lr: 0.001
sub_16:Test (Best Model) - Loss: 0.2754 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.3164 - Accuracy: 0.9394 - F1: 0.9380
sub_13:Test (Best Model) - Loss: 0.2536 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.2675 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.2497 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.2614 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.2328 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.2402 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.3962 - Accuracy: 0.8438 - F1: 0.8398
sub_29:Test (Best Model) - Loss: 0.2635 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.2458 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.2507 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.2324 - Accuracy: 0.9688 - F1: 0.9680
sub_7:Test (Best Model) - Loss: 0.2500 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.3148 - Accuracy: 0.9394 - F1: 0.9380
sub_20:Test (Best Model) - Loss: 0.3963 - Accuracy: 0.8750 - F1: 0.8750
sub_6:Test (Best Model) - Loss: 0.5287 - Accuracy: 0.7500 - F1: 0.7460
sub_26:Test (Best Model) - Loss: 0.2465 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.3035 - Accuracy: 0.9375 - F1: 0.9352
sub_5:Test (Best Model) - Loss: 0.2527 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.2566 - Accuracy: 0.9688 - F1: 0.9680
sub_18:Test (Best Model) - Loss: 0.2474 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.2686 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.2495 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.2978 - Accuracy: 0.9697 - F1: 0.9692
sub_16:Test (Best Model) - Loss: 0.2304 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.2292 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.2206 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.2949 - Accuracy: 0.9394 - F1: 0.9380
sub_22:Test (Best Model) - Loss: 0.3128 - Accuracy: 0.9688 - F1: 0.9680
sub_24:Test (Best Model) - Loss: 0.2096 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.2190 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.2497 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.2036 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.2547 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.3770 - Accuracy: 0.9062 - F1: 0.9015
sub_19:Test (Best Model) - Loss: 0.3087 - Accuracy: 0.9375 - F1: 0.9373
sub_9:Test (Best Model) - Loss: 0.2292 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.2163 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.2192 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.2199 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.2320 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 0.2129 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.2455 - Accuracy: 0.9697 - F1: 0.9696
sub_3:Test (Best Model) - Loss: 0.2310 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.2662 - Accuracy: 0.9697 - F1: 0.9692
sub_8:Test (Best Model) - Loss: 0.2078 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.5687 - Accuracy: 0.7500 - F1: 0.7460
sub_16:Test (Best Model) - Loss: 0.2203 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.2822 - Accuracy: 0.9375 - F1: 0.9352
sub_18:Test (Best Model) - Loss: 0.2139 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.2374 - Accuracy: 0.9697 - F1: 0.9692
sub_5:Test (Best Model) - Loss: 0.2262 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.2413 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.3681 - Accuracy: 0.8750 - F1: 0.8750
sub_22:Test (Best Model) - Loss: 0.2705 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.2153 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.4111 - Accuracy: 0.8182 - F1: 0.8180
sub_17:Test (Best Model) - Loss: 0.2046 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.2261 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.1941 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.3972 - Accuracy: 0.8125 - F1: 0.8057
sub_1:Test (Best Model) - Loss: 0.1959 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.3349 - Accuracy: 0.9062 - F1: 0.9015
sub_23:Test (Best Model) - Loss: 0.2172 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.2190 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.2257 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.2118 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.2196 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.2205 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.2093 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.2336 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 0.2534 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.6955 - Accuracy: 0.6250 - F1: 0.6000
sub_25:Test (Best Model) - Loss: 0.2392 - Accuracy: 0.9697 - F1: 0.9692
sub_18:Test (Best Model) - Loss: 0.2037 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.3267 - Accuracy: 0.9062 - F1: 0.9015
sub_20:Test (Best Model) - Loss: 0.3122 - Accuracy: 0.9062 - F1: 0.9062
sub_11:Test (Best Model) - Loss: 0.4093 - Accuracy: 0.8182 - F1: 0.8036
sub_8:Test (Best Model) - Loss: 0.1990 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.2282 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.2042 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.3068 - Accuracy: 0.9688 - F1: 0.9680
sub_5:Test (Best Model) - Loss: 0.2118 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.1938 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.2155 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.3465 - Accuracy: 0.9394 - F1: 0.9389
sub_17:Test (Best Model) - Loss: 0.1978 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.2120 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.2374 - Accuracy: 0.9688 - F1: 0.9680
sub_27:Test (Best Model) - Loss: 0.2046 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.3135 - Accuracy: 0.9062 - F1: 0.9015
sub_23:Test (Best Model) - Loss: 0.2120 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.1892 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.2177 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.2038 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.1937 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.2228 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.2252 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.1120 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.4834 - Accuracy: 0.8438 - F1: 0.8436
sub_25:Test (Best Model) - Loss: 0.2348 - Accuracy: 0.9697 - F1: 0.9692
sub_15:Test (Best Model) - Loss: 0.2977 - Accuracy: 0.9375 - F1: 0.9352
sub_18:Test (Best Model) - Loss: 0.1973 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.2265 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.2107 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.2198 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.2265 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.2390 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.3119 - Accuracy: 0.9394 - F1: 0.9380
sub_4:Test (Best Model) - Loss: 0.2122 - Accuracy: 0.9697 - F1: 0.9692
sub_19:Test (Best Model) - Loss: 0.4898 - Accuracy: 0.7812 - F1: 0.7625
sub_28:Test (Best Model) - Loss: 0.2323 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 0.2572 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.1936 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.2205 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.2402 - Accuracy: 0.9375 - F1: 0.9352
sub_26:Test (Best Model) - Loss: 0.2189 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.2186 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.2132 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.1803 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.1978 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.3428 - Accuracy: 0.9062 - F1: 0.9015
sub_14:Test (Best Model) - Loss: 0.2576 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.2102 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.2214 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.4263 - Accuracy: 0.7879 - F1: 0.7871
sub_6:Test (Best Model) - Loss: 0.3827 - Accuracy: 0.8438 - F1: 0.8436
sub_9:Test (Best Model) - Loss: 0.2684 - Accuracy: 0.9688 - F1: 0.9680
sub_7:Test (Best Model) - Loss: 0.2266 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.3653 - Accuracy: 0.9062 - F1: 0.9015
sub_25:Test (Best Model) - Loss: 0.2478 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.2147 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.1713 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.2170 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.2672 - Accuracy: 0.9375 - F1: 0.9352
sub_3:Test (Best Model) - Loss: 0.2546 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.3146 - Accuracy: 0.9375 - F1: 0.9352
sub_16:Test (Best Model) - Loss: 0.2595 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.2764 - Accuracy: 0.9394 - F1: 0.9393
sub_28:Test (Best Model) - Loss: 0.2770 - Accuracy: 0.9688 - F1: 0.9680
sub_5:Test (Best Model) - Loss: 0.2345 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.3219 - Accuracy: 0.9062 - F1: 0.9039
sub_19:Test (Best Model) - Loss: 0.2109 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.2053 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.2167 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.2371 - Accuracy: 0.9688 - F1: 0.9685
sub_10:Test (Best Model) - Loss: 0.2344 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.2205 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.2387 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.2172 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.2064 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.2033 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.2436 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.1890 - Accuracy: 0.9697 - F1: 0.9692
sub_2:Test (Best Model) - Loss: 0.2920 - Accuracy: 0.9697 - F1: 0.9692
sub_6:Test (Best Model) - Loss: 0.2475 - Accuracy: 0.9697 - F1: 0.9692
sub_21:Test (Best Model) - Loss: 0.3839 - Accuracy: 0.8750 - F1: 0.8667
sub_25:Test (Best Model) - Loss: 0.2357 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.4187 - Accuracy: 0.8485 - F1: 0.8485
sub_7:Test (Best Model) - Loss: 0.2068 - Accuracy: 1.0000 - F1: 1.0000
sub_15:Test (Best Model) - Loss: 0.1975 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.2155 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.2009 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.2043 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.2909 - Accuracy: 0.9375 - F1: 0.9352
sub_3:Test (Best Model) - Loss: 0.2355 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.2972 - Accuracy: 0.9394 - F1: 0.9393
sub_20:Test (Best Model) - Loss: 0.2252 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.2002 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.2024 - Accuracy: 1.0000 - F1: 1.0000
sub_26:Test (Best Model) - Loss: 0.2203 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.2436 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.2776 - Accuracy: 0.9697 - F1: 0.9692
sub_13:Test (Best Model) - Loss: 0.2427 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.2433 - Accuracy: 0.9688 - F1: 0.9685
sub_10:Test (Best Model) - Loss: 0.2463 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.2564 - Accuracy: 0.9697 - F1: 0.9696
sub_23:Test (Best Model) - Loss: 0.4161 - Accuracy: 0.8750 - F1: 0.8750
sub_2:Test (Best Model) - Loss: 0.2439 - Accuracy: 0.9688 - F1: 0.9685
sub_19:Test (Best Model) - Loss: 0.2186 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.2172 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.2265 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.3400 - Accuracy: 0.9091 - F1: 0.9060
sub_15:Test (Best Model) - Loss: 0.2164 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.2548 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.2321 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.2212 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.2268 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.1481 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.4628 - Accuracy: 0.7879 - F1: 0.7871
sub_21:Test (Best Model) - Loss: 0.2140 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.2295 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.2292 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.2315 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.2901 - Accuracy: 0.9375 - F1: 0.9352
sub_28:Test (Best Model) - Loss: 0.2366 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.2571 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.3270 - Accuracy: 0.9091 - F1: 0.9091
sub_6:Test (Best Model) - Loss: 0.2750 - Accuracy: 0.9697 - F1: 0.9692
sub_26:Test (Best Model) - Loss: 0.2299 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.2630 - Accuracy: 0.9688 - F1: 0.9680
sub_5:Test (Best Model) - Loss: 0.2416 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.2590 - Accuracy: 0.9688 - F1: 0.9685
sub_10:Test (Best Model) - Loss: 0.2490 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 0.2476 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.2772 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.3199 - Accuracy: 0.9375 - F1: 0.9373
sub_27:Test (Best Model) - Loss: 0.2564 - Accuracy: 0.9697 - F1: 0.9696
sub_17:Test (Best Model) - Loss: 0.3338 - Accuracy: 0.9091 - F1: 0.9091
sub_19:Test (Best Model) - Loss: 0.2212 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.3652 - Accuracy: 0.8788 - F1: 0.8731
sub_15:Test (Best Model) - Loss: 0.2173 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.2447 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.2256 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.2346 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.5030 - Accuracy: 0.7576 - F1: 0.7519
sub_1:Test (Best Model) - Loss: 0.2287 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.2376 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.2678 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.2303 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.2573 - Accuracy: 0.9688 - F1: 0.9685
sub_20:Test (Best Model) - Loss: 0.2611 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.2415 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.2342 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.3010 - Accuracy: 0.9375 - F1: 0.9352
sub_26:Test (Best Model) - Loss: 0.2213 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.2942 - Accuracy: 0.9394 - F1: 0.9393
sub_3:Test (Best Model) - Loss: 0.3243 - Accuracy: 0.9091 - F1: 0.9091
sub_13:Test (Best Model) - Loss: 0.2428 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.2464 - Accuracy: 0.9688 - F1: 0.9685
sub_8:Test (Best Model) - Loss: 0.2334 - Accuracy: 0.9688 - F1: 0.9680
sub_10:Test (Best Model) - Loss: 0.2541 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.2468 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.2227 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.2744 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.3256 - Accuracy: 0.9091 - F1: 0.9060
sub_23:Test (Best Model) - Loss: 0.6485 - Accuracy: 0.5938 - F1: 0.5589
sub_27:Test (Best Model) - Loss: 0.3338 - Accuracy: 0.9091 - F1: 0.9091
sub_15:Test (Best Model) - Loss: 0.2200 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.2490 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.2067 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.2760 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.2234 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.2264 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.2347 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.5150 - Accuracy: 0.7576 - F1: 0.7519
sub_25:Test (Best Model) - Loss: 0.2334 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.2737 - Accuracy: 0.9697 - F1: 0.9692
sub_1:Test (Best Model) - Loss: 0.2185 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.2928 - Accuracy: 0.9375 - F1: 0.9352
sub_11:Test (Best Model) - Loss: 0.2715 - Accuracy: 0.9091 - F1: 0.9091
sub_18:Test (Best Model) - Loss: 0.2099 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.3077 - Accuracy: 0.9062 - F1: 0.9015
sub_23:Test (Best Model) - Loss: 0.3575 - Accuracy: 0.9375 - F1: 0.9373
sub_21:Test (Best Model) - Loss: 0.2319 - Accuracy: 0.9688 - F1: 0.9685
sub_8:Test (Best Model) - Loss: 0.2866 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 0.2268 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.2337 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.2180 - Accuracy: 0.9688 - F1: 0.9685
sub_28:Test (Best Model) - Loss: 0.1573 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.2780 - Accuracy: 0.9688 - F1: 0.9685
sub_12:Test (Best Model) - Loss: 0.3976 - Accuracy: 0.8788 - F1: 0.8731
sub_26:Test (Best Model) - Loss: 0.1183 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.2300 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.2355 - Accuracy: 0.9688 - F1: 0.9680
sub_7:Test (Best Model) - Loss: 0.2146 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.1825 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.2067 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.3604 - Accuracy: 0.8788 - F1: 0.8731
sub_17:Test (Best Model) - Loss: 0.2782 - Accuracy: 0.9394 - F1: 0.9393
sub_15:Test (Best Model) - Loss: 0.1905 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.1914 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.1935 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.1934 - Accuracy: 1.0000 - F1: 1.0000
sub_1:Test (Best Model) - Loss: 0.1879 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.1986 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.2687 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.3232 - Accuracy: 0.9091 - F1: 0.9060
sub_18:Test (Best Model) - Loss: 0.1877 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.2256 - Accuracy: 1.0000 - F1: 1.0000
sub_24:Test (Best Model) - Loss: 0.2570 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.3307 - Accuracy: 0.9062 - F1: 0.9015
sub_16:Test (Best Model) - Loss: 0.1280 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.2554 - Accuracy: 0.9688 - F1: 0.9680
sub_13:Test (Best Model) - Loss: 0.3406 - Accuracy: 0.9062 - F1: 0.9015
sub_3:Test (Best Model) - Loss: 0.1932 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.4290 - Accuracy: 0.8182 - F1: 0.8036
sub_26:Test (Best Model) - Loss: 0.3441 - Accuracy: 0.9375 - F1: 0.9352
sub_5:Test (Best Model) - Loss: 0.1933 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.3108 - Accuracy: 0.9394 - F1: 0.9380
sub_15:Test (Best Model) - Loss: 0.2436 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.2445 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.2794 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.1249 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.2782 - Accuracy: 0.9394 - F1: 0.9393
sub_17:Test (Best Model) - Loss: 0.2916 - Accuracy: 0.9688 - F1: 0.9680
sub_28:Test (Best Model) - Loss: 0.1360 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.2903 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.1090 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.2868 - Accuracy: 0.9062 - F1: 0.9062
sub_1:Test (Best Model) - Loss: 0.2816 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.2867 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 0.3226 - Accuracy: 0.9375 - F1: 0.9352
sub_20:Test (Best Model) - Loss: 0.3302 - Accuracy: 0.9394 - F1: 0.9380
sub_19:Test (Best Model) - Loss: 0.3635 - Accuracy: 0.9062 - F1: 0.9015
sub_29:Test (Best Model) - Loss: 0.2553 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.4630 - Accuracy: 0.7812 - F1: 0.7519
sub_6:Test (Best Model) - Loss: 0.2568 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.2608 - Accuracy: 0.9394 - F1: 0.9380
sub_24:Test (Best Model) - Loss: 0.2268 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.2524 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.2823 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.2979 - Accuracy: 0.9375 - F1: 0.9352
sub_4:Test (Best Model) - Loss: 0.2200 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.3790 - Accuracy: 0.8750 - F1: 0.8750
sub_15:Test (Best Model) - Loss: 0.2087 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.2582 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.2618 - Accuracy: 0.9688 - F1: 0.9680
sub_26:Test (Best Model) - Loss: 0.2849 - Accuracy: 0.9688 - F1: 0.9680
sub_3:Test (Best Model) - Loss: 0.2552 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.2508 - Accuracy: 0.9697 - F1: 0.9692
sub_22:Test (Best Model) - Loss: 0.2275 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.2916 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 0.3473 - Accuracy: 0.9394 - F1: 0.9380
sub_7:Test (Best Model) - Loss: 0.2839 - Accuracy: 0.9375 - F1: 0.9373
sub_28:Test (Best Model) - Loss: 0.5188 - Accuracy: 0.7500 - F1: 0.7460
sub_1:Test (Best Model) - Loss: 0.2273 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.2815 - Accuracy: 0.9375 - F1: 0.9352
sub_24:Test (Best Model) - Loss: 0.2168 - Accuracy: 1.0000 - F1: 1.0000
sub_20:Test (Best Model) - Loss: 0.3124 - Accuracy: 0.9394 - F1: 0.9380
sub_25:Test (Best Model) - Loss: 0.2464 - Accuracy: 0.9688 - F1: 0.9680
sub_14:Test (Best Model) - Loss: 0.2595 - Accuracy: 0.9375 - F1: 0.9352
sub_19:Test (Best Model) - Loss: 0.3613 - Accuracy: 0.8750 - F1: 0.8667
sub_16:Test (Best Model) - Loss: 0.4139 - Accuracy: 0.8438 - F1: 0.8303
sub_9:Test (Best Model) - Loss: 0.2446 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.2166 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.2344 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.2163 - Accuracy: 1.0000 - F1: 1.0000
sub_6:Test (Best Model) - Loss: 0.2217 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.2085 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.3329 - Accuracy: 0.9062 - F1: 0.9015
sub_3:Test (Best Model) - Loss: 0.2287 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.2275 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.2515 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.2400 - Accuracy: 0.9697 - F1: 0.9692
sub_15:Test (Best Model) - Loss: 0.1979 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.2788 - Accuracy: 0.9091 - F1: 0.9060
sub_21:Test (Best Model) - Loss: 0.0592 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.2815 - Accuracy: 0.9375 - F1: 0.9352
sub_26:Test (Best Model) - Loss: 0.2849 - Accuracy: 0.9375 - F1: 0.9352
sub_24:Test (Best Model) - Loss: 0.2397 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.2560 - Accuracy: 0.9688 - F1: 0.9685
sub_28:Test (Best Model) - Loss: 0.4634 - Accuracy: 0.9062 - F1: 0.9062
sub_23:Test (Best Model) - Loss: 0.3499 - Accuracy: 0.9091 - F1: 0.9060
sub_8:Test (Best Model) - Loss: 0.1764 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.3684 - Accuracy: 0.8750 - F1: 0.8667
sub_22:Test (Best Model) - Loss: 0.1806 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.2780 - Accuracy: 0.9375 - F1: 0.9352
sub_20:Test (Best Model) - Loss: 0.3017 - Accuracy: 0.9394 - F1: 0.9380
sub_17:Test (Best Model) - Loss: 0.2669 - Accuracy: 0.9688 - F1: 0.9680
sub_25:Test (Best Model) - Loss: 0.2494 - Accuracy: 0.9688 - F1: 0.9680
sub_1:Test (Best Model) - Loss: 0.2073 - Accuracy: 1.0000 - F1: 1.0000
sub_16:Test (Best Model) - Loss: 0.4027 - Accuracy: 0.8438 - F1: 0.8303
sub_3:Test (Best Model) - Loss: 0.2150 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.2289 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.2384 - Accuracy: 1.0000 - F1: 1.0000
sub_5:Test (Best Model) - Loss: 0.2099 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.2079 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.3620 - Accuracy: 0.9091 - F1: 0.9060
sub_11:Test (Best Model) - Loss: 0.3256 - Accuracy: 0.9091 - F1: 0.9060
sub_18:Test (Best Model) - Loss: 0.2097 - Accuracy: 1.0000 - F1: 1.0000
sub_13:Test (Best Model) - Loss: 0.3365 - Accuracy: 0.9062 - F1: 0.9015
sub_12:Test (Best Model) - Loss: 0.3241 - Accuracy: 0.9375 - F1: 0.9373
sub_10:Test (Best Model) - Loss: 0.2587 - Accuracy: 0.9697 - F1: 0.9692
sub_6:Test (Best Model) - Loss: 0.1636 - Accuracy: 1.0000 - F1: 1.0000
sub_7:Test (Best Model) - Loss: 0.2992 - Accuracy: 0.9375 - F1: 0.9373
sub_26:Test (Best Model) - Loss: 0.3026 - Accuracy: 0.9375 - F1: 0.9352
sub_21:Test (Best Model) - Loss: 0.5322 - Accuracy: 0.7500 - F1: 0.7460
sub_27:Test (Best Model) - Loss: 0.2669 - Accuracy: 0.9688 - F1: 0.9680
sub_15:Test (Best Model) - Loss: 0.2305 - Accuracy: 1.0000 - F1: 1.0000
sub_8:Test (Best Model) - Loss: 0.2734 - Accuracy: 0.9688 - F1: 0.9680
sub_28:Test (Best Model) - Loss: 0.4769 - Accuracy: 0.8438 - F1: 0.8436
sub_19:Test (Best Model) - Loss: 0.3759 - Accuracy: 0.8750 - F1: 0.8667
sub_22:Test (Best Model) - Loss: 0.2545 - Accuracy: 1.0000 - F1: 1.0000
sub_14:Test (Best Model) - Loss: 0.2704 - Accuracy: 0.9688 - F1: 0.9680
sub_23:Test (Best Model) - Loss: 0.3056 - Accuracy: 0.9394 - F1: 0.9380
sub_5:Test (Best Model) - Loss: 0.2414 - Accuracy: 1.0000 - F1: 1.0000
sub_3:Test (Best Model) - Loss: 0.2419 - Accuracy: 1.0000 - F1: 1.0000
sub_4:Test (Best Model) - Loss: 0.2125 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.2706 - Accuracy: 0.9688 - F1: 0.9680
sub_1:Test (Best Model) - Loss: 0.2389 - Accuracy: 1.0000 - F1: 1.0000
sub_10:Test (Best Model) - Loss: 0.2723 - Accuracy: 0.9697 - F1: 0.9692
sub_16:Test (Best Model) - Loss: 0.4337 - Accuracy: 0.8438 - F1: 0.8303
sub_17:Test (Best Model) - Loss: 0.3183 - Accuracy: 0.9375 - F1: 0.9352
sub_24:Test (Best Model) - Loss: 0.2221 - Accuracy: 1.0000 - F1: 1.0000
sub_18:Test (Best Model) - Loss: 0.2349 - Accuracy: 1.0000 - F1: 1.0000
sub_9:Test (Best Model) - Loss: 0.2650 - Accuracy: 0.9688 - F1: 0.9685
sub_12:Test (Best Model) - Loss: 0.2511 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.2356 - Accuracy: 1.0000 - F1: 1.0000
sub_11:Test (Best Model) - Loss: 0.2341 - Accuracy: 0.9697 - F1: 0.9692
sub_20:Test (Best Model) - Loss: 0.2767 - Accuracy: 0.9091 - F1: 0.9060
sub_13:Test (Best Model) - Loss: 0.3170 - Accuracy: 0.9375 - F1: 0.9352
sub_2:Test (Best Model) - Loss: 0.3079 - Accuracy: 0.9091 - F1: 0.9060
sub_7:Test (Best Model) - Loss: 0.2625 - Accuracy: 1.0000 - F1: 1.0000
sub_21:Test (Best Model) - Loss: 0.5503 - Accuracy: 0.7188 - F1: 0.7117
sub_26:Test (Best Model) - Loss: 0.3549 - Accuracy: 0.9062 - F1: 0.9015
sub_6:Test (Best Model) - Loss: 0.2443 - Accuracy: 1.0000 - F1: 1.0000
sub_22:Test (Best Model) - Loss: 0.2086 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.3183 - Accuracy: 0.9375 - F1: 0.9352
sub_15:Test (Best Model) - Loss: 0.2069 - Accuracy: 1.0000 - F1: 1.0000
sub_28:Test (Best Model) - Loss: 0.4288 - Accuracy: 0.8438 - F1: 0.8436
sub_3:Test (Best Model) - Loss: 0.2308 - Accuracy: 1.0000 - F1: 1.0000
sub_19:Test (Best Model) - Loss: 0.3738 - Accuracy: 0.8750 - F1: 0.8667
sub_16:Test (Best Model) - Loss: 0.4354 - Accuracy: 0.8125 - F1: 0.7922
sub_14:Test (Best Model) - Loss: 0.3109 - Accuracy: 0.9062 - F1: 0.9015
sub_5:Test (Best Model) - Loss: 0.2284 - Accuracy: 1.0000 - F1: 1.0000
sub_17:Test (Best Model) - Loss: 0.2755 - Accuracy: 0.9375 - F1: 0.9352
sub_1:Test (Best Model) - Loss: 0.2367 - Accuracy: 1.0000 - F1: 1.0000
sub_12:Test (Best Model) - Loss: 0.2687 - Accuracy: 1.0000 - F1: 1.0000
sub_25:Test (Best Model) - Loss: 0.2856 - Accuracy: 0.9375 - F1: 0.9352
sub_18:Test (Best Model) - Loss: 0.2319 - Accuracy: 1.0000 - F1: 1.0000
sub_23:Test (Best Model) - Loss: 0.3331 - Accuracy: 0.9394 - F1: 0.9380
sub_9:Test (Best Model) - Loss: 0.2110 - Accuracy: 1.0000 - F1: 1.0000
sub_29:Test (Best Model) - Loss: 0.2413 - Accuracy: 1.0000 - F1: 1.0000
sub_2:Test (Best Model) - Loss: 0.3611 - Accuracy: 0.9091 - F1: 0.9060
sub_20:Test (Best Model) - Loss: 0.3346 - Accuracy: 0.9091 - F1: 0.9060
sub_6:Test (Best Model) - Loss: 0.2264 - Accuracy: 1.0000 - F1: 1.0000
sub_27:Test (Best Model) - Loss: 0.2755 - Accuracy: 0.9375 - F1: 0.9352
sub_28:Test (Best Model) - Loss: 0.4460 - Accuracy: 0.8750 - F1: 0.8745
sub_21:Test (Best Model) - Loss: 0.7415 - Accuracy: 0.6562 - F1: 0.6390
sub_23:Test (Best Model) - Loss: 0.3995 - Accuracy: 0.8788 - F1: 0.8731
sub_2:Test (Best Model) - Loss: 0.3989 - Accuracy: 0.9091 - F1: 0.9060
sub_21:Test (Best Model) - Loss: 0.2760 - Accuracy: 0.9688 - F1: 0.9680
sub_21:Test (Best Model) - Loss: 0.6702 - Accuracy: 0.7188 - F1: 0.7117

=== Summary Results ===

acc: 96.27 ± 3.17
F1: 96.15 ± 3.29
acc-in: 98.31 ± 2.16
F1-in: 98.21 ± 2.33
