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sub_model/sub-01/diffusion_250hz/ATM_S_reconstruction_scale_0_1000_10.pth

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sub_model/sub-01/diffusion_250hz/ATM_S_reconstruction_scale_0_1000_15.pth

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sub_model/sub-01/diffusion_250hz/ATM_S_reconstruction_scale_0_1000_20.pth

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sub_model/sub-01/diffusion_250hz/ATM_S_reconstruction_scale_0_1000_25.pth

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sub_model/sub-01/diffusion_250hz/ATM_S_reconstruction_scale_0_1000_30.pth

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sub_model/sub-01/diffusion_250hz/ATM_S_reconstruction_scale_0_1000_35.pth

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sub_model/sub-01/diffusion_250hz/ATM_S_reconstruction_scale_0_1000_40.pth

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sub_model/sub-01/diffusion_250hz/ATM_S_reconstruction_scale_0_1000_5.pth

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sub_model/sub-01/diffusion_alexnet/pretrained_False/gene_gene/ATM_S_reconstruction_scale_0_1000_10.pth

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sub_model/sub-01/diffusion_alexnet/pretrained_False/gene_gene/training_log.txt

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+Epoch 26/40 - Train Loss: 0.1560, Train Accuracy: 0.1123, Test Loss: 0.0000, Test Accuracy: 0.2000, Top5 Accuracy: 0.4550
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+Epoch 27/40 - Train Loss: 0.1533, Train Accuracy: 0.1139, Test Loss: 0.0000, Test Accuracy: 0.2250, Top5 Accuracy: 0.4600
+Epoch 27/40 - v2 Accuracy:0.915 - v4 Accuracy:0.81 - v10 Accuracy:0.625 - v50 Accuracy:0.4 - v100 Accuracy:0.31
+Epoch 28/40 - Train Loss: 0.1454, Train Accuracy: 0.1162, Test Loss: 0.0000, Test Accuracy: 0.2150, Top5 Accuracy: 0.4300
+Epoch 28/40 - v2 Accuracy:0.91 - v4 Accuracy:0.795 - v10 Accuracy:0.665 - v50 Accuracy:0.365 - v100 Accuracy:0.295
+Epoch 29/40 - Train Loss: 0.1444, Train Accuracy: 0.1180, Test Loss: 0.0000, Test Accuracy: 0.2000, Top5 Accuracy: 0.4450
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+Epoch 30/40 - v2 Accuracy:0.93 - v4 Accuracy:0.8 - v10 Accuracy:0.63 - v50 Accuracy:0.345 - v100 Accuracy:0.27
+Epoch 31/40 - Train Loss: 0.1372, Train Accuracy: 0.1210, Test Loss: 0.0000, Test Accuracy: 0.1900, Top5 Accuracy: 0.4600
+Epoch 31/40 - v2 Accuracy:0.92 - v4 Accuracy:0.78 - v10 Accuracy:0.655 - v50 Accuracy:0.355 - v100 Accuracy:0.305
+Epoch 32/40 - Train Loss: 0.1280, Train Accuracy: 0.1235, Test Loss: 0.0000, Test Accuracy: 0.2250, Top5 Accuracy: 0.4400
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+Epoch 35/40 - v2 Accuracy:0.915 - v4 Accuracy:0.845 - v10 Accuracy:0.65 - v50 Accuracy:0.34 - v100 Accuracy:0.245
+Epoch 36/40 - Train Loss: 0.1173, Train Accuracy: 0.1306, Test Loss: 0.0000, Test Accuracy: 0.1950, Top5 Accuracy: 0.4200
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sub_model/sub-01/diffusion_alexnet/pretrained_False/gene_true/ATMS_sub-01.csv

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+Epoch 11/40 - Train Loss: 0.4114, Train Accuracy: 0.0601, Test Loss: 0.0000, Test Accuracy: 0.0300, Top5 Accuracy: 0.0950
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+Epoch 13/40 - Train Loss: 0.3379, Train Accuracy: 0.0702, Test Loss: 0.0000, Test Accuracy: 0.0200, Top5 Accuracy: 0.1300
+Epoch 13/40 - v2 Accuracy:0.725 - v4 Accuracy:0.515 - v10 Accuracy:0.28 - v50 Accuracy:0.07 - v100 Accuracy:0.045
+Epoch 14/40 - Train Loss: 0.3087, Train Accuracy: 0.0766, Test Loss: 0.0000, Test Accuracy: 0.0100, Top5 Accuracy: 0.0900
+Epoch 14/40 - v2 Accuracy:0.69 - v4 Accuracy:0.435 - v10 Accuracy:0.29 - v50 Accuracy:0.065 - v100 Accuracy:0.055
+Epoch 15/40 - Train Loss: 0.2833, Train Accuracy: 0.0779, Test Loss: 0.0000, Test Accuracy: 0.0250, Top5 Accuracy: 0.0950
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+Epoch 26/40 - Train Loss: 0.1622, Train Accuracy: 0.1111, Test Loss: 0.0000, Test Accuracy: 0.0250, Top5 Accuracy: 0.1000
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+Epoch 27/40 - Train Loss: 0.1524, Train Accuracy: 0.1131, Test Loss: 0.0000, Test Accuracy: 0.0300, Top5 Accuracy: 0.1100
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+Epoch 28/40 - Train Loss: 0.1510, Train Accuracy: 0.1139, Test Loss: 0.0000, Test Accuracy: 0.0200, Top5 Accuracy: 0.0850
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+Epoch 29/40 - Train Loss: 0.1421, Train Accuracy: 0.1176, Test Loss: 0.0000, Test Accuracy: 0.0150, Top5 Accuracy: 0.1000
+Epoch 29/40 - v2 Accuracy:0.63 - v4 Accuracy:0.415 - v10 Accuracy:0.26 - v50 Accuracy:0.08 - v100 Accuracy:0.04
+Epoch 30/40 - Train Loss: 0.1405, Train Accuracy: 0.1184, Test Loss: 0.0000, Test Accuracy: 0.0250, Top5 Accuracy: 0.1150
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+Epoch 1/40 - Train Loss: 4.2758, Train Accuracy: 0.0007, Test Loss: 0.0000, Test Accuracy: 0.0150, Top5 Accuracy: 0.0600
+Epoch 1/40 - v2 Accuracy:0.51 - v4 Accuracy:0.27 - v10 Accuracy:0.11 - v50 Accuracy:0.035 - v100 Accuracy:0.02
+Epoch 2/40 - Train Loss: 4.0960, Train Accuracy: 0.0021, Test Loss: 0.0000, Test Accuracy: 0.0100, Top5 Accuracy: 0.0300
+Epoch 2/40 - v2 Accuracy:0.52 - v4 Accuracy:0.24 - v10 Accuracy:0.125 - v50 Accuracy:0.025 - v100 Accuracy:0.015
+Epoch 3/40 - Train Loss: 4.0081, Train Accuracy: 0.0036, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0300
+Epoch 3/40 - v2 Accuracy:0.51 - v4 Accuracy:0.265 - v10 Accuracy:0.12 - v50 Accuracy:0.015 - v100 Accuracy:0.005
+Epoch 4/40 - Train Loss: 3.9170, Train Accuracy: 0.0054, Test Loss: 0.0000, Test Accuracy: 0.0050, Top5 Accuracy: 0.0350
+Epoch 4/40 - v2 Accuracy:0.535 - v4 Accuracy:0.235 - v10 Accuracy:0.1 - v50 Accuracy:0.02 - v100 Accuracy:0.01
+Epoch 5/40 - Train Loss: 3.8255, Train Accuracy: 0.0072, Test Loss: 0.0000, Test Accuracy: 0.0050, Top5 Accuracy: 0.0300
+Epoch 5/40 - v2 Accuracy:0.495 - v4 Accuracy:0.265 - v10 Accuracy:0.095 - v50 Accuracy:0.015 - v100 Accuracy:0.01
+Epoch 6/40 - Train Loss: 3.7123, Train Accuracy: 0.0089, Test Loss: 0.0000, Test Accuracy: 0.0050, Top5 Accuracy: 0.0200
+Epoch 6/40 - v2 Accuracy:0.53 - v4 Accuracy:0.305 - v10 Accuracy:0.085 - v50 Accuracy:0.015 - v100 Accuracy:0.01
+Epoch 7/40 - Train Loss: 3.5873, Train Accuracy: 0.0109, Test Loss: 0.0000, Test Accuracy: 0.0050, Top5 Accuracy: 0.0300
+Epoch 7/40 - v2 Accuracy:0.525 - v4 Accuracy:0.295 - v10 Accuracy:0.125 - v50 Accuracy:0.03 - v100 Accuracy:0.01
+Epoch 8/40 - Train Loss: 3.4535, Train Accuracy: 0.0126, Test Loss: 0.0000, Test Accuracy: 0.0050, Top5 Accuracy: 0.0200
+Epoch 8/40 - v2 Accuracy:0.485 - v4 Accuracy:0.275 - v10 Accuracy:0.11 - v50 Accuracy:0.02 - v100 Accuracy:0.02
+Epoch 9/40 - Train Loss: 3.3022, Train Accuracy: 0.0146, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0200
+Epoch 9/40 - v2 Accuracy:0.445 - v4 Accuracy:0.265 - v10 Accuracy:0.085 - v50 Accuracy:0.02 - v100 Accuracy:0.005
+Epoch 10/40 - Train Loss: 3.1386, Train Accuracy: 0.0153, Test Loss: 0.0000, Test Accuracy: 0.0050, Top5 Accuracy: 0.0200
+Epoch 10/40 - v2 Accuracy:0.55 - v4 Accuracy:0.255 - v10 Accuracy:0.12 - v50 Accuracy:0.015 - v100 Accuracy:0.015
+Epoch 11/40 - Train Loss: 2.9732, Train Accuracy: 0.0185, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0150
+Epoch 11/40 - v2 Accuracy:0.515 - v4 Accuracy:0.235 - v10 Accuracy:0.125 - v50 Accuracy:0.005 - v100 Accuracy:0.01
+Epoch 12/40 - Train Loss: 2.8039, Train Accuracy: 0.0219, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0200
+Epoch 12/40 - v2 Accuracy:0.54 - v4 Accuracy:0.28 - v10 Accuracy:0.09 - v50 Accuracy:0.01 - v100 Accuracy:0.01
+Epoch 13/40 - Train Loss: 2.6303, Train Accuracy: 0.0249, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0200
+Epoch 13/40 - v2 Accuracy:0.58 - v4 Accuracy:0.305 - v10 Accuracy:0.115 - v50 Accuracy:0.025 - v100 Accuracy:0.005
+Epoch 14/40 - Train Loss: 2.4578, Train Accuracy: 0.0261, Test Loss: 0.0000, Test Accuracy: 0.0100, Top5 Accuracy: 0.0200
+Epoch 14/40 - v2 Accuracy:0.455 - v4 Accuracy:0.305 - v10 Accuracy:0.095 - v50 Accuracy:0.015 - v100 Accuracy:0.015
+Epoch 15/40 - Train Loss: 2.2885, Train Accuracy: 0.0289, Test Loss: 0.0000, Test Accuracy: 0.0050, Top5 Accuracy: 0.0300
+Epoch 15/40 - v2 Accuracy:0.49 - v4 Accuracy:0.285 - v10 Accuracy:0.135 - v50 Accuracy:0.025 - v100 Accuracy:0.005
+Epoch 16/40 - Train Loss: 2.1307, Train Accuracy: 0.0334, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0100
+Epoch 16/40 - v2 Accuracy:0.5 - v4 Accuracy:0.25 - v10 Accuracy:0.135 - v50 Accuracy:0.01 - v100 Accuracy:0.0
+Epoch 17/40 - Train Loss: 1.9742, Train Accuracy: 0.0365, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0200
+Epoch 17/40 - v2 Accuracy:0.51 - v4 Accuracy:0.245 - v10 Accuracy:0.095 - v50 Accuracy:0.03 - v100 Accuracy:0.01
+Epoch 18/40 - Train Loss: 1.8304, Train Accuracy: 0.0399, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0150
+Epoch 18/40 - v2 Accuracy:0.53 - v4 Accuracy:0.23 - v10 Accuracy:0.095 - v50 Accuracy:0.01 - v100 Accuracy:0.005
+Epoch 19/40 - Train Loss: 1.6864, Train Accuracy: 0.0438, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0100
+Epoch 19/40 - v2 Accuracy:0.465 - v4 Accuracy:0.24 - v10 Accuracy:0.105 - v50 Accuracy:0.005 - v100 Accuracy:0.01
+Epoch 20/40 - Train Loss: 1.5747, Train Accuracy: 0.0464, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0100
+Epoch 20/40 - v2 Accuracy:0.52 - v4 Accuracy:0.265 - v10 Accuracy:0.11 - v50 Accuracy:0.005 - v100 Accuracy:0.0
+Epoch 21/40 - Train Loss: 1.4616, Train Accuracy: 0.0515, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0200
+Epoch 21/40 - v2 Accuracy:0.465 - v4 Accuracy:0.19 - v10 Accuracy:0.135 - v50 Accuracy:0.02 - v100 Accuracy:0.005
+Epoch 22/40 - Train Loss: 1.3515, Train Accuracy: 0.0528, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0200
+Epoch 22/40 - v2 Accuracy:0.48 - v4 Accuracy:0.26 - v10 Accuracy:0.08 - v50 Accuracy:0.02 - v100 Accuracy:0.005
+Epoch 23/40 - Train Loss: 1.2482, Train Accuracy: 0.0567, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0050
+Epoch 23/40 - v2 Accuracy:0.5 - v4 Accuracy:0.205 - v10 Accuracy:0.08 - v50 Accuracy:0.0 - v100 Accuracy:0.0
+Epoch 24/40 - Train Loss: 1.1593, Train Accuracy: 0.0610, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0250
+Epoch 24/40 - v2 Accuracy:0.51 - v4 Accuracy:0.26 - v10 Accuracy:0.1 - v50 Accuracy:0.025 - v100 Accuracy:0.01
+Epoch 25/40 - Train Loss: 1.0849, Train Accuracy: 0.0651, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0150
+Epoch 25/40 - v2 Accuracy:0.49 - v4 Accuracy:0.245 - v10 Accuracy:0.115 - v50 Accuracy:0.01 - v100 Accuracy:0.005
+Epoch 26/40 - Train Loss: 1.0062, Train Accuracy: 0.0689, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0200
+Epoch 26/40 - v2 Accuracy:0.505 - v4 Accuracy:0.275 - v10 Accuracy:0.125 - v50 Accuracy:0.015 - v100 Accuracy:0.0
+Epoch 27/40 - Train Loss: 0.9413, Train Accuracy: 0.0705, Test Loss: 0.0000, Test Accuracy: 0.0050, Top5 Accuracy: 0.0150
+Epoch 27/40 - v2 Accuracy:0.45 - v4 Accuracy:0.235 - v10 Accuracy:0.08 - v50 Accuracy:0.015 - v100 Accuracy:0.005
+Epoch 28/40 - Train Loss: 0.8694, Train Accuracy: 0.0754, Test Loss: 0.0000, Test Accuracy: 0.0050, Top5 Accuracy: 0.0300
+Epoch 28/40 - v2 Accuracy:0.5 - v4 Accuracy:0.255 - v10 Accuracy:0.1 - v50 Accuracy:0.015 - v100 Accuracy:0.005
+Epoch 29/40 - Train Loss: 0.8214, Train Accuracy: 0.0803, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0150
+Epoch 29/40 - v2 Accuracy:0.46 - v4 Accuracy:0.295 - v10 Accuracy:0.105 - v50 Accuracy:0.005 - v100 Accuracy:0.005
+Epoch 30/40 - Train Loss: 0.7724, Train Accuracy: 0.0826, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0100
+Epoch 30/40 - v2 Accuracy:0.505 - v4 Accuracy:0.23 - v10 Accuracy:0.14 - v50 Accuracy:0.005 - v100 Accuracy:0.0
+Epoch 31/40 - Train Loss: 0.7277, Train Accuracy: 0.0862, Test Loss: 0.0000, Test Accuracy: 0.0050, Top5 Accuracy: 0.0150
+Epoch 31/40 - v2 Accuracy:0.52 - v4 Accuracy:0.255 - v10 Accuracy:0.115 - v50 Accuracy:0.01 - v100 Accuracy:0.005
+Epoch 32/40 - Train Loss: 0.6836, Train Accuracy: 0.0920, Test Loss: 0.0000, Test Accuracy: 0.0100, Top5 Accuracy: 0.0200
+Epoch 32/40 - v2 Accuracy:0.51 - v4 Accuracy:0.295 - v10 Accuracy:0.095 - v50 Accuracy:0.025 - v100 Accuracy:0.01
+Epoch 33/40 - Train Loss: 0.6483, Train Accuracy: 0.0911, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0050
+Epoch 33/40 - v2 Accuracy:0.54 - v4 Accuracy:0.21 - v10 Accuracy:0.1 - v50 Accuracy:0.0 - v100 Accuracy:0.0
+Epoch 34/40 - Train Loss: 0.6252, Train Accuracy: 0.0941, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0200
+Epoch 34/40 - v2 Accuracy:0.515 - v4 Accuracy:0.27 - v10 Accuracy:0.11 - v50 Accuracy:0.005 - v100 Accuracy:0.0
+Epoch 35/40 - Train Loss: 0.5949, Train Accuracy: 0.1003, Test Loss: 0.0000, Test Accuracy: 0.0050, Top5 Accuracy: 0.0250
+Epoch 35/40 - v2 Accuracy:0.5 - v4 Accuracy:0.23 - v10 Accuracy:0.14 - v50 Accuracy:0.025 - v100 Accuracy:0.005
+Epoch 36/40 - Train Loss: 0.5632, Train Accuracy: 0.1004, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0300
+Epoch 36/40 - v2 Accuracy:0.48 - v4 Accuracy:0.3 - v10 Accuracy:0.085 - v50 Accuracy:0.02 - v100 Accuracy:0.02
+Epoch 37/40 - Train Loss: 0.5430, Train Accuracy: 0.1053, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0150
+Epoch 37/40 - v2 Accuracy:0.545 - v4 Accuracy:0.235 - v10 Accuracy:0.075 - v50 Accuracy:0.02 - v100 Accuracy:0.005
+Epoch 38/40 - Train Loss: 0.5133, Train Accuracy: 0.1079, Test Loss: 0.0000, Test Accuracy: 0.0050, Top5 Accuracy: 0.0100
+Epoch 38/40 - v2 Accuracy:0.52 - v4 Accuracy:0.235 - v10 Accuracy:0.11 - v50 Accuracy:0.005 - v100 Accuracy:0.005
+Epoch 39/40 - Train Loss: 0.4974, Train Accuracy: 0.1122, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0150
+Epoch 39/40 - v2 Accuracy:0.51 - v4 Accuracy:0.25 - v10 Accuracy:0.105 - v50 Accuracy:0.01 - v100 Accuracy:0.0
+Epoch 40/40 - Train Loss: 0.4775, Train Accuracy: 0.1141, Test Loss: 0.0000, Test Accuracy: 0.0000, Top5 Accuracy: 0.0150
+Epoch 40/40 - v2 Accuracy:0.55 - v4 Accuracy:0.235 - v10 Accuracy:0.115 - v50 Accuracy:0.01 - v100 Accuracy:0.01
+Epoch 1/40 - Train Loss: 2.8419, Train Accuracy: 0.0085, Test Loss: 0.0000, Test Accuracy: 0.1400, Top5 Accuracy: 0.3850
+Epoch 1/40 - v2 Accuracy:0.91 - v4 Accuracy:0.785 - v10 Accuracy:0.585 - v50 Accuracy:0.3 - v100 Accuracy:0.22
+Epoch 2/40 - Train Loss: 1.7146, Train Accuracy: 0.0230, Test Loss: 0.0000, Test Accuracy: 0.2750, Top5 Accuracy: 0.5750
+Epoch 2/40 - v2 Accuracy:0.965 - v4 Accuracy:0.845 - v10 Accuracy:0.75 - v50 Accuracy:0.455 - v100 Accuracy:0.36
+Epoch 3/40 - Train Loss: 1.1413, Train Accuracy: 0.0376, Test Loss: 0.0000, Test Accuracy: 0.2950, Top5 Accuracy: 0.6750
+Epoch 3/40 - v2 Accuracy:0.965 - v4 Accuracy:0.91 - v10 Accuracy:0.81 - v50 Accuracy:0.535 - v100 Accuracy:0.42
+Epoch 4/40 - Train Loss: 0.8178, Train Accuracy: 0.0518, Test Loss: 0.0000, Test Accuracy: 0.3550, Top5 Accuracy: 0.6300
+Epoch 4/40 - v2 Accuracy:0.965 - v4 Accuracy:0.915 - v10 Accuracy:0.745 - v50 Accuracy:0.565 - v100 Accuracy:0.455
+Epoch 5/40 - Train Loss: 0.6106, Train Accuracy: 0.0622, Test Loss: 0.0000, Test Accuracy: 0.3900, Top5 Accuracy: 0.6700
+Epoch 5/40 - v2 Accuracy:0.95 - v4 Accuracy:0.885 - v10 Accuracy:0.77 - v50 Accuracy:0.515 - v100 Accuracy:0.46
+Epoch 6/40 - Train Loss: 0.4727, Train Accuracy: 0.0726, Test Loss: 0.0000, Test Accuracy: 0.3500, Top5 Accuracy: 0.6550
+Epoch 6/40 - v2 Accuracy:0.98 - v4 Accuracy:0.91 - v10 Accuracy:0.805 - v50 Accuracy:0.535 - v100 Accuracy:0.49
+Epoch 7/40 - Train Loss: 0.3771, Train Accuracy: 0.0799, Test Loss: 0.0000, Test Accuracy: 0.3900, Top5 Accuracy: 0.6750
+Epoch 7/40 - v2 Accuracy:0.97 - v4 Accuracy:0.91 - v10 Accuracy:0.82 - v50 Accuracy:0.59 - v100 Accuracy:0.49
+Epoch 8/40 - Train Loss: 0.3127, Train Accuracy: 0.0896, Test Loss: 0.0000, Test Accuracy: 0.4200, Top5 Accuracy: 0.6900
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+Epoch 9/40 - Train Loss: 0.2676, Train Accuracy: 0.0959, Test Loss: 0.0000, Test Accuracy: 0.4150, Top5 Accuracy: 0.6750
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+Epoch 10/40 - Train Loss: 0.2376, Train Accuracy: 0.1032, Test Loss: 0.0000, Test Accuracy: 0.3950, Top5 Accuracy: 0.6800
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+Epoch 11/40 - Train Loss: 0.2098, Train Accuracy: 0.1073, Test Loss: 0.0000, Test Accuracy: 0.3750, Top5 Accuracy: 0.6700
+Epoch 11/40 - v2 Accuracy:0.965 - v4 Accuracy:0.91 - v10 Accuracy:0.815 - v50 Accuracy:0.58 - v100 Accuracy:0.5
+Epoch 12/40 - Train Loss: 0.1971, Train Accuracy: 0.1114, Test Loss: 0.0000, Test Accuracy: 0.3450, Top5 Accuracy: 0.6600
+Epoch 12/40 - v2 Accuracy:0.97 - v4 Accuracy:0.895 - v10 Accuracy:0.795 - v50 Accuracy:0.515 - v100 Accuracy:0.42
+Epoch 13/40 - Train Loss: 0.1788, Train Accuracy: 0.1177, Test Loss: 0.0000, Test Accuracy: 0.4050, Top5 Accuracy: 0.6600
+Epoch 13/40 - v2 Accuracy:0.97 - v4 Accuracy:0.93 - v10 Accuracy:0.805 - v50 Accuracy:0.565 - v100 Accuracy:0.49
+Epoch 14/40 - Train Loss: 0.1700, Train Accuracy: 0.1219, Test Loss: 0.0000, Test Accuracy: 0.3600, Top5 Accuracy: 0.6450
+Epoch 14/40 - v2 Accuracy:0.985 - v4 Accuracy:0.91 - v10 Accuracy:0.785 - v50 Accuracy:0.565 - v100 Accuracy:0.435
+Epoch 15/40 - Train Loss: 0.1550, Train Accuracy: 0.1266, Test Loss: 0.0000, Test Accuracy: 0.3800, Top5 Accuracy: 0.6450
+Epoch 15/40 - v2 Accuracy:0.965 - v4 Accuracy:0.885 - v10 Accuracy:0.81 - v50 Accuracy:0.55 - v100 Accuracy:0.46
+Epoch 16/40 - Train Loss: 0.1485, Train Accuracy: 0.1289, Test Loss: 0.0000, Test Accuracy: 0.3300, Top5 Accuracy: 0.6550
+Epoch 16/40 - v2 Accuracy:0.96 - v4 Accuracy:0.925 - v10 Accuracy:0.79 - v50 Accuracy:0.565 - v100 Accuracy:0.445
+Epoch 17/40 - Train Loss: 0.1386, Train Accuracy: 0.1345, Test Loss: 0.0000, Test Accuracy: 0.3350, Top5 Accuracy: 0.6650
+Epoch 17/40 - v2 Accuracy:0.94 - v4 Accuracy:0.91 - v10 Accuracy:0.79 - v50 Accuracy:0.565 - v100 Accuracy:0.435
+Epoch 18/40 - Train Loss: 0.1300, Train Accuracy: 0.1376, Test Loss: 0.0000, Test Accuracy: 0.3700, Top5 Accuracy: 0.6700
+Epoch 18/40 - v2 Accuracy:0.975 - v4 Accuracy:0.91 - v10 Accuracy:0.8 - v50 Accuracy:0.555 - v100 Accuracy:0.42
+Epoch 19/40 - Train Loss: 0.1244, Train Accuracy: 0.1403, Test Loss: 0.0000, Test Accuracy: 0.3550, Top5 Accuracy: 0.6350
+Epoch 19/40 - v2 Accuracy:0.955 - v4 Accuracy:0.91 - v10 Accuracy:0.785 - v50 Accuracy:0.585 - v100 Accuracy:0.44
+Epoch 20/40 - Train Loss: 0.1211, Train Accuracy: 0.1405, Test Loss: 0.0000, Test Accuracy: 0.3500, Top5 Accuracy: 0.6550
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+Epoch 21/40 - Train Loss: 0.1157, Train Accuracy: 0.1457, Test Loss: 0.0000, Test Accuracy: 0.3800, Top5 Accuracy: 0.6450
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+Epoch 26/40 - v2 Accuracy:0.98 - v4 Accuracy:0.875 - v10 Accuracy:0.81 - v50 Accuracy:0.53 - v100 Accuracy:0.455
+Epoch 27/40 - Train Loss: 0.0925, Train Accuracy: 0.1577, Test Loss: 0.0000, Test Accuracy: 0.3400, Top5 Accuracy: 0.6600
+Epoch 27/40 - v2 Accuracy:0.97 - v4 Accuracy:0.89 - v10 Accuracy:0.775 - v50 Accuracy:0.56 - v100 Accuracy:0.485
+Epoch 28/40 - Train Loss: 0.0876, Train Accuracy: 0.1600, Test Loss: 0.0000, Test Accuracy: 0.3800, Top5 Accuracy: 0.6650
+Epoch 28/40 - v2 Accuracy:0.98 - v4 Accuracy:0.905 - v10 Accuracy:0.8 - v50 Accuracy:0.565 - v100 Accuracy:0.465
+Epoch 29/40 - Train Loss: 0.0879, Train Accuracy: 0.1614, Test Loss: 0.0000, Test Accuracy: 0.3700, Top5 Accuracy: 0.6550
+Epoch 29/40 - v2 Accuracy:0.95 - v4 Accuracy:0.885 - v10 Accuracy:0.795 - v50 Accuracy:0.565 - v100 Accuracy:0.455
+Epoch 30/40 - Train Loss: 0.0820, Train Accuracy: 0.1646, Test Loss: 0.0000, Test Accuracy: 0.3750, Top5 Accuracy: 0.6700
+Epoch 30/40 - v2 Accuracy:0.96 - v4 Accuracy:0.88 - v10 Accuracy:0.76 - v50 Accuracy:0.545 - v100 Accuracy:0.47
+Epoch 31/40 - Train Loss: 0.0811, Train Accuracy: 0.1656, Test Loss: 0.0000, Test Accuracy: 0.3650, Top5 Accuracy: 0.6250
+Epoch 31/40 - v2 Accuracy:0.965 - v4 Accuracy:0.89 - v10 Accuracy:0.78 - v50 Accuracy:0.57 - v100 Accuracy:0.48
+Epoch 32/40 - Train Loss: 0.0794, Train Accuracy: 0.1675, Test Loss: 0.0000, Test Accuracy: 0.3900, Top5 Accuracy: 0.6550
+Epoch 32/40 - v2 Accuracy:0.95 - v4 Accuracy:0.905 - v10 Accuracy:0.8 - v50 Accuracy:0.555 - v100 Accuracy:0.485
+Epoch 33/40 - Train Loss: 0.0776, Train Accuracy: 0.1707, Test Loss: 0.0000, Test Accuracy: 0.3750, Top5 Accuracy: 0.6600
+Epoch 33/40 - v2 Accuracy:0.965 - v4 Accuracy:0.905 - v10 Accuracy:0.775 - v50 Accuracy:0.525 - v100 Accuracy:0.46
+Epoch 34/40 - Train Loss: 0.0757, Train Accuracy: 0.1714, Test Loss: 0.0000, Test Accuracy: 0.3650, Top5 Accuracy: 0.6200
+Epoch 34/40 - v2 Accuracy:0.935 - v4 Accuracy:0.9 - v10 Accuracy:0.72 - v50 Accuracy:0.51 - v100 Accuracy:0.42
+Epoch 35/40 - Train Loss: 0.0750, Train Accuracy: 0.1728, Test Loss: 0.0000, Test Accuracy: 0.3900, Top5 Accuracy: 0.6450
+Epoch 35/40 - v2 Accuracy:0.93 - v4 Accuracy:0.905 - v10 Accuracy:0.795 - v50 Accuracy:0.545 - v100 Accuracy:0.44
+Epoch 36/40 - Train Loss: 0.0729, Train Accuracy: 0.1739, Test Loss: 0.0000, Test Accuracy: 0.3550, Top5 Accuracy: 0.6300
+Epoch 36/40 - v2 Accuracy:0.975 - v4 Accuracy:0.91 - v10 Accuracy:0.78 - v50 Accuracy:0.585 - v100 Accuracy:0.42
+Epoch 37/40 - Train Loss: 0.0669, Train Accuracy: 0.1799, Test Loss: 0.0000, Test Accuracy: 0.3450, Top5 Accuracy: 0.6200
+Epoch 37/40 - v2 Accuracy:0.95 - v4 Accuracy:0.895 - v10 Accuracy:0.72 - v50 Accuracy:0.52 - v100 Accuracy:0.42
+Epoch 38/40 - Train Loss: 0.0708, Train Accuracy: 0.1791, Test Loss: 0.0000, Test Accuracy: 0.3600, Top5 Accuracy: 0.6300
+Epoch 38/40 - v2 Accuracy:0.97 - v4 Accuracy:0.91 - v10 Accuracy:0.775 - v50 Accuracy:0.545 - v100 Accuracy:0.465
+Epoch 39/40 - Train Loss: 0.0665, Train Accuracy: 0.1793, Test Loss: 0.0000, Test Accuracy: 0.3650, Top5 Accuracy: 0.6450
+Epoch 39/40 - v2 Accuracy:0.965 - v4 Accuracy:0.89 - v10 Accuracy:0.74 - v50 Accuracy:0.545 - v100 Accuracy:0.445
+Epoch 40/40 - Train Loss: 0.0669, Train Accuracy: 0.1796, Test Loss: 0.0000, Test Accuracy: 0.3950, Top5 Accuracy: 0.6550
+Epoch 40/40 - v2 Accuracy:0.95 - v4 Accuracy:0.92 - v10 Accuracy:0.83 - v50 Accuracy:0.59 - v100 Accuracy:0.47

sub_model/sub-01/diffusion_alexnet/pretrained_True/gene_true/ATMS_sub-01.csv

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sub_model/sub-01/diffusion_alexnet/pretrained_True/gene_true/ATM_S_reconstruction_scale_0_1000_10.pth

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