[INFO|finetune.py:299] 2024-06-17T15:33:16+0900 > train: 0.000000 val: 0.703304 test: 0.687330
[INFO|finetune.py:299] 2024-06-17T15:33:24+0900 > train: 0.000000 val: 0.718152 test: 0.690660
[INFO|finetune.py:299] 2024-06-17T15:33:32+0900 > train: 0.000000 val: 0.694215 test: 0.686980
[INFO|finetune.py:299] 2024-06-17T15:33:39+0900 > train: 0.000000 val: 0.703514 test: 0.699417
[INFO|finetune.py:299] 2024-06-17T15:33:47+0900 > train: 0.000000 val: 0.734946 test: 0.724709
[INFO|finetune.py:299] 2024-06-17T15:34:19+0900 > train: 0.000000 val: 0.707966 test: 0.689372
[INFO|finetune.py:299] 2024-06-17T15:34:29+0900 > train: 0.000000 val: 0.718456 test: 0.692536
[INFO|finetune.py:299] 2024-06-17T15:34:38+0900 > train: 0.000000 val: 0.705748 test: 0.694885
[INFO|finetune.py:299] 2024-06-17T15:34:48+0900 > train: 0.000000 val: 0.698204 test: 0.693537
[INFO|finetune.py:299] 2024-06-17T15:35:00+0900 > train: 0.000000 val: 0.736760 test: 0.724740
[INFO|finetune.py:299] 2024-06-17T15:35:09+0900 > train: 0.000000 val: 0.747833 test: 0.728139
[INFO|finetune.py:299] 2024-06-17T15:35:19+0900 > train: 0.000000 val: 0.755629 test: 0.733715
[INFO|finetune.py:299] 2024-06-17T15:35:29+0900 > train: 0.000000 val: 0.755091 test: 0.726807
[INFO|finetune.py:299] 2024-06-17T15:35:39+0900 > train: 0.000000 val: 0.762678 test: 0.745634
[INFO|finetune.py:299] 2024-06-17T15:35:48+0900 > train: 0.000000 val: 0.757314 test: 0.731940
[INFO|finetune.py:299] 2024-06-17T15:35:58+0900 > train: 0.000000 val: 0.765807 test: 0.741121
[INFO|finetune.py:299] 2024-06-17T15:36:09+0900 > train: 0.000000 val: 0.743649 test: 0.717169
[INFO|finetune.py:299] 2024-06-17T15:36:18+0900 > train: 0.000000 val: 0.761569 test: 0.744099
[INFO|finetune.py:299] 2024-06-17T15:36:29+0900 > train: 0.000000 val: 0.757190 test: 0.740560
[INFO|finetune.py:299] 2024-06-17T15:36:39+0900 > train: 0.000000 val: 0.753100 test: 0.742813
[INFO|finetune.py:299] 2024-06-17T15:36:49+0900 > train: 0.000000 val: 0.755242 test: 0.738400
[INFO|finetune.py:299] 2024-06-17T15:36:58+0900 > train: 0.000000 val: 0.751415 test: 0.738444
[INFO|finetune.py:299] 2024-06-17T15:37:08+0900 > train: 0.000000 val: 0.754501 test: 0.738892
[INFO|finetune.py:299] 2024-06-17T15:37:19+0900 > train: 0.000000 val: 0.763024 test: 0.744522
[INFO|finetune.py:299] 2024-06-17T15:37:27+0900 > train: 0.000000 val: 0.771337 test: 0.751657
[INFO|finetune.py:299] 2024-06-17T15:37:37+0900 > train: 0.000000 val: 0.764586 test: 0.748744
[INFO|finetune.py:299] 2024-06-17T15:37:46+0900 > train: 0.000000 val: 0.761377 test: 0.747418
[INFO|finetune.py:299] 2024-06-17T15:37:55+0900 > train: 0.000000 val: 0.759382 test: 0.741222
[INFO|finetune.py:299] 2024-06-17T15:38:04+0900 > train: 0.000000 val: 0.768401 test: 0.749626
[INFO|finetune.py:299] 2024-06-17T15:38:13+0900 > train: 0.000000 val: 0.763946 test: 0.750503
[INFO|finetune.py:299] 2024-06-17T15:38:23+0900 > train: 0.000000 val: 0.767653 test: 0.760224
[INFO|finetune.py:299] 2024-06-17T15:38:31+0900 > train: 0.000000 val: 0.762813 test: 0.741772
[INFO|finetune.py:299] 2024-06-17T15:38:41+0900 > train: 0.000000 val: 0.774262 test: 0.750051
[INFO|finetune.py:299] 2024-06-17T15:38:50+0900 > train: 0.000000 val: 0.770125 test: 0.750885
[INFO|finetune.py:299] 2024-06-17T15:39:01+0900 > train: 0.000000 val: 0.765863 test: 0.749005
[INFO|finetune.py:299] 2024-06-17T15:39:11+0900 > train: 0.000000 val: 0.770067 test: 0.744930
[INFO|finetune.py:299] 2024-06-17T15:39:21+0900 > train: 0.000000 val: 0.775999 test: 0.749081
[INFO|finetune.py:299] 2024-06-17T15:39:32+0900 > train: 0.000000 val: 0.771989 test: 0.748953
[INFO|finetune.py:299] 2024-06-17T15:39:40+0900 > train: 0.000000 val: 0.770255 test: 0.739273
[INFO|finetune.py:299] 2024-06-17T15:39:51+0900 > train: 0.000000 val: 0.770554 test: 0.750686
[INFO|finetune.py:299] 2024-06-17T15:40:02+0900 > train: 0.000000 val: 0.774844 test: 0.756657
[INFO|finetune.py:299] 2024-06-17T15:40:11+0900 > train: 0.000000 val: 0.760394 test: 0.738702
[INFO|finetune.py:299] 2024-06-17T15:40:22+0900 > train: 0.000000 val: 0.776909 test: 0.752552
[INFO|finetune.py:299] 2024-06-17T15:40:32+0900 > train: 0.000000 val: 0.767385 test: 0.754649
[INFO|finetune.py:299] 2024-06-17T15:40:43+0900 > train: 0.000000 val: 0.772146 test: 0.745992
[INFO|finetune.py:299] 2024-06-17T15:40:54+0900 > train: 0.000000 val: 0.776714 test: 0.747077
[INFO|finetune.py:299] 2024-06-17T15:41:02+0900 > train: 0.000000 val: 0.764188 test: 0.742678
[INFO|finetune.py:299] 2024-06-17T15:41:13+0900 > train: 0.000000 val: 0.768057 test: 0.747650
[INFO|finetune.py:299] 2024-06-17T15:41:22+0900 > train: 0.000000 val: 0.757719 test: 0.756208
[INFO|finetune.py:299] 2024-06-17T15:41:33+0900 > train: 0.000000 val: 0.772220 test: 0.750643
[INFO|finetune.py:299] 2024-06-17T15:41:42+0900 > train: 0.000000 val: 0.753906 test: 0.743766
[INFO|finetune.py:299] 2024-06-17T15:41:52+0900 > train: 0.000000 val: 0.765851 test: 0.745303
[INFO|finetune.py:299] 2024-06-17T15:42:03+0900 > train: 0.000000 val: 0.768963 test: 0.750964
[INFO|finetune.py:299] 2024-06-17T15:42:12+0900 > train: 0.000000 val: 0.774803 test: 0.751384
[INFO|finetune.py:299] 2024-06-17T15:42:23+0900 > train: 0.000000 val: 0.773284 test: 0.763510
[INFO|finetune.py:299] 2024-06-17T15:42:32+0900 > train: 0.000000 val: 0.770376 test: 0.751491
[INFO|finetune.py:299] 2024-06-17T15:42:41+0900 > train: 0.000000 val: 0.760449 test: 0.743481
[INFO|finetune.py:299] 2024-06-17T15:42:53+0900 > train: 0.000000 val: 0.769841 test: 0.753178
[INFO|finetune.py:299] 2024-06-17T15:43:02+0900 > train: 0.000000 val: 0.763712 test: 0.744376
[INFO|finetune.py:299] 2024-06-17T15:43:13+0900 > train: 0.000000 val: 0.763327 test: 0.748390
[INFO|finetune.py:299] 2024-06-17T15:43:23+0900 > train: 0.000000 val: 0.774602 test: 0.757537
[INFO|finetune.py:299] 2024-06-17T15:43:33+0900 > train: 0.000000 val: 0.769792 test: 0.748099
[INFO|finetune.py:299] 2024-06-17T15:43:44+0900 > train: 0.000000 val: 0.779502 test: 0.748023
[INFO|finetune.py:299] 2024-06-17T15:43:53+0900 > train: 0.000000 val: 0.765556 test: 0.741588
[INFO|finetune.py:299] 2024-06-17T15:44:04+0900 > train: 0.000000 val: 0.776842 test: 0.742225
[INFO|finetune.py:299] 2024-06-17T15:44:14+0900 > train: 0.000000 val: 0.778744 test: 0.753680
[INFO|finetune.py:299] 2024-06-17T15:44:24+0900 > train: 0.000000 val: 0.780706 test: 0.743682
[INFO|finetune.py:299] 2024-06-17T15:44:34+0900 > train: 0.000000 val: 0.794533 test: 0.757001
[INFO|finetune.py:299] 2024-06-17T15:44:43+0900 > train: 0.000000 val: 0.774989 test: 0.749486
[INFO|finetune.py:299] 2024-06-17T15:44:53+0900 > train: 0.000000 val: 0.776918 test: 0.759000
[INFO|finetune.py:299] 2024-06-17T15:45:03+0900 > train: 0.000000 val: 0.774016 test: 0.742546
[INFO|finetune.py:299] 2024-06-17T15:45:13+0900 > train: 0.000000 val: 0.776762 test: 0.754349
[INFO|finetune.py:299] 2024-06-17T15:45:24+0900 > train: 0.000000 val: 0.769018 test: 0.745460
[INFO|finetune.py:299] 2024-06-17T15:45:32+0900 > train: 0.000000 val: 0.775415 test: 0.750518
[INFO|finetune.py:299] 2024-06-17T15:45:44+0900 > train: 0.000000 val: 0.777799 test: 0.757294
[INFO|finetune.py:299] 2024-06-17T15:45:52+0900 > train: 0.000000 val: 0.764769 test: 0.742189
[INFO|finetune.py:299] 2024-06-17T15:46:03+0900 > train: 0.000000 val: 0.781195 test: 0.753870
[INFO|finetune.py:299] 2024-06-17T15:46:14+0900 > train: 0.000000 val: 0.785926 test: 0.753585
[INFO|finetune.py:299] 2024-06-17T15:46:24+0900 > train: 0.000000 val: 0.766569 test: 0.745867
[INFO|finetune.py:299] 2024-06-17T15:46:35+0900 > train: 0.000000 val: 0.777618 test: 0.740974
[INFO|finetune.py:299] 2024-06-17T15:46:43+0900 > train: 0.000000 val: 0.783113 test: 0.741451
[INFO|finetune.py:299] 2024-06-17T15:46:54+0900 > train: 0.000000 val: 0.783344 test: 0.754864
[INFO|finetune.py:299] 2024-06-17T15:47:02+0900 > train: 0.000000 val: 0.783416 test: 0.747792
[INFO|finetune.py:299] 2024-06-17T15:47:15+0900 > train: 0.000000 val: 0.776496 test: 0.747138
[INFO|finetune.py:299] 2024-06-17T15:47:26+0900 > train: 0.000000 val: 0.773957 test: 0.751874
[INFO|finetune.py:299] 2024-06-17T15:47:35+0900 > train: 0.000000 val: 0.783454 test: 0.745164
[INFO|finetune.py:299] 2024-06-17T15:47:45+0900 > train: 0.000000 val: 0.781109 test: 0.746044
[INFO|finetune.py:299] 2024-06-17T15:47:55+0900 > train: 0.000000 val: 0.786658 test: 0.757151
[INFO|finetune.py:299] 2024-06-17T15:48:05+0900 > train: 0.000000 val: 0.783183 test: 0.757111
[INFO|finetune.py:299] 2024-06-17T15:48:17+0900 > train: 0.000000 val: 0.784608 test: 0.755922
[INFO|finetune.py:299] 2024-06-17T15:48:25+0900 > train: 0.000000 val: 0.784425 test: 0.751992
[INFO|finetune.py:299] 2024-06-17T15:48:36+0900 > train: 0.000000 val: 0.766931 test: 0.747248
[INFO|finetune.py:299] 2024-06-17T15:48:45+0900 > train: 0.000000 val: 0.783256 test: 0.759356
[INFO|finetune.py:299] 2024-06-17T15:48:55+0900 > train: 0.000000 val: 0.781416 test: 0.749888
[INFO|finetune.py:299] 2024-06-17T15:49:06+0900 > train: 0.000000 val: 0.784735 test: 0.752287
[INFO|finetune.py:299] 2024-06-17T15:49:15+0900 > train: 0.000000 val: 0.774265 test: 0.748645
[INFO|finetune.py:299] 2024-06-17T15:49:26+0900 > train: 0.000000 val: 0.778870 test: 0.747037
[INFO|finetune.py:299] 2024-06-17T15:49:36+0900 > train: 0.000000 val: 0.772680 test: 0.746466
[INFO|finetune.py:299] 2024-06-17T15:49:46+0900 > train: 0.000000 val: 0.776490 test: 0.756892
[INFO|finetune.py:299] 2024-06-17T15:49:57+0900 > train: 0.000000 val: 0.781927 test: 0.756716
[INFO|finetune.py:299] 2024-06-17T15:50:06+0900 > train: 0.000000 val: 0.771093 test: 0.742438
[INFO|finetune.py:299] 2024-06-17T15:50:17+0900 > train: 0.000000 val: 0.774522 test: 0.754494
[INFO|finetune.py:299] 2024-06-17T15:50:27+0900 > train: 0.000000 val: 0.774701 test: 0.748279
[INFO|finetune.py:299] 2024-06-17T15:50:36+0900 > train: 0.000000 val: 0.780903 test: 0.758428
[INFO|finetune.py:299] 2024-06-17T15:50:47+0900 > train: 0.000000 val: 0.777500 test: 0.742909