lr: 1e-05
sub_1:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_1:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_1:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_1:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_1:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_1:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_1:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_1:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_1:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_1:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_1:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_1:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_1:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_1:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_1:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_2:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_2:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_2:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_2:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_2:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_2:Test (Best Model) - Loss: 0.1729 - Accuracy: 0.6250 - F1: 0.3846
sub_2:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_2:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_2:Test (Best Model) - Loss: 0.1729 - Accuracy: 0.6250 - F1: 0.3846
sub_2:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_2:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_2:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_2:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_2:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_2:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_3:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_3:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_3:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.6250 - F1: 0.3846
sub_3:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_3:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_3:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_3:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_3:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_3:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_3:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_3:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_3:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_3:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_3:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_3:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_4:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_4:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_4:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_4:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_4:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_4:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_4:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_4:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_4:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_4:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_4:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_4:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_4:Test (Best Model) - Loss: 0.1666 - Accuracy: 0.6250 - F1: 0.3846
sub_4:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_4:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_5:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.6250 - F1: 0.3846
sub_5:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_5:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_5:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_5:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_5:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_5:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_5:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_5:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_5:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_5:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_5:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_5:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_5:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_5:Test (Best Model) - Loss: 0.1729 - Accuracy: 0.6250 - F1: 0.3846
sub_6:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.6250 - F1: 0.3846
sub_6:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_6:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_6:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_6:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_6:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_6:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_6:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_6:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_6:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_6:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_6:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_6:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_6:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_6:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_7:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_7:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_7:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_7:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_7:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_7:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_7:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_7:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_7:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_7:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_7:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_7:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_7:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_7:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_7:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_8:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_8:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_8:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_8:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_8:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_8:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_8:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_8:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_8:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_8:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_8:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_8:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_8:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_8:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_8:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_9:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_9:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_9:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_9:Test (Best Model) - Loss: 0.1729 - Accuracy: 0.6250 - F1: 0.3846
sub_9:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_9:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_9:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_9:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_9:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_9:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_9:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_9:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.6250 - F1: 0.3846
sub_9:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.6250 - F1: 0.3846
sub_9:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_9:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_10:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_10:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_10:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_10:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_10:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_10:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_10:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_10:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_10:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_10:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_10:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_10:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_10:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_10:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_10:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_11:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_11:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_11:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_11:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_11:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_11:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_11:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_11:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_11:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_11:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_11:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_11:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_11:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_11:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_11:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_12:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_12:Test (Best Model) - Loss: 0.1729 - Accuracy: 0.6250 - F1: 0.3846
sub_12:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_12:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_12:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_12:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_12:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_12:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_12:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_12:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_12:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_12:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_12:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_12:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_12:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_13:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_13:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_13:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_13:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_13:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_13:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_13:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_13:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_13:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_13:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_13:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_13:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_13:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_13:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_13:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_14:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
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sub_14:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
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sub_15:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.6250 - F1: 0.3846
sub_15:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
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sub_15:Test (Best Model) - Loss: 0.1729 - Accuracy: 0.6250 - F1: 0.3846
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sub_15:Test (Best Model) - Loss: 0.1729 - Accuracy: 0.6250 - F1: 0.3846
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sub_16:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
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sub_16:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_16:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_17:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_17:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_17:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_17:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_17:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_17:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_17:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_17:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_17:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_17:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_17:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_17:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_17:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_17:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.6250 - F1: 0.3846
sub_17:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_18:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_18:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_18:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_18:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_18:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_18:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_18:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_18:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_18:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_18:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_18:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_18:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_18:Test (Best Model) - Loss: 0.1729 - Accuracy: 0.6250 - F1: 0.3846
sub_18:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_18:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_19:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_19:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_19:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_19:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_19:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_19:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.6250 - F1: 0.3846
sub_19:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_19:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_19:Test (Best Model) - Loss: 0.1729 - Accuracy: 0.6250 - F1: 0.3846
sub_19:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_19:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_19:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.6250 - F1: 0.3846
sub_19:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_19:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_19:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_20:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_20:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_20:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_20:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_20:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_20:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_20:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_20:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_20:Test (Best Model) - Loss: 0.1729 - Accuracy: 0.6250 - F1: 0.3846
sub_20:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_20:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_20:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_20:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_20:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_20:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_21:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_21:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_21:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_21:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_21:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_21:Test (Best Model) - Loss: 0.1729 - Accuracy: 0.6250 - F1: 0.3846
sub_21:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_21:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_21:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_21:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_21:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_21:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.6250 - F1: 0.3846
sub_21:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_21:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_21:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_22:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_22:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_22:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_22:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_22:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_22:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_22:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_22:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_22:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_22:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_22:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_22:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_22:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_22:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_22:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_23:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_23:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_23:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_23:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_23:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_23:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_23:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_23:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_23:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_23:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_23:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_23:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_23:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_23:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_23:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_24:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_24:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_24:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_24:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_24:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_24:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_24:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_24:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_24:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_24:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_24:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_24:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_24:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_24:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_24:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_25:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_25:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_25:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_25:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_25:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_25:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_25:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_25:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_25:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_25:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_25:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_25:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_25:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_25:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_25:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_26:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_26:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_26:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_26:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_26:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_26:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_26:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_26:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_26:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_26:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_26:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_26:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_26:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_26:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_26:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_27:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_27:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_27:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_27:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_27:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_27:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_27:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_27:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_27:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_27:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_27:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_27:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_27:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_27:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_27:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_28:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_28:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_28:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_28:Test (Best Model) - Loss: 0.1729 - Accuracy: 0.6250 - F1: 0.3846
sub_28:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_28:Test (Best Model) - Loss: 0.1732 - Accuracy: 0.6250 - F1: 0.3846
sub_28:Test (Best Model) - Loss: 0.1732 - Accuracy: 0.6250 - F1: 0.3846
sub_28:Test (Best Model) - Loss: 0.1731 - Accuracy: 0.6250 - F1: 0.3846
sub_28:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_28:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_28:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_28:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_28:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_28:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_28:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_29:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_29:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_29:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_29:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_29:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_29:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_29:Test (Best Model) - Loss: 0.1730 - Accuracy: 0.6250 - F1: 0.3846
sub_29:Test (Best Model) - Loss: 0.1729 - Accuracy: 0.6250 - F1: 0.3846
sub_29:Test (Best Model) - Loss: 0.1729 - Accuracy: 0.6250 - F1: 0.3846
sub_29:Test (Best Model) - Loss: 0.1729 - Accuracy: 0.6250 - F1: 0.3846
sub_29:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_29:Test (Best Model) - Loss: 0.1677 - Accuracy: 0.6250 - F1: 0.3846
sub_29:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_29:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846
sub_29:Test (Best Model) - Loss: 0.1678 - Accuracy: 0.6250 - F1: 0.3846

=== Summary Results ===

acc:   62.50 ± 0.00
F1:    38.46 ± 0.00
acc‑in:66.74 ± 0.41
F1‑in: 40.14 ± 0.73
