lr: 0.0001
sub_1:Test (Best Model) - Loss: 0.2090 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_1:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_1:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_1:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_1:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_1:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_1:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_1:Test (Best Model) - Loss: 0.2304 - Accuracy: 0.5455 - F1: 0.3529
sub_1:Test (Best Model) - Loss: 0.2304 - Accuracy: 0.5455 - F1: 0.3529
sub_1:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_1:Test (Best Model) - Loss: 0.2131 - Accuracy: 0.7000 - F1: 0.6970
sub_1:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_1:Test (Best Model) - Loss: 0.2147 - Accuracy: 0.6000 - F1: 0.3750
sub_1:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_2:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_2:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_2:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_2:Test (Best Model) - Loss: 0.2305 - Accuracy: 0.5455 - F1: 0.3529
sub_2:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_2:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_2:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_2:Test (Best Model) - Loss: 0.2142 - Accuracy: 0.5000 - F1: 0.3333
sub_2:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_2:Test (Best Model) - Loss: 0.2076 - Accuracy: 0.7000 - F1: 0.6703
sub_2:Test (Best Model) - Loss: 0.2300 - Accuracy: 0.5455 - F1: 0.3529
sub_2:Test (Best Model) - Loss: 0.2301 - Accuracy: 0.5455 - F1: 0.3529
sub_2:Test (Best Model) - Loss: 0.2299 - Accuracy: 0.5455 - F1: 0.3529
sub_2:Test (Best Model) - Loss: 0.2240 - Accuracy: 0.6364 - F1: 0.5417
sub_2:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_3:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_3:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_3:Test (Best Model) - Loss: 0.2152 - Accuracy: 0.6000 - F1: 0.3750
sub_3:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_3:Test (Best Model) - Loss: 0.2174 - Accuracy: 0.6000 - F1: 0.5833
sub_3:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_3:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_3:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_3:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_3:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_3:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_3:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_3:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_3:Test (Best Model) - Loss: 0.2304 - Accuracy: 0.5455 - F1: 0.3529
sub_3:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_4:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_4:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_4:Test (Best Model) - Loss: 0.2178 - Accuracy: 0.9091 - F1: 0.9091
sub_4:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_4:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_4:Test (Best Model) - Loss: 0.2304 - Accuracy: 0.9091 - F1: 0.9091
sub_4:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_4:Test (Best Model) - Loss: 0.2300 - Accuracy: 0.5455 - F1: 0.3529
sub_4:Test (Best Model) - Loss: 0.2119 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_4:Test (Best Model) - Loss: 0.2304 - Accuracy: 0.5455 - F1: 0.3529
sub_4:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_4:Test (Best Model) - Loss: 0.2234 - Accuracy: 0.8182 - F1: 0.8036
sub_4:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_4:Test (Best Model) - Loss: 0.2064 - Accuracy: 0.7273 - F1: 0.7179
sub_5:Test (Best Model) - Loss: 0.2248 - Accuracy: 0.1000 - F1: 0.0909
sub_5:Test (Best Model) - Loss: 0.1912 - Accuracy: 0.9000 - F1: 0.8901
sub_5:Test (Best Model) - Loss: 0.2153 - Accuracy: 0.6000 - F1: 0.3750
sub_5:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_5:Test (Best Model) - Loss: 0.2152 - Accuracy: 0.6000 - F1: 0.3750
sub_5:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_5:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_5:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_5:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_5:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_5:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_5:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_5:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_5:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_5:Test (Best Model) - Loss: 0.2147 - Accuracy: 0.6000 - F1: 0.3750
sub_6:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_6:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_6:Test (Best Model) - Loss: 0.2147 - Accuracy: 0.6000 - F1: 0.3750
sub_6:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_6:Test (Best Model) - Loss: 0.2146 - Accuracy: 0.6000 - F1: 0.3750
sub_6:Test (Best Model) - Loss: 0.2298 - Accuracy: 0.5455 - F1: 0.3529
sub_6:Test (Best Model) - Loss: 0.2304 - Accuracy: 0.5455 - F1: 0.3529
sub_6:Test (Best Model) - Loss: 0.2304 - Accuracy: 0.5455 - F1: 0.3529
sub_6:Test (Best Model) - Loss: 0.2304 - Accuracy: 0.5455 - F1: 0.3529
sub_6:Test (Best Model) - Loss: 0.2320 - Accuracy: 0.5455 - F1: 0.5299
sub_6:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_6:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_6:Test (Best Model) - Loss: 0.2301 - Accuracy: 0.5455 - F1: 0.3529
sub_6:Test (Best Model) - Loss: 0.2301 - Accuracy: 0.5455 - F1: 0.3529
sub_6:Test (Best Model) - Loss: 0.2133 - Accuracy: 0.7273 - F1: 0.6857
sub_7:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_7:Test (Best Model) - Loss: 0.2152 - Accuracy: 0.6000 - F1: 0.3750
sub_7:Test (Best Model) - Loss: 0.2153 - Accuracy: 0.6000 - F1: 0.3750
sub_7:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_7:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_7:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_7:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_7:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_7:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_7:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_7:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_7:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_7:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_7:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_7:Test (Best Model) - Loss: 0.2152 - Accuracy: 0.6000 - F1: 0.3750
sub_8:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_8:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_8:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_8:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_8:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_8:Test (Best Model) - Loss: 0.2152 - Accuracy: 0.6000 - F1: 0.3750
sub_8:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_8:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_8:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_8:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_8:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_8:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_8:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_8:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_8:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_9:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_9:Test (Best Model) - Loss: 0.2153 - Accuracy: 0.6000 - F1: 0.3750
sub_9:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_9:Test (Best Model) - Loss: 0.2152 - Accuracy: 0.6000 - F1: 0.3750
sub_9:Test (Best Model) - Loss: 0.2050 - Accuracy: 0.8000 - F1: 0.7917
sub_9:Test (Best Model) - Loss: 0.2146 - Accuracy: 0.6000 - F1: 0.3750
sub_9:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_9:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_9:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_9:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_9:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_9:Test (Best Model) - Loss: 0.2152 - Accuracy: 0.6000 - F1: 0.3750
sub_9:Test (Best Model) - Loss: 0.2154 - Accuracy: 0.6000 - F1: 0.3750
sub_9:Test (Best Model) - Loss: 0.2152 - Accuracy: 0.6000 - F1: 0.3750
sub_9:Test (Best Model) - Loss: 0.2153 - Accuracy: 0.6000 - F1: 0.3750
sub_10:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_10:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_10:Test (Best Model) - Loss: 0.2152 - Accuracy: 0.6000 - F1: 0.3750
sub_10:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_10:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_10:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_10:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_10:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_10:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_10:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_10:Test (Best Model) - Loss: 0.2301 - Accuracy: 0.5455 - F1: 0.3529
sub_10:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_10:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_10:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_10:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 0.2356 - Accuracy: 0.4545 - F1: 0.4107
sub_11:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 0.2219 - Accuracy: 0.6364 - F1: 0.5417
sub_11:Test (Best Model) - Loss: 0.2294 - Accuracy: 0.6364 - F1: 0.6071
sub_11:Test (Best Model) - Loss: 0.2305 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 0.2304 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 0.2304 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 0.2319 - Accuracy: 0.5455 - F1: 0.3529
sub_11:Test (Best Model) - Loss: 0.2352 - Accuracy: 0.2727 - F1: 0.2667
sub_12:Test (Best Model) - Loss: 0.1917 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_12:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_12:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_12:Test (Best Model) - Loss: 0.1358 - Accuracy: 0.9000 - F1: 0.8990
sub_12:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_12:Test (Best Model) - Loss: 0.2131 - Accuracy: 0.8182 - F1: 0.8036
sub_12:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_12:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_12:Test (Best Model) - Loss: 0.2301 - Accuracy: 0.5455 - F1: 0.3529
sub_12:Test (Best Model) - Loss: 0.1766 - Accuracy: 0.9000 - F1: 0.8901
sub_12:Test (Best Model) - Loss: 0.2147 - Accuracy: 0.6000 - F1: 0.3750
sub_12:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_12:Test (Best Model) - Loss: 0.1872 - Accuracy: 0.7000 - F1: 0.6970
sub_12:Test (Best Model) - Loss: 0.2147 - Accuracy: 0.6000 - F1: 0.3750
sub_13:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_13:Test (Best Model) - Loss: 0.2146 - Accuracy: 0.6000 - F1: 0.3750
sub_13:Test (Best Model) - Loss: 0.2152 - Accuracy: 0.6000 - F1: 0.3750
sub_13:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_13:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_13:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_13:Test (Best Model) - Loss: 0.2304 - Accuracy: 0.5455 - F1: 0.3529
sub_13:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_13:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_13:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_13:Test (Best Model) - Loss: 0.2146 - Accuracy: 0.6000 - F1: 0.3750
sub_13:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_13:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_13:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_13:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_14:Test (Best Model) - Loss: 0.2153 - Accuracy: 0.6000 - F1: 0.3750
sub_14:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_14:Test (Best Model) - Loss: 0.2153 - Accuracy: 0.6000 - F1: 0.3750
sub_14:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_14:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_14:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_14:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_14:Test (Best Model) - Loss: 0.2152 - Accuracy: 0.6000 - F1: 0.3750
sub_14:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_14:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_14:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_14:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_14:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_14:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_14:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_15:Test (Best Model) - Loss: 0.2158 - Accuracy: 0.7000 - F1: 0.6970
sub_15:Test (Best Model) - Loss: 0.1953 - Accuracy: 0.9000 - F1: 0.8901
sub_15:Test (Best Model) - Loss: 0.2152 - Accuracy: 0.6000 - F1: 0.3750
sub_15:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_15:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_15:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_15:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_15:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_15:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_15:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_15:Test (Best Model) - Loss: 0.2056 - Accuracy: 0.7000 - F1: 0.6000
sub_15:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_15:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_15:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_15:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_16:Test (Best Model) - Loss: 0.2146 - Accuracy: 0.6000 - F1: 0.3750
sub_16:Test (Best Model) - Loss: 0.2147 - Accuracy: 0.6000 - F1: 0.3750
sub_16:Test (Best Model) - Loss: 0.2146 - Accuracy: 0.6000 - F1: 0.3750
sub_16:Test (Best Model) - Loss: 0.2147 - Accuracy: 0.6000 - F1: 0.3750
sub_16:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_16:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_16:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_16:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_16:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_16:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_16:Test (Best Model) - Loss: 0.2143 - Accuracy: 0.6000 - F1: 0.3750
sub_16:Test (Best Model) - Loss: 0.2146 - Accuracy: 0.6000 - F1: 0.3750
sub_16:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_16:Test (Best Model) - Loss: 0.2147 - Accuracy: 0.6000 - F1: 0.3750
sub_16:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_17:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_17:Test (Best Model) - Loss: 0.2301 - Accuracy: 0.5455 - F1: 0.3529
sub_17:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_17:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_17:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_17:Test (Best Model) - Loss: 0.2304 - Accuracy: 0.5455 - F1: 0.3529
sub_17:Test (Best Model) - Loss: 0.2304 - Accuracy: 0.5455 - F1: 0.3529
sub_17:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_17:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_17:Test (Best Model) - Loss: 0.2304 - Accuracy: 0.5455 - F1: 0.3529
sub_17:Test (Best Model) - Loss: 0.2152 - Accuracy: 0.6000 - F1: 0.3750
sub_17:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_17:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_17:Test (Best Model) - Loss: 0.2154 - Accuracy: 0.6000 - F1: 0.3750
sub_17:Test (Best Model) - Loss: 0.2153 - Accuracy: 0.6000 - F1: 0.3750
sub_18:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_18:Test (Best Model) - Loss: 0.2116 - Accuracy: 0.8182 - F1: 0.8036
sub_18:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_18:Test (Best Model) - Loss: 0.2305 - Accuracy: 0.5455 - F1: 0.3529
sub_18:Test (Best Model) - Loss: 0.2267 - Accuracy: 0.7273 - F1: 0.7179
sub_18:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_18:Test (Best Model) - Loss: 0.2147 - Accuracy: 0.6000 - F1: 0.3750
sub_18:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_18:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_18:Test (Best Model) - Loss: 0.2088 - Accuracy: 0.9000 - F1: 0.8901
sub_18:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_18:Test (Best Model) - Loss: 0.1930 - Accuracy: 0.9000 - F1: 0.8901
sub_18:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_18:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_18:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_19:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_19:Test (Best Model) - Loss: 0.2095 - Accuracy: 0.7000 - F1: 0.6970
sub_19:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_19:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_19:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_19:Test (Best Model) - Loss: 0.2153 - Accuracy: 0.6000 - F1: 0.3750
sub_19:Test (Best Model) - Loss: 0.2056 - Accuracy: 0.8000 - F1: 0.8000
sub_19:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_19:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_19:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_19:Test (Best Model) - Loss: 0.2146 - Accuracy: 0.6000 - F1: 0.3750
sub_19:Test (Best Model) - Loss: 0.2195 - Accuracy: 0.4000 - F1: 0.2857
sub_19:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_19:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_19:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_20:Test (Best Model) - Loss: 0.2145 - Accuracy: 0.6000 - F1: 0.3750
sub_20:Test (Best Model) - Loss: 0.2146 - Accuracy: 0.6000 - F1: 0.3750
sub_20:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_20:Test (Best Model) - Loss: 0.2147 - Accuracy: 0.6000 - F1: 0.3750
sub_20:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_20:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_20:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_20:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_20:Test (Best Model) - Loss: 0.2147 - Accuracy: 0.6000 - F1: 0.3750
sub_20:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_20:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_20:Test (Best Model) - Loss: 0.2187 - Accuracy: 0.9091 - F1: 0.9091
sub_20:Test (Best Model) - Loss: 0.2300 - Accuracy: 0.5455 - F1: 0.3529
sub_20:Test (Best Model) - Loss: 0.2304 - Accuracy: 0.5455 - F1: 0.3529
sub_20:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_21:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_21:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_21:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_21:Test (Best Model) - Loss: 0.2153 - Accuracy: 0.6000 - F1: 0.3750
sub_21:Test (Best Model) - Loss: 0.2182 - Accuracy: 0.5000 - F1: 0.4949
sub_21:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_21:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_21:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_21:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_21:Test (Best Model) - Loss: 0.2147 - Accuracy: 0.6000 - F1: 0.3750
sub_21:Test (Best Model) - Loss: 0.2147 - Accuracy: 0.6000 - F1: 0.3750
sub_21:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_21:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_21:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_21:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_22:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_22:Test (Best Model) - Loss: 0.2153 - Accuracy: 0.6000 - F1: 0.3750
sub_22:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_22:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_22:Test (Best Model) - Loss: 0.2152 - Accuracy: 0.6000 - F1: 0.3750
sub_22:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_22:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_22:Test (Best Model) - Loss: 0.2301 - Accuracy: 0.5455 - F1: 0.3529
sub_22:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_22:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_22:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_22:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_22:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_22:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_22:Test (Best Model) - Loss: 0.2152 - Accuracy: 0.6000 - F1: 0.3750
sub_23:Test (Best Model) - Loss: 0.2304 - Accuracy: 0.5455 - F1: 0.3529
sub_23:Test (Best Model) - Loss: 0.2304 - Accuracy: 0.5455 - F1: 0.3529
sub_23:Test (Best Model) - Loss: 0.2305 - Accuracy: 0.5455 - F1: 0.3529
sub_23:Test (Best Model) - Loss: 0.2305 - Accuracy: 0.5455 - F1: 0.3529
sub_23:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_23:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_23:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_23:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_23:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_23:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_23:Test (Best Model) - Loss: 0.2304 - Accuracy: 0.5455 - F1: 0.3529
sub_23:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_23:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_23:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_23:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_24:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_24:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_24:Test (Best Model) - Loss: 0.2152 - Accuracy: 0.6000 - F1: 0.3750
sub_24:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_24:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_24:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_24:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_24:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_24:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_24:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_24:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_24:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_24:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_24:Test (Best Model) - Loss: 0.2152 - Accuracy: 0.6000 - F1: 0.3750
sub_24:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_25:Test (Best Model) - Loss: 0.2301 - Accuracy: 0.5455 - F1: 0.3529
sub_25:Test (Best Model) - Loss: 0.2299 - Accuracy: 0.5455 - F1: 0.3529
sub_25:Test (Best Model) - Loss: 0.2297 - Accuracy: 0.5455 - F1: 0.3529
sub_25:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_25:Test (Best Model) - Loss: 0.1864 - Accuracy: 0.8182 - F1: 0.8167
sub_25:Test (Best Model) - Loss: 0.2092 - Accuracy: 0.6000 - F1: 0.5238
sub_25:Test (Best Model) - Loss: 0.2147 - Accuracy: 0.6000 - F1: 0.3750
sub_25:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_25:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_25:Test (Best Model) - Loss: 0.2085 - Accuracy: 0.7000 - F1: 0.6000
sub_25:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_25:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_25:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_25:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_25:Test (Best Model) - Loss: 0.2174 - Accuracy: 0.5000 - F1: 0.4949
sub_26:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_26:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_26:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_26:Test (Best Model) - Loss: 0.2194 - Accuracy: 0.8182 - F1: 0.8167
sub_26:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_26:Test (Best Model) - Loss: 0.2099 - Accuracy: 0.9000 - F1: 0.8901
sub_26:Test (Best Model) - Loss: 0.2079 - Accuracy: 0.9000 - F1: 0.8901
sub_26:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_26:Test (Best Model) - Loss: 0.2153 - Accuracy: 0.6000 - F1: 0.3750
sub_26:Test (Best Model) - Loss: 0.2154 - Accuracy: 0.6000 - F1: 0.3750
sub_26:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_26:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_26:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_26:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_26:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_27:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_27:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_27:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_27:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_27:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_27:Test (Best Model) - Loss: 0.2304 - Accuracy: 0.5455 - F1: 0.3529
sub_27:Test (Best Model) - Loss: 0.2302 - Accuracy: 0.5455 - F1: 0.3529
sub_27:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_27:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_27:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_27:Test (Best Model) - Loss: 0.2151 - Accuracy: 0.6000 - F1: 0.3750
sub_27:Test (Best Model) - Loss: 0.2152 - Accuracy: 0.6000 - F1: 0.3750
sub_27:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_27:Test (Best Model) - Loss: 0.2153 - Accuracy: 0.6000 - F1: 0.3750
sub_27:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_28:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_28:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_28:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_28:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_28:Test (Best Model) - Loss: 0.2147 - Accuracy: 0.6000 - F1: 0.3750
sub_28:Test (Best Model) - Loss: 0.2157 - Accuracy: 0.6000 - F1: 0.3750
sub_28:Test (Best Model) - Loss: 0.2155 - Accuracy: 0.6000 - F1: 0.3750
sub_28:Test (Best Model) - Loss: 0.2153 - Accuracy: 0.6000 - F1: 0.3750
sub_28:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_28:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_28:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_28:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_28:Test (Best Model) - Loss: 0.2147 - Accuracy: 0.6000 - F1: 0.3750
sub_28:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_28:Test (Best Model) - Loss: 0.2150 - Accuracy: 0.6000 - F1: 0.3750
sub_29:Test (Best Model) - Loss: 0.1865 - Accuracy: 0.9000 - F1: 0.8901
sub_29:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_29:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_29:Test (Best Model) - Loss: 0.2149 - Accuracy: 0.6000 - F1: 0.3750
sub_29:Test (Best Model) - Loss: 0.1734 - Accuracy: 0.9000 - F1: 0.8901
sub_29:Test (Best Model) - Loss: 0.2075 - Accuracy: 0.9000 - F1: 0.8901
sub_29:Test (Best Model) - Loss: 0.2147 - Accuracy: 0.6000 - F1: 0.3750
sub_29:Test (Best Model) - Loss: 0.2148 - Accuracy: 0.6000 - F1: 0.3750
sub_29:Test (Best Model) - Loss: 0.1658 - Accuracy: 0.9000 - F1: 0.8901
sub_29:Test (Best Model) - Loss: 0.2031 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.2146 - Accuracy: 0.6364 - F1: 0.5417
sub_29:Test (Best Model) - Loss: 0.2203 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529
sub_29:Test (Best Model) - Loss: 0.2206 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.2303 - Accuracy: 0.5455 - F1: 0.3529

=== Summary Results ===

acc:   60.37 ± 4.17
F1:    41.17 ± 6.41
acc‑in:73.05 ± 4.08
F1‑in: 55.64 ± 7.38
