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gpu-grad-01-138.out
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ERROR: Unable to locate a modulefile for 'cuda/12.3'
Using downloaded and verified file: /home/2024/kzhang69/.medmnist/organamnist_128.npz
Using downloaded and verified file: /home/2024/kzhang69/.medmnist/organamnist_128.npz
Using downloaded and verified file: /home/2024/kzhang69/.medmnist/organamnist_128.npz
Training with params: conv1_channels=64, conv2_channels=128, fc_neurons=256, pool_kernel=2, pool_stride=2
=================================================
Config (64, 128, 256, 2, 2) - Epoch [1/70], Training Loss: 0.5405
Config (64, 128, 256, 2, 2) - Epoch [1/70], Validation Loss: 0.6077
Config (64, 128, 256, 2, 2) - Epoch [2/70], Training Loss: 0.3227
Config (64, 128, 256, 2, 2) - Epoch [2/70], Validation Loss: 0.2002
Config (64, 128, 256, 2, 2) - Epoch [3/70], Training Loss: 0.2368
Config (64, 128, 256, 2, 2) - Epoch [3/70], Validation Loss: 0.1005
Config (64, 128, 256, 2, 2) - Epoch [4/70], Training Loss: 0.1849
Config (64, 128, 256, 2, 2) - Epoch [4/70], Validation Loss: 0.1204
Config (64, 128, 256, 2, 2) - Epoch [5/70], Training Loss: 0.1473
Config (64, 128, 256, 2, 2) - Epoch [5/70], Validation Loss: 0.1704
Config (64, 128, 256, 2, 2) - Epoch [6/70], Training Loss: 0.1725
Config (64, 128, 256, 2, 2) - Epoch [6/70], Validation Loss: 0.2070
Config (64, 128, 256, 2, 2) - Early stopping after 6 epochs.
=================================================
Training with params: conv1_channels=64, conv2_channels=128, fc_neurons=256, pool_kernel=2, pool_stride=3
=================================================
Config (64, 128, 256, 2, 3) - Epoch [1/70], Training Loss: 0.5029
Config (64, 128, 256, 2, 3) - Epoch [1/70], Validation Loss: 0.2182
Config (64, 128, 256, 2, 3) - Epoch [2/70], Training Loss: 0.2346
Config (64, 128, 256, 2, 3) - Epoch [2/70], Validation Loss: 0.1726
Config (64, 128, 256, 2, 3) - Epoch [3/70], Training Loss: 0.1684
Config (64, 128, 256, 2, 3) - Epoch [3/70], Validation Loss: 0.1346
Config (64, 128, 256, 2, 3) - Epoch [4/70], Training Loss: 0.1418
Config (64, 128, 256, 2, 3) - Epoch [4/70], Validation Loss: 0.1506
Config (64, 128, 256, 2, 3) - Epoch [5/70], Training Loss: 0.1093
Config (64, 128, 256, 2, 3) - Epoch [5/70], Validation Loss: 0.1135
Config (64, 128, 256, 2, 3) - Epoch [6/70], Training Loss: 0.1048
Config (64, 128, 256, 2, 3) - Epoch [6/70], Validation Loss: 0.1481
Config (64, 128, 256, 2, 3) - Epoch [7/70], Training Loss: 0.0813
Config (64, 128, 256, 2, 3) - Epoch [7/70], Validation Loss: 0.1296
Config (64, 128, 256, 2, 3) - Epoch [8/70], Training Loss: 0.0715
Config (64, 128, 256, 2, 3) - Epoch [8/70], Validation Loss: 0.1485
Config (64, 128, 256, 2, 3) - Early stopping after 8 epochs.
=================================================
Training with params: conv1_channels=64, conv2_channels=128, fc_neurons=256, pool_kernel=3, pool_stride=2
=================================================
Config (64, 128, 256, 3, 2) - Epoch [1/70], Training Loss: 0.5450
Config (64, 128, 256, 3, 2) - Epoch [1/70], Validation Loss: 0.2205
Config (64, 128, 256, 3, 2) - Epoch [2/70], Training Loss: 0.2946
Config (64, 128, 256, 3, 2) - Epoch [2/70], Validation Loss: 0.1410
Config (64, 128, 256, 3, 2) - Epoch [3/70], Training Loss: 0.2315
Config (64, 128, 256, 3, 2) - Epoch [3/70], Validation Loss: 0.1937
Config (64, 128, 256, 3, 2) - Epoch [4/70], Training Loss: 0.2100
Config (64, 128, 256, 3, 2) - Epoch [4/70], Validation Loss: 0.1114
Config (64, 128, 256, 3, 2) - Epoch [5/70], Training Loss: 0.1521
Config (64, 128, 256, 3, 2) - Epoch [5/70], Validation Loss: 0.1204
Config (64, 128, 256, 3, 2) - Epoch [6/70], Training Loss: 0.1519
Config (64, 128, 256, 3, 2) - Epoch [6/70], Validation Loss: 0.1206
Config (64, 128, 256, 3, 2) - Epoch [7/70], Training Loss: 0.1127
Config (64, 128, 256, 3, 2) - Epoch [7/70], Validation Loss: 0.1092
Config (64, 128, 256, 3, 2) - Epoch [8/70], Training Loss: 0.1031
Config (64, 128, 256, 3, 2) - Epoch [8/70], Validation Loss: 0.0979
Config (64, 128, 256, 3, 2) - Epoch [9/70], Training Loss: 0.0922
Config (64, 128, 256, 3, 2) - Epoch [9/70], Validation Loss: 0.0986
Config (64, 128, 256, 3, 2) - Epoch [10/70], Training Loss: 0.0831
Config (64, 128, 256, 3, 2) - Epoch [10/70], Validation Loss: 0.1187
Config (64, 128, 256, 3, 2) - Epoch [11/70], Training Loss: 0.0746
Config (64, 128, 256, 3, 2) - Epoch [11/70], Validation Loss: 0.0961
Config (64, 128, 256, 3, 2) - Epoch [12/70], Training Loss: 0.0810
Config (64, 128, 256, 3, 2) - Epoch [12/70], Validation Loss: 0.1177
Config (64, 128, 256, 3, 2) - Epoch [13/70], Training Loss: 0.0664
Config (64, 128, 256, 3, 2) - Epoch [13/70], Validation Loss: 0.1254
Config (64, 128, 256, 3, 2) - Epoch [14/70], Training Loss: 0.0622
Config (64, 128, 256, 3, 2) - Epoch [14/70], Validation Loss: 0.1509
Config (64, 128, 256, 3, 2) - Early stopping after 14 epochs.
=================================================
Training with params: conv1_channels=64, conv2_channels=128, fc_neurons=256, pool_kernel=3, pool_stride=3
=================================================
Config (64, 128, 256, 3, 3) - Epoch [1/70], Training Loss: 0.4958
Config (64, 128, 256, 3, 3) - Epoch [1/70], Validation Loss: 0.1829
Config (64, 128, 256, 3, 3) - Epoch [2/70], Training Loss: 0.2545
Config (64, 128, 256, 3, 3) - Epoch [2/70], Validation Loss: 0.1458
Config (64, 128, 256, 3, 3) - Epoch [3/70], Training Loss: 0.1747
Config (64, 128, 256, 3, 3) - Epoch [3/70], Validation Loss: 0.0935
Config (64, 128, 256, 3, 3) - Epoch [4/70], Training Loss: 0.1380
Config (64, 128, 256, 3, 3) - Epoch [4/70], Validation Loss: 0.1171
Config (64, 128, 256, 3, 3) - Epoch [5/70], Training Loss: 0.1777
Config (64, 128, 256, 3, 3) - Epoch [5/70], Validation Loss: 0.1414
Config (64, 128, 256, 3, 3) - Epoch [6/70], Training Loss: 0.1572
Config (64, 128, 256, 3, 3) - Epoch [6/70], Validation Loss: 0.1250
Config (64, 128, 256, 3, 3) - Early stopping after 6 epochs.
=================================================
Training with params: conv1_channels=64, conv2_channels=128, fc_neurons=512, pool_kernel=2, pool_stride=2
=================================================
Config (64, 128, 512, 2, 2) - Epoch [1/70], Training Loss: 0.4968
Config (64, 128, 512, 2, 2) - Epoch [1/70], Validation Loss: 0.1731
Config (64, 128, 512, 2, 2) - Epoch [2/70], Training Loss: 0.2346
Config (64, 128, 512, 2, 2) - Epoch [2/70], Validation Loss: 0.1128
Config (64, 128, 512, 2, 2) - Epoch [3/70], Training Loss: 0.1537
Config (64, 128, 512, 2, 2) - Epoch [3/70], Validation Loss: 0.0947
Config (64, 128, 512, 2, 2) - Epoch [4/70], Training Loss: 0.1164
Config (64, 128, 512, 2, 2) - Epoch [4/70], Validation Loss: 0.0861
Config (64, 128, 512, 2, 2) - Epoch [5/70], Training Loss: 0.0957
Config (64, 128, 512, 2, 2) - Epoch [5/70], Validation Loss: 0.1072
Config (64, 128, 512, 2, 2) - Epoch [6/70], Training Loss: 0.0818
Config (64, 128, 512, 2, 2) - Epoch [6/70], Validation Loss: 0.0784
Config (64, 128, 512, 2, 2) - Epoch [7/70], Training Loss: 0.0663
Config (64, 128, 512, 2, 2) - Epoch [7/70], Validation Loss: 0.0860
Config (64, 128, 512, 2, 2) - Epoch [8/70], Training Loss: 0.0811
Config (64, 128, 512, 2, 2) - Epoch [8/70], Validation Loss: 0.1009
Config (64, 128, 512, 2, 2) - Epoch [9/70], Training Loss: 0.0504
Config (64, 128, 512, 2, 2) - Epoch [9/70], Validation Loss: 0.1020
Config (64, 128, 512, 2, 2) - Early stopping after 9 epochs.
=================================================
Training with params: conv1_channels=64, conv2_channels=128, fc_neurons=512, pool_kernel=2, pool_stride=3
=================================================
Config (64, 128, 512, 2, 3) - Epoch [1/70], Training Loss: 0.4546
Config (64, 128, 512, 2, 3) - Epoch [1/70], Validation Loss: 0.1733
Config (64, 128, 512, 2, 3) - Epoch [2/70], Training Loss: 0.2025
Config (64, 128, 512, 2, 3) - Epoch [2/70], Validation Loss: 0.1304
Config (64, 128, 512, 2, 3) - Epoch [3/70], Training Loss: 0.1381
Config (64, 128, 512, 2, 3) - Epoch [3/70], Validation Loss: 0.1173
Config (64, 128, 512, 2, 3) - Epoch [4/70], Training Loss: 0.1354
Config (64, 128, 512, 2, 3) - Epoch [4/70], Validation Loss: 0.1130
Config (64, 128, 512, 2, 3) - Epoch [5/70], Training Loss: 0.0902
Config (64, 128, 512, 2, 3) - Epoch [5/70], Validation Loss: 0.1246
Config (64, 128, 512, 2, 3) - Epoch [6/70], Training Loss: 0.0903
Config (64, 128, 512, 2, 3) - Epoch [6/70], Validation Loss: 0.0965
Config (64, 128, 512, 2, 3) - Epoch [7/70], Training Loss: 0.1071
Config (64, 128, 512, 2, 3) - Epoch [7/70], Validation Loss: 0.1005
Config (64, 128, 512, 2, 3) - Epoch [8/70], Training Loss: 0.0824
Config (64, 128, 512, 2, 3) - Epoch [8/70], Validation Loss: 0.1153
Config (64, 128, 512, 2, 3) - Epoch [9/70], Training Loss: 0.0597
Config (64, 128, 512, 2, 3) - Epoch [9/70], Validation Loss: 0.1135
Config (64, 128, 512, 2, 3) - Early stopping after 9 epochs.
=================================================
Training with params: conv1_channels=64, conv2_channels=128, fc_neurons=512, pool_kernel=3, pool_stride=2
=================================================
Config (64, 128, 512, 3, 2) - Epoch [1/70], Training Loss: 0.4558
Config (64, 128, 512, 3, 2) - Epoch [1/70], Validation Loss: 0.1674
Config (64, 128, 512, 3, 2) - Epoch [2/70], Training Loss: 0.2288
Config (64, 128, 512, 3, 2) - Epoch [2/70], Validation Loss: 0.0975
Config (64, 128, 512, 3, 2) - Epoch [3/70], Training Loss: 0.1640
Config (64, 128, 512, 3, 2) - Epoch [3/70], Validation Loss: 0.3692
Config (64, 128, 512, 3, 2) - Epoch [4/70], Training Loss: 0.1694
Config (64, 128, 512, 3, 2) - Epoch [4/70], Validation Loss: 0.1141
Config (64, 128, 512, 3, 2) - Epoch [5/70], Training Loss: 0.1372
Config (64, 128, 512, 3, 2) - Epoch [5/70], Validation Loss: 0.1011
Config (64, 128, 512, 3, 2) - Early stopping after 5 epochs.
=================================================
Training with params: conv1_channels=64, conv2_channels=128, fc_neurons=512, pool_kernel=3, pool_stride=3
=================================================
Config (64, 128, 512, 3, 3) - Epoch [1/70], Training Loss: 0.4480
Config (64, 128, 512, 3, 3) - Epoch [1/70], Validation Loss: 0.1532
Config (64, 128, 512, 3, 3) - Epoch [2/70], Training Loss: 0.1915
Config (64, 128, 512, 3, 3) - Epoch [2/70], Validation Loss: 0.1117
Config (64, 128, 512, 3, 3) - Epoch [3/70], Training Loss: 0.1403
Config (64, 128, 512, 3, 3) - Epoch [3/70], Validation Loss: 0.1271
Config (64, 128, 512, 3, 3) - Epoch [4/70], Training Loss: 0.1496
Config (64, 128, 512, 3, 3) - Epoch [4/70], Validation Loss: 0.1185
Config (64, 128, 512, 3, 3) - Epoch [5/70], Training Loss: 0.0882
Config (64, 128, 512, 3, 3) - Epoch [5/70], Validation Loss: 0.1115
Config (64, 128, 512, 3, 3) - Epoch [6/70], Training Loss: 0.0874
Config (64, 128, 512, 3, 3) - Epoch [6/70], Validation Loss: 0.1430
Config (64, 128, 512, 3, 3) - Epoch [7/70], Training Loss: 0.1165
Config (64, 128, 512, 3, 3) - Epoch [7/70], Validation Loss: 0.0867
Config (64, 128, 512, 3, 3) - Epoch [8/70], Training Loss: 0.0613
Config (64, 128, 512, 3, 3) - Epoch [8/70], Validation Loss: 0.1354
Config (64, 128, 512, 3, 3) - Epoch [9/70], Training Loss: 0.0742
Config (64, 128, 512, 3, 3) - Epoch [9/70], Validation Loss: 0.1089
Config (64, 128, 512, 3, 3) - Epoch [10/70], Training Loss: 0.1075
Config (64, 128, 512, 3, 3) - Epoch [10/70], Validation Loss: 0.1312
Config (64, 128, 512, 3, 3) - Early stopping after 10 epochs.
=================================================
Training with params: conv1_channels=64, conv2_channels=256, fc_neurons=256, pool_kernel=2, pool_stride=2
=================================================
Config (64, 256, 256, 2, 2) - Epoch [1/70], Training Loss: 0.4465
Config (64, 256, 256, 2, 2) - Epoch [1/70], Validation Loss: 0.1904
Config (64, 256, 256, 2, 2) - Epoch [2/70], Training Loss: 0.2027
Config (64, 256, 256, 2, 2) - Epoch [2/70], Validation Loss: 0.1670
Config (64, 256, 256, 2, 2) - Epoch [3/70], Training Loss: 0.1552
Config (64, 256, 256, 2, 2) - Epoch [3/70], Validation Loss: 0.1632
Config (64, 256, 256, 2, 2) - Epoch [4/70], Training Loss: 0.1508
Config (64, 256, 256, 2, 2) - Epoch [4/70], Validation Loss: 0.1759
Config (64, 256, 256, 2, 2) - Epoch [5/70], Training Loss: 0.1470
Config (64, 256, 256, 2, 2) - Epoch [5/70], Validation Loss: 0.1274
Config (64, 256, 256, 2, 2) - Epoch [6/70], Training Loss: 0.0872
Config (64, 256, 256, 2, 2) - Epoch [6/70], Validation Loss: 0.1437
Config (64, 256, 256, 2, 2) - Epoch [7/70], Training Loss: 0.0689
Config (64, 256, 256, 2, 2) - Epoch [7/70], Validation Loss: 0.1376
Config (64, 256, 256, 2, 2) - Epoch [8/70], Training Loss: 0.0767
Config (64, 256, 256, 2, 2) - Epoch [8/70], Validation Loss: 0.1579
Config (64, 256, 256, 2, 2) - Early stopping after 8 epochs.
=================================================
Training with params: conv1_channels=64, conv2_channels=256, fc_neurons=256, pool_kernel=2, pool_stride=3
=================================================
Config (64, 256, 256, 2, 3) - Epoch [1/70], Training Loss: 0.4285
Config (64, 256, 256, 2, 3) - Epoch [1/70], Validation Loss: 0.1793
Config (64, 256, 256, 2, 3) - Epoch [2/70], Training Loss: 0.1969
Config (64, 256, 256, 2, 3) - Epoch [2/70], Validation Loss: 0.1612
Config (64, 256, 256, 2, 3) - Epoch [3/70], Training Loss: 0.1730
Config (64, 256, 256, 2, 3) - Epoch [3/70], Validation Loss: 0.1376
Config (64, 256, 256, 2, 3) - Epoch [4/70], Training Loss: 0.1103
Config (64, 256, 256, 2, 3) - Epoch [4/70], Validation Loss: 0.1958
Config (64, 256, 256, 2, 3) - Epoch [5/70], Training Loss: 0.1243
Config (64, 256, 256, 2, 3) - Epoch [5/70], Validation Loss: 0.1235
Config (64, 256, 256, 2, 3) - Epoch [6/70], Training Loss: 0.0842
Config (64, 256, 256, 2, 3) - Epoch [6/70], Validation Loss: 0.1253
Config (64, 256, 256, 2, 3) - Epoch [7/70], Training Loss: 0.1116
Config (64, 256, 256, 2, 3) - Epoch [7/70], Validation Loss: 0.1511
Config (64, 256, 256, 2, 3) - Epoch [8/70], Training Loss: 0.0579
Config (64, 256, 256, 2, 3) - Epoch [8/70], Validation Loss: 0.1071
Config (64, 256, 256, 2, 3) - Epoch [9/70], Training Loss: 0.0493
Config (64, 256, 256, 2, 3) - Epoch [9/70], Validation Loss: 0.1223
Config (64, 256, 256, 2, 3) - Epoch [10/70], Training Loss: 0.0693
Config (64, 256, 256, 2, 3) - Epoch [10/70], Validation Loss: 0.1528
Config (64, 256, 256, 2, 3) - Epoch [11/70], Training Loss: 0.0397
Config (64, 256, 256, 2, 3) - Epoch [11/70], Validation Loss: 0.1338
Config (64, 256, 256, 2, 3) - Early stopping after 11 epochs.
=================================================
Training with params: conv1_channels=64, conv2_channels=256, fc_neurons=256, pool_kernel=3, pool_stride=2
=================================================
Config (64, 256, 256, 3, 2) - Epoch [1/70], Training Loss: 0.4396
Config (64, 256, 256, 3, 2) - Epoch [1/70], Validation Loss: 0.1483
Config (64, 256, 256, 3, 2) - Epoch [2/70], Training Loss: 0.2308
Config (64, 256, 256, 3, 2) - Epoch [2/70], Validation Loss: 0.1698
Config (64, 256, 256, 3, 2) - Epoch [3/70], Training Loss: 0.2011
Config (64, 256, 256, 3, 2) - Epoch [3/70], Validation Loss: 0.1778
Config (64, 256, 256, 3, 2) - Epoch [4/70], Training Loss: 0.1690
Config (64, 256, 256, 3, 2) - Epoch [4/70], Validation Loss: 0.1759
Config (64, 256, 256, 3, 2) - Early stopping after 4 epochs.
=================================================
Training with params: conv1_channels=64, conv2_channels=256, fc_neurons=256, pool_kernel=3, pool_stride=3
=================================================
Config (64, 256, 256, 3, 3) - Epoch [1/70], Training Loss: 0.3968
Config (64, 256, 256, 3, 3) - Epoch [1/70], Validation Loss: 0.1497
Config (64, 256, 256, 3, 3) - Epoch [2/70], Training Loss: 0.2135
Config (64, 256, 256, 3, 3) - Epoch [2/70], Validation Loss: 0.1136
Config (64, 256, 256, 3, 3) - Epoch [3/70], Training Loss: 0.1379
Config (64, 256, 256, 3, 3) - Epoch [3/70], Validation Loss: 0.1380
Config (64, 256, 256, 3, 3) - Epoch [4/70], Training Loss: 0.1561
Config (64, 256, 256, 3, 3) - Epoch [4/70], Validation Loss: 0.0995
Config (64, 256, 256, 3, 3) - Epoch [5/70], Training Loss: 0.0871
Config (64, 256, 256, 3, 3) - Epoch [5/70], Validation Loss: 0.0825
Config (64, 256, 256, 3, 3) - Epoch [6/70], Training Loss: 0.0715
Config (64, 256, 256, 3, 3) - Epoch [6/70], Validation Loss: 0.0925
Config (64, 256, 256, 3, 3) - Epoch [7/70], Training Loss: 0.0584
Config (64, 256, 256, 3, 3) - Epoch [7/70], Validation Loss: 0.1107
Config (64, 256, 256, 3, 3) - Epoch [8/70], Training Loss: 0.0500
Config (64, 256, 256, 3, 3) - Epoch [8/70], Validation Loss: 0.1010
Config (64, 256, 256, 3, 3) - Early stopping after 8 epochs.
=================================================
Training with params: conv1_channels=64, conv2_channels=256, fc_neurons=512, pool_kernel=2, pool_stride=2
=================================================
Config (64, 256, 512, 2, 2) - Epoch [1/70], Training Loss: 0.4249
Config (64, 256, 512, 2, 2) - Epoch [1/70], Validation Loss: 0.1469
Config (64, 256, 512, 2, 2) - Epoch [2/70], Training Loss: 0.1736
Config (64, 256, 512, 2, 2) - Epoch [2/70], Validation Loss: 0.1185
Config (64, 256, 512, 2, 2) - Epoch [3/70], Training Loss: 0.1168
Config (64, 256, 512, 2, 2) - Epoch [3/70], Validation Loss: 0.1177
Config (64, 256, 512, 2, 2) - Epoch [4/70], Training Loss: 0.0971
Config (64, 256, 512, 2, 2) - Epoch [4/70], Validation Loss: 0.0882
Config (64, 256, 512, 2, 2) - Epoch [5/70], Training Loss: 0.1160
Config (64, 256, 512, 2, 2) - Epoch [5/70], Validation Loss: 0.1006
Config (64, 256, 512, 2, 2) - Epoch [6/70], Training Loss: 0.0600
Config (64, 256, 512, 2, 2) - Epoch [6/70], Validation Loss: 0.1032
Config (64, 256, 512, 2, 2) - Epoch [7/70], Training Loss: 0.0518
Config (64, 256, 512, 2, 2) - Epoch [7/70], Validation Loss: 0.1451
Config (64, 256, 512, 2, 2) - Early stopping after 7 epochs.
=================================================
Training with params: conv1_channels=64, conv2_channels=256, fc_neurons=512, pool_kernel=2, pool_stride=3
=================================================
Config (64, 256, 512, 2, 3) - Epoch [1/70], Training Loss: 0.4068
Config (64, 256, 512, 2, 3) - Epoch [1/70], Validation Loss: 0.1565
Config (64, 256, 512, 2, 3) - Epoch [2/70], Training Loss: 0.2025
Config (64, 256, 512, 2, 3) - Epoch [2/70], Validation Loss: 0.1201
Config (64, 256, 512, 2, 3) - Epoch [3/70], Training Loss: 0.1543
Config (64, 256, 512, 2, 3) - Epoch [3/70], Validation Loss: 0.1335
Config (64, 256, 512, 2, 3) - Epoch [4/70], Training Loss: 0.0941
Config (64, 256, 512, 2, 3) - Epoch [4/70], Validation Loss: 0.1077
Config (64, 256, 512, 2, 3) - Epoch [5/70], Training Loss: 0.0763
Config (64, 256, 512, 2, 3) - Epoch [5/70], Validation Loss: 0.1814
Config (64, 256, 512, 2, 3) - Epoch [6/70], Training Loss: 0.1096
Config (64, 256, 512, 2, 3) - Epoch [6/70], Validation Loss: 0.1238
Config (64, 256, 512, 2, 3) - Epoch [7/70], Training Loss: 0.0822
Config (64, 256, 512, 2, 3) - Epoch [7/70], Validation Loss: 0.1247
Config (64, 256, 512, 2, 3) - Early stopping after 7 epochs.
=================================================
Training with params: conv1_channels=64, conv2_channels=256, fc_neurons=512, pool_kernel=3, pool_stride=2
=================================================
Config (64, 256, 512, 3, 2) - Epoch [1/70], Training Loss: 0.3955
Config (64, 256, 512, 3, 2) - Epoch [1/70], Validation Loss: 0.1228
Config (64, 256, 512, 3, 2) - Epoch [2/70], Training Loss: 0.1774
Config (64, 256, 512, 3, 2) - Epoch [2/70], Validation Loss: 0.1269
Config (64, 256, 512, 3, 2) - Epoch [3/70], Training Loss: 0.1636
Config (64, 256, 512, 3, 2) - Epoch [3/70], Validation Loss: 0.0937
Config (64, 256, 512, 3, 2) - Epoch [4/70], Training Loss: 0.1240
Config (64, 256, 512, 3, 2) - Epoch [4/70], Validation Loss: 0.0912
Config (64, 256, 512, 3, 2) - Epoch [5/70], Training Loss: 0.0827
Config (64, 256, 512, 3, 2) - Epoch [5/70], Validation Loss: 0.1184
Config (64, 256, 512, 3, 2) - Epoch [6/70], Training Loss: 0.0645
Config (64, 256, 512, 3, 2) - Epoch [6/70], Validation Loss: 0.0951
Config (64, 256, 512, 3, 2) - Epoch [7/70], Training Loss: 0.0539
Config (64, 256, 512, 3, 2) - Epoch [7/70], Validation Loss: 0.1133
Config (64, 256, 512, 3, 2) - Early stopping after 7 epochs.
=================================================
Training with params: conv1_channels=64, conv2_channels=256, fc_neurons=512, pool_kernel=3, pool_stride=3
=================================================
Config (64, 256, 512, 3, 3) - Epoch [1/70], Training Loss: 0.3667
Config (64, 256, 512, 3, 3) - Epoch [1/70], Validation Loss: 0.1134
Config (64, 256, 512, 3, 3) - Epoch [2/70], Training Loss: 0.1689
Config (64, 256, 512, 3, 3) - Epoch [2/70], Validation Loss: 0.0743
Config (64, 256, 512, 3, 3) - Epoch [3/70], Training Loss: 0.1058
Config (64, 256, 512, 3, 3) - Epoch [3/70], Validation Loss: 0.1301
Config (64, 256, 512, 3, 3) - Epoch [4/70], Training Loss: 0.1319
Config (64, 256, 512, 3, 3) - Epoch [4/70], Validation Loss: 0.0563
Config (64, 256, 512, 3, 3) - Epoch [5/70], Training Loss: 0.0663
Config (64, 256, 512, 3, 3) - Epoch [5/70], Validation Loss: 0.0724
Config (64, 256, 512, 3, 3) - Epoch [6/70], Training Loss: 0.0788
Config (64, 256, 512, 3, 3) - Epoch [6/70], Validation Loss: 0.1114
Config (64, 256, 512, 3, 3) - Epoch [7/70], Training Loss: 0.0971
Config (64, 256, 512, 3, 3) - Epoch [7/70], Validation Loss: 0.0862
Config (64, 256, 512, 3, 3) - Early stopping after 7 epochs.
=================================================
Training with params: conv1_channels=128, conv2_channels=128, fc_neurons=256, pool_kernel=2, pool_stride=2
=================================================
Config (128, 128, 256, 2, 2) - Epoch [1/70], Training Loss: 0.5365
Config (128, 128, 256, 2, 2) - Epoch [1/70], Validation Loss: 0.2069
Config (128, 128, 256, 2, 2) - Epoch [2/70], Training Loss: 0.2617
Config (128, 128, 256, 2, 2) - Epoch [2/70], Validation Loss: 0.1670
Config (128, 128, 256, 2, 2) - Epoch [3/70], Training Loss: 0.1936
Config (128, 128, 256, 2, 2) - Epoch [3/70], Validation Loss: 0.1822
Config (128, 128, 256, 2, 2) - Epoch [4/70], Training Loss: 0.1596
Config (128, 128, 256, 2, 2) - Epoch [4/70], Validation Loss: 0.1638
Config (128, 128, 256, 2, 2) - Epoch [5/70], Training Loss: 0.1669
Config (128, 128, 256, 2, 2) - Epoch [5/70], Validation Loss: 0.1673
Config (128, 128, 256, 2, 2) - Epoch [6/70], Training Loss: 0.1263
Config (128, 128, 256, 2, 2) - Epoch [6/70], Validation Loss: 0.1917
Config (128, 128, 256, 2, 2) - Epoch [7/70], Training Loss: 0.1624
Config (128, 128, 256, 2, 2) - Epoch [7/70], Validation Loss: 0.1730
Config (128, 128, 256, 2, 2) - Early stopping after 7 epochs.
=================================================
Training with params: conv1_channels=128, conv2_channels=128, fc_neurons=256, pool_kernel=2, pool_stride=3
=================================================
Config (128, 128, 256, 2, 3) - Epoch [1/70], Training Loss: 0.5398
Config (128, 128, 256, 2, 3) - Epoch [1/70], Validation Loss: 0.2126
Config (128, 128, 256, 2, 3) - Epoch [2/70], Training Loss: 0.2519
Config (128, 128, 256, 2, 3) - Epoch [2/70], Validation Loss: 0.2224
Config (128, 128, 256, 2, 3) - Epoch [3/70], Training Loss: 0.2470
Config (128, 128, 256, 2, 3) - Epoch [3/70], Validation Loss: 0.1466
Config (128, 128, 256, 2, 3) - Epoch [4/70], Training Loss: 0.1590
Config (128, 128, 256, 2, 3) - Epoch [4/70], Validation Loss: 0.1560
Config (128, 128, 256, 2, 3) - Epoch [5/70], Training Loss: 0.1721
Config (128, 128, 256, 2, 3) - Epoch [5/70], Validation Loss: 0.1666
Config (128, 128, 256, 2, 3) - Epoch [6/70], Training Loss: 0.1601
Config (128, 128, 256, 2, 3) - Epoch [6/70], Validation Loss: 0.1269
Config (128, 128, 256, 2, 3) - Epoch [7/70], Training Loss: 0.1114
Config (128, 128, 256, 2, 3) - Epoch [7/70], Validation Loss: 0.1299
Config (128, 128, 256, 2, 3) - Epoch [8/70], Training Loss: 0.1129
Config (128, 128, 256, 2, 3) - Epoch [8/70], Validation Loss: 0.1118
Config (128, 128, 256, 2, 3) - Epoch [9/70], Training Loss: 0.0896
Config (128, 128, 256, 2, 3) - Epoch [9/70], Validation Loss: 0.1287
Config (128, 128, 256, 2, 3) - Epoch [10/70], Training Loss: 0.1184
Config (128, 128, 256, 2, 3) - Epoch [10/70], Validation Loss: 0.1339
Config (128, 128, 256, 2, 3) - Epoch [11/70], Training Loss: 0.0737
Config (128, 128, 256, 2, 3) - Epoch [11/70], Validation Loss: 0.1556
Config (128, 128, 256, 2, 3) - Early stopping after 11 epochs.
=================================================
Training with params: conv1_channels=128, conv2_channels=128, fc_neurons=256, pool_kernel=3, pool_stride=2
=================================================
Config (128, 128, 256, 3, 2) - Epoch [1/70], Training Loss: 0.5285
Config (128, 128, 256, 3, 2) - Epoch [1/70], Validation Loss: 0.2609
Config (128, 128, 256, 3, 2) - Epoch [2/70], Training Loss: 0.2695
Config (128, 128, 256, 3, 2) - Epoch [2/70], Validation Loss: 0.1717
Config (128, 128, 256, 3, 2) - Epoch [3/70], Training Loss: 0.1912
Config (128, 128, 256, 3, 2) - Epoch [3/70], Validation Loss: 0.1415
Config (128, 128, 256, 3, 2) - Epoch [4/70], Training Loss: 0.1542
Config (128, 128, 256, 3, 2) - Epoch [4/70], Validation Loss: 0.1350
Config (128, 128, 256, 3, 2) - Epoch [5/70], Training Loss: 0.1307
Config (128, 128, 256, 3, 2) - Epoch [5/70], Validation Loss: 0.1469
Config (128, 128, 256, 3, 2) - Epoch [6/70], Training Loss: 0.1510
Config (128, 128, 256, 3, 2) - Epoch [6/70], Validation Loss: 0.1108
Config (128, 128, 256, 3, 2) - Epoch [7/70], Training Loss: 0.1473
Config (128, 128, 256, 3, 2) - Epoch [7/70], Validation Loss: 0.1182
Config (128, 128, 256, 3, 2) - Epoch [8/70], Training Loss: 0.1304
Config (128, 128, 256, 3, 2) - Epoch [8/70], Validation Loss: 0.1299
Config (128, 128, 256, 3, 2) - Epoch [9/70], Training Loss: 0.0891
Config (128, 128, 256, 3, 2) - Epoch [9/70], Validation Loss: 0.1393
Config (128, 128, 256, 3, 2) - Early stopping after 9 epochs.
=================================================
Training with params: conv1_channels=128, conv2_channels=128, fc_neurons=256, pool_kernel=3, pool_stride=3
=================================================
Config (128, 128, 256, 3, 3) - Epoch [1/70], Training Loss: 0.4539
Config (128, 128, 256, 3, 3) - Epoch [1/70], Validation Loss: 0.1707
Config (128, 128, 256, 3, 3) - Epoch [2/70], Training Loss: 0.2579
Config (128, 128, 256, 3, 3) - Epoch [2/70], Validation Loss: 0.1054
Config (128, 128, 256, 3, 3) - Epoch [3/70], Training Loss: 0.2154
Config (128, 128, 256, 3, 3) - Epoch [3/70], Validation Loss: 0.1551
Config (128, 128, 256, 3, 3) - Epoch [4/70], Training Loss: 0.1934
Config (128, 128, 256, 3, 3) - Epoch [4/70], Validation Loss: 0.1433
Config (128, 128, 256, 3, 3) - Epoch [5/70], Training Loss: 0.1643
Config (128, 128, 256, 3, 3) - Epoch [5/70], Validation Loss: 0.1017
Config (128, 128, 256, 3, 3) - Epoch [6/70], Training Loss: 0.1131
Config (128, 128, 256, 3, 3) - Epoch [6/70], Validation Loss: 0.0946
Config (128, 128, 256, 3, 3) - Epoch [7/70], Training Loss: 0.1005
Config (128, 128, 256, 3, 3) - Epoch [7/70], Validation Loss: 0.1548
Config (128, 128, 256, 3, 3) - Epoch [8/70], Training Loss: 0.1269
Config (128, 128, 256, 3, 3) - Epoch [8/70], Validation Loss: 0.1159
Config (128, 128, 256, 3, 3) - Epoch [9/70], Training Loss: 0.0867
Config (128, 128, 256, 3, 3) - Epoch [9/70], Validation Loss: 0.1215
Config (128, 128, 256, 3, 3) - Early stopping after 9 epochs.
=================================================
Training with params: conv1_channels=128, conv2_channels=128, fc_neurons=512, pool_kernel=2, pool_stride=2
=================================================
Config (128, 128, 512, 2, 2) - Epoch [1/70], Training Loss: 0.4784
Config (128, 128, 512, 2, 2) - Epoch [1/70], Validation Loss: 0.1530
Config (128, 128, 512, 2, 2) - Epoch [2/70], Training Loss: 0.2146
Config (128, 128, 512, 2, 2) - Epoch [2/70], Validation Loss: 0.1079
Config (128, 128, 512, 2, 2) - Epoch [3/70], Training Loss: 0.1657
Config (128, 128, 512, 2, 2) - Epoch [3/70], Validation Loss: 0.1362
Config (128, 128, 512, 2, 2) - Epoch [4/70], Training Loss: 0.1481
Config (128, 128, 512, 2, 2) - Epoch [4/70], Validation Loss: 0.1623
Config (128, 128, 512, 2, 2) - Epoch [5/70], Training Loss: 0.1014
Config (128, 128, 512, 2, 2) - Epoch [5/70], Validation Loss: 0.1136
Config (128, 128, 512, 2, 2) - Early stopping after 5 epochs.
=================================================
Training with params: conv1_channels=128, conv2_channels=128, fc_neurons=512, pool_kernel=2, pool_stride=3
=================================================
Config (128, 128, 512, 2, 3) - Epoch [1/70], Training Loss: 0.4585
Config (128, 128, 512, 2, 3) - Epoch [1/70], Validation Loss: 0.1643
Config (128, 128, 512, 2, 3) - Epoch [2/70], Training Loss: 0.2075
Config (128, 128, 512, 2, 3) - Epoch [2/70], Validation Loss: 0.1449
Config (128, 128, 512, 2, 3) - Epoch [3/70], Training Loss: 0.1622
Config (128, 128, 512, 2, 3) - Epoch [3/70], Validation Loss: 0.1506
Config (128, 128, 512, 2, 3) - Epoch [4/70], Training Loss: 0.1332
Config (128, 128, 512, 2, 3) - Epoch [4/70], Validation Loss: 0.1303
Config (128, 128, 512, 2, 3) - Epoch [5/70], Training Loss: 0.0963
Config (128, 128, 512, 2, 3) - Epoch [5/70], Validation Loss: 0.1645
Config (128, 128, 512, 2, 3) - Epoch [6/70], Training Loss: 0.1072
Config (128, 128, 512, 2, 3) - Epoch [6/70], Validation Loss: 0.1313
Config (128, 128, 512, 2, 3) - Epoch [7/70], Training Loss: 0.0684
Config (128, 128, 512, 2, 3) - Epoch [7/70], Validation Loss: 0.1337
Config (128, 128, 512, 2, 3) - Early stopping after 7 epochs.
=================================================
Training with params: conv1_channels=128, conv2_channels=128, fc_neurons=512, pool_kernel=3, pool_stride=2
=================================================
Config (128, 128, 512, 3, 2) - Epoch [1/70], Training Loss: 0.4419
Config (128, 128, 512, 3, 2) - Epoch [1/70], Validation Loss: 0.1793
Config (128, 128, 512, 3, 2) - Epoch [2/70], Training Loss: 0.2015
Config (128, 128, 512, 3, 2) - Epoch [2/70], Validation Loss: 0.1366
Config (128, 128, 512, 3, 2) - Epoch [3/70], Training Loss: 0.1641
Config (128, 128, 512, 3, 2) - Epoch [3/70], Validation Loss: 0.1426
Config (128, 128, 512, 3, 2) - Epoch [4/70], Training Loss: 0.1507
Config (128, 128, 512, 3, 2) - Epoch [4/70], Validation Loss: 0.1063
Config (128, 128, 512, 3, 2) - Epoch [5/70], Training Loss: 0.0996
Config (128, 128, 512, 3, 2) - Epoch [5/70], Validation Loss: 0.1086
Config (128, 128, 512, 3, 2) - Epoch [6/70], Training Loss: 0.0840
Config (128, 128, 512, 3, 2) - Epoch [6/70], Validation Loss: 0.1150
Config (128, 128, 512, 3, 2) - Epoch [7/70], Training Loss: 0.0744
Config (128, 128, 512, 3, 2) - Epoch [7/70], Validation Loss: 0.0969
Config (128, 128, 512, 3, 2) - Epoch [8/70], Training Loss: 0.1194
Config (128, 128, 512, 3, 2) - Epoch [8/70], Validation Loss: 0.1165
Config (128, 128, 512, 3, 2) - Epoch [9/70], Training Loss: 0.0735
Config (128, 128, 512, 3, 2) - Epoch [9/70], Validation Loss: 0.1021
Config (128, 128, 512, 3, 2) - Epoch [10/70], Training Loss: 0.0632
Config (128, 128, 512, 3, 2) - Epoch [10/70], Validation Loss: 0.0991
Config (128, 128, 512, 3, 2) - Early stopping after 10 epochs.
=================================================
Training with params: conv1_channels=128, conv2_channels=128, fc_neurons=512, pool_kernel=3, pool_stride=3
=================================================
Config (128, 128, 512, 3, 3) - Epoch [1/70], Training Loss: 0.4100
Config (128, 128, 512, 3, 3) - Epoch [1/70], Validation Loss: 0.1495
Config (128, 128, 512, 3, 3) - Epoch [2/70], Training Loss: 0.1764
Config (128, 128, 512, 3, 3) - Epoch [2/70], Validation Loss: 0.1143
Config (128, 128, 512, 3, 3) - Epoch [3/70], Training Loss: 0.1205
Config (128, 128, 512, 3, 3) - Epoch [3/70], Validation Loss: 0.1116
Config (128, 128, 512, 3, 3) - Epoch [4/70], Training Loss: 0.1146
Config (128, 128, 512, 3, 3) - Epoch [4/70], Validation Loss: 0.1319
Config (128, 128, 512, 3, 3) - Epoch [5/70], Training Loss: 0.1217
Config (128, 128, 512, 3, 3) - Epoch [5/70], Validation Loss: 0.0920
Config (128, 128, 512, 3, 3) - Epoch [6/70], Training Loss: 0.0732
Config (128, 128, 512, 3, 3) - Epoch [6/70], Validation Loss: 0.1409
Config (128, 128, 512, 3, 3) - Epoch [7/70], Training Loss: 0.0989
Config (128, 128, 512, 3, 3) - Epoch [7/70], Validation Loss: 0.1087
Config (128, 128, 512, 3, 3) - Epoch [8/70], Training Loss: 0.0708
Config (128, 128, 512, 3, 3) - Epoch [8/70], Validation Loss: 0.0926
Config (128, 128, 512, 3, 3) - Early stopping after 8 epochs.
=================================================
Training with params: conv1_channels=128, conv2_channels=256, fc_neurons=256, pool_kernel=2, pool_stride=2
=================================================
Config (128, 256, 256, 2, 2) - Epoch [1/70], Training Loss: 0.4406
Config (128, 256, 256, 2, 2) - Epoch [1/70], Validation Loss: 0.1765
Config (128, 256, 256, 2, 2) - Epoch [2/70], Training Loss: 0.2069
Config (128, 256, 256, 2, 2) - Epoch [2/70], Validation Loss: 0.1624
Config (128, 256, 256, 2, 2) - Epoch [3/70], Training Loss: 0.1424
Config (128, 256, 256, 2, 2) - Epoch [3/70], Validation Loss: 0.1346
Config (128, 256, 256, 2, 2) - Epoch [4/70], Training Loss: 0.1171
Config (128, 256, 256, 2, 2) - Epoch [4/70], Validation Loss: 0.1541
Config (128, 256, 256, 2, 2) - Epoch [5/70], Training Loss: 0.1324
Config (128, 256, 256, 2, 2) - Epoch [5/70], Validation Loss: 0.1294
Config (128, 256, 256, 2, 2) - Epoch [6/70], Training Loss: 0.0921
Config (128, 256, 256, 2, 2) - Epoch [6/70], Validation Loss: 0.1833
Config (128, 256, 256, 2, 2) - Epoch [7/70], Training Loss: 0.1197
Config (128, 256, 256, 2, 2) - Epoch [7/70], Validation Loss: 0.1136
Config (128, 256, 256, 2, 2) - Epoch [8/70], Training Loss: 0.1106
Config (128, 256, 256, 2, 2) - Epoch [8/70], Validation Loss: 0.1304
Config (128, 256, 256, 2, 2) - Epoch [9/70], Training Loss: 0.0610
Config (128, 256, 256, 2, 2) - Epoch [9/70], Validation Loss: 0.1374
Config (128, 256, 256, 2, 2) - Epoch [10/70], Training Loss: 0.0541
Config (128, 256, 256, 2, 2) - Epoch [10/70], Validation Loss: 0.1246
Config (128, 256, 256, 2, 2) - Early stopping after 10 epochs.
=================================================
Training with params: conv1_channels=128, conv2_channels=256, fc_neurons=256, pool_kernel=2, pool_stride=3
=================================================
Config (128, 256, 256, 2, 3) - Epoch [1/70], Training Loss: 0.4293
Config (128, 256, 256, 2, 3) - Epoch [1/70], Validation Loss: 0.2228
Config (128, 256, 256, 2, 3) - Epoch [2/70], Training Loss: 0.1881
Config (128, 256, 256, 2, 3) - Epoch [2/70], Validation Loss: 0.2000
Config (128, 256, 256, 2, 3) - Epoch [3/70], Training Loss: 0.1721
Config (128, 256, 256, 2, 3) - Epoch [3/70], Validation Loss: 0.1379
Config (128, 256, 256, 2, 3) - Epoch [4/70], Training Loss: 0.1155
Config (128, 256, 256, 2, 3) - Epoch [4/70], Validation Loss: 0.2819
Config (128, 256, 256, 2, 3) - Epoch [5/70], Training Loss: 0.1597
Config (128, 256, 256, 2, 3) - Epoch [5/70], Validation Loss: 0.1854
Config (128, 256, 256, 2, 3) - Epoch [6/70], Training Loss: 0.1362
Config (128, 256, 256, 2, 3) - Epoch [6/70], Validation Loss: 0.1219
Config (128, 256, 256, 2, 3) - Epoch [7/70], Training Loss: 0.0751
Config (128, 256, 256, 2, 3) - Epoch [7/70], Validation Loss: 0.1205
Config (128, 256, 256, 2, 3) - Epoch [8/70], Training Loss: 0.0766
Config (128, 256, 256, 2, 3) - Epoch [8/70], Validation Loss: 0.1082
Config (128, 256, 256, 2, 3) - Epoch [9/70], Training Loss: 0.0493
Config (128, 256, 256, 2, 3) - Epoch [9/70], Validation Loss: 0.1008
Config (128, 256, 256, 2, 3) - Epoch [10/70], Training Loss: 0.0419
Config (128, 256, 256, 2, 3) - Epoch [10/70], Validation Loss: 0.1321
Config (128, 256, 256, 2, 3) - Epoch [11/70], Training Loss: 0.0493
Config (128, 256, 256, 2, 3) - Epoch [11/70], Validation Loss: 0.0920
Config (128, 256, 256, 2, 3) - Epoch [12/70], Training Loss: 0.0826
Config (128, 256, 256, 2, 3) - Epoch [12/70], Validation Loss: 0.1185
Config (128, 256, 256, 2, 3) - Epoch [13/70], Training Loss: 0.0363
Config (128, 256, 256, 2, 3) - Epoch [13/70], Validation Loss: 0.1169
Config (128, 256, 256, 2, 3) - Epoch [14/70], Training Loss: 0.0281
Config (128, 256, 256, 2, 3) - Epoch [14/70], Validation Loss: 0.1131
Config (128, 256, 256, 2, 3) - Early stopping after 14 epochs.
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Training with params: conv1_channels=128, conv2_channels=256, fc_neurons=256, pool_kernel=3, pool_stride=2
=================================================
Config (128, 256, 256, 3, 2) - Epoch [1/70], Training Loss: 0.4348
Config (128, 256, 256, 3, 2) - Epoch [1/70], Validation Loss: 0.1628
Config (128, 256, 256, 3, 2) - Epoch [2/70], Training Loss: 0.2062
Config (128, 256, 256, 3, 2) - Epoch [2/70], Validation Loss: 0.1663
Config (128, 256, 256, 3, 2) - Epoch [3/70], Training Loss: 0.1692
Config (128, 256, 256, 3, 2) - Epoch [3/70], Validation Loss: 0.1147
Config (128, 256, 256, 3, 2) - Epoch [4/70], Training Loss: 0.1180
Config (128, 256, 256, 3, 2) - Epoch [4/70], Validation Loss: 0.1345
Config (128, 256, 256, 3, 2) - Epoch [5/70], Training Loss: 0.1084
Config (128, 256, 256, 3, 2) - Epoch [5/70], Validation Loss: 0.1063
Config (128, 256, 256, 3, 2) - Epoch [6/70], Training Loss: 0.0795
Config (128, 256, 256, 3, 2) - Epoch [6/70], Validation Loss: 0.1069
Config (128, 256, 256, 3, 2) - Epoch [7/70], Training Loss: 0.0683
Config (128, 256, 256, 3, 2) - Epoch [7/70], Validation Loss: 0.1415
Config (128, 256, 256, 3, 2) - Epoch [8/70], Training Loss: 0.0810
Config (128, 256, 256, 3, 2) - Epoch [8/70], Validation Loss: 0.1453
Config (128, 256, 256, 3, 2) - Early stopping after 8 epochs.
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Training with params: conv1_channels=128, conv2_channels=256, fc_neurons=256, pool_kernel=3, pool_stride=3
=================================================
Config (128, 256, 256, 3, 3) - Epoch [1/70], Training Loss: 0.4017
Config (128, 256, 256, 3, 3) - Epoch [1/70], Validation Loss: 0.1317
Config (128, 256, 256, 3, 3) - Epoch [2/70], Training Loss: 0.2063
Config (128, 256, 256, 3, 3) - Epoch [2/70], Validation Loss: 0.1053
Config (128, 256, 256, 3, 3) - Epoch [3/70], Training Loss: 0.1227
Config (128, 256, 256, 3, 3) - Epoch [3/70], Validation Loss: 0.1013
Config (128, 256, 256, 3, 3) - Epoch [4/70], Training Loss: 0.0944
Config (128, 256, 256, 3, 3) - Epoch [4/70], Validation Loss: 0.0912
Config (128, 256, 256, 3, 3) - Epoch [5/70], Training Loss: 0.0744
Config (128, 256, 256, 3, 3) - Epoch [5/70], Validation Loss: 0.0938
Config (128, 256, 256, 3, 3) - Epoch [6/70], Training Loss: 0.0607
Config (128, 256, 256, 3, 3) - Epoch [6/70], Validation Loss: 0.1041
Config (128, 256, 256, 3, 3) - Epoch [7/70], Training Loss: 0.0528
Config (128, 256, 256, 3, 3) - Epoch [7/70], Validation Loss: 0.1677
Config (128, 256, 256, 3, 3) - Early stopping after 7 epochs.
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Training with params: conv1_channels=128, conv2_channels=256, fc_neurons=512, pool_kernel=2, pool_stride=2
=================================================
Config (128, 256, 512, 2, 2) - Epoch [1/70], Training Loss: 0.4273
Config (128, 256, 512, 2, 2) - Epoch [1/70], Validation Loss: 0.1779
Config (128, 256, 512, 2, 2) - Epoch [2/70], Training Loss: 0.1908
Config (128, 256, 512, 2, 2) - Epoch [2/70], Validation Loss: 0.1342
Config (128, 256, 512, 2, 2) - Epoch [3/70], Training Loss: 0.1213
Config (128, 256, 512, 2, 2) - Epoch [3/70], Validation Loss: 0.1290
Config (128, 256, 512, 2, 2) - Epoch [4/70], Training Loss: 0.1265
Config (128, 256, 512, 2, 2) - Epoch [4/70], Validation Loss: 0.4255
Config (128, 256, 512, 2, 2) - Epoch [5/70], Training Loss: 0.1438
Config (128, 256, 512, 2, 2) - Epoch [5/70], Validation Loss: 0.0985
Config (128, 256, 512, 2, 2) - Epoch [6/70], Training Loss: 0.0697
Config (128, 256, 512, 2, 2) - Epoch [6/70], Validation Loss: 0.1015
Config (128, 256, 512, 2, 2) - Epoch [7/70], Training Loss: 0.0561
Config (128, 256, 512, 2, 2) - Epoch [7/70], Validation Loss: 0.0998
Config (128, 256, 512, 2, 2) - Epoch [8/70], Training Loss: 0.0563
Config (128, 256, 512, 2, 2) - Epoch [8/70], Validation Loss: 0.1294
Config (128, 256, 512, 2, 2) - Early stopping after 8 epochs.
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Training with params: conv1_channels=128, conv2_channels=256, fc_neurons=512, pool_kernel=2, pool_stride=3
=================================================
Config (128, 256, 512, 2, 3) - Epoch [1/70], Training Loss: 0.3867
Config (128, 256, 512, 2, 3) - Epoch [1/70], Validation Loss: 0.1491
Config (128, 256, 512, 2, 3) - Epoch [2/70], Training Loss: 0.1695
Config (128, 256, 512, 2, 3) - Epoch [2/70], Validation Loss: 0.1143
Config (128, 256, 512, 2, 3) - Epoch [3/70], Training Loss: 0.1107
Config (128, 256, 512, 2, 3) - Epoch [3/70], Validation Loss: 0.1484
Config (128, 256, 512, 2, 3) - Epoch [4/70], Training Loss: 0.1238
Config (128, 256, 512, 2, 3) - Epoch [4/70], Validation Loss: 0.1074
Config (128, 256, 512, 2, 3) - Epoch [5/70], Training Loss: 0.0673
Config (128, 256, 512, 2, 3) - Epoch [5/70], Validation Loss: 0.1166
Config (128, 256, 512, 2, 3) - Epoch [6/70], Training Loss: 0.0744
Config (128, 256, 512, 2, 3) - Epoch [6/70], Validation Loss: 0.1600
Config (128, 256, 512, 2, 3) - Epoch [7/70], Training Loss: 0.0448
Config (128, 256, 512, 2, 3) - Epoch [7/70], Validation Loss: 0.0855
Config (128, 256, 512, 2, 3) - Epoch [8/70], Training Loss: 0.0608
Config (128, 256, 512, 2, 3) - Epoch [8/70], Validation Loss: 0.1288
Config (128, 256, 512, 2, 3) - Epoch [9/70], Training Loss: 0.0744
Config (128, 256, 512, 2, 3) - Epoch [9/70], Validation Loss: 0.1218
Config (128, 256, 512, 2, 3) - Epoch [10/70], Training Loss: 0.0315
Config (128, 256, 512, 2, 3) - Epoch [10/70], Validation Loss: 0.1037
Config (128, 256, 512, 2, 3) - Early stopping after 10 epochs.
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Training with params: conv1_channels=128, conv2_channels=256, fc_neurons=512, pool_kernel=3, pool_stride=2
=================================================
Config (128, 256, 512, 3, 2) - Epoch [1/70], Training Loss: 0.3942
Config (128, 256, 512, 3, 2) - Epoch [1/70], Validation Loss: 0.1437
Config (128, 256, 512, 3, 2) - Epoch [2/70], Training Loss: 0.2094
Config (128, 256, 512, 3, 2) - Epoch [2/70], Validation Loss: 0.1575
Config (128, 256, 512, 3, 2) - Epoch [3/70], Training Loss: 0.1692
Config (128, 256, 512, 3, 2) - Epoch [3/70], Validation Loss: 0.0843
Config (128, 256, 512, 3, 2) - Epoch [4/70], Training Loss: 0.1092
Config (128, 256, 512, 3, 2) - Epoch [4/70], Validation Loss: 0.0836
Config (128, 256, 512, 3, 2) - Epoch [5/70], Training Loss: 0.0816
Config (128, 256, 512, 3, 2) - Epoch [5/70], Validation Loss: 0.1006
Config (128, 256, 512, 3, 2) - Epoch [6/70], Training Loss: 0.0689
Config (128, 256, 512, 3, 2) - Epoch [6/70], Validation Loss: 0.1069
Config (128, 256, 512, 3, 2) - Epoch [7/70], Training Loss: 0.0603
Config (128, 256, 512, 3, 2) - Epoch [7/70], Validation Loss: 0.0925
Config (128, 256, 512, 3, 2) - Early stopping after 7 epochs.
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Training with params: conv1_channels=128, conv2_channels=256, fc_neurons=512, pool_kernel=3, pool_stride=3
=================================================
Config (128, 256, 512, 3, 3) - Epoch [1/70], Training Loss: 0.3659
Config (128, 256, 512, 3, 3) - Epoch [1/70], Validation Loss: 0.1433
Config (128, 256, 512, 3, 3) - Epoch [2/70], Training Loss: 0.1542
Config (128, 256, 512, 3, 3) - Epoch [2/70], Validation Loss: 0.0970
Config (128, 256, 512, 3, 3) - Epoch [3/70], Training Loss: 0.0993
Config (128, 256, 512, 3, 3) - Epoch [3/70], Validation Loss: 0.1029
Config (128, 256, 512, 3, 3) - Epoch [4/70], Training Loss: 0.0741
Config (128, 256, 512, 3, 3) - Epoch [4/70], Validation Loss: 0.1023
Config (128, 256, 512, 3, 3) - Epoch [5/70], Training Loss: 0.0687
Config (128, 256, 512, 3, 3) - Epoch [5/70], Validation Loss: 0.0946
Config (128, 256, 512, 3, 3) - Epoch [6/70], Training Loss: 0.0441
Config (128, 256, 512, 3, 3) - Epoch [6/70], Validation Loss: 0.0981
Config (128, 256, 512, 3, 3) - Epoch [7/70], Training Loss: 0.0453
Config (128, 256, 512, 3, 3) - Epoch [7/70], Validation Loss: 0.0960
Config (128, 256, 512, 3, 3) - Epoch [8/70], Training Loss: 0.0863
Config (128, 256, 512, 3, 3) - Epoch [8/70], Validation Loss: 0.1390
Config (128, 256, 512, 3, 3) - Early stopping after 8 epochs.
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Best Model Parameters: (64, 256, 512, 3, 3) with Validation Loss: 0.0563