[1/24] [Train Loss:0.3982 Acc:0.8337] [Val Loss:0.2098 Acc:0.9050] [Best Epoch:1 Acc:0.9050] [41.1330s 41.1330s]
[2/24] [Train Loss:0.3327 Acc:0.8638] [Val Loss:0.2418 Acc:0.8900] [Best Epoch:1 Acc:0.9050] [41.2233s 82.3564s]
[3/24] [Train Loss:0.2828 Acc:0.8862] [Val Loss:0.1945 Acc:0.9300] [Best Epoch:3 Acc:0.9300] [41.3179s 123.6742s]
[4/24] [Train Loss:0.2659 Acc:0.8862] [Val Loss:0.2550 Acc:0.9050] [Best Epoch:3 Acc:0.9300] [40.7447s 164.4189s]
[5/24] [Train Loss:0.2210 Acc:0.9062] [Val Loss:0.4244 Acc:0.8700] [Best Epoch:3 Acc:0.9300] [40.9999s 205.4188s]
[6/24] [Train Loss:0.2235 Acc:0.9200] [Val Loss:0.4155 Acc:0.8850] [Best Epoch:3 Acc:0.9300] [40.8933s 246.3120s]
[7/24] [Train Loss:0.2106 Acc:0.9250] [Val Loss:0.2939 Acc:0.9000] [Best Epoch:3 Acc:0.9300] [40.9381s 287.2501s]
[8/24] [Train Loss:0.1645 Acc:0.9375] [Val Loss:0.2676 Acc:0.9000] [Best Epoch:3 Acc:0.9300] [40.9341s 328.1843s]
[9/24] [Train Loss:0.1554 Acc:0.9425] [Val Loss:0.2794 Acc:0.9000] [Best Epoch:3 Acc:0.9300] [40.9232s 369.1075s]
[10/24] [Train Loss:0.1541 Acc:0.9375] [Val Loss:0.2602 Acc:0.9000] [Best Epoch:3 Acc:0.9300] [40.9147s 410.0222s]
[11/24] [Train Loss:0.1531 Acc:0.9463] [Val Loss:0.2505 Acc:0.9150] [Best Epoch:3 Acc:0.9300] [41.0075s 451.0297s]
[12/24] [Train Loss:0.1713 Acc:0.9313] [Val Loss:0.2628 Acc:0.9000] [Best Epoch:3 Acc:0.9300] [40.9256s 491.9554s]
[13/24] [Train Loss:0.1377 Acc:0.9513] [Val Loss:0.2483 Acc:0.9150] [Best Epoch:3 Acc:0.9300] [41.1491s 533.1045s]
[14/24] [Train Loss:0.1637 Acc:0.9375] [Val Loss:0.2470 Acc:0.9150] [Best Epoch:3 Acc:0.9300] [41.0140s 574.1184s]
[15/24] [Train Loss:0.1410 Acc:0.9413] [Val Loss:0.2549 Acc:0.9150] [Best Epoch:3 Acc:0.9300] [41.2309s 615.3494s]
[16/24] [Train Loss:0.1485 Acc:0.9413] [Val Loss:0.2617 Acc:0.9200] [Best Epoch:3 Acc:0.9300] [40.8536s 656.2029s]
[17/24] [Train Loss:0.1560 Acc:0.9400] [Val Loss:0.2409 Acc:0.9200] [Best Epoch:3 Acc:0.9300] [40.9893s 697.1923s]
[18/24] [Train Loss:0.1269 Acc:0.9513] [Val Loss:0.2503 Acc:0.9200] [Best Epoch:3 Acc:0.9300] [41.3273s 738.5196s]
[19/24] [Train Loss:0.1473 Acc:0.9475] [Val Loss:0.2409 Acc:0.9050] [Best Epoch:3 Acc:0.9300] [41.2200s 779.7396s]
[20/24] [Train Loss:0.1402 Acc:0.9463] [Val Loss:0.2318 Acc:0.9150] [Best Epoch:3 Acc:0.9300] [41.1861s 820.9258s]
[21/24] [Train Loss:0.1386 Acc:0.9500] [Val Loss:0.2339 Acc:0.9200] [Best Epoch:3 Acc:0.9300] [40.9337s 861.8594s]
[22/24] [Train Loss:0.1516 Acc:0.9513] [Val Loss:0.2527 Acc:0.9250] [Best Epoch:3 Acc:0.9300] [41.0232s 902.8826s]
[23/24] [Train Loss:0.1488 Acc:0.9537] [Val Loss:0.2436 Acc:0.9100] [Best Epoch:3 Acc:0.9300] [41.0435s 943.9261s]
[24/24] [Train Loss:0.1544 Acc:0.9450] [Val Loss:0.2348 Acc:0.9200] [Best Epoch:3 Acc:0.9300] [40.9338s 984.8599s]
