Epoch [38/100], Total Loss: 24.5371
Epoch [39/100], Total Loss: 23.3519
Epoch [40/100], Total Loss: 18.8345
======================6======================
Validation Accuracy: 80.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 0, 2, 0, 2, 0, 2, 0, 2, 0]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 90.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [41/100], Total Loss: 20.2564
Epoch [42/100], Total Loss: 22.5178
Epoch [43/100], Total Loss: 31.7237
Epoch [44/100], Total Loss: 14.0144
Epoch [45/100], Total Loss: 26.1652
Epoch [46/100], Total Loss: 20.0296
Epoch [47/100], Total Loss: 15.7949
Epoch [48/100], Total Loss: 14.8250
Epoch [49/100], Total Loss: 21.1365
Epoch [50/100], Total Loss: 16.9332
======================6======================
Validation Accuracy: 80.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 90.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [51/100], Total Loss: 18.3183
Epoch [52/100], Total Loss: 12.5721
Epoch [53/100], Total Loss: 12.9809
Epoch [54/100], Total Loss: 12.8904
Epoch [55/100], Total Loss: 15.4923
Epoch [56/100], Total Loss: 12.9099
Epoch [57/100], Total Loss: 14.7823
Epoch [58/100], Total Loss: 10.7202
Epoch [59/100], Total Loss: 15.7617
Epoch [60/100], Total Loss: 13.8998
======================6======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 90.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [61/100], Total Loss: 10.1514
Epoch [62/100], Total Loss: 9.0763
Epoch [63/100], Total Loss: 12.9563
Epoch [64/100], Total Loss: 7.8997
Epoch [65/100], Total Loss: 12.1242
Epoch [66/100], Total Loss: 17.6154
Epoch [67/100], Total Loss: 10.4319
Epoch [68/100], Total Loss: 13.4695
Epoch [69/100], Total Loss: 11.3938
Epoch [70/100], Total Loss: 12.3016
======================6======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 90.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [71/100], Total Loss: 11.3353
Epoch [72/100], Total Loss: 10.9068
Epoch [73/100], Total Loss: 11.2235
Epoch [74/100], Total Loss: 16.0976
Epoch [75/100], Total Loss: 15.3703
Epoch [76/100], Total Loss: 12.1207
Epoch [77/100], Total Loss: 10.4480
Epoch [78/100], Total Loss: 11.6205
Epoch [79/100], Total Loss: 17.4090
Epoch [80/100], Total Loss: 8.9739
======================6======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 90.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [81/100], Total Loss: 9.3152
Epoch [82/100], Total Loss: 9.1804
Epoch [83/100], Total Loss: 12.9877
Epoch [84/100], Total Loss: 10.8443
Epoch [85/100], Total Loss: 8.5730
Epoch [86/100], Total Loss: 11.9221
Epoch [87/100], Total Loss: 11.4276
Epoch [88/100], Total Loss: 11.5621
Epoch [89/100], Total Loss: 9.3327
Epoch [90/100], Total Loss: 10.5473
======================6======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 90.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [91/100], Total Loss: 13.2533
Epoch [92/100], Total Loss: 10.1795
Epoch [93/100], Total Loss: 8.5242
Epoch [94/100], Total Loss: 6.1748
Epoch [95/100], Total Loss: 7.7445
Epoch [96/100], Total Loss: 14.1714
Epoch [97/100], Total Loss: 13.4007
Epoch [98/100], Total Loss: 11.4719
Epoch [99/100], Total Loss: 10.4923
Epoch [100/100], Total Loss: 10.9490
======================6======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 90.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [1/100], Total Loss: 116.8475
Epoch [2/100], Total Loss: 115.9125
Epoch [3/100], Total Loss: 113.7283
Epoch [4/100], Total Loss: 100.7729
Epoch [5/100], Total Loss: 98.1284
Epoch [6/100], Total Loss: 91.4837
Epoch [7/100], Total Loss: 91.0018
Epoch [8/100], Total Loss: 79.2028
Epoch [9/100], Total Loss: 68.9179
Epoch [10/100], Total Loss: 78.3917
======================8======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [11/100], Total Loss: 63.6728
Epoch [12/100], Total Loss: 65.4349
Epoch [13/100], Total Loss: 60.5993
Epoch [14/100], Total Loss: 58.8612
Epoch [15/100], Total Loss: 58.4668
Epoch [16/100], Total Loss: 62.7416
Epoch [17/100], Total Loss: 64.1433
Epoch [18/100], Total Loss: 55.2185
Epoch [19/100], Total Loss: 48.3364
Epoch [20/100], Total Loss: 39.5315
======================8======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [21/100], Total Loss: 61.7887
Epoch [22/100], Total Loss: 52.1776
Epoch [23/100], Total Loss: 49.0620
Epoch [24/100], Total Loss: 37.5596
Epoch [25/100], Total Loss: 41.6891
Epoch [26/100], Total Loss: 47.0558
Epoch [27/100], Total Loss: 39.4244
Epoch [28/100], Total Loss: 28.2421
Epoch [29/100], Total Loss: 32.7668
Epoch [30/100], Total Loss: 40.3558
======================8======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 50.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [31/100], Total Loss: 36.6936
Epoch [32/100], Total Loss: 29.3802
Epoch [33/100], Total Loss: 36.5403
Epoch [34/100], Total Loss: 23.9128
Epoch [35/100], Total Loss: 35.4521
Epoch [36/100], Total Loss: 26.3950
Epoch [37/100], Total Loss: 22.9383
Epoch [38/100], Total Loss: 23.7701
Epoch [39/100], Total Loss: 23.7928
Epoch [40/100], Total Loss: 20.4773
======================8======================
Validation Accuracy: 70.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 60.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 50.00%
Predictions for masks_4: [2, 0, 2, 0, 2, 0, 2, 0, 2, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [41/100], Total Loss: 25.6131
Epoch [42/100], Total Loss: 21.3804
Epoch [43/100], Total Loss: 31.4015
Epoch [44/100], Total Loss: 21.8241
Epoch [45/100], Total Loss: 23.4263
Epoch [46/100], Total Loss: 28.1013
Epoch [47/100], Total Loss: 23.7393
Epoch [48/100], Total Loss: 18.4167
Epoch [49/100], Total Loss: 20.1172
Epoch [50/100], Total Loss: 25.3761
======================8======================
Validation Accuracy: 70.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 0, 2, 0, 2, 0, 2, 0, 2, 0]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 60.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 0, 2, 0, 2, 0, 2, 0, 2, 0]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [51/100], Total Loss: 18.7484
Epoch [52/100], Total Loss: 14.7927
Epoch [53/100], Total Loss: 20.2670
Epoch [54/100], Total Loss: 29.6068
Epoch [55/100], Total Loss: 13.7803
Epoch [56/100], Total Loss: 17.6229
Epoch [57/100], Total Loss: 17.1079
Epoch [58/100], Total Loss: 12.8269
Epoch [59/100], Total Loss: 16.2942
Epoch [60/100], Total Loss: 16.4719
======================8======================
Validation Accuracy: 70.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 60.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [61/100], Total Loss: 20.7268
Epoch [62/100], Total Loss: 18.0231
Epoch [63/100], Total Loss: 11.3320
Epoch [64/100], Total Loss: 22.3581
Epoch [65/100], Total Loss: 16.1440
Epoch [66/100], Total Loss: 14.2917
Epoch [67/100], Total Loss: 18.1551
Epoch [68/100], Total Loss: 16.2319
Epoch [69/100], Total Loss: 19.6105
Epoch [70/100], Total Loss: 18.3976
======================8======================
Validation Accuracy: 80.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 60.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [71/100], Total Loss: 10.9334
Epoch [72/100], Total Loss: 17.7318
Epoch [73/100], Total Loss: 9.1902
Epoch [74/100], Total Loss: 27.8656
Epoch [75/100], Total Loss: 14.1624
Epoch [76/100], Total Loss: 19.0398
Epoch [77/100], Total Loss: 10.6368
Epoch [78/100], Total Loss: 18.6840
Epoch [79/100], Total Loss: 17.7350
Epoch [80/100], Total Loss: 15.9668
======================8======================
Validation Accuracy: 80.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 70.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [81/100], Total Loss: 12.1194
Epoch [82/100], Total Loss: 11.7458
Epoch [83/100], Total Loss: 15.2279
Epoch [84/100], Total Loss: 16.8549
Epoch [85/100], Total Loss: 13.6461
Epoch [86/100], Total Loss: 17.2821
Epoch [87/100], Total Loss: 11.6759
Epoch [88/100], Total Loss: 11.0618
Epoch [89/100], Total Loss: 14.6995
Epoch [90/100], Total Loss: 15.2006
======================8======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 70.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [91/100], Total Loss: 18.7820
Epoch [92/100], Total Loss: 15.7432
Epoch [93/100], Total Loss: 10.7477
Epoch [94/100], Total Loss: 16.0859
Epoch [95/100], Total Loss: 18.0021
Epoch [96/100], Total Loss: 11.8290
Epoch [97/100], Total Loss: 11.6751
Epoch [98/100], Total Loss: 15.0077
Epoch [99/100], Total Loss: 9.7024
Epoch [100/100], Total Loss: 17.2191
======================8======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 70.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [1/100], Total Loss: 120.9499
Epoch [2/100], Total Loss: 115.1785
Epoch [3/100], Total Loss: 105.4990
Epoch [4/100], Total Loss: 104.1229
Epoch [5/100], Total Loss: 111.3073
Epoch [6/100], Total Loss: 95.8770
Epoch [7/100], Total Loss: 92.8396
Epoch [8/100], Total Loss: 92.2839
Epoch [9/100], Total Loss: 84.2597
Epoch [10/100], Total Loss: 95.0439
======================10======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [11/100], Total Loss: 83.9698
Epoch [12/100], Total Loss: 65.6533
Epoch [13/100], Total Loss: 77.7374
Epoch [14/100], Total Loss: 58.9648
Epoch [15/100], Total Loss: 54.4835
Epoch [16/100], Total Loss: 54.3596
Epoch [17/100], Total Loss: 56.1574
Epoch [18/100], Total Loss: 50.9401
Epoch [19/100], Total Loss: 44.5811
Epoch [20/100], Total Loss: 48.3642
======================10======================
Validation Accuracy: 80.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 60.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 0, 2, 0, 2, 0, 2, 0, 2, 0]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [21/100], Total Loss: 33.5884
Epoch [22/100], Total Loss: 38.4796
Epoch [23/100], Total Loss: 44.1261
Epoch [24/100], Total Loss: 37.2034
Epoch [25/100], Total Loss: 35.6437
Epoch [26/100], Total Loss: 28.7778
Epoch [27/100], Total Loss: 30.0435
Epoch [28/100], Total Loss: 28.0506
Epoch [29/100], Total Loss: 36.4674
Epoch [30/100], Total Loss: 26.9298
======================10======================
Validation Accuracy: 60.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 0, 2, 0, 2, 0, 2, 0, 2, 0]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 70.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [31/100], Total Loss: 16.1594
Epoch [32/100], Total Loss: 36.7041
Epoch [33/100], Total Loss: 30.7026
Epoch [34/100], Total Loss: 24.5645
Epoch [35/100], Total Loss: 30.7193
Epoch [36/100], Total Loss: 24.4875
Epoch [37/100], Total Loss: 25.3396
Epoch [38/100], Total Loss: 19.7257
Epoch [39/100], Total Loss: 20.7877
Epoch [40/100], Total Loss: 17.4384
======================10======================
Validation Accuracy: 80.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 60.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [41/100], Total Loss: 16.4603
Epoch [42/100], Total Loss: 17.4873
Epoch [43/100], Total Loss: 22.3814
Epoch [44/100], Total Loss: 20.1600
Epoch [45/100], Total Loss: 12.3213
Epoch [46/100], Total Loss: 20.9377
Epoch [47/100], Total Loss: 24.7655
Epoch [48/100], Total Loss: 15.0926
Epoch [49/100], Total Loss: 12.8068
Epoch [50/100], Total Loss: 18.9490
======================10======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 70.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [51/100], Total Loss: 22.5023
Epoch [52/100], Total Loss: 18.7785
Epoch [53/100], Total Loss: 12.4311
Epoch [54/100], Total Loss: 12.4690
Epoch [55/100], Total Loss: 9.5519
Epoch [56/100], Total Loss: 8.4250
Epoch [57/100], Total Loss: 15.4441
Epoch [58/100], Total Loss: 17.5124
Epoch [59/100], Total Loss: 12.7331
Epoch [60/100], Total Loss: 14.1908
======================10======================
Validation Accuracy: 80.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 80.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [61/100], Total Loss: 12.1251
Epoch [62/100], Total Loss: 6.0295
Epoch [63/100], Total Loss: 8.9668
Epoch [64/100], Total Loss: 10.8957
Epoch [65/100], Total Loss: 10.8352
Epoch [66/100], Total Loss: 12.2432
Epoch [67/100], Total Loss: 17.0623
Epoch [68/100], Total Loss: 8.0309
Epoch [69/100], Total Loss: 8.0977
Epoch [70/100], Total Loss: 9.2577
======================10======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 90.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [71/100], Total Loss: 7.3725
Epoch [72/100], Total Loss: 8.5074
Epoch [73/100], Total Loss: 6.9065
Epoch [74/100], Total Loss: 8.1076
Epoch [75/100], Total Loss: 15.2328
Epoch [76/100], Total Loss: 8.3811
Epoch [77/100], Total Loss: 12.8373
Epoch [78/100], Total Loss: 7.9823
Epoch [79/100], Total Loss: 9.3521
Epoch [80/100], Total Loss: 8.3867
======================10======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 90.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [81/100], Total Loss: 11.5023
Epoch [82/100], Total Loss: 7.7010
Epoch [83/100], Total Loss: 12.8104
Epoch [84/100], Total Loss: 7.3459
Epoch [85/100], Total Loss: 10.3320
Epoch [86/100], Total Loss: 8.2665
Epoch [87/100], Total Loss: 7.9368
Epoch [88/100], Total Loss: 7.7537
Epoch [89/100], Total Loss: 7.3177
Epoch [90/100], Total Loss: 7.9654
======================10======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 90.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [91/100], Total Loss: 6.7586
Epoch [92/100], Total Loss: 14.1162
Epoch [93/100], Total Loss: 9.9408
Epoch [94/100], Total Loss: 9.1131
Epoch [95/100], Total Loss: 11.6659
Epoch [96/100], Total Loss: 7.3228
Epoch [97/100], Total Loss: 4.8783
Epoch [98/100], Total Loss: 18.2042
Epoch [99/100], Total Loss: 7.8387
Epoch [100/100], Total Loss: 12.3150
======================10======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 90.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [1/100], Total Loss: 134.1705
Epoch [2/100], Total Loss: 114.2001
Epoch [3/100], Total Loss: 110.4074
Epoch [4/100], Total Loss: 110.8330
Epoch [5/100], Total Loss: 97.2358
Epoch [6/100], Total Loss: 94.4199
Epoch [7/100], Total Loss: 88.3420
Epoch [8/100], Total Loss: 80.9566
Epoch [9/100], Total Loss: 84.2386
Epoch [10/100], Total Loss: 93.3892
======================12======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [11/100], Total Loss: 67.5506
Epoch [12/100], Total Loss: 79.3480
Epoch [13/100], Total Loss: 70.3094
Epoch [14/100], Total Loss: 63.5967
Epoch [15/100], Total Loss: 52.6307
Epoch [16/100], Total Loss: 52.1242
Epoch [17/100], Total Loss: 52.0342
Epoch [18/100], Total Loss: 45.7125
Epoch [19/100], Total Loss: 63.0619
Epoch [20/100], Total Loss: 51.4690
======================12======================
Validation Accuracy: 50.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 50.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 50.00%
Predictions for masks_4: [2, 0, 2, 0, 2, 0, 2, 0, 2, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [21/100], Total Loss: 40.4891
Epoch [22/100], Total Loss: 50.6924
Epoch [23/100], Total Loss: 41.7154
Epoch [24/100], Total Loss: 40.0062
Epoch [25/100], Total Loss: 34.2572
Epoch [26/100], Total Loss: 24.3347
Epoch [27/100], Total Loss: 43.4686
Epoch [28/100], Total Loss: 40.2392
Epoch [29/100], Total Loss: 31.7993
Epoch [30/100], Total Loss: 38.0077
======================12======================
Validation Accuracy: 50.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 50.00%
Predictions for masks_4: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 50.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 50.00%
Predictions for masks_4: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [31/100], Total Loss: 40.6801
Epoch [32/100], Total Loss: 36.7689
Epoch [33/100], Total Loss: 20.1843
Epoch [34/100], Total Loss: 36.1389
Epoch [35/100], Total Loss: 25.7600
Epoch [36/100], Total Loss: 25.5899
Epoch [37/100], Total Loss: 23.3492
Epoch [38/100], Total Loss: 31.8248
Epoch [39/100], Total Loss: 28.6674
Epoch [40/100], Total Loss: 32.9096
======================12======================
Validation Accuracy: 80.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [2, 0, 2, 0, 2, 0, 2, 0, 2, 0]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 80.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [41/100], Total Loss: 30.7972
Epoch [42/100], Total Loss: 22.0771
Epoch [43/100], Total Loss: 21.8957
Epoch [44/100], Total Loss: 30.7098
Epoch [45/100], Total Loss: 26.4702
Epoch [46/100], Total Loss: 27.7589
Epoch [47/100], Total Loss: 18.3159
Epoch [48/100], Total Loss: 22.8400
Epoch [49/100], Total Loss: 29.5342
Epoch [50/100], Total Loss: 20.6976
======================12======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 80.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [51/100], Total Loss: 15.6267
Epoch [52/100], Total Loss: 24.9527
Epoch [53/100], Total Loss: 27.4920
Epoch [54/100], Total Loss: 14.8117
Epoch [55/100], Total Loss: 16.5433
Epoch [56/100], Total Loss: 21.1010
Epoch [57/100], Total Loss: 16.6782
Epoch [58/100], Total Loss: 16.4216
Epoch [59/100], Total Loss: 15.3492
Epoch [60/100], Total Loss: 20.9226
======================12======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 60.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [61/100], Total Loss: 15.0540
Epoch [62/100], Total Loss: 9.5783
Epoch [63/100], Total Loss: 12.6706
Epoch [64/100], Total Loss: 13.0576
Epoch [65/100], Total Loss: 14.7196
Epoch [66/100], Total Loss: 13.2887
Epoch [67/100], Total Loss: 13.0390
Epoch [68/100], Total Loss: 12.8390
Epoch [69/100], Total Loss: 16.4164
Epoch [70/100], Total Loss: 13.5119
======================12======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 60.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [71/100], Total Loss: 16.0911
Epoch [72/100], Total Loss: 13.1909
Epoch [73/100], Total Loss: 16.8634
Epoch [74/100], Total Loss: 11.6173
Epoch [75/100], Total Loss: 11.0992
Epoch [76/100], Total Loss: 12.5661
Epoch [77/100], Total Loss: 16.9202
Epoch [78/100], Total Loss: 14.0990
Epoch [79/100], Total Loss: 11.1801
Epoch [80/100], Total Loss: 13.5260
======================12======================
Validation Accuracy: 100.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 70.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [81/100], Total Loss: 15.9734
Epoch [82/100], Total Loss: 18.7154
Epoch [83/100], Total Loss: 15.7305
Epoch [84/100], Total Loss: 12.5735
Epoch [85/100], Total Loss: 17.4031
Epoch [86/100], Total Loss: 12.7682
Epoch [87/100], Total Loss: 17.6480
Epoch [88/100], Total Loss: 10.1718
Epoch [89/100], Total Loss: 17.7506
Epoch [90/100], Total Loss: 17.7170
======================12======================
Validation Accuracy: 100.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 70.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [91/100], Total Loss: 12.1322
Epoch [92/100], Total Loss: 15.7663
Epoch [93/100], Total Loss: 9.6041
Epoch [94/100], Total Loss: 11.7485
Epoch [95/100], Total Loss: 15.2018
Epoch [96/100], Total Loss: 20.0029
Epoch [97/100], Total Loss: 14.7252
Epoch [98/100], Total Loss: 11.9307
Epoch [99/100], Total Loss: 9.9246
Epoch [100/100], Total Loss: 11.8792
======================12======================
Validation Accuracy: 100.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 70.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [1/100], Total Loss: 128.7222
Epoch [2/100], Total Loss: 107.5369
Epoch [3/100], Total Loss: 118.0337
Epoch [4/100], Total Loss: 115.9290
Epoch [5/100], Total Loss: 112.2203
Epoch [6/100], Total Loss: 115.1169
Epoch [7/100], Total Loss: 99.9000
Epoch [8/100], Total Loss: 103.5283
Epoch [9/100], Total Loss: 96.0147
Epoch [10/100], Total Loss: 92.1395
======================14======================
Validation Accuracy: 60.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 50.00%
Predictions for masks_1: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [2, 0, 2, 0, 2, 0, 2, 0, 2, 0]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 0, 2, 0, 2, 0, 2, 0, 2, 0]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 0.00%
Predictions for masks_6: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [11/100], Total Loss: 87.8275
Epoch [12/100], Total Loss: 84.7982
Epoch [13/100], Total Loss: 74.0454
Epoch [14/100], Total Loss: 82.9805
Epoch [15/100], Total Loss: 68.5184
Epoch [16/100], Total Loss: 60.9557
Epoch [17/100], Total Loss: 65.0248
Epoch [18/100], Total Loss: 52.5768
Epoch [19/100], Total Loss: 62.4635
Epoch [20/100], Total Loss: 60.3187
======================14======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [21/100], Total Loss: 56.0471
Epoch [22/100], Total Loss: 52.5371
Epoch [23/100], Total Loss: 67.9883
Epoch [24/100], Total Loss: 54.1560
Epoch [25/100], Total Loss: 50.3088
Epoch [26/100], Total Loss: 59.1475
Epoch [27/100], Total Loss: 51.6058
Epoch [28/100], Total Loss: 56.3016
Epoch [29/100], Total Loss: 38.8899
Epoch [30/100], Total Loss: 58.1581
======================14======================
Validation Accuracy: 60.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [2, 0, 2, 0, 2, 0, 2, 0, 2, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 50.00%
Predictions for masks_4: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 30.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [31/100], Total Loss: 43.2362
Epoch [32/100], Total Loss: 39.4033
Epoch [33/100], Total Loss: 38.8180
Epoch [34/100], Total Loss: 39.5916
Epoch [35/100], Total Loss: 39.8151
Epoch [36/100], Total Loss: 44.0077
Epoch [37/100], Total Loss: 42.8211
Epoch [38/100], Total Loss: 31.9043
Epoch [39/100], Total Loss: 30.2382
Epoch [40/100], Total Loss: 32.8597
======================14======================
Validation Accuracy: 50.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 50.00%
Predictions for masks_4: [0, 2, 0, 2, 0, 2, 0, 2, 0, 2]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [41/100], Total Loss: 36.7548
Epoch [42/100], Total Loss: 33.0956
Epoch [43/100], Total Loss: 27.8934
Epoch [44/100], Total Loss: 33.9686
Epoch [45/100], Total Loss: 23.5407
Epoch [46/100], Total Loss: 27.8507
Epoch [47/100], Total Loss: 32.3041
Epoch [48/100], Total Loss: 29.7792
Epoch [49/100], Total Loss: 25.7082
Epoch [50/100], Total Loss: 23.3784
======================14======================
Validation Accuracy: 70.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1, 0, 1, 0, 1, 0, 1, 0, 1]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 50.00%
Predictions for masks_4: [0, 1, 0, 1, 0, 1, 0, 1, 0, 1]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 70.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [51/100], Total Loss: 33.8619
Epoch [52/100], Total Loss: 25.0500
Epoch [53/100], Total Loss: 29.9763
Epoch [54/100], Total Loss: 29.8038
Epoch [55/100], Total Loss: 27.3645
Epoch [56/100], Total Loss: 30.8666
Epoch [57/100], Total Loss: 29.3879
Epoch [58/100], Total Loss: 31.0049
Epoch [59/100], Total Loss: 27.1719
Epoch [60/100], Total Loss: 29.1308
======================14======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 70.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [61/100], Total Loss: 25.4916
Epoch [62/100], Total Loss: 25.2996
Epoch [63/100], Total Loss: 20.9609
Epoch [64/100], Total Loss: 23.9679
Epoch [65/100], Total Loss: 28.3841
Epoch [66/100], Total Loss: 17.8064
Epoch [67/100], Total Loss: 27.4067
Epoch [68/100], Total Loss: 25.6315
Epoch [69/100], Total Loss: 19.7942
Epoch [70/100], Total Loss: 30.7007
======================14======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 70.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 1, 2, 1, 2, 1, 2, 1, 2, 1]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [71/100], Total Loss: 23.4537
Epoch [72/100], Total Loss: 17.8174
Epoch [73/100], Total Loss: 24.8067
Epoch [74/100], Total Loss: 21.1262
Epoch [75/100], Total Loss: 28.4447
Epoch [76/100], Total Loss: 22.2676
Epoch [77/100], Total Loss: 18.1201
Epoch [78/100], Total Loss: 35.2214
Epoch [79/100], Total Loss: 25.8870
Epoch [80/100], Total Loss: 20.2492
======================14======================
Validation Accuracy: 100.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 80.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [81/100], Total Loss: 22.6972
Epoch [82/100], Total Loss: 25.2281
Epoch [83/100], Total Loss: 26.1208
Epoch [84/100], Total Loss: 23.6851
Epoch [85/100], Total Loss: 25.6325
Epoch [86/100], Total Loss: 20.0014
Epoch [87/100], Total Loss: 20.9370
Epoch [88/100], Total Loss: 21.9608
Epoch [89/100], Total Loss: 29.3391
Epoch [90/100], Total Loss: 24.0655
======================14======================
Validation Accuracy: 100.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 80.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [91/100], Total Loss: 22.3602
Epoch [92/100], Total Loss: 23.2011
Epoch [93/100], Total Loss: 23.1603
Epoch [94/100], Total Loss: 20.9848
Epoch [95/100], Total Loss: 21.5531
Epoch [96/100], Total Loss: 27.6435
Epoch [97/100], Total Loss: 24.4085
Epoch [98/100], Total Loss: 23.4080
Epoch [99/100], Total Loss: 21.3916
Epoch [100/100], Total Loss: 25.2784
======================14======================
Validation Accuracy: 100.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy: 80.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_3: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Ground Truths for masks_4: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_2: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Ground Truths for masks_1: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
Ground Truths for masks_6: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]
Epoch [1/100], Total Loss: 109.0972
Epoch [2/100], Total Loss: 116.7795
Epoch [3/100], Total Loss: 99.4228
Epoch [4/100], Total Loss: 114.7281
Epoch [5/100], Total Loss: 101.3672
Epoch [6/100], Total Loss: 111.3967
Epoch [7/100], Total Loss: 112.0052
Epoch [8/100], Total Loss: 89.5910
Epoch [9/100], Total Loss: 101.7523
Epoch [10/100], Total Loss: 99.2808
======================16======================
Validation Accuracy: 70.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 0]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 50.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 0]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2]
Ground Truths for masks_6: [2, 2]
Epoch [11/100], Total Loss: 97.1883
Epoch [12/100], Total Loss: 83.5171
Epoch [13/100], Total Loss: 81.9385
Epoch [14/100], Total Loss: 75.9583
Epoch [15/100], Total Loss: 75.1209
Epoch [16/100], Total Loss: 93.0471
Epoch [17/100], Total Loss: 81.9399
Epoch [18/100], Total Loss: 64.4057
Epoch [19/100], Total Loss: 66.3393
Epoch [20/100], Total Loss: 96.0157
======================16======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Epoch [21/100], Total Loss: 76.9998
Epoch [22/100], Total Loss: 57.6069
Epoch [23/100], Total Loss: 61.2926
Epoch [24/100], Total Loss: 54.0382
Epoch [25/100], Total Loss: 81.7655
Epoch [26/100], Total Loss: 47.6767
Epoch [27/100], Total Loss: 47.8161
Epoch [28/100], Total Loss: 47.8984
Epoch [29/100], Total Loss: 46.5307
Epoch [30/100], Total Loss: 28.7929
======================16======================
Validation Accuracy: 50.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [2, 0]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 30.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 0]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Epoch [31/100], Total Loss: 41.9646
Epoch [32/100], Total Loss: 50.2408
Epoch [33/100], Total Loss: 46.1498
Epoch [34/100], Total Loss: 56.5458
Epoch [35/100], Total Loss: 40.3226
Epoch [36/100], Total Loss: 31.7182
Epoch [37/100], Total Loss: 29.0654
Epoch [38/100], Total Loss: 43.6000
Epoch [39/100], Total Loss: 34.7281
Epoch [40/100], Total Loss: 23.9774
======================16======================
Validation Accuracy: 70.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 2]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 50.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 0]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2]
Ground Truths for masks_6: [2, 2]
Epoch [41/100], Total Loss: 37.3805
Epoch [42/100], Total Loss: 40.6064
Epoch [43/100], Total Loss: 40.0639
Epoch [44/100], Total Loss: 28.9957
Epoch [45/100], Total Loss: 26.0621
Epoch [46/100], Total Loss: 36.1422
Epoch [47/100], Total Loss: 32.3859
Epoch [48/100], Total Loss: 31.6844
Epoch [49/100], Total Loss: 38.9339
Epoch [50/100], Total Loss: 23.3753
======================16======================
Validation Accuracy: 50.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2]
Ground Truths for masks_6: [2, 2]
Epoch [51/100], Total Loss: 26.2199
Epoch [52/100], Total Loss: 27.3592
Epoch [53/100], Total Loss: 25.3569
Epoch [54/100], Total Loss: 28.7551
Epoch [55/100], Total Loss: 19.7871
Epoch [56/100], Total Loss: 12.5924
Epoch [57/100], Total Loss: 24.3860
Epoch [58/100], Total Loss: 18.7661
Epoch [59/100], Total Loss: 24.1109
Epoch [60/100], Total Loss: 23.3229
======================16======================
Validation Accuracy: 60.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 50.00%
Predictions for masks_4: [1, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 0.00%
Predictions for masks_1: [0, 1]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 50.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 50.00%
Predictions for masks_4: [2, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [0, 0]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2]
Ground Truths for masks_6: [2, 2]
Epoch [61/100], Total Loss: 22.5909
Epoch [62/100], Total Loss: 23.7949
Epoch [63/100], Total Loss: 25.4709
Epoch [64/100], Total Loss: 26.7961
Epoch [65/100], Total Loss: 28.2994
Epoch [66/100], Total Loss: 29.9906
Epoch [67/100], Total Loss: 23.7907
Epoch [68/100], Total Loss: 23.0225
Epoch [69/100], Total Loss: 11.9639
Epoch [70/100], Total Loss: 24.0137
======================16======================
Validation Accuracy: 60.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 50.00%
Predictions for masks_4: [1, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 0.00%
Predictions for masks_1: [0, 1]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 50.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 50.00%
Predictions for masks_4: [2, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [0, 0]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2]
Ground Truths for masks_6: [2, 2]
Epoch [71/100], Total Loss: 19.1096
Epoch [72/100], Total Loss: 23.2440
Epoch [73/100], Total Loss: 24.1907
Epoch [74/100], Total Loss: 22.8013
Epoch [75/100], Total Loss: 24.7671
Epoch [76/100], Total Loss: 14.1475
Epoch [77/100], Total Loss: 17.8940
Epoch [78/100], Total Loss: 19.2113
Epoch [79/100], Total Loss: 14.3388
Epoch [80/100], Total Loss: 18.8048
======================16======================
Validation Accuracy: 60.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 50.00%
Predictions for masks_4: [2, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 2]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 50.00%
Predictions for masks_1: [0, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 50.00%
Predictions for masks_4: [2, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 2]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [0, 1]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2]
Ground Truths for masks_6: [2, 2]
Epoch [81/100], Total Loss: 23.1067
Epoch [82/100], Total Loss: 25.2772
Epoch [83/100], Total Loss: 22.7034
Epoch [84/100], Total Loss: 18.8066
Epoch [85/100], Total Loss: 26.5634
Epoch [86/100], Total Loss: 15.0369
Epoch [87/100], Total Loss: 26.4846
Epoch [88/100], Total Loss: 22.9236
Epoch [89/100], Total Loss: 15.0702
Epoch [90/100], Total Loss: 12.7002
======================16======================
Validation Accuracy: 70.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 50.00%
Predictions for masks_4: [2, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 2]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 50.00%
Predictions for masks_4: [2, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 2]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [0, 1]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2]
Ground Truths for masks_6: [2, 2]
Epoch [91/100], Total Loss: 24.9252
Epoch [92/100], Total Loss: 25.4082
Epoch [93/100], Total Loss: 13.7450
Epoch [94/100], Total Loss: 29.4100
Epoch [95/100], Total Loss: 15.3521
Epoch [96/100], Total Loss: 16.5652
Epoch [97/100], Total Loss: 25.6749
Epoch [98/100], Total Loss: 21.1647
Epoch [99/100], Total Loss: 25.1434
Epoch [100/100], Total Loss: 16.0106
======================16======================
Validation Accuracy: 60.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 50.00%
Predictions for masks_4: [2, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 2]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 50.00%
Predictions for masks_1: [0, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 50.00%
Predictions for masks_4: [2, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 2]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [0, 1]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2]
Ground Truths for masks_6: [2, 2]
Epoch [1/100], Total Loss: 126.3559
Epoch [2/100], Total Loss: 128.8083
Epoch [3/100], Total Loss: 105.5775
Epoch [4/100], Total Loss: 96.5575
Epoch [5/100], Total Loss: 98.7178
Epoch [6/100], Total Loss: 103.8416
Epoch [7/100], Total Loss: 104.0824
Epoch [8/100], Total Loss: 101.9341
Epoch [9/100], Total Loss: 96.3831
Epoch [10/100], Total Loss: 92.8828
======================18======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 50.00%
Predictions for masks_4: [0, 2]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 0]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 50.00%
Predictions for masks_1: [0, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 0.00%
Predictions for masks_6: [0, 0]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 30.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 50.00%
Predictions for masks_4: [0, 2]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 0]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [0, 0]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 0.00%
Predictions for masks_6: [0, 0]
Ground Truths for masks_6: [2, 2]
Epoch [11/100], Total Loss: 96.0992
Epoch [12/100], Total Loss: 81.7466
Epoch [13/100], Total Loss: 84.5965
Epoch [14/100], Total Loss: 85.9308
Epoch [15/100], Total Loss: 69.2721
Epoch [16/100], Total Loss: 64.5077
Epoch [17/100], Total Loss: 68.9421
Epoch [18/100], Total Loss: 52.5378
Epoch [19/100], Total Loss: 69.1253
Epoch [20/100], Total Loss: 46.2548
======================18======================
Validation Accuracy: 70.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 0]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 50.00%
Predictions for masks_1: [0, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 60.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 0]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 0]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2]
Ground Truths for masks_6: [2, 2]
Epoch [21/100], Total Loss: 49.6235
Epoch [22/100], Total Loss: 59.7219
Epoch [23/100], Total Loss: 58.9069
Epoch [24/100], Total Loss: 39.8167
Epoch [25/100], Total Loss: 43.5732
Epoch [26/100], Total Loss: 55.5466
Epoch [27/100], Total Loss: 43.3198
Epoch [28/100], Total Loss: 62.2283
Epoch [29/100], Total Loss: 48.9951
Epoch [30/100], Total Loss: 40.4773
======================18======================
Validation Accuracy: 80.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 0]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 60.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 0]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2]
Ground Truths for masks_6: [2, 2]
Epoch [31/100], Total Loss: 38.0933
Epoch [32/100], Total Loss: 48.9968
Epoch [33/100], Total Loss: 47.1744
Epoch [34/100], Total Loss: 30.3038
Epoch [35/100], Total Loss: 36.0356
Epoch [36/100], Total Loss: 27.7907
Epoch [37/100], Total Loss: 30.6959
Epoch [38/100], Total Loss: 36.0761
Epoch [39/100], Total Loss: 48.9653
Epoch [40/100], Total Loss: 37.8756
======================18======================
Validation Accuracy: 70.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 0]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 60.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [2, 1]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2]
Ground Truths for masks_6: [2, 2]
Epoch [41/100], Total Loss: 31.0286
Epoch [42/100], Total Loss: 40.7881
Epoch [43/100], Total Loss: 33.5917
Epoch [44/100], Total Loss: 30.9281
Epoch [45/100], Total Loss: 32.6862
Epoch [46/100], Total Loss: 36.7004
Epoch [47/100], Total Loss: 37.7141
Epoch [48/100], Total Loss: 32.4056
Epoch [49/100], Total Loss: 32.2329
Epoch [50/100], Total Loss: 41.9359
======================18======================
Validation Accuracy: 60.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 0]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 0.00%
Predictions for masks_1: [0, 1]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 50.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 0]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [0, 0]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2]
Ground Truths for masks_6: [2, 2]
Epoch [51/100], Total Loss: 37.6897
Epoch [52/100], Total Loss: 25.3371
Epoch [53/100], Total Loss: 26.9633
Epoch [54/100], Total Loss: 31.6298
Epoch [55/100], Total Loss: 31.7095
Epoch [56/100], Total Loss: 34.9452
Epoch [57/100], Total Loss: 21.9263
Epoch [58/100], Total Loss: 28.1111
Epoch [59/100], Total Loss: 36.6096
Epoch [60/100], Total Loss: 33.7929
======================18======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 70.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 0]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [1, 2]
Ground Truths for masks_6: [2, 2]
Epoch [61/100], Total Loss: 24.3273
Epoch [62/100], Total Loss: 20.7237
Epoch [63/100], Total Loss: 34.6382
Epoch [64/100], Total Loss: 36.2083
Epoch [65/100], Total Loss: 36.1998
Epoch [66/100], Total Loss: 38.8907
Epoch [67/100], Total Loss: 33.5789
Epoch [68/100], Total Loss: 33.2284
Epoch [69/100], Total Loss: 31.8357
Epoch [70/100], Total Loss: 27.5781
======================18======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 80.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [1, 2]
Ground Truths for masks_6: [2, 2]
Epoch [71/100], Total Loss: 28.7778
Epoch [72/100], Total Loss: 23.0980
Epoch [73/100], Total Loss: 28.6715
Epoch [74/100], Total Loss: 29.8122
Epoch [75/100], Total Loss: 21.1175
Epoch [76/100], Total Loss: 42.3551
Epoch [77/100], Total Loss: 32.1423
Epoch [78/100], Total Loss: 26.9042
Epoch [79/100], Total Loss: 33.0235
Epoch [80/100], Total Loss: 28.3515
======================18======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 70.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 0]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [1, 2]
Ground Truths for masks_6: [2, 2]
Epoch [81/100], Total Loss: 26.0924
Epoch [82/100], Total Loss: 30.0938
Epoch [83/100], Total Loss: 34.5301
Epoch [84/100], Total Loss: 19.1680
Epoch [85/100], Total Loss: 24.6650
Epoch [86/100], Total Loss: 20.9670
Epoch [87/100], Total Loss: 21.6084
Epoch [88/100], Total Loss: 19.0713
Epoch [89/100], Total Loss: 37.9412
Epoch [90/100], Total Loss: 28.6332
======================18======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 80.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [1, 2]
Ground Truths for masks_6: [2, 2]
Epoch [91/100], Total Loss: 24.3960
Epoch [92/100], Total Loss: 27.9841
Epoch [93/100], Total Loss: 21.8203
Epoch [94/100], Total Loss: 28.9482
Epoch [95/100], Total Loss: 27.9553
Epoch [96/100], Total Loss: 26.1317
Epoch [97/100], Total Loss: 22.1941
Epoch [98/100], Total Loss: 23.1272
Epoch [99/100], Total Loss: 22.5277
Epoch [100/100], Total Loss: 29.3611
======================18======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 80.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [1, 2]
Ground Truths for masks_6: [2, 2]
Epoch [1/100], Total Loss: 116.5545
Epoch [2/100], Total Loss: 108.5221
Epoch [3/100], Total Loss: 100.8936
Epoch [4/100], Total Loss: 107.0037
Epoch [5/100], Total Loss: 89.1245
Epoch [6/100], Total Loss: 103.4002
Epoch [7/100], Total Loss: 88.3028
Epoch [8/100], Total Loss: 90.1000
Epoch [9/100], Total Loss: 69.0424
Epoch [10/100], Total Loss: 90.2290
======================20======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Epoch [11/100], Total Loss: 71.3767
Epoch [12/100], Total Loss: 78.9672
Epoch [13/100], Total Loss: 76.8733
Epoch [14/100], Total Loss: 62.1882
Epoch [15/100], Total Loss: 74.0721
Epoch [16/100], Total Loss: 57.5298
Epoch [17/100], Total Loss: 72.3197
Epoch [18/100], Total Loss: 64.2803
Epoch [19/100], Total Loss: 55.9651
Epoch [20/100], Total Loss: 45.0608
======================20======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Epoch [21/100], Total Loss: 54.3105
Epoch [22/100], Total Loss: 44.7457
Epoch [23/100], Total Loss: 54.2237
Epoch [24/100], Total Loss: 40.6007
Epoch [25/100], Total Loss: 38.0525
Epoch [26/100], Total Loss: 35.3755
Epoch [27/100], Total Loss: 43.0847
Epoch [28/100], Total Loss: 54.2520
Epoch [29/100], Total Loss: 44.7428
Epoch [30/100], Total Loss: 35.1987
======================20======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Epoch [31/100], Total Loss: 28.5361
Epoch [32/100], Total Loss: 43.9347
Epoch [33/100], Total Loss: 38.1788
Epoch [34/100], Total Loss: 45.6096
Epoch [35/100], Total Loss: 45.9274
Epoch [36/100], Total Loss: 41.7406
Epoch [37/100], Total Loss: 43.1659
Epoch [38/100], Total Loss: 26.5580
Epoch [39/100], Total Loss: 28.1156
Epoch [40/100], Total Loss: 22.8217
======================20======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Epoch [41/100], Total Loss: 26.0172
Epoch [42/100], Total Loss: 28.2149
Epoch [43/100], Total Loss: 33.8473
Epoch [44/100], Total Loss: 51.7740
Epoch [45/100], Total Loss: 32.2389
Epoch [46/100], Total Loss: 25.0080
Epoch [47/100], Total Loss: 26.6343
Epoch [48/100], Total Loss: 22.9674
Epoch [49/100], Total Loss: 42.8367
Epoch [50/100], Total Loss: 24.8397
======================20======================
Validation Accuracy: 50.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 50.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 2]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 1]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Epoch [51/100], Total Loss: 23.4841
Epoch [52/100], Total Loss: 32.1237
Epoch [53/100], Total Loss: 36.2058
Epoch [54/100], Total Loss: 16.3914
Epoch [55/100], Total Loss: 23.2645
Epoch [56/100], Total Loss: 20.2659
Epoch [57/100], Total Loss: 20.6192
Epoch [58/100], Total Loss: 26.3587
Epoch [59/100], Total Loss: 33.0090
Epoch [60/100], Total Loss: 30.8334
======================20======================
Validation Accuracy: 80.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 50.00%
Predictions for masks_4: [0, 1]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 60.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 50.00%
Predictions for masks_4: [1, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [1, 2]
Ground Truths for masks_6: [2, 2]
Epoch [61/100], Total Loss: 25.8055
Epoch [62/100], Total Loss: 23.7924
Epoch [63/100], Total Loss: 22.9842
Epoch [64/100], Total Loss: 28.2412
Epoch [65/100], Total Loss: 26.8073
Epoch [66/100], Total Loss: 23.8218
Epoch [67/100], Total Loss: 21.9794
Epoch [68/100], Total Loss: 28.6739
Epoch [69/100], Total Loss: 20.7033
Epoch [70/100], Total Loss: 30.2764
======================20======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 80.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [1, 2]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [1, 2]
Ground Truths for masks_6: [2, 2]
Epoch [71/100], Total Loss: 25.8737
Epoch [72/100], Total Loss: 25.5773
Epoch [73/100], Total Loss: 23.5378
Epoch [74/100], Total Loss: 30.0401
Epoch [75/100], Total Loss: 25.2158
Epoch [76/100], Total Loss: 17.8141
Epoch [77/100], Total Loss: 23.8954
Epoch [78/100], Total Loss: 17.6993
Epoch [79/100], Total Loss: 23.4435
Epoch [80/100], Total Loss: 18.5310
======================20======================
Validation Accuracy: 90.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 70.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 2]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [1, 2]
Ground Truths for masks_6: [2, 2]
Epoch [81/100], Total Loss: 21.8921
Epoch [82/100], Total Loss: 25.9439
Epoch [83/100], Total Loss: 16.1521
Epoch [84/100], Total Loss: 20.9721
Epoch [85/100], Total Loss: 20.7776
Epoch [86/100], Total Loss: 14.2145
Epoch [87/100], Total Loss: 25.7018
Epoch [88/100], Total Loss: 26.3588
Epoch [89/100], Total Loss: 23.6682
Epoch [90/100], Total Loss: 17.4943
======================20======================
Validation Accuracy: 100.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 70.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 2]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [1, 2]
Ground Truths for masks_6: [2, 2]
Epoch [91/100], Total Loss: 33.5163
Epoch [92/100], Total Loss: 18.1828
Epoch [93/100], Total Loss: 17.4289
Epoch [94/100], Total Loss: 15.2749
Epoch [95/100], Total Loss: 34.7098
Epoch [96/100], Total Loss: 27.9912
Epoch [97/100], Total Loss: 15.3301
Epoch [98/100], Total Loss: 18.9257
Epoch [99/100], Total Loss: 24.1205
Epoch [100/100], Total Loss: 28.7656
======================20======================
Validation Accuracy: 100.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 70.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 2]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [1, 2]
Ground Truths for masks_6: [2, 2]
Epoch [1/100], Total Loss: 108.6127
Epoch [2/100], Total Loss: 118.6466
Epoch [3/100], Total Loss: 118.7225
Epoch [4/100], Total Loss: 97.0080
Epoch [5/100], Total Loss: 97.9581
Epoch [6/100], Total Loss: 98.5461
Epoch [7/100], Total Loss: 110.0811
Epoch [8/100], Total Loss: 92.4146
Epoch [9/100], Total Loss: 104.1819
Epoch [10/100], Total Loss: 93.3143
======================22======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Epoch [11/100], Total Loss: 125.2619
Epoch [12/100], Total Loss: 105.7877
Epoch [13/100], Total Loss: 94.2014
Epoch [14/100], Total Loss: 75.0575
Epoch [15/100], Total Loss: 82.3365
Epoch [16/100], Total Loss: 71.8757
Epoch [17/100], Total Loss: 61.7963
Epoch [18/100], Total Loss: 73.7258
Epoch [19/100], Total Loss: 97.5348
Epoch [20/100], Total Loss: 65.2498
======================22======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 0]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 0.00%
Predictions for masks_1: [0, 0]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 0.00%
Predictions for masks_6: [0, 0]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 50.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 0]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [0, 0]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [0, 2]
Ground Truths for masks_6: [2, 2]
Epoch [21/100], Total Loss: 60.4550
Epoch [22/100], Total Loss: 55.6384
Epoch [23/100], Total Loss: 63.9625
Epoch [24/100], Total Loss: 56.1549
Epoch [25/100], Total Loss: 52.3748
Epoch [26/100], Total Loss: 42.3623
Epoch [27/100], Total Loss: 42.5448
Epoch [28/100], Total Loss: 46.2517
Epoch [29/100], Total Loss: 43.0244
Epoch [30/100], Total Loss: 36.6636
======================22======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 0]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 0.00%
Predictions for masks_1: [0, 0]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 0.00%
Predictions for masks_6: [0, 0]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 0]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [0, 0]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 0.00%
Predictions for masks_6: [0, 0]
Ground Truths for masks_6: [2, 2]
Epoch [31/100], Total Loss: 46.0992
Epoch [32/100], Total Loss: 38.5309
Epoch [33/100], Total Loss: 34.3365
Epoch [34/100], Total Loss: 33.0595
Epoch [35/100], Total Loss: 29.0847
Epoch [36/100], Total Loss: 41.0322
Epoch [37/100], Total Loss: 47.7119
Epoch [38/100], Total Loss: 37.9061
Epoch [39/100], Total Loss: 34.1907
Epoch [40/100], Total Loss: 42.5647
======================22======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 0]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 0.00%
Predictions for masks_1: [1, 1]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 0.00%
Predictions for masks_6: [1, 0]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 30.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 50.00%
Predictions for masks_4: [1, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 0]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [1, 0]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 0.00%
Predictions for masks_6: [0, 0]
Ground Truths for masks_6: [2, 2]
Epoch [41/100], Total Loss: 33.9643
Epoch [42/100], Total Loss: 38.9116
Epoch [43/100], Total Loss: 32.8643
Epoch [44/100], Total Loss: 19.8708
Epoch [45/100], Total Loss: 34.0138
Epoch [46/100], Total Loss: 43.9072
Epoch [47/100], Total Loss: 32.4209
Epoch [48/100], Total Loss: 40.8214
Epoch [49/100], Total Loss: 24.6557
Epoch [50/100], Total Loss: 25.6382
======================22======================
Validation Accuracy: 30.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 0.00%
Predictions for masks_1: [1, 1]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 0.00%
Predictions for masks_6: [1, 1]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 20.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [1, 1]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 0.00%
Predictions for masks_6: [0, 0]
Ground Truths for masks_6: [2, 2]
Epoch [51/100], Total Loss: 25.5198
Epoch [52/100], Total Loss: 28.7697
Epoch [53/100], Total Loss: 30.9402
Epoch [54/100], Total Loss: 26.8883
Epoch [55/100], Total Loss: 25.7674
Epoch [56/100], Total Loss: 33.3178
Epoch [57/100], Total Loss: 27.1317
Epoch [58/100], Total Loss: 26.1930
Epoch [59/100], Total Loss: 26.9387
Epoch [60/100], Total Loss: 37.2402
======================22======================
Validation Accuracy: 20.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [1, 1]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 0.00%
Predictions for masks_1: [1, 1]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 0.00%
Predictions for masks_6: [1, 1]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 20.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [1, 1]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 0.00%
Predictions for masks_6: [1, 1]
Ground Truths for masks_6: [2, 2]
Epoch [61/100], Total Loss: 22.7179
Epoch [62/100], Total Loss: 47.1715
Epoch [63/100], Total Loss: 25.0172
Epoch [64/100], Total Loss: 38.8796
Epoch [65/100], Total Loss: 39.5425
Epoch [66/100], Total Loss: 31.5007
Epoch [67/100], Total Loss: 19.0363
Epoch [68/100], Total Loss: 30.5356
Epoch [69/100], Total Loss: 16.9734
Epoch [70/100], Total Loss: 33.9349
======================22======================
Validation Accuracy: 20.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [1, 1]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 0.00%
Predictions for masks_1: [1, 1]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 0.00%
Predictions for masks_6: [1, 1]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 10.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [1, 1]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [1, 1]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 0.00%
Predictions for masks_6: [1, 1]
Ground Truths for masks_6: [2, 2]
Epoch [71/100], Total Loss: 35.7352
Epoch [72/100], Total Loss: 31.4857
Epoch [73/100], Total Loss: 26.7889
Epoch [74/100], Total Loss: 27.5368
Epoch [75/100], Total Loss: 28.6715
Epoch [76/100], Total Loss: 24.4258
Epoch [77/100], Total Loss: 21.4720
Epoch [78/100], Total Loss: 30.2871
Epoch [79/100], Total Loss: 19.5077
Epoch [80/100], Total Loss: 30.3548
======================22======================
Validation Accuracy: 20.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [1, 1]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 0.00%
Predictions for masks_1: [1, 1]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 0.00%
Predictions for masks_6: [1, 1]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 10.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [1, 1]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [1, 1]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 0.00%
Predictions for masks_6: [1, 1]
Ground Truths for masks_6: [2, 2]
Epoch [81/100], Total Loss: 30.7916
Epoch [82/100], Total Loss: 20.0442
Epoch [83/100], Total Loss: 20.3354
Epoch [84/100], Total Loss: 30.6148
Epoch [85/100], Total Loss: 25.1996
Epoch [86/100], Total Loss: 25.9693
Epoch [87/100], Total Loss: 35.6358
Epoch [88/100], Total Loss: 23.3523
Epoch [89/100], Total Loss: 23.4394
Epoch [90/100], Total Loss: 22.2838
======================22======================
Validation Accuracy: 20.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [1, 1]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 0.00%
Predictions for masks_1: [1, 1]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 0.00%
Predictions for masks_6: [1, 1]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 10.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [1, 1]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [1, 1]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 0.00%
Predictions for masks_6: [1, 1]
Ground Truths for masks_6: [2, 2]
Epoch [91/100], Total Loss: 29.6512
Epoch [92/100], Total Loss: 31.1003
Epoch [93/100], Total Loss: 23.1673
Epoch [94/100], Total Loss: 24.6371
Epoch [95/100], Total Loss: 25.4635
Epoch [96/100], Total Loss: 22.2208
Epoch [97/100], Total Loss: 33.9253
Epoch [98/100], Total Loss: 32.8683
Epoch [99/100], Total Loss: 30.8948
Epoch [100/100], Total Loss: 27.2557
======================22======================
Validation Accuracy: 20.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [1, 1]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 0.00%
Predictions for masks_1: [1, 1]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 0.00%
Predictions for masks_6: [1, 1]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 10.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [1, 1]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [1, 1]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 0.00%
Predictions for masks_6: [1, 1]
Ground Truths for masks_6: [2, 2]
Epoch [1/100], Total Loss: 113.1018
Epoch [2/100], Total Loss: 107.0354
Epoch [3/100], Total Loss: 104.9343
Epoch [4/100], Total Loss: 114.7281
Epoch [5/100], Total Loss: 110.8546
Epoch [6/100], Total Loss: 123.7907
Epoch [7/100], Total Loss: 97.9303
Epoch [8/100], Total Loss: 95.9597
Epoch [9/100], Total Loss: 121.6820
Epoch [10/100], Total Loss: 86.6760
======================24======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 0.00%
Predictions for masks_3: [2, 2]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [2, 2]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Epoch [11/100], Total Loss: 93.1794
Epoch [12/100], Total Loss: 96.5976
Epoch [13/100], Total Loss: 90.3347
Epoch [14/100], Total Loss: 95.7560
Epoch [15/100], Total Loss: 84.8639
Epoch [16/100], Total Loss: 67.2513
Epoch [17/100], Total Loss: 61.6983
Epoch [18/100], Total Loss: 55.3487
Epoch [19/100], Total Loss: 63.9562
Epoch [20/100], Total Loss: 69.2487
======================24======================
Validation Accuracy: 60.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [2, 0]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 50.00%
Predictions for masks_4: [0, 2]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 0]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 60.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [2, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 50.00%
Predictions for masks_4: [0, 2]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [2, 2]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 100.00%
Predictions for masks_1: [2, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 100.00%
Predictions for masks_6: [2, 2]
Ground Truths for masks_6: [2, 2]
Epoch [21/100], Total Loss: 62.0603
Epoch [22/100], Total Loss: 41.8556
Epoch [23/100], Total Loss: 45.6801
Epoch [24/100], Total Loss: 64.4206
Epoch [25/100], Total Loss: 48.1791
Epoch [26/100], Total Loss: 42.6711
Epoch [27/100], Total Loss: 38.5234
Epoch [28/100], Total Loss: 52.4000
Epoch [29/100], Total Loss: 53.1656
Epoch [30/100], Total Loss: 41.6822
======================24======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 0]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 0.00%
Predictions for masks_1: [0, 0]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 0.00%
Predictions for masks_6: [0, 0]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 0]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [0, 0]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 0.00%
Predictions for masks_6: [0, 0]
Ground Truths for masks_6: [2, 2]
Epoch [31/100], Total Loss: 52.4459
Epoch [32/100], Total Loss: 42.7925
Epoch [33/100], Total Loss: 31.7723
Epoch [34/100], Total Loss: 47.2630
Epoch [35/100], Total Loss: 43.5354
Epoch [36/100], Total Loss: 39.8209
Epoch [37/100], Total Loss: 38.1452
Epoch [38/100], Total Loss: 32.7149
Epoch [39/100], Total Loss: 28.6910
Epoch [40/100], Total Loss: 45.4131
======================24======================
Validation Accuracy: 60.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 0]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 50.00%
Predictions for masks_1: [0, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [2, 0]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 0]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [0, 0]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 0.00%
Predictions for masks_6: [0, 0]
Ground Truths for masks_6: [2, 2]
Epoch [41/100], Total Loss: 29.8499
Epoch [42/100], Total Loss: 27.7223
Epoch [43/100], Total Loss: 32.9600
Epoch [44/100], Total Loss: 35.0499
Epoch [45/100], Total Loss: 33.0943
Epoch [46/100], Total Loss: 32.0902
Epoch [47/100], Total Loss: 31.4782
Epoch [48/100], Total Loss: 29.2939
Epoch [49/100], Total Loss: 31.8299
Epoch [50/100], Total Loss: 28.1570
======================24======================
Validation Accuracy: 60.00%
Validation Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 0]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 50.00%
Predictions for masks_1: [1, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [2, 0]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 100.00%
Predictions for masks_3: [0, 0]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 100.00%
Predictions for masks_4: [0, 0]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 0.00%
Predictions for masks_2: [0, 0]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 0.00%
Predictions for masks_1: [1, 0]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 0.00%
Predictions for masks_6: [0, 0]
Ground Truths for masks_6: [2, 2]
Epoch [51/100], Total Loss: 35.0180
Epoch [52/100], Total Loss: 28.1583
Epoch [53/100], Total Loss: 38.4769
Epoch [54/100], Total Loss: 27.4836
Epoch [55/100], Total Loss: 43.8087
Epoch [56/100], Total Loss: 32.3575
Epoch [57/100], Total Loss: 24.9770
Epoch [58/100], Total Loss: 28.5712
Epoch [59/100], Total Loss: 28.3262
Epoch [60/100], Total Loss: 30.1217
======================24======================
Validation Accuracy: 50.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 50.00%
Predictions for masks_1: [1, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [2, 1]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [1, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [2, 1]
Ground Truths for masks_6: [2, 2]
Epoch [61/100], Total Loss: 31.6487
Epoch [62/100], Total Loss: 45.7054
Epoch [63/100], Total Loss: 32.1431
Epoch [64/100], Total Loss: 33.1037
Epoch [65/100], Total Loss: 25.7758
Epoch [66/100], Total Loss: 26.0906
Epoch [67/100], Total Loss: 26.8681
Epoch [68/100], Total Loss: 31.2307
Epoch [69/100], Total Loss: 28.1047
Epoch [70/100], Total Loss: 35.8294
======================24======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 50.00%
Predictions for masks_1: [1, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [2, 1]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [1, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [2, 1]
Ground Truths for masks_6: [2, 2]
Epoch [71/100], Total Loss: 30.5807
Epoch [72/100], Total Loss: 26.6901
Epoch [73/100], Total Loss: 25.8590
Epoch [74/100], Total Loss: 23.1036
Epoch [75/100], Total Loss: 22.0007
Epoch [76/100], Total Loss: 35.4814
Epoch [77/100], Total Loss: 25.5205
Epoch [78/100], Total Loss: 24.5299
Epoch [79/100], Total Loss: 20.6136
Epoch [80/100], Total Loss: 28.4000
======================24======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 50.00%
Predictions for masks_1: [1, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [2, 1]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [1, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [2, 1]
Ground Truths for masks_6: [2, 2]
Epoch [81/100], Total Loss: 24.1399
Epoch [82/100], Total Loss: 34.2238
Epoch [83/100], Total Loss: 28.1161
Epoch [84/100], Total Loss: 28.0693
Epoch [85/100], Total Loss: 31.1627
Epoch [86/100], Total Loss: 22.0842
Epoch [87/100], Total Loss: 29.6627
Epoch [88/100], Total Loss: 18.3913
Epoch [89/100], Total Loss: 30.2816
Epoch [90/100], Total Loss: 33.0060
======================24======================
Validation Accuracy: 40.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 50.00%
Predictions for masks_2: [2, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 50.00%
Predictions for masks_1: [1, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [2, 1]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [1, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [2, 1]
Ground Truths for masks_6: [2, 2]
Epoch [91/100], Total Loss: 23.5225
Epoch [92/100], Total Loss: 28.2269
Epoch [93/100], Total Loss: 24.0431
Epoch [94/100], Total Loss: 20.6366
Epoch [95/100], Total Loss: 33.2661
Epoch [96/100], Total Loss: 24.3986
Epoch [97/100], Total Loss: 29.1484
Epoch [98/100], Total Loss: 25.1497
Epoch [99/100], Total Loss: 26.9631
Epoch [100/100], Total Loss: 35.6467
======================24======================
Validation Accuracy: 60.00%
Validation Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Validation Accuracy for masks_4: 50.00%
Predictions for masks_4: [1, 0]
Ground Truths for masks_4: [0, 0]
Validation Accuracy for masks_2: 100.00%
Predictions for masks_2: [1, 1]
Ground Truths for masks_2: [1, 1]
Validation Accuracy for masks_1: 50.00%
Predictions for masks_1: [1, 2]
Ground Truths for masks_1: [2, 2]
Validation Accuracy for masks_6: 50.00%
Predictions for masks_6: [2, 1]
Ground Truths for masks_6: [2, 2]
Test Accuracy: 40.00%
Test Accuracy for masks_3: 50.00%
Predictions for masks_3: [0, 1]
Ground Truths for masks_3: [0, 0]
Test Accuracy for masks_4: 0.00%
Predictions for masks_4: [1, 1]
Ground Truths for masks_4: [0, 0]
Test Accuracy for masks_2: 50.00%
Predictions for masks_2: [0, 1]
Ground Truths for masks_2: [1, 1]
Test Accuracy for masks_1: 50.00%
Predictions for masks_1: [1, 2]
Ground Truths for masks_1: [2, 2]
Test Accuracy for masks_6: 50.00%
Predictions for masks_6: [2, 1]
Ground Truths for masks_6: [2, 2]
wandb: 🚀 View run faithful-deluge-170 at: https://wandb.ai/cmu-vlr/sequence-viscosity-classification/runs/pzl0tgpg
wandb: Find logs at: wandb/run-20241207_012211-pzl0tgpg/logs