INFO __main__ Tue, 28 Oct 2025 17:17:14 Writing config to /rep/nhamad/ArabicNER/newTraining/Wojoodoutput/args.json INFO arabiner.utils.data Tue, 28 Oct 2025 17:17:35 2891 batches found INFO arabiner.utils.data Tue, 28 Oct 2025 17:17:36 413 batches found INFO arabiner.utils.data Tue, 28 Oct 2025 17:17:36 826 batches found INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:17:51 Epoch 0 | Batch 10/2891 | Timestep 10 | LR 0.0000100000 | Loss 1.594067 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:17:53 Epoch 0 | Batch 20/2891 | Timestep 20 | LR 0.0000100000 | Loss 1.391043 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:17:55 Epoch 0 | Batch 30/2891 | Timestep 30 | LR 0.0000100000 | Loss 0.392363 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:17:56 Epoch 0 | Batch 40/2891 | Timestep 40 | LR 0.0000100000 | Loss 0.942445 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:17:58 Epoch 0 | Batch 50/2891 | Timestep 50 | LR 0.0000100000 | Loss 0.370076 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:00 Epoch 0 | Batch 60/2891 | Timestep 60 | LR 0.0000100000 | Loss 0.456142 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:01 Epoch 0 | Batch 70/2891 | Timestep 70 | LR 0.0000100000 | Loss 0.851324 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:03 Epoch 0 | Batch 80/2891 | Timestep 80 | LR 0.0000100000 | Loss 0.600544 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:04 Epoch 0 | Batch 90/2891 | Timestep 90 | LR 0.0000100000 | Loss 0.474384 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:06 Epoch 0 | Batch 100/2891 | Timestep 100 | LR 0.0000100000 | Loss 0.679364 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:08 Epoch 0 | Batch 110/2891 | Timestep 110 | LR 0.0000100000 | Loss 0.358479 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:09 Epoch 0 | Batch 120/2891 | Timestep 120 | LR 0.0000100000 | Loss 0.440500 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:10 Epoch 0 | Batch 130/2891 | Timestep 130 | LR 0.0000100000 | Loss 1.035212 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:12 Epoch 0 | Batch 140/2891 | Timestep 140 | LR 0.0000100000 | Loss 0.430396 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:13 Epoch 0 | Batch 150/2891 | Timestep 150 | LR 0.0000100000 | Loss 0.413920 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:15 Epoch 0 | Batch 160/2891 | Timestep 160 | LR 0.0000100000 | Loss 0.266901 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:16 Epoch 0 | Batch 170/2891 | Timestep 170 | LR 0.0000100000 | Loss 0.460240 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:18 Epoch 0 | Batch 180/2891 | Timestep 180 | LR 0.0000100000 | Loss 0.500920 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:19 Epoch 0 | Batch 190/2891 | Timestep 190 | LR 0.0000100000 | Loss 0.563137 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:21 Epoch 0 | Batch 200/2891 | Timestep 200 | LR 0.0000100000 | 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28 Oct 2025 17:18:33 Epoch 0 | Batch 280/2891 | Timestep 280 | LR 0.0000100000 | Loss 0.219531 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:36 Epoch 0 | Batch 290/2891 | Timestep 290 | LR 0.0000100000 | Loss 0.136560 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:37 Epoch 0 | Batch 300/2891 | Timestep 300 | LR 0.0000100000 | Loss 0.314307 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:39 Epoch 0 | Batch 310/2891 | Timestep 310 | LR 0.0000100000 | Loss 0.148270 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:40 Epoch 0 | Batch 320/2891 | Timestep 320 | LR 0.0000100000 | Loss 0.282286 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:42 Epoch 0 | Batch 330/2891 | Timestep 330 | LR 0.0000100000 | Loss 0.236159 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:43 Epoch 0 | Batch 340/2891 | Timestep 340 | LR 0.0000100000 | Loss 0.231850 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:45 Epoch 0 | Batch 350/2891 | 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arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:59 Epoch 0 | Batch 430/2891 | Timestep 430 | LR 0.0000100000 | Loss 0.345049 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:00 Epoch 0 | Batch 440/2891 | Timestep 440 | LR 0.0000100000 | Loss 0.181865 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:02 Epoch 0 | Batch 450/2891 | Timestep 450 | LR 0.0000100000 | Loss 0.191482 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:03 Epoch 0 | Batch 460/2891 | Timestep 460 | LR 0.0000100000 | Loss 0.138705 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:05 Epoch 0 | Batch 470/2891 | Timestep 470 | LR 0.0000100000 | Loss 0.115970 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:07 Epoch 0 | Batch 480/2891 | Timestep 480 | LR 0.0000100000 | Loss 0.153547 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:09 Epoch 0 | Batch 490/2891 | Timestep 490 | LR 0.0000100000 | Loss 0.113760 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:10 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Epoch 0 | Batch 940/2891 | Timestep 940 | LR 0.0000100000 | Loss 0.083350 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:22 Epoch 0 | Batch 950/2891 | Timestep 950 | LR 0.0000100000 | Loss 0.320238 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:23 Epoch 0 | Batch 960/2891 | Timestep 960 | LR 0.0000100000 | Loss 0.093393 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:25 Epoch 0 | Batch 970/2891 | Timestep 970 | LR 0.0000100000 | Loss 0.135574 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:27 Epoch 0 | Batch 980/2891 | Timestep 980 | LR 0.0000100000 | Loss 0.161010 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:28 Epoch 0 | Batch 990/2891 | Timestep 990 | LR 0.0000100000 | Loss 0.098993 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:30 Epoch 0 | Batch 1000/2891 | Timestep 1000 | LR 0.0000100000 | Loss 0.184398 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:32 Epoch 0 | Batch 1010/2891 | Timestep 1010 | LR 0.0000100000 | Loss 0.066813 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:34 Epoch 0 | Batch 1020/2891 | Timestep 1020 | LR 0.0000100000 | Loss 0.421977 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:35 Epoch 0 | Batch 1030/2891 | Timestep 1030 | LR 0.0000100000 | Loss 0.082503 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:37 Epoch 0 | Batch 1040/2891 | Timestep 1040 | LR 0.0000100000 | Loss 0.101479 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:38 Epoch 0 | Batch 1050/2891 | Timestep 1050 | LR 0.0000100000 | Loss 0.174519 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:40 Epoch 0 | Batch 1060/2891 | Timestep 1060 | LR 0.0000100000 | Loss 0.191873 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:42 Epoch 0 | Batch 1070/2891 | Timestep 1070 | LR 0.0000100000 | Loss 0.090256 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:43 Epoch 0 | Batch 1080/2891 | Timestep 1080 | LR 0.0000100000 | Loss 0.053027 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:45 Epoch 0 | Batch 1090/2891 | Timestep 1090 | LR 0.0000100000 | Loss 0.066884 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:47 Epoch 0 | Batch 1100/2891 | Timestep 1100 | LR 0.0000100000 | Loss 0.077936 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:48 Epoch 0 | Batch 1110/2891 | Timestep 1110 | LR 0.0000100000 | Loss 0.104108 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:50 Epoch 0 | Batch 1120/2891 | Timestep 1120 | LR 0.0000100000 | Loss 0.054084 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:51 Epoch 0 | Batch 1130/2891 | Timestep 1130 | LR 0.0000100000 | Loss 0.286453 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:53 Epoch 0 | Batch 1140/2891 | Timestep 1140 | LR 0.0000100000 | Loss 0.103538 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:55 Epoch 0 | Batch 1150/2891 | Timestep 1150 | LR 0.0000100000 | Loss 0.089590 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:56 Epoch 0 | Batch 1160/2891 | Timestep 1160 | LR 0.0000100000 | Loss 0.165659 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:57 Epoch 0 | Batch 1170/2891 | Timestep 1170 | LR 0.0000100000 | Loss 0.046518 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:59 Epoch 0 | Batch 1180/2891 | Timestep 1180 | LR 0.0000100000 | Loss 0.069303 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:01 Epoch 0 | Batch 1190/2891 | Timestep 1190 | LR 0.0000100000 | Loss 0.102674 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:02 Epoch 0 | Batch 1200/2891 | Timestep 1200 | LR 0.0000100000 | Loss 0.159730 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:03 Epoch 0 | Batch 1210/2891 | Timestep 1210 | LR 0.0000100000 | Loss 0.197968 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:05 Epoch 0 | Batch 1220/2891 | Timestep 1220 | LR 0.0000100000 | Loss 0.037715 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:07 Epoch 0 | Batch 1230/2891 | Timestep 1230 | LR 0.0000100000 | Loss 0.128269 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:08 Epoch 0 | Batch 1240/2891 | Timestep 1240 | LR 0.0000100000 | Loss 0.043692 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:10 Epoch 0 | Batch 1250/2891 | Timestep 1250 | LR 0.0000100000 | Loss 0.033895 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:11 Epoch 0 | Batch 1260/2891 | Timestep 1260 | LR 0.0000100000 | Loss 0.099857 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:12 Epoch 0 | Batch 1270/2891 | Timestep 1270 | LR 0.0000100000 | Loss 0.043593 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:14 Epoch 0 | Batch 1280/2891 | Timestep 1280 | LR 0.0000100000 | Loss 0.100160 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:16 Epoch 0 | Batch 1290/2891 | Timestep 1290 | LR 0.0000100000 | Loss 0.083988 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:17 Epoch 0 | Batch 1300/2891 | Timestep 1300 | LR 0.0000100000 | Loss 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2025 17:21:39 Epoch 0 | Batch 1450/2891 | Timestep 1450 | LR 0.0000100000 | Loss 0.129427 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:40 Epoch 0 | Batch 1460/2891 | Timestep 1460 | LR 0.0000100000 | Loss 0.106022 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:42 Epoch 0 | Batch 1470/2891 | Timestep 1470 | LR 0.0000100000 | Loss 0.029170 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:44 Epoch 0 | Batch 1480/2891 | Timestep 1480 | LR 0.0000100000 | Loss 0.113617 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:45 Epoch 0 | Batch 1490/2891 | Timestep 1490 | LR 0.0000100000 | Loss 0.192364 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:47 Epoch 0 | Batch 1500/2891 | Timestep 1500 | LR 0.0000100000 | Loss 0.077972 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:48 Epoch 0 | Batch 1510/2891 | Timestep 1510 | LR 0.0000100000 | Loss 0.088046 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:50 Epoch 0 | Batch 1520/2891 | Timestep 1520 | LR 0.0000100000 | Loss 0.029693 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:51 Epoch 0 | Batch 1530/2891 | Timestep 1530 | LR 0.0000100000 | Loss 0.059788 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:53 Epoch 0 | Batch 1540/2891 | Timestep 1540 | LR 0.0000100000 | Loss 0.097549 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:55 Epoch 0 | Batch 1550/2891 | Timestep 1550 | LR 0.0000100000 | Loss 0.062387 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:57 Epoch 0 | Batch 1560/2891 | Timestep 1560 | LR 0.0000100000 | Loss 0.074449 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:58 Epoch 0 | Batch 1570/2891 | Timestep 1570 | LR 0.0000100000 | Loss 0.108244 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:59 Epoch 0 | Batch 1580/2891 | Timestep 1580 | LR 0.0000100000 | Loss 0.105496 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:01 Epoch 0 | Batch 1590/2891 | Timestep 1590 | LR 0.0000100000 | Loss 0.026708 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:03 Epoch 0 | Batch 1600/2891 | Timestep 1600 | LR 0.0000100000 | Loss 0.058626 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:05 Epoch 0 | Batch 1610/2891 | Timestep 1610 | LR 0.0000100000 | Loss 0.073973 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:06 Epoch 0 | Batch 1620/2891 | Timestep 1620 | LR 0.0000100000 | Loss 0.032633 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:08 Epoch 0 | Batch 1630/2891 | Timestep 1630 | LR 0.0000100000 | Loss 0.091210 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:10 Epoch 0 | Batch 1640/2891 | Timestep 1640 | LR 0.0000100000 | Loss 0.078473 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:11 Epoch 0 | Batch 1650/2891 | Timestep 1650 | LR 0.0000100000 | Loss 0.044425 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:13 Epoch 0 | Batch 1660/2891 | Timestep 1660 | LR 0.0000100000 | Loss 0.121238 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:14 Epoch 0 | Batch 1670/2891 | Timestep 1670 | LR 0.0000100000 | Loss 0.109134 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:16 Epoch 0 | Batch 1680/2891 | Timestep 1680 | LR 0.0000100000 | Loss 0.076711 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:17 Epoch 0 | Batch 1690/2891 | Timestep 1690 | LR 0.0000100000 | Loss 0.096190 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:19 Epoch 0 | Batch 1700/2891 | Timestep 1700 | LR 0.0000100000 | Loss 0.055704 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:20 Epoch 0 | Batch 1710/2891 | Timestep 1710 | LR 0.0000100000 | Loss 0.042304 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:22 Epoch 0 | Batch 1720/2891 | Timestep 1720 | LR 0.0000100000 | Loss 0.021804 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:23 Epoch 0 | Batch 1730/2891 | Timestep 1730 | LR 0.0000100000 | Loss 0.067065 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:25 Epoch 0 | Batch 1740/2891 | Timestep 1740 | LR 0.0000100000 | Loss 0.115786 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:27 Epoch 0 | Batch 1750/2891 | Timestep 1750 | LR 0.0000100000 | Loss 0.080850 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:28 Epoch 0 | Batch 1760/2891 | Timestep 1760 | LR 0.0000100000 | Loss 0.110299 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:30 Epoch 0 | Batch 1770/2891 | Timestep 1770 | LR 0.0000100000 | Loss 0.028838 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:31 Epoch 0 | Batch 1780/2891 | Timestep 1780 | LR 0.0000100000 | Loss 0.043193 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:33 Epoch 0 | Batch 1790/2891 | Timestep 1790 | LR 0.0000100000 | Loss 0.082976 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:34 Epoch 0 | Batch 1800/2891 | Timestep 1800 | LR 0.0000100000 | Loss 0.054965 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:36 Epoch 0 | Batch 1810/2891 | Timestep 1810 | LR 0.0000100000 | Loss 0.043545 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:37 Epoch 0 | Batch 1820/2891 | Timestep 1820 | LR 0.0000100000 | Loss 0.022316 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:39 Epoch 0 | Batch 1830/2891 | Timestep 1830 | LR 0.0000100000 | Loss 0.045552 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:41 Epoch 0 | Batch 1840/2891 | Timestep 1840 | LR 0.0000100000 | Loss 0.059065 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:42 Epoch 0 | Batch 1850/2891 | Timestep 1850 | LR 0.0000100000 | Loss 0.062474 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:44 Epoch 0 | Batch 1860/2891 | Timestep 1860 | LR 0.0000100000 | Loss 0.041047 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:45 Epoch 0 | Batch 1870/2891 | Timestep 1870 | LR 0.0000100000 | Loss 0.126712 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:46 Epoch 0 | Batch 1880/2891 | Timestep 1880 | LR 0.0000100000 | Loss 0.101618 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:48 Epoch 0 | Batch 1890/2891 | Timestep 1890 | LR 0.0000100000 | Loss 0.043688 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:49 Epoch 0 | Batch 1900/2891 | Timestep 1900 | LR 0.0000100000 | Loss 0.053921 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:51 Epoch 0 | Batch 1910/2891 | Timestep 1910 | LR 0.0000100000 | Loss 0.044708 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:53 Epoch 0 | Batch 1920/2891 | Timestep 1920 | LR 0.0000100000 | Loss 0.057669 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:54 Epoch 0 | Batch 1930/2891 | Timestep 1930 | LR 0.0000100000 | Loss 0.050420 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:56 Epoch 0 | Batch 1940/2891 | Timestep 1940 | LR 0.0000100000 | Loss 0.034848 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:57 Epoch 0 | Batch 1950/2891 | Timestep 1950 | LR 0.0000100000 | Loss 0.070974 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:22:59 Epoch 0 | Batch 1960/2891 | Timestep 1960 | LR 0.0000100000 | Loss 0.033255 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:00 Epoch 0 | Batch 1970/2891 | Timestep 1970 | LR 0.0000100000 | Loss 0.067355 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:02 Epoch 0 | Batch 1980/2891 | Timestep 1980 | LR 0.0000100000 | Loss 0.039684 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:03 Epoch 0 | Batch 1990/2891 | Timestep 1990 | LR 0.0000100000 | Loss 0.143110 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:05 Epoch 0 | Batch 2000/2891 | Timestep 2000 | LR 0.0000100000 | Loss 0.069723 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:07 Epoch 0 | Batch 2010/2891 | Timestep 2010 | LR 0.0000100000 | Loss 0.092798 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:08 Epoch 0 | Batch 2020/2891 | Timestep 2020 | LR 0.0000100000 | Loss 0.039055 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:10 Epoch 0 | Batch 2030/2891 | Timestep 2030 | LR 0.0000100000 | Loss 0.049641 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:11 Epoch 0 | Batch 2040/2891 | Timestep 2040 | LR 0.0000100000 | Loss 0.022085 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:13 Epoch 0 | Batch 2050/2891 | Timestep 2050 | LR 0.0000100000 | Loss 0.056945 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:14 Epoch 0 | Batch 2060/2891 | Timestep 2060 | LR 0.0000100000 | Loss 0.025947 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:16 Epoch 0 | Batch 2070/2891 | Timestep 2070 | LR 0.0000100000 | Loss 0.069774 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:18 Epoch 0 | Batch 2080/2891 | Timestep 2080 | LR 0.0000100000 | Loss 0.054275 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:19 Epoch 0 | Batch 2090/2891 | Timestep 2090 | LR 0.0000100000 | Loss 0.040747 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:21 Epoch 0 | Batch 2100/2891 | Timestep 2100 | LR 0.0000100000 | Loss 0.032453 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:22 Epoch 0 | Batch 2110/2891 | Timestep 2110 | LR 0.0000100000 | Loss 0.015654 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:24 Epoch 0 | Batch 2120/2891 | Timestep 2120 | LR 0.0000100000 | Loss 0.036754 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:25 Epoch 0 | Batch 2130/2891 | Timestep 2130 | LR 0.0000100000 | Loss 0.016040 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:27 Epoch 0 | Batch 2140/2891 | Timestep 2140 | LR 0.0000100000 | Loss 0.029609 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:29 Epoch 0 | Batch 2150/2891 | Timestep 2150 | LR 0.0000100000 | Loss 0.022385 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:31 Epoch 0 | Batch 2160/2891 | Timestep 2160 | LR 0.0000100000 | Loss 0.131770 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:32 Epoch 0 | Batch 2170/2891 | Timestep 2170 | LR 0.0000100000 | Loss 0.107806 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:34 Epoch 0 | Batch 2180/2891 | Timestep 2180 | LR 0.0000100000 | Loss 0.025408 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:35 Epoch 0 | Batch 2190/2891 | Timestep 2190 | LR 0.0000100000 | Loss 0.037091 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:36 Epoch 0 | Batch 2200/2891 | Timestep 2200 | LR 0.0000100000 | Loss 0.086414 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:38 Epoch 0 | Batch 2210/2891 | Timestep 2210 | LR 0.0000100000 | Loss 0.022454 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:40 Epoch 0 | Batch 2220/2891 | Timestep 2220 | LR 0.0000100000 | Loss 0.120866 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:42 Epoch 0 | Batch 2230/2891 | Timestep 2230 | LR 0.0000100000 | Loss 0.084360 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:43 Epoch 0 | Batch 2240/2891 | Timestep 2240 | LR 0.0000100000 | Loss 0.034077 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:45 Epoch 0 | Batch 2250/2891 | Timestep 2250 | LR 0.0000100000 | Loss 0.085988 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:46 Epoch 0 | Batch 2260/2891 | Timestep 2260 | LR 0.0000100000 | Loss 0.071284 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:48 Epoch 0 | Batch 2270/2891 | Timestep 2270 | LR 0.0000100000 | Loss 0.039183 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:50 Epoch 0 | Batch 2280/2891 | Timestep 2280 | LR 0.0000100000 | Loss 0.050379 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:52 Epoch 0 | Batch 2290/2891 | Timestep 2290 | LR 0.0000100000 | Loss 0.148289 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:53 Epoch 0 | Batch 2300/2891 | Timestep 2300 | LR 0.0000100000 | Loss 0.058585 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:55 Epoch 0 | Batch 2310/2891 | Timestep 2310 | LR 0.0000100000 | Loss 0.156041 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:56 Epoch 0 | Batch 2320/2891 | Timestep 2320 | LR 0.0000100000 | Loss 0.037304 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:23:58 Epoch 0 | Batch 2330/2891 | Timestep 2330 | LR 0.0000100000 | Loss 0.026495 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:00 Epoch 0 | Batch 2340/2891 | Timestep 2340 | LR 0.0000100000 | Loss 0.089373 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:01 Epoch 0 | Batch 2350/2891 | Timestep 2350 | LR 0.0000100000 | Loss 0.057227 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:03 Epoch 0 | Batch 2360/2891 | Timestep 2360 | LR 0.0000100000 | Loss 0.038392 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:04 Epoch 0 | Batch 2370/2891 | Timestep 2370 | LR 0.0000100000 | Loss 0.041693 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:06 Epoch 0 | Batch 2380/2891 | Timestep 2380 | LR 0.0000100000 | Loss 0.105855 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:07 Epoch 0 | Batch 2390/2891 | Timestep 2390 | LR 0.0000100000 | Loss 0.074155 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:09 Epoch 0 | Batch 2400/2891 | Timestep 2400 | LR 0.0000100000 | Loss 0.108507 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:10 Epoch 0 | Batch 2410/2891 | Timestep 2410 | LR 0.0000100000 | Loss 0.058763 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:12 Epoch 0 | Batch 2420/2891 | Timestep 2420 | LR 0.0000100000 | Loss 0.056435 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:14 Epoch 0 | Batch 2430/2891 | Timestep 2430 | LR 0.0000100000 | Loss 0.059662 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:15 Epoch 0 | Batch 2440/2891 | Timestep 2440 | LR 0.0000100000 | Loss 0.053110 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:17 Epoch 0 | Batch 2450/2891 | Timestep 2450 | LR 0.0000100000 | Loss 0.069619 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:19 Epoch 0 | Batch 2460/2891 | Timestep 2460 | LR 0.0000100000 | Loss 0.108594 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:20 Epoch 0 | Batch 2470/2891 | Timestep 2470 | LR 0.0000100000 | Loss 0.060338 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:22 Epoch 0 | Batch 2480/2891 | Timestep 2480 | LR 0.0000100000 | Loss 0.089555 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:23 Epoch 0 | Batch 2490/2891 | Timestep 2490 | LR 0.0000100000 | Loss 0.055306 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:25 Epoch 0 | Batch 2500/2891 | Timestep 2500 | LR 0.0000100000 | Loss 0.036779 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:27 Epoch 0 | Batch 2510/2891 | Timestep 2510 | LR 0.0000100000 | Loss 0.042773 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:28 Epoch 0 | Batch 2520/2891 | Timestep 2520 | LR 0.0000100000 | Loss 0.017559 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:30 Epoch 0 | Batch 2530/2891 | Timestep 2530 | LR 0.0000100000 | Loss 0.069712 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:31 Epoch 0 | Batch 2540/2891 | Timestep 2540 | LR 0.0000100000 | Loss 0.117298 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:33 Epoch 0 | Batch 2550/2891 | Timestep 2550 | LR 0.0000100000 | Loss 0.031819 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:34 Epoch 0 | Batch 2560/2891 | Timestep 2560 | LR 0.0000100000 | Loss 0.049663 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:36 Epoch 0 | Batch 2570/2891 | Timestep 2570 | LR 0.0000100000 | Loss 0.045702 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:37 Epoch 0 | Batch 2580/2891 | Timestep 2580 | LR 0.0000100000 | Loss 0.025068 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:39 Epoch 0 | Batch 2590/2891 | Timestep 2590 | LR 0.0000100000 | Loss 0.058759 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:41 Epoch 0 | Batch 2600/2891 | Timestep 2600 | LR 0.0000100000 | Loss 0.055264 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:43 Epoch 0 | Batch 2610/2891 | Timestep 2610 | LR 0.0000100000 | Loss 0.086657 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:44 Epoch 0 | Batch 2620/2891 | Timestep 2620 | LR 0.0000100000 | Loss 0.062813 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:45 Epoch 0 | Batch 2630/2891 | Timestep 2630 | LR 0.0000100000 | Loss 0.033054 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:47 Epoch 0 | Batch 2640/2891 | Timestep 2640 | LR 0.0000100000 | Loss 0.021111 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:49 Epoch 0 | Batch 2650/2891 | Timestep 2650 | LR 0.0000100000 | Loss 0.161543 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:50 Epoch 0 | Batch 2660/2891 | Timestep 2660 | LR 0.0000100000 | Loss 0.051916 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:52 Epoch 0 | Batch 2670/2891 | Timestep 2670 | LR 0.0000100000 | Loss 0.123840 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:53 Epoch 0 | Batch 2680/2891 | Timestep 2680 | LR 0.0000100000 | Loss 0.052595 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:55 Epoch 0 | Batch 2690/2891 | Timestep 2690 | LR 0.0000100000 | Loss 0.068136 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:56 Epoch 0 | Batch 2700/2891 | Timestep 2700 | LR 0.0000100000 | Loss 0.094128 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:24:58 Epoch 0 | Batch 2710/2891 | Timestep 2710 | LR 0.0000100000 | Loss 0.045273 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:00 Epoch 0 | Batch 2720/2891 | Timestep 2720 | LR 0.0000100000 | Loss 0.043620 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:01 Epoch 0 | Batch 2730/2891 | Timestep 2730 | LR 0.0000100000 | Loss 0.016691 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:03 Epoch 0 | Batch 2740/2891 | Timestep 2740 | LR 0.0000100000 | Loss 0.163628 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:04 Epoch 0 | Batch 2750/2891 | Timestep 2750 | LR 0.0000100000 | Loss 0.113760 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:06 Epoch 0 | Batch 2760/2891 | Timestep 2760 | LR 0.0000100000 | Loss 0.019922 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:08 Epoch 0 | Batch 2770/2891 | Timestep 2770 | LR 0.0000100000 | Loss 0.093875 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:09 Epoch 0 | Batch 2780/2891 | Timestep 2780 | LR 0.0000100000 | Loss 0.024251 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:11 Epoch 0 | Batch 2790/2891 | Timestep 2790 | LR 0.0000100000 | Loss 0.076852 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:12 Epoch 0 | Batch 2800/2891 | Timestep 2800 | LR 0.0000100000 | Loss 0.134321 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:14 Epoch 0 | Batch 2810/2891 | Timestep 2810 | LR 0.0000100000 | Loss 0.047008 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:16 Epoch 0 | Batch 2820/2891 | Timestep 2820 | LR 0.0000100000 | Loss 0.041528 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:18 Epoch 0 | Batch 2830/2891 | Timestep 2830 | LR 0.0000100000 | Loss 0.023666 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:19 Epoch 0 | Batch 2840/2891 | Timestep 2840 | LR 0.0000100000 | Loss 0.201209 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:21 Epoch 0 | Batch 2850/2891 | Timestep 2850 | LR 0.0000100000 | Loss 0.115123 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:23 Epoch 0 | Batch 2860/2891 | Timestep 2860 | LR 0.0000100000 | Loss 0.039304 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:24 Epoch 0 | Batch 2870/2891 | Timestep 2870 | LR 0.0000100000 | Loss 0.041234 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:25 Epoch 0 | Batch 2880/2891 | Timestep 2880 | LR 0.0000100000 | Loss 0.100007 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:27 Epoch 0 | Batch 2890/2891 | Timestep 2890 | LR 0.0000100000 | Loss 0.036070 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:27 ** Evaluating on validation dataset ** INFO root Tue, 28 Oct 2025 17:25:44 precision recall f1-score support CARDINAL 0.6477 0.6706 0.6590 170 CURR 0.0000 0.0000 0.0000 2 DATE 0.8492 0.9165 0.8816 1592 EVENT 0.5503 0.6986 0.6156 282 FAC 0.4811 0.5543 0.5152 92 GPE 0.8612 0.8563 0.8588 1051 LANGUAGE 0.0000 0.0000 0.0000 16 LAW 0.3443 0.4468 0.3889 47 LOC 0.7368 0.3784 0.5000 74 MONEY 0.2222 0.3636 0.2759 22 NORP 0.5108 0.6988 0.5902 508 OCC 0.7869 0.7977 0.7923 514 ORDINAL 0.8414 0.8584 0.8498 445 ORG 0.8094 0.9094 0.8565 1578 PERCENT 0.0000 0.0000 0.0000 12 PERS 0.9144 0.9233 0.9188 613 PRODUCT 0.0000 0.0000 0.0000 8 QUANTITY 0.0000 0.0000 0.0000 3 TIME 0.0000 0.0000 0.0000 33 UNIT 0.0000 0.0000 0.0000 1 WEBSITE 0.3077 0.1000 0.1509 80 micro avg 0.7781 0.8307 0.8036 7143 macro avg 0.4221 0.4368 0.4216 7143 weighted avg 0.7760 0.8307 0.7997 7143 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:45 Epoch 0 | Timestep 2891 | Train Loss 0.144003 | Val Loss 0.062279 | F1 0.803575 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:25:45 ** Validation improved, evaluating test data ** INFO arabiner.data.transforms Tue, 28 Oct 2025 17:26:04 Truncating the sequence لكن صوت جوالي مزعج ما دفعني للنهوض وبعصبية وارتباك من هذا الاتصال وخصوصا أن الساعة الواحدة والنصف يعنى عز دين النوم فأمسكت الجوال وقمت بالضغط على زر الرد . فقلت الو مين معي فقال معك الرئيس فقلت رئيس مين بالضبط فقال جورج بوش رئيس الولايات المتحدة الأمريكية فقلت اهلا أهلا يا سيادة الرئيس , بس أنا على حد علمي انه الرئيس جورج بوش بتكلم اللغة الانجليزية فكيف أنت بتحكي عربي بوش انأ بتكلم اللغة العربية جيدا حتى أنى ممكن أحكى باللهجة الغزواية . فقلت عليك اه خير شو مالك متصل فيا وكيف عرفت رقمي بوش ما في شي قلت أسال كيف أهل غزة بجو الحصار أما كيف عرفت رقمك فقلت لمديرة مكتبي أعطيني اتصال مباشر مع اى شخص من غزة فقلت غزة ااه بدك تعرف أخبار غزة صامدين صامدين ومش راح نتخلى عن الثوابت الفلسطينية لو شو ما تعملوا بوش يعنى بدك تقنعني انه ما فى نتيجة من الحصار فقلت لا ما في نتيجة لأنه إحنا بنخاف على بعض وبنحب بعض حتى رغيف الخبز مرات بنتقاسموا بوش اه واضح حتى التعذيب بتتقاسموه بالضفة وغزة فقلت يا عمى هيك عارف كل شى , شو بدك من الأخر لأني بدى أنام بوش شو رأيك تحضر مؤتمر انابولس فقلت احضر شو , شمعنا أنا يعني بوش هيك اجت فى بالى الفكرة فقلت لا لا مش فاضى , ميش مستعد اضيع وقتي في شي عارف نهايته بوش طيب تابعنا على التلفزيون منه بتعرف شو صار قلت صدقني وقتي فل , بكون بقرا بكتاب الجنة لا تبعد كثيرا بوش غريبة أول إنسان عربي ادعوه على المؤتمر ويكون وقته مشغول قلت شكلوا الكل مضيوف بالبيت الأبيض بوش اه مليان مش عارف أتحرك براحتي مخنوق فقلت اذا انت مخنوق شو نقول احنا بوش عارف بحاول معهم لكن لا حياة لمن تنادى من الطرفين وحابب اخذ رايك بالموضوع هل فى امل ? فقلت : رأي انك تستقيل قبل مؤتمر انابولس واكسب بياض الوجه وسيبك من الشرق الأوسط صدقني ما بتستاهلوا شي بوش : لا وحياتك راح يستقيل اولمرت وعباس اذا صار شي فقلت : اسمحي بدى أنام نعسان , بس دير بالك على العراق وأفغانستان اصلو بسمع انه في قتلي بشكل غريب بوش : وما تقلق راح أتوصي بإيران كويس وراح نعمل الوطن العربي كله سلطة قلت : طيب يالله سلام بوش : بس ما تنسانى قلت : له / هو فى حدا راح ينساك وانقطع حلمي برنه جوال حقيقة شرذمت ما تبقى من الحلم , فاعذروني فما هذه المكالمة إلا من عتمة أفكاري فأتمنى للرئيس عباس كل التوفيق وأرجو الا يكون هذا المؤتمر هو رحلة حب قصيرة الأمد . to 510 INFO root Tue, 28 Oct 2025 17:26:18 Predictions written to /rep/nhamad/ArabicNER/newTraining/Wojoodoutput/predictions.txt INFO root Tue, 28 Oct 2025 17:26:20 precision recall f1-score support CARDINAL 0.6648 0.6979 0.6810 341 CURR 0.0000 0.0000 0.0000 8 DATE 0.8567 0.9320 0.8928 3028 EVENT 0.5973 0.7200 0.6529 550 FAC 0.5251 0.5808 0.5516 198 GPE 0.8438 0.8580 0.8509 2254 LANGUAGE 0.0000 0.0000 0.0000 44 LAW 0.4259 0.5111 0.4646 90 LOC 0.5000 0.2330 0.3178 176 MONEY 0.1587 0.3030 0.2083 33 NORP 0.5184 0.7102 0.5993 1011 OCC 0.7929 0.7929 0.7929 1091 ORDINAL 0.8128 0.8549 0.8333 889 ORG 0.8027 0.9038 0.8503 3182 PERCENT 0.0000 0.0000 0.0000 33 PERS 0.8987 0.9178 0.9081 1411 PRODUCT 0.0000 0.0000 0.0000 17 QUANTITY 0.0000 0.0000 0.0000 9 TIME 0.0000 0.0000 0.0000 84 UNIT 0.0000 0.0000 0.0000 2 WEBSITE 0.2742 0.1466 0.1910 116 micro avg 0.7790 0.8329 0.8050 14567 macro avg 0.4130 0.4363 0.4188 14567 weighted avg 0.7725 0.8329 0.7996 14567 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:21 Epoch 0 | Timestep 2891 | Test Loss 0.064987 | F1 0.805029 INFO arabiner.trainers.BaseTrainer Tue, 28 Oct 2025 17:26:21 Saving checkpoint to /rep/nhamad/ArabicNER/newTraining/Wojoodoutput/checkpoints/checkpoint_0.pt INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:26 Epoch 1 | Batch 9/2891 | Timestep 2900 | LR 0.0000100000 | Loss 0.198316 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:27 Epoch 1 | Batch 19/2891 | Timestep 2910 | LR 0.0000100000 | Loss 0.061944 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:29 Epoch 1 | Batch 29/2891 | Timestep 2920 | LR 0.0000100000 | Loss 0.109376 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:31 Epoch 1 | Batch 39/2891 | Timestep 2930 | LR 0.0000100000 | Loss 0.039079 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:32 Epoch 1 | Batch 49/2891 | Timestep 2940 | LR 0.0000100000 | Loss 0.020886 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:33 Epoch 1 | Batch 59/2891 | Timestep 2950 | LR 0.0000100000 | Loss 0.022731 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:35 Epoch 1 | Batch 69/2891 | Timestep 2960 | LR 0.0000100000 | Loss 0.056143 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:37 Epoch 1 | Batch 79/2891 | Timestep 2970 | LR 0.0000100000 | Loss 0.028637 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:38 Epoch 1 | Batch 89/2891 | Timestep 2980 | LR 0.0000100000 | Loss 0.094786 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:40 Epoch 1 | Batch 99/2891 | Timestep 2990 | LR 0.0000100000 | Loss 0.041401 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:42 Epoch 1 | Batch 109/2891 | Timestep 3000 | LR 0.0000100000 | Loss 0.070608 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:43 Epoch 1 | Batch 119/2891 | Timestep 3010 | LR 0.0000100000 | Loss 0.054045 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:44 Epoch 1 | Batch 129/2891 | Timestep 3020 | LR 0.0000100000 | Loss 0.029716 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:46 Epoch 1 | Batch 139/2891 | Timestep 3030 | LR 0.0000100000 | Loss 0.025546 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:47 Epoch 1 | Batch 149/2891 | Timestep 3040 | LR 0.0000100000 | Loss 0.013068 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:49 Epoch 1 | Batch 159/2891 | Timestep 3050 | LR 0.0000100000 | Loss 0.010797 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:50 Epoch 1 | Batch 169/2891 | Timestep 3060 | LR 0.0000100000 | Loss 0.070090 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:52 Epoch 1 | Batch 179/2891 | Timestep 3070 | LR 0.0000100000 | Loss 0.011979 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:53 Epoch 1 | Batch 189/2891 | Timestep 3080 | LR 0.0000100000 | Loss 0.092052 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:55 Epoch 1 | Batch 199/2891 | Timestep 3090 | LR 0.0000100000 | Loss 0.018606 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:56 Epoch 1 | Batch 209/2891 | Timestep 3100 | LR 0.0000100000 | Loss 0.036984 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:58 Epoch 1 | Batch 219/2891 | Timestep 3110 | LR 0.0000100000 | Loss 0.032967 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:26:59 Epoch 1 | Batch 229/2891 | Timestep 3120 | LR 0.0000100000 | Loss 0.048397 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:00 Epoch 1 | Batch 239/2891 | Timestep 3130 | LR 0.0000100000 | Loss 0.062463 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:02 Epoch 1 | Batch 249/2891 | Timestep 3140 | LR 0.0000100000 | Loss 0.039928 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:04 Epoch 1 | Batch 259/2891 | Timestep 3150 | LR 0.0000100000 | Loss 0.085792 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:05 Epoch 1 | Batch 269/2891 | Timestep 3160 | LR 0.0000100000 | Loss 0.040850 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:07 Epoch 1 | Batch 279/2891 | Timestep 3170 | LR 0.0000100000 | Loss 0.059708 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:08 Epoch 1 | Batch 289/2891 | Timestep 3180 | LR 0.0000100000 | Loss 0.070082 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:11 Epoch 1 | Batch 299/2891 | Timestep 3190 | LR 0.0000100000 | Loss 0.043752 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:12 Epoch 1 | Batch 309/2891 | Timestep 3200 | LR 0.0000100000 | Loss 0.017107 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:14 Epoch 1 | Batch 319/2891 | Timestep 3210 | LR 0.0000100000 | Loss 0.069857 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:15 Epoch 1 | Batch 329/2891 | Timestep 3220 | LR 0.0000100000 | Loss 0.036821 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:17 Epoch 1 | Batch 339/2891 | Timestep 3230 | LR 0.0000100000 | Loss 0.065367 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:18 Epoch 1 | Batch 349/2891 | Timestep 3240 | LR 0.0000100000 | Loss 0.080848 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:20 Epoch 1 | Batch 359/2891 | Timestep 3250 | LR 0.0000100000 | Loss 0.020397 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:21 Epoch 1 | Batch 369/2891 | Timestep 3260 | LR 0.0000100000 | Loss 0.063979 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:23 Epoch 1 | Batch 379/2891 | Timestep 3270 | LR 0.0000100000 | Loss 0.067208 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:25 Epoch 1 | Batch 389/2891 | Timestep 3280 | LR 0.0000100000 | Loss 0.136872 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:26 Epoch 1 | Batch 399/2891 | Timestep 3290 | LR 0.0000100000 | Loss 0.075716 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:28 Epoch 1 | Batch 409/2891 | Timestep 3300 | LR 0.0000100000 | Loss 0.032765 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:29 Epoch 1 | Batch 419/2891 | Timestep 3310 | LR 0.0000100000 | Loss 0.062887 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:31 Epoch 1 | Batch 429/2891 | Timestep 3320 | LR 0.0000100000 | Loss 0.040078 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:33 Epoch 1 | Batch 439/2891 | Timestep 3330 | LR 0.0000100000 | Loss 0.038001 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:34 Epoch 1 | Batch 449/2891 | Timestep 3340 | LR 0.0000100000 | Loss 0.049348 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:35 Epoch 1 | Batch 459/2891 | Timestep 3350 | LR 0.0000100000 | Loss 0.052375 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:37 Epoch 1 | Batch 469/2891 | Timestep 3360 | LR 0.0000100000 | Loss 0.018015 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:38 Epoch 1 | Batch 479/2891 | Timestep 3370 | LR 0.0000100000 | Loss 0.045703 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:40 Epoch 1 | Batch 489/2891 | Timestep 3380 | LR 0.0000100000 | Loss 0.008793 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:41 Epoch 1 | Batch 499/2891 | Timestep 3390 | LR 0.0000100000 | Loss 0.083026 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:43 Epoch 1 | Batch 509/2891 | Timestep 3400 | LR 0.0000100000 | Loss 0.032996 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:44 Epoch 1 | Batch 519/2891 | Timestep 3410 | LR 0.0000100000 | Loss 0.027958 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:46 Epoch 1 | Batch 529/2891 | Timestep 3420 | LR 0.0000100000 | Loss 0.042384 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:47 Epoch 1 | Batch 539/2891 | Timestep 3430 | LR 0.0000100000 | Loss 0.015594 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:49 Epoch 1 | Batch 549/2891 | Timestep 3440 | LR 0.0000100000 | Loss 0.033462 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:50 Epoch 1 | Batch 559/2891 | Timestep 3450 | LR 0.0000100000 | Loss 0.011640 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:51 Epoch 1 | Batch 569/2891 | Timestep 3460 | LR 0.0000100000 | Loss 0.014204 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:53 Epoch 1 | Batch 579/2891 | Timestep 3470 | LR 0.0000100000 | Loss 0.026506 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:55 Epoch 1 | Batch 589/2891 | Timestep 3480 | LR 0.0000100000 | Loss 0.046481 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:56 Epoch 1 | Batch 599/2891 | Timestep 3490 | LR 0.0000100000 | Loss 0.009557 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:58 Epoch 1 | Batch 609/2891 | Timestep 3500 | LR 0.0000100000 | Loss 0.064487 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:27:59 Epoch 1 | Batch 619/2891 | Timestep 3510 | LR 0.0000100000 | Loss 0.041486 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:01 Epoch 1 | Batch 629/2891 | Timestep 3520 | LR 0.0000100000 | Loss 0.097112 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:02 Epoch 1 | Batch 639/2891 | Timestep 3530 | LR 0.0000100000 | Loss 0.035863 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:04 Epoch 1 | Batch 649/2891 | Timestep 3540 | LR 0.0000100000 | Loss 0.136677 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:05 Epoch 1 | Batch 659/2891 | Timestep 3550 | LR 0.0000100000 | Loss 0.008752 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:07 Epoch 1 | Batch 669/2891 | Timestep 3560 | LR 0.0000100000 | Loss 0.026843 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:09 Epoch 1 | Batch 679/2891 | Timestep 3570 | LR 0.0000100000 | Loss 0.040673 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:10 Epoch 1 | Batch 689/2891 | Timestep 3580 | LR 0.0000100000 | Loss 0.026572 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:12 Epoch 1 | Batch 699/2891 | Timestep 3590 | LR 0.0000100000 | Loss 0.047467 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:13 Epoch 1 | Batch 709/2891 | Timestep 3600 | LR 0.0000100000 | Loss 0.049786 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:15 Epoch 1 | Batch 719/2891 | Timestep 3610 | LR 0.0000100000 | Loss 0.020238 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:17 Epoch 1 | Batch 729/2891 | Timestep 3620 | LR 0.0000100000 | Loss 0.026477 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:18 Epoch 1 | Batch 739/2891 | Timestep 3630 | LR 0.0000100000 | Loss 0.044147 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:20 Epoch 1 | Batch 749/2891 | Timestep 3640 | LR 0.0000100000 | Loss 0.054979 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:21 Epoch 1 | Batch 759/2891 | Timestep 3650 | LR 0.0000100000 | Loss 0.022915 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:23 Epoch 1 | Batch 769/2891 | Timestep 3660 | LR 0.0000100000 | Loss 0.037051 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:24 Epoch 1 | Batch 779/2891 | Timestep 3670 | LR 0.0000100000 | Loss 0.096028 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:26 Epoch 1 | Batch 789/2891 | Timestep 3680 | LR 0.0000100000 | Loss 0.048654 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:27 Epoch 1 | Batch 799/2891 | Timestep 3690 | LR 0.0000100000 | Loss 0.007248 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:29 Epoch 1 | Batch 809/2891 | Timestep 3700 | LR 0.0000100000 | Loss 0.089837 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:30 Epoch 1 | Batch 819/2891 | Timestep 3710 | LR 0.0000100000 | Loss 0.038852 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:31 Epoch 1 | Batch 829/2891 | Timestep 3720 | LR 0.0000100000 | Loss 0.103343 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:33 Epoch 1 | Batch 839/2891 | Timestep 3730 | LR 0.0000100000 | Loss 0.013581 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:34 Epoch 1 | Batch 849/2891 | Timestep 3740 | LR 0.0000100000 | Loss 0.058657 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:36 Epoch 1 | Batch 859/2891 | Timestep 3750 | LR 0.0000100000 | Loss 0.050527 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:37 Epoch 1 | Batch 869/2891 | Timestep 3760 | LR 0.0000100000 | Loss 0.018756 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:39 Epoch 1 | Batch 879/2891 | Timestep 3770 | LR 0.0000100000 | Loss 0.032555 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:40 Epoch 1 | Batch 889/2891 | Timestep 3780 | LR 0.0000100000 | Loss 0.046972 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:42 Epoch 1 | Batch 899/2891 | Timestep 3790 | LR 0.0000100000 | Loss 0.047636 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:44 Epoch 1 | Batch 909/2891 | Timestep 3800 | LR 0.0000100000 | Loss 0.067328 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:45 Epoch 1 | Batch 919/2891 | Timestep 3810 | LR 0.0000100000 | Loss 0.039232 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:47 Epoch 1 | Batch 929/2891 | Timestep 3820 | LR 0.0000100000 | Loss 0.140609 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:49 Epoch 1 | Batch 939/2891 | Timestep 3830 | LR 0.0000100000 | Loss 0.076466 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:50 Epoch 1 | Batch 949/2891 | Timestep 3840 | LR 0.0000100000 | Loss 0.047505 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:52 Epoch 1 | Batch 959/2891 | Timestep 3850 | LR 0.0000100000 | Loss 0.082811 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:53 Epoch 1 | Batch 969/2891 | Timestep 3860 | LR 0.0000100000 | Loss 0.007752 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:55 Epoch 1 | Batch 979/2891 | Timestep 3870 | LR 0.0000100000 | Loss 0.155438 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:57 Epoch 1 | Batch 989/2891 | Timestep 3880 | LR 0.0000100000 | Loss 0.050818 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:58 Epoch 1 | Batch 999/2891 | Timestep 3890 | LR 0.0000100000 | Loss 0.025918 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:28:59 Epoch 1 | Batch 1009/2891 | Timestep 3900 | LR 0.0000100000 | Loss 0.026206 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:02 Epoch 1 | Batch 1019/2891 | Timestep 3910 | LR 0.0000100000 | Loss 0.021435 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:03 Epoch 1 | Batch 1029/2891 | Timestep 3920 | LR 0.0000100000 | Loss 0.049119 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:05 Epoch 1 | Batch 1039/2891 | Timestep 3930 | LR 0.0000100000 | Loss 0.043650 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:06 Epoch 1 | Batch 1049/2891 | Timestep 3940 | LR 0.0000100000 | Loss 0.029799 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:07 Epoch 1 | Batch 1059/2891 | Timestep 3950 | LR 0.0000100000 | Loss 0.072510 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:09 Epoch 1 | Batch 1069/2891 | Timestep 3960 | LR 0.0000100000 | Loss 0.051883 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:10 Epoch 1 | Batch 1079/2891 | Timestep 3970 | LR 0.0000100000 | Loss 0.041722 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:12 Epoch 1 | Batch 1089/2891 | Timestep 3980 | LR 0.0000100000 | Loss 0.069401 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:14 Epoch 1 | Batch 1099/2891 | Timestep 3990 | LR 0.0000100000 | Loss 0.101652 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:15 Epoch 1 | Batch 1109/2891 | Timestep 4000 | LR 0.0000100000 | Loss 0.171913 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:17 Epoch 1 | Batch 1119/2891 | Timestep 4010 | LR 0.0000100000 | Loss 0.048037 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:19 Epoch 1 | Batch 1129/2891 | Timestep 4020 | LR 0.0000100000 | Loss 0.036740 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:20 Epoch 1 | Batch 1139/2891 | Timestep 4030 | LR 0.0000100000 | Loss 0.023477 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:22 Epoch 1 | Batch 1149/2891 | Timestep 4040 | LR 0.0000100000 | Loss 0.040183 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:23 Epoch 1 | Batch 1159/2891 | Timestep 4050 | LR 0.0000100000 | Loss 0.096076 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:25 Epoch 1 | Batch 1169/2891 | Timestep 4060 | LR 0.0000100000 | Loss 0.040252 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:26 Epoch 1 | Batch 1179/2891 | Timestep 4070 | LR 0.0000100000 | Loss 0.017177 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:28 Epoch 1 | Batch 1189/2891 | Timestep 4080 | LR 0.0000100000 | Loss 0.049226 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:30 Epoch 1 | Batch 1199/2891 | Timestep 4090 | LR 0.0000100000 | Loss 0.032813 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:31 Epoch 1 | Batch 1209/2891 | Timestep 4100 | LR 0.0000100000 | Loss 0.064592 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:33 Epoch 1 | Batch 1219/2891 | Timestep 4110 | LR 0.0000100000 | Loss 0.019424 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:34 Epoch 1 | Batch 1229/2891 | Timestep 4120 | LR 0.0000100000 | Loss 0.018171 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:36 Epoch 1 | Batch 1239/2891 | Timestep 4130 | LR 0.0000100000 | Loss 0.057956 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:37 Epoch 1 | Batch 1249/2891 | Timestep 4140 | LR 0.0000100000 | Loss 0.055459 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:39 Epoch 1 | Batch 1259/2891 | Timestep 4150 | LR 0.0000100000 | Loss 0.012048 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:40 Epoch 1 | Batch 1269/2891 | Timestep 4160 | LR 0.0000100000 | Loss 0.043962 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:42 Epoch 1 | Batch 1279/2891 | Timestep 4170 | LR 0.0000100000 | Loss 0.080418 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:44 Epoch 1 | Batch 1289/2891 | Timestep 4180 | LR 0.0000100000 | Loss 0.058120 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:46 Epoch 1 | Batch 1299/2891 | Timestep 4190 | LR 0.0000100000 | Loss 0.078090 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:47 Epoch 1 | Batch 1309/2891 | Timestep 4200 | LR 0.0000100000 | Loss 0.042827 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:49 Epoch 1 | Batch 1319/2891 | Timestep 4210 | LR 0.0000100000 | Loss 0.024380 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:50 Epoch 1 | Batch 1329/2891 | Timestep 4220 | LR 0.0000100000 | Loss 0.019471 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:52 Epoch 1 | Batch 1339/2891 | Timestep 4230 | LR 0.0000100000 | Loss 0.061567 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:53 Epoch 1 | Batch 1349/2891 | Timestep 4240 | LR 0.0000100000 | Loss 0.027067 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:55 Epoch 1 | Batch 1359/2891 | Timestep 4250 | LR 0.0000100000 | Loss 0.024929 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:56 Epoch 1 | Batch 1369/2891 | Timestep 4260 | LR 0.0000100000 | Loss 0.151657 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:57 Epoch 1 | Batch 1379/2891 | Timestep 4270 | LR 0.0000100000 | Loss 0.017517 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:29:59 Epoch 1 | Batch 1389/2891 | Timestep 4280 | LR 0.0000100000 | Loss 0.085450 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:01 Epoch 1 | Batch 1399/2891 | Timestep 4290 | LR 0.0000100000 | Loss 0.022389 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:02 Epoch 1 | Batch 1409/2891 | Timestep 4300 | LR 0.0000100000 | Loss 0.071958 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:04 Epoch 1 | Batch 1419/2891 | Timestep 4310 | LR 0.0000100000 | Loss 0.024816 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:06 Epoch 1 | Batch 1429/2891 | Timestep 4320 | LR 0.0000100000 | Loss 0.018214 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:07 Epoch 1 | Batch 1439/2891 | Timestep 4330 | LR 0.0000100000 | Loss 0.043959 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:08 Epoch 1 | Batch 1449/2891 | Timestep 4340 | LR 0.0000100000 | Loss 0.075404 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:10 Epoch 1 | Batch 1459/2891 | Timestep 4350 | LR 0.0000100000 | Loss 0.060565 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:11 Epoch 1 | Batch 1469/2891 | Timestep 4360 | LR 0.0000100000 | Loss 0.163958 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:13 Epoch 1 | Batch 1479/2891 | Timestep 4370 | LR 0.0000100000 | Loss 0.034660 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:15 Epoch 1 | Batch 1489/2891 | Timestep 4380 | LR 0.0000100000 | Loss 0.022050 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:17 Epoch 1 | Batch 1499/2891 | Timestep 4390 | LR 0.0000100000 | Loss 0.032031 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:18 Epoch 1 | Batch 1509/2891 | Timestep 4400 | LR 0.0000100000 | Loss 0.100893 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:20 Epoch 1 | Batch 1519/2891 | Timestep 4410 | LR 0.0000100000 | Loss 0.045834 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:21 Epoch 1 | Batch 1529/2891 | Timestep 4420 | LR 0.0000100000 | Loss 0.044901 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:23 Epoch 1 | Batch 1539/2891 | Timestep 4430 | LR 0.0000100000 | Loss 0.098567 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:24 Epoch 1 | Batch 1549/2891 | Timestep 4440 | LR 0.0000100000 | Loss 0.024643 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:26 Epoch 1 | Batch 1559/2891 | Timestep 4450 | LR 0.0000100000 | Loss 0.109798 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:27 Epoch 1 | Batch 1569/2891 | Timestep 4460 | LR 0.0000100000 | Loss 0.078061 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:29 Epoch 1 | Batch 1579/2891 | Timestep 4470 | LR 0.0000100000 | Loss 0.042653 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:30 Epoch 1 | Batch 1589/2891 | Timestep 4480 | LR 0.0000100000 | Loss 0.049795 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:32 Epoch 1 | Batch 1599/2891 | Timestep 4490 | LR 0.0000100000 | Loss 0.031403 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:33 Epoch 1 | Batch 1609/2891 | Timestep 4500 | LR 0.0000100000 | Loss 0.010795 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:35 Epoch 1 | Batch 1619/2891 | Timestep 4510 | LR 0.0000100000 | Loss 0.028648 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:37 Epoch 1 | Batch 1629/2891 | Timestep 4520 | LR 0.0000100000 | Loss 0.059435 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:38 Epoch 1 | Batch 1639/2891 | Timestep 4530 | LR 0.0000100000 | Loss 0.015615 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:40 Epoch 1 | Batch 1649/2891 | Timestep 4540 | LR 0.0000100000 | Loss 0.053779 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:41 Epoch 1 | Batch 1659/2891 | Timestep 4550 | LR 0.0000100000 | Loss 0.026046 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:43 Epoch 1 | Batch 1669/2891 | Timestep 4560 | LR 0.0000100000 | Loss 0.010834 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:44 Epoch 1 | Batch 1679/2891 | Timestep 4570 | LR 0.0000100000 | Loss 0.063047 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:46 Epoch 1 | Batch 1689/2891 | Timestep 4580 | LR 0.0000100000 | Loss 0.071463 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:47 Epoch 1 | Batch 1699/2891 | Timestep 4590 | LR 0.0000100000 | Loss 0.078757 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:49 Epoch 1 | Batch 1709/2891 | Timestep 4600 | LR 0.0000100000 | Loss 0.027327 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:50 Epoch 1 | Batch 1719/2891 | Timestep 4610 | LR 0.0000100000 | Loss 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arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:03 Epoch 1 | Batch 1799/2891 | Timestep 4690 | LR 0.0000100000 | Loss 0.050765 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:05 Epoch 1 | Batch 1809/2891 | Timestep 4700 | LR 0.0000100000 | Loss 0.064481 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:06 Epoch 1 | Batch 1819/2891 | Timestep 4710 | LR 0.0000100000 | Loss 0.039476 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:08 Epoch 1 | Batch 1829/2891 | Timestep 4720 | LR 0.0000100000 | Loss 0.038600 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:10 Epoch 1 | Batch 1839/2891 | Timestep 4730 | LR 0.0000100000 | Loss 0.060280 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:11 Epoch 1 | Batch 1849/2891 | Timestep 4740 | LR 0.0000100000 | Loss 0.041499 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:13 Epoch 1 | Batch 1859/2891 | Timestep 4750 | LR 0.0000100000 | Loss 0.010831 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:15 Epoch 1 | Batch 1869/2891 | Timestep 4760 | LR 0.0000100000 | Loss 0.078400 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:17 Epoch 1 | Batch 1879/2891 | Timestep 4770 | LR 0.0000100000 | Loss 0.030058 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:18 Epoch 1 | Batch 1889/2891 | Timestep 4780 | LR 0.0000100000 | Loss 0.033568 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:20 Epoch 1 | Batch 1899/2891 | Timestep 4790 | LR 0.0000100000 | Loss 0.023651 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:21 Epoch 1 | Batch 1909/2891 | Timestep 4800 | LR 0.0000100000 | Loss 0.028018 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:23 Epoch 1 | Batch 1919/2891 | Timestep 4810 | LR 0.0000100000 | Loss 0.025694 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:25 Epoch 1 | Batch 1929/2891 | Timestep 4820 | LR 0.0000100000 | Loss 0.081705 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:27 Epoch 1 | Batch 1939/2891 | 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arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:49 Epoch 1 | Batch 2089/2891 | Timestep 4980 | LR 0.0000100000 | Loss 0.024175 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:51 Epoch 1 | Batch 2099/2891 | Timestep 4990 | LR 0.0000100000 | Loss 0.027534 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:52 Epoch 1 | Batch 2109/2891 | Timestep 5000 | LR 0.0000100000 | Loss 0.153279 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:54 Epoch 1 | Batch 2119/2891 | Timestep 5010 | LR 0.0000100000 | Loss 0.014873 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:55 Epoch 1 | Batch 2129/2891 | Timestep 5020 | LR 0.0000100000 | Loss 0.035879 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:58 Epoch 1 | Batch 2139/2891 | Timestep 5030 | LR 0.0000100000 | Loss 0.021430 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:00 Epoch 1 | Batch 2149/2891 | Timestep 5040 | LR 0.0000100000 | Loss 0.143990 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:01 Epoch 1 | Batch 2159/2891 | Timestep 5050 | LR 0.0000100000 | Loss 0.061296 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:03 Epoch 1 | Batch 2169/2891 | Timestep 5060 | LR 0.0000100000 | Loss 0.005760 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:04 Epoch 1 | Batch 2179/2891 | Timestep 5070 | LR 0.0000100000 | Loss 0.089507 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:05 Epoch 1 | Batch 2189/2891 | Timestep 5080 | LR 0.0000100000 | Loss 0.023552 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:07 Epoch 1 | Batch 2199/2891 | Timestep 5090 | LR 0.0000100000 | Loss 0.024255 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:08 Epoch 1 | Batch 2209/2891 | Timestep 5100 | LR 0.0000100000 | Loss 0.057327 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:10 Epoch 1 | Batch 2219/2891 | Timestep 5110 | LR 0.0000100000 | Loss 0.037663 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:11 Epoch 1 | Batch 2229/2891 | Timestep 5120 | LR 0.0000100000 | Loss 0.009948 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:13 Epoch 1 | Batch 2239/2891 | Timestep 5130 | LR 0.0000100000 | Loss 0.016707 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:14 Epoch 1 | Batch 2249/2891 | Timestep 5140 | LR 0.0000100000 | Loss 0.015988 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:16 Epoch 1 | Batch 2259/2891 | Timestep 5150 | LR 0.0000100000 | Loss 0.015203 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:17 Epoch 1 | Batch 2269/2891 | Timestep 5160 | LR 0.0000100000 | Loss 0.022005 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:19 Epoch 1 | Batch 2279/2891 | Timestep 5170 | LR 0.0000100000 | Loss 0.075142 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:20 Epoch 1 | Batch 2289/2891 | Timestep 5180 | LR 0.0000100000 | Loss 0.017356 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:22 Epoch 1 | Batch 2299/2891 | Timestep 5190 | LR 0.0000100000 | Loss 0.046006 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:24 Epoch 1 | Batch 2309/2891 | Timestep 5200 | LR 0.0000100000 | Loss 0.049334 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:26 Epoch 1 | Batch 2319/2891 | Timestep 5210 | LR 0.0000100000 | Loss 0.042711 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:28 Epoch 1 | Batch 2329/2891 | Timestep 5220 | LR 0.0000100000 | Loss 0.056943 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:29 Epoch 1 | Batch 2339/2891 | Timestep 5230 | LR 0.0000100000 | Loss 0.076626 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:31 Epoch 1 | Batch 2349/2891 | Timestep 5240 | LR 0.0000100000 | Loss 0.046309 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:33 Epoch 1 | Batch 2359/2891 | Timestep 5250 | LR 0.0000100000 | Loss 0.050089 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:34 Epoch 1 | Batch 2369/2891 | Timestep 5260 | LR 0.0000100000 | Loss 0.027288 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:36 Epoch 1 | Batch 2379/2891 | Timestep 5270 | LR 0.0000100000 | Loss 0.015757 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:37 Epoch 1 | Batch 2389/2891 | Timestep 5280 | LR 0.0000100000 | Loss 0.032887 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:39 Epoch 1 | Batch 2399/2891 | Timestep 5290 | LR 0.0000100000 | Loss 0.005209 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:41 Epoch 1 | Batch 2409/2891 | Timestep 5300 | LR 0.0000100000 | Loss 0.015262 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:42 Epoch 1 | Batch 2419/2891 | Timestep 5310 | LR 0.0000100000 | Loss 0.018225 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:44 Epoch 1 | Batch 2429/2891 | Timestep 5320 | LR 0.0000100000 | Loss 0.052229 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:46 Epoch 1 | Batch 2439/2891 | Timestep 5330 | LR 0.0000100000 | Loss 0.052310 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:48 Epoch 1 | Batch 2449/2891 | Timestep 5340 | LR 0.0000100000 | Loss 0.030806 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:49 Epoch 1 | Batch 2459/2891 | Timestep 5350 | LR 0.0000100000 | Loss 0.031333 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:51 Epoch 1 | Batch 2469/2891 | Timestep 5360 | LR 0.0000100000 | Loss 0.083930 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:52 Epoch 1 | Batch 2479/2891 | Timestep 5370 | LR 0.0000100000 | Loss 0.035341 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:54 Epoch 1 | Batch 2489/2891 | Timestep 5380 | LR 0.0000100000 | Loss 0.017438 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:55 Epoch 1 | Batch 2499/2891 | Timestep 5390 | LR 0.0000100000 | Loss 0.087355 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:57 Epoch 1 | Batch 2509/2891 | Timestep 5400 | LR 0.0000100000 | Loss 0.030058 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:32:58 Epoch 1 | Batch 2519/2891 | Timestep 5410 | LR 0.0000100000 | Loss 0.022251 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:00 Epoch 1 | Batch 2529/2891 | Timestep 5420 | LR 0.0000100000 | Loss 0.012433 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:01 Epoch 1 | Batch 2539/2891 | Timestep 5430 | LR 0.0000100000 | Loss 0.024751 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:03 Epoch 1 | Batch 2549/2891 | Timestep 5440 | LR 0.0000100000 | Loss 0.046655 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:04 Epoch 1 | Batch 2559/2891 | Timestep 5450 | LR 0.0000100000 | Loss 0.021511 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:06 Epoch 1 | Batch 2569/2891 | Timestep 5460 | LR 0.0000100000 | Loss 0.052321 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:07 Epoch 1 | Batch 2579/2891 | Timestep 5470 | LR 0.0000100000 | Loss 0.074719 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:09 Epoch 1 | Batch 2589/2891 | Timestep 5480 | LR 0.0000100000 | Loss 0.104657 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:11 Epoch 1 | Batch 2599/2891 | Timestep 5490 | LR 0.0000100000 | Loss 0.032679 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:12 Epoch 1 | Batch 2609/2891 | Timestep 5500 | LR 0.0000100000 | Loss 0.022842 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:14 Epoch 1 | Batch 2619/2891 | Timestep 5510 | LR 0.0000100000 | Loss 0.043467 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:15 Epoch 1 | Batch 2629/2891 | Timestep 5520 | LR 0.0000100000 | Loss 0.024068 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:17 Epoch 1 | Batch 2639/2891 | Timestep 5530 | LR 0.0000100000 | Loss 0.010037 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:19 Epoch 1 | Batch 2649/2891 | Timestep 5540 | LR 0.0000100000 | Loss 0.035303 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:20 Epoch 1 | Batch 2659/2891 | Timestep 5550 | LR 0.0000100000 | Loss 0.039001 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:22 Epoch 1 | Batch 2669/2891 | Timestep 5560 | LR 0.0000100000 | Loss 0.028535 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:24 Epoch 1 | Batch 2679/2891 | Timestep 5570 | LR 0.0000100000 | Loss 0.003950 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:26 Epoch 1 | Batch 2689/2891 | Timestep 5580 | LR 0.0000100000 | Loss 0.041814 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:28 Epoch 1 | Batch 2699/2891 | Timestep 5590 | LR 0.0000100000 | Loss 0.061874 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:29 Epoch 1 | Batch 2709/2891 | Timestep 5600 | LR 0.0000100000 | Loss 0.011155 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:31 Epoch 1 | Batch 2719/2891 | Timestep 5610 | LR 0.0000100000 | Loss 0.011369 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:33 Epoch 1 | Batch 2729/2891 | Timestep 5620 | LR 0.0000100000 | Loss 0.029657 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:34 Epoch 1 | Batch 2739/2891 | Timestep 5630 | LR 0.0000100000 | Loss 0.009498 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:36 Epoch 1 | Batch 2749/2891 | Timestep 5640 | LR 0.0000100000 | Loss 0.047427 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:38 Epoch 1 | Batch 2759/2891 | Timestep 5650 | LR 0.0000100000 | Loss 0.033564 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:39 Epoch 1 | Batch 2769/2891 | Timestep 5660 | LR 0.0000100000 | Loss 0.067108 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:41 Epoch 1 | Batch 2779/2891 | Timestep 5670 | LR 0.0000100000 | Loss 0.057638 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:43 Epoch 1 | Batch 2789/2891 | Timestep 5680 | LR 0.0000100000 | Loss 0.009171 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:45 Epoch 1 | Batch 2799/2891 | Timestep 5690 | LR 0.0000100000 | Loss 0.048512 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:46 Epoch 1 | Batch 2809/2891 | Timestep 5700 | LR 0.0000100000 | Loss 0.043523 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:48 Epoch 1 | Batch 2819/2891 | Timestep 5710 | LR 0.0000100000 | Loss 0.016394 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:50 Epoch 1 | Batch 2829/2891 | Timestep 5720 | LR 0.0000100000 | Loss 0.018174 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:51 Epoch 1 | Batch 2839/2891 | Timestep 5730 | LR 0.0000100000 | Loss 0.027505 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:53 Epoch 1 | Batch 2849/2891 | Timestep 5740 | LR 0.0000100000 | Loss 0.025917 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:55 Epoch 1 | Batch 2859/2891 | Timestep 5750 | LR 0.0000100000 | Loss 0.016716 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:56 Epoch 1 | Batch 2869/2891 | Timestep 5760 | LR 0.0000100000 | Loss 0.019885 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:57 Epoch 1 | Batch 2879/2891 | Timestep 5770 | LR 0.0000100000 | Loss 0.054774 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:59 Epoch 1 | Batch 2889/2891 | Timestep 5780 | LR 0.0000100000 | Loss 0.045720 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:33:59 ** Evaluating on validation dataset ** INFO root Tue, 28 Oct 2025 17:34:16 precision recall f1-score support CARDINAL 0.8170 0.7353 0.7740 170 CURR 0.0000 0.0000 0.0000 2 DATE 0.9031 0.9366 0.9195 1592 EVENT 0.6431 0.7092 0.6745 282 FAC 0.5345 0.6739 0.5962 92 GPE 0.8708 0.9039 0.8870 1051 LANGUAGE 0.9091 0.6250 0.7407 16 LAW 0.6500 0.8298 0.7290 47 LOC 0.7167 0.5811 0.6418 74 MONEY 0.6000 0.8182 0.6923 22 NORP 0.6371 0.6358 0.6365 508 OCC 0.8033 0.8502 0.8261 514 ORDINAL 0.8820 0.9236 0.9023 445 ORG 0.8640 0.9018 0.8825 1578 PERCENT 0.6667 0.6667 0.6667 12 PERS 0.9280 0.9462 0.9370 613 PRODUCT 0.0000 0.0000 0.0000 8 QUANTITY 0.0000 0.0000 0.0000 3 TIME 0.7083 0.5152 0.5965 33 UNIT 0.0000 0.0000 0.0000 1 WEBSITE 0.3784 0.3500 0.3636 80 micro avg 0.8349 0.8631 0.8488 7143 macro avg 0.5958 0.6001 0.5936 7143 weighted avg 0.8339 0.8631 0.8477 7143 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:34:17 Epoch 1 | Timestep 5782 | Train Loss 0.044880 | Val Loss 0.045052 | F1 0.848764 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:34:17 ** Validation improved, evaluating test data ** INFO arabiner.data.transforms Tue, 28 Oct 2025 17:34:37 Truncating the sequence لكن صوت جوالي مزعج ما دفعني للنهوض وبعصبية وارتباك من هذا الاتصال وخصوصا أن الساعة الواحدة والنصف يعنى عز دين النوم فأمسكت الجوال وقمت بالضغط على زر الرد . فقلت الو مين معي فقال معك الرئيس فقلت رئيس مين بالضبط فقال جورج بوش رئيس الولايات المتحدة الأمريكية فقلت اهلا أهلا يا سيادة الرئيس , بس أنا على حد علمي انه الرئيس جورج بوش بتكلم اللغة الانجليزية فكيف أنت بتحكي عربي بوش انأ بتكلم اللغة العربية جيدا حتى أنى ممكن أحكى باللهجة الغزواية . فقلت عليك اه خير شو مالك متصل فيا وكيف عرفت رقمي بوش ما في شي قلت أسال كيف أهل غزة بجو الحصار أما كيف عرفت رقمك فقلت لمديرة مكتبي أعطيني اتصال مباشر مع اى شخص من غزة فقلت غزة ااه بدك تعرف أخبار غزة صامدين صامدين ومش راح نتخلى عن الثوابت الفلسطينية لو شو ما تعملوا بوش يعنى بدك تقنعني انه ما فى نتيجة من الحصار فقلت لا ما في نتيجة لأنه إحنا بنخاف على بعض وبنحب بعض حتى رغيف الخبز مرات بنتقاسموا بوش اه واضح حتى التعذيب بتتقاسموه بالضفة وغزة فقلت يا عمى هيك عارف كل شى , شو بدك من الأخر لأني بدى أنام بوش شو رأيك تحضر مؤتمر انابولس فقلت احضر شو , شمعنا أنا يعني بوش هيك اجت فى بالى الفكرة فقلت لا لا مش فاضى , ميش مستعد اضيع وقتي في شي عارف نهايته بوش طيب تابعنا على التلفزيون منه بتعرف شو صار قلت صدقني وقتي فل , بكون بقرا بكتاب الجنة لا تبعد كثيرا بوش غريبة أول إنسان عربي ادعوه على المؤتمر ويكون وقته مشغول قلت شكلوا الكل مضيوف بالبيت الأبيض بوش اه مليان مش عارف أتحرك براحتي مخنوق فقلت اذا انت مخنوق شو نقول احنا بوش عارف بحاول معهم لكن لا حياة لمن تنادى من الطرفين وحابب اخذ رايك بالموضوع هل فى امل ? فقلت : رأي انك تستقيل قبل مؤتمر انابولس واكسب بياض الوجه وسيبك من الشرق الأوسط صدقني ما بتستاهلوا شي بوش : لا وحياتك راح يستقيل اولمرت وعباس اذا صار شي فقلت : اسمحي بدى أنام نعسان , بس دير بالك على العراق وأفغانستان اصلو بسمع انه في قتلي بشكل غريب بوش : وما تقلق راح أتوصي بإيران كويس وراح نعمل الوطن العربي كله سلطة قلت : طيب يالله سلام بوش : بس ما تنسانى قلت : له / هو فى حدا راح ينساك وانقطع حلمي برنه جوال حقيقة شرذمت ما تبقى من الحلم , فاعذروني فما هذه المكالمة إلا من عتمة أفكاري فأتمنى للرئيس عباس كل التوفيق وأرجو الا يكون هذا المؤتمر هو رحلة حب قصيرة الأمد . to 510 INFO root Tue, 28 Oct 2025 17:34:53 Predictions written to /rep/nhamad/ArabicNER/newTraining/Wojoodoutput/predictions.txt INFO root Tue, 28 Oct 2025 17:34:55 precision recall f1-score support CARDINAL 0.8024 0.7859 0.7941 341 CURR 0.0000 0.0000 0.0000 8 DATE 0.9118 0.9458 0.9285 3028 EVENT 0.6962 0.7291 0.7123 550 FAC 0.6018 0.6717 0.6348 198 GPE 0.8565 0.9028 0.8790 2254 LANGUAGE 0.8750 0.4773 0.6176 44 LAW 0.6577 0.8111 0.7264 90 LOC 0.6761 0.5455 0.6038 176 MONEY 0.5660 0.9091 0.6977 33 NORP 0.6780 0.6874 0.6827 1011 OCC 0.8362 0.8423 0.8393 1091 ORDINAL 0.8812 0.9348 0.9072 889 ORG 0.8546 0.8919 0.8728 3182 PERCENT 0.6786 0.5758 0.6230 33 PERS 0.9161 0.9440 0.9298 1411 PRODUCT 0.5000 0.1176 0.1905 17 QUANTITY 0.0000 0.0000 0.0000 9 TIME 0.6818 0.5357 0.6000 84 UNIT 0.0000 0.0000 0.0000 2 WEBSITE 0.3310 0.4052 0.3643 116 micro avg 0.8399 0.8683 0.8539 14567 macro avg 0.6191 0.6054 0.6002 14567 weighted avg 0.8390 0.8683 0.8527 14567 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:34:56 Epoch 1 | Timestep 5782 | Test Loss 0.047505 | F1 0.853883 INFO arabiner.trainers.BaseTrainer Tue, 28 Oct 2025 17:34:56 Saving checkpoint to /rep/nhamad/ArabicNER/newTraining/Wojoodoutput/checkpoints/checkpoint_1.pt INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:00 Epoch 2 | Batch 8/2891 | Timestep 5790 | LR 0.0000100000 | Loss 0.048088 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:02 Epoch 2 | Batch 18/2891 | Timestep 5800 | LR 0.0000100000 | Loss 0.006950 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:03 Epoch 2 | Batch 28/2891 | Timestep 5810 | LR 0.0000100000 | Loss 0.022254 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:05 Epoch 2 | Batch 38/2891 | Timestep 5820 | LR 0.0000100000 | Loss 0.050328 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:07 Epoch 2 | Batch 48/2891 | Timestep 5830 | LR 0.0000100000 | Loss 0.028450 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:09 Epoch 2 | Batch 58/2891 | Timestep 5840 | LR 0.0000100000 | Loss 0.008807 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:11 Epoch 2 | Batch 68/2891 | Timestep 5850 | LR 0.0000100000 | Loss 0.014881 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:13 Epoch 2 | Batch 78/2891 | Timestep 5860 | LR 0.0000100000 | Loss 0.007223 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:15 Epoch 2 | Batch 88/2891 | Timestep 5870 | LR 0.0000100000 | Loss 0.022168 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:17 Epoch 2 | Batch 98/2891 | Timestep 5880 | LR 0.0000100000 | Loss 0.086786 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:19 Epoch 2 | Batch 108/2891 | Timestep 5890 | LR 0.0000100000 | Loss 0.037669 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:20 Epoch 2 | Batch 118/2891 | Timestep 5900 | LR 0.0000100000 | Loss 0.007741 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:22 Epoch 2 | Batch 128/2891 | Timestep 5910 | LR 0.0000100000 | Loss 0.034363 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:24 Epoch 2 | Batch 138/2891 | Timestep 5920 | LR 0.0000100000 | Loss 0.011418 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:26 Epoch 2 | Batch 148/2891 | Timestep 5930 | LR 0.0000100000 | Loss 0.012388 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:28 Epoch 2 | Batch 158/2891 | Timestep 5940 | LR 0.0000100000 | Loss 0.015143 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:30 Epoch 2 | Batch 168/2891 | Timestep 5950 | LR 0.0000100000 | Loss 0.056868 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:32 Epoch 2 | Batch 178/2891 | Timestep 5960 | LR 0.0000100000 | Loss 0.017887 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:33 Epoch 2 | Batch 188/2891 | Timestep 5970 | LR 0.0000100000 | Loss 0.016190 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:35 Epoch 2 | Batch 198/2891 | Timestep 5980 | LR 0.0000100000 | Loss 0.033141 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:37 Epoch 2 | Batch 208/2891 | Timestep 5990 | LR 0.0000100000 | Loss 0.018267 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:38 Epoch 2 | Batch 218/2891 | Timestep 6000 | LR 0.0000100000 | Loss 0.018090 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:41 Epoch 2 | Batch 228/2891 | Timestep 6010 | LR 0.0000100000 | Loss 0.002846 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:42 Epoch 2 | Batch 238/2891 | Timestep 6020 | LR 0.0000100000 | Loss 0.018489 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:44 Epoch 2 | Batch 248/2891 | Timestep 6030 | LR 0.0000100000 | Loss 0.030644 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:46 Epoch 2 | Batch 258/2891 | Timestep 6040 | LR 0.0000100000 | Loss 0.010264 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:48 Epoch 2 | Batch 268/2891 | Timestep 6050 | LR 0.0000100000 | Loss 0.005765 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:50 Epoch 2 | Batch 278/2891 | Timestep 6060 | LR 0.0000100000 | Loss 0.020708 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:52 Epoch 2 | Batch 288/2891 | Timestep 6070 | LR 0.0000100000 | Loss 0.028476 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:54 Epoch 2 | Batch 298/2891 | Timestep 6080 | LR 0.0000100000 | Loss 0.039478 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:56 Epoch 2 | Batch 308/2891 | Timestep 6090 | LR 0.0000100000 | Loss 0.008020 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:58 Epoch 2 | Batch 318/2891 | Timestep 6100 | LR 0.0000100000 | Loss 0.016489 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:35:59 Epoch 2 | Batch 328/2891 | Timestep 6110 | LR 0.0000100000 | Loss 0.048363 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:01 Epoch 2 | Batch 338/2891 | Timestep 6120 | LR 0.0000100000 | Loss 0.018243 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:03 Epoch 2 | Batch 348/2891 | Timestep 6130 | LR 0.0000100000 | Loss 0.032577 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:05 Epoch 2 | Batch 358/2891 | Timestep 6140 | LR 0.0000100000 | Loss 0.065302 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:07 Epoch 2 | Batch 368/2891 | Timestep 6150 | LR 0.0000100000 | Loss 0.008182 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:10 Epoch 2 | Batch 378/2891 | Timestep 6160 | LR 0.0000100000 | Loss 0.058147 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:12 Epoch 2 | Batch 388/2891 | Timestep 6170 | LR 0.0000100000 | Loss 0.016116 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:14 Epoch 2 | Batch 398/2891 | Timestep 6180 | LR 0.0000100000 | Loss 0.034751 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:16 Epoch 2 | Batch 408/2891 | Timestep 6190 | LR 0.0000100000 | Loss 0.014028 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:18 Epoch 2 | Batch 418/2891 | Timestep 6200 | LR 0.0000100000 | Loss 0.018791 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:19 Epoch 2 | Batch 428/2891 | Timestep 6210 | LR 0.0000100000 | Loss 0.034720 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:21 Epoch 2 | Batch 438/2891 | Timestep 6220 | LR 0.0000100000 | Loss 0.028190 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:23 Epoch 2 | Batch 448/2891 | Timestep 6230 | LR 0.0000100000 | Loss 0.017424 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:26 Epoch 2 | Batch 458/2891 | Timestep 6240 | LR 0.0000100000 | Loss 0.013014 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:28 Epoch 2 | Batch 468/2891 | Timestep 6250 | LR 0.0000100000 | Loss 0.016358 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:30 Epoch 2 | Batch 478/2891 | Timestep 6260 | LR 0.0000100000 | Loss 0.019723 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:32 Epoch 2 | Batch 488/2891 | Timestep 6270 | LR 0.0000100000 | Loss 0.073393 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:34 Epoch 2 | Batch 498/2891 | Timestep 6280 | LR 0.0000100000 | Loss 0.023867 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:36 Epoch 2 | Batch 508/2891 | Timestep 6290 | LR 0.0000100000 | Loss 0.014096 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:38 Epoch 2 | Batch 518/2891 | Timestep 6300 | LR 0.0000100000 | Loss 0.034257 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:40 Epoch 2 | Batch 528/2891 | Timestep 6310 | LR 0.0000100000 | Loss 0.020207 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:42 Epoch 2 | Batch 538/2891 | Timestep 6320 | LR 0.0000100000 | Loss 0.005830 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:44 Epoch 2 | Batch 548/2891 | Timestep 6330 | LR 0.0000100000 | Loss 0.092465 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:46 Epoch 2 | Batch 558/2891 | Timestep 6340 | LR 0.0000100000 | Loss 0.035860 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:47 Epoch 2 | Batch 568/2891 | Timestep 6350 | LR 0.0000100000 | Loss 0.019839 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:49 Epoch 2 | Batch 578/2891 | Timestep 6360 | LR 0.0000100000 | Loss 0.011941 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:51 Epoch 2 | Batch 588/2891 | Timestep 6370 | LR 0.0000100000 | Loss 0.019998 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:54 Epoch 2 | Batch 598/2891 | Timestep 6380 | LR 0.0000100000 | Loss 0.017576 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:55 Epoch 2 | Batch 608/2891 | Timestep 6390 | LR 0.0000100000 | Loss 0.039726 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:36:57 Epoch 2 | Batch 618/2891 | Timestep 6400 | LR 0.0000100000 | Loss 0.053353 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:00 Epoch 2 | Batch 628/2891 | Timestep 6410 | LR 0.0000100000 | Loss 0.035443 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:02 Epoch 2 | Batch 638/2891 | Timestep 6420 | LR 0.0000100000 | Loss 0.006121 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:04 Epoch 2 | Batch 648/2891 | Timestep 6430 | LR 0.0000100000 | Loss 0.084463 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:07 Epoch 2 | Batch 658/2891 | Timestep 6440 | LR 0.0000100000 | Loss 0.016899 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:09 Epoch 2 | Batch 668/2891 | Timestep 6450 | LR 0.0000100000 | Loss 0.041777 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:11 Epoch 2 | Batch 678/2891 | Timestep 6460 | LR 0.0000100000 | Loss 0.004995 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:13 Epoch 2 | Batch 688/2891 | Timestep 6470 | LR 0.0000100000 | Loss 0.009880 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:15 Epoch 2 | Batch 698/2891 | Timestep 6480 | LR 0.0000100000 | Loss 0.066747 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:18 Epoch 2 | Batch 708/2891 | Timestep 6490 | LR 0.0000100000 | Loss 0.066868 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:20 Epoch 2 | Batch 718/2891 | Timestep 6500 | LR 0.0000100000 | Loss 0.039011 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:22 Epoch 2 | Batch 728/2891 | Timestep 6510 | LR 0.0000100000 | Loss 0.017574 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:24 Epoch 2 | Batch 738/2891 | Timestep 6520 | LR 0.0000100000 | Loss 0.013184 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:26 Epoch 2 | Batch 748/2891 | Timestep 6530 | LR 0.0000100000 | Loss 0.021948 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:28 Epoch 2 | Batch 758/2891 | Timestep 6540 | LR 0.0000100000 | Loss 0.032576 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:30 Epoch 2 | Batch 768/2891 | Timestep 6550 | LR 0.0000100000 | Loss 0.030687 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:32 Epoch 2 | Batch 778/2891 | Timestep 6560 | LR 0.0000100000 | Loss 0.012381 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:34 Epoch 2 | Batch 788/2891 | Timestep 6570 | LR 0.0000100000 | Loss 0.054070 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:36 Epoch 2 | Batch 798/2891 | Timestep 6580 | LR 0.0000100000 | Loss 0.038493 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:38 Epoch 2 | Batch 808/2891 | Timestep 6590 | LR 0.0000100000 | Loss 0.004817 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:40 Epoch 2 | Batch 818/2891 | Timestep 6600 | LR 0.0000100000 | Loss 0.043920 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:42 Epoch 2 | Batch 828/2891 | Timestep 6610 | LR 0.0000100000 | Loss 0.015963 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:44 Epoch 2 | Batch 838/2891 | Timestep 6620 | LR 0.0000100000 | Loss 0.014749 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:46 Epoch 2 | Batch 848/2891 | Timestep 6630 | LR 0.0000100000 | Loss 0.021520 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:48 Epoch 2 | Batch 858/2891 | Timestep 6640 | LR 0.0000100000 | Loss 0.032516 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:50 Epoch 2 | Batch 868/2891 | Timestep 6650 | LR 0.0000100000 | Loss 0.005425 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:52 Epoch 2 | Batch 878/2891 | Timestep 6660 | LR 0.0000100000 | Loss 0.008893 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:54 Epoch 2 | Batch 888/2891 | Timestep 6670 | LR 0.0000100000 | Loss 0.051846 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:57 Epoch 2 | Batch 898/2891 | Timestep 6680 | LR 0.0000100000 | Loss 0.014469 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:37:58 Epoch 2 | Batch 908/2891 | Timestep 6690 | LR 0.0000100000 | Loss 0.016819 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:00 Epoch 2 | Batch 918/2891 | Timestep 6700 | LR 0.0000100000 | Loss 0.012214 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:02 Epoch 2 | Batch 928/2891 | Timestep 6710 | LR 0.0000100000 | Loss 0.005790 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:04 Epoch 2 | Batch 938/2891 | Timestep 6720 | LR 0.0000100000 | Loss 0.008275 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:06 Epoch 2 | Batch 948/2891 | Timestep 6730 | LR 0.0000100000 | Loss 0.005491 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:08 Epoch 2 | Batch 958/2891 | Timestep 6740 | LR 0.0000100000 | Loss 0.009323 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:10 Epoch 2 | Batch 968/2891 | Timestep 6750 | LR 0.0000100000 | Loss 0.018196 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:12 Epoch 2 | Batch 978/2891 | Timestep 6760 | LR 0.0000100000 | Loss 0.032202 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:14 Epoch 2 | Batch 988/2891 | Timestep 6770 | LR 0.0000100000 | Loss 0.061784 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:16 Epoch 2 | Batch 998/2891 | Timestep 6780 | LR 0.0000100000 | Loss 0.023755 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:18 Epoch 2 | Batch 1008/2891 | Timestep 6790 | LR 0.0000100000 | Loss 0.004938 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:20 Epoch 2 | Batch 1018/2891 | Timestep 6800 | LR 0.0000100000 | Loss 0.016470 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:22 Epoch 2 | Batch 1028/2891 | Timestep 6810 | LR 0.0000100000 | Loss 0.065710 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:24 Epoch 2 | Batch 1038/2891 | Timestep 6820 | LR 0.0000100000 | Loss 0.024444 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:26 Epoch 2 | Batch 1048/2891 | Timestep 6830 | LR 0.0000100000 | Loss 0.077360 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:28 Epoch 2 | Batch 1058/2891 | Timestep 6840 | LR 0.0000100000 | Loss 0.054672 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:30 Epoch 2 | Batch 1068/2891 | Timestep 6850 | LR 0.0000100000 | Loss 0.016972 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:32 Epoch 2 | Batch 1078/2891 | Timestep 6860 | LR 0.0000100000 | Loss 0.020446 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:34 Epoch 2 | Batch 1088/2891 | Timestep 6870 | LR 0.0000100000 | Loss 0.054053 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:36 Epoch 2 | Batch 1098/2891 | Timestep 6880 | LR 0.0000100000 | Loss 0.056397 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:38 Epoch 2 | Batch 1108/2891 | Timestep 6890 | LR 0.0000100000 | Loss 0.036794 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:42 Epoch 2 | Batch 1118/2891 | Timestep 6900 | LR 0.0000100000 | Loss 0.010749 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:43 Epoch 2 | Batch 1128/2891 | Timestep 6910 | LR 0.0000100000 | Loss 0.016862 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:45 Epoch 2 | Batch 1138/2891 | Timestep 6920 | LR 0.0000100000 | Loss 0.046023 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:47 Epoch 2 | Batch 1148/2891 | Timestep 6930 | LR 0.0000100000 | Loss 0.042665 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:49 Epoch 2 | Batch 1158/2891 | Timestep 6940 | LR 0.0000100000 | Loss 0.013645 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:51 Epoch 2 | Batch 1168/2891 | Timestep 6950 | LR 0.0000100000 | Loss 0.015807 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:53 Epoch 2 | Batch 1178/2891 | Timestep 6960 | LR 0.0000100000 | Loss 0.022498 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:55 Epoch 2 | Batch 1188/2891 | Timestep 6970 | LR 0.0000100000 | Loss 0.030871 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:57 Epoch 2 | Batch 1198/2891 | Timestep 6980 | LR 0.0000100000 | Loss 0.017977 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:38:58 Epoch 2 | Batch 1208/2891 | Timestep 6990 | LR 0.0000100000 | Loss 0.009595 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:01 Epoch 2 | Batch 1218/2891 | Timestep 7000 | LR 0.0000100000 | Loss 0.044902 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:03 Epoch 2 | Batch 1228/2891 | Timestep 7010 | LR 0.0000100000 | Loss 0.016421 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:05 Epoch 2 | Batch 1238/2891 | Timestep 7020 | LR 0.0000100000 | Loss 0.049591 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:06 Epoch 2 | Batch 1248/2891 | Timestep 7030 | LR 0.0000100000 | Loss 0.141604 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:08 Epoch 2 | Batch 1258/2891 | Timestep 7040 | LR 0.0000100000 | Loss 0.017247 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:10 Epoch 2 | Batch 1268/2891 | Timestep 7050 | LR 0.0000100000 | Loss 0.122338 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:12 Epoch 2 | Batch 1278/2891 | Timestep 7060 | LR 0.0000100000 | Loss 0.021187 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:14 Epoch 2 | Batch 1288/2891 | Timestep 7070 | LR 0.0000100000 | Loss 0.024176 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:16 Epoch 2 | Batch 1298/2891 | Timestep 7080 | LR 0.0000100000 | Loss 0.029235 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:18 Epoch 2 | Batch 1308/2891 | Timestep 7090 | LR 0.0000100000 | Loss 0.035093 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:20 Epoch 2 | Batch 1318/2891 | Timestep 7100 | LR 0.0000100000 | Loss 0.049944 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:21 Epoch 2 | Batch 1328/2891 | Timestep 7110 | LR 0.0000100000 | Loss 0.004641 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:24 Epoch 2 | Batch 1338/2891 | Timestep 7120 | LR 0.0000100000 | Loss 0.127200 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:26 Epoch 2 | Batch 1348/2891 | Timestep 7130 | LR 0.0000100000 | Loss 0.030437 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:28 Epoch 2 | Batch 1358/2891 | Timestep 7140 | LR 0.0000100000 | Loss 0.022212 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:30 Epoch 2 | Batch 1368/2891 | Timestep 7150 | LR 0.0000100000 | Loss 0.059077 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:32 Epoch 2 | Batch 1378/2891 | Timestep 7160 | LR 0.0000100000 | Loss 0.011887 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:34 Epoch 2 | Batch 1388/2891 | Timestep 7170 | LR 0.0000100000 | Loss 0.029827 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:37 Epoch 2 | Batch 1398/2891 | Timestep 7180 | LR 0.0000100000 | Loss 0.033003 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:39 Epoch 2 | Batch 1408/2891 | Timestep 7190 | LR 0.0000100000 | Loss 0.018506 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:41 Epoch 2 | Batch 1418/2891 | Timestep 7200 | LR 0.0000100000 | Loss 0.016129 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:43 Epoch 2 | Batch 1428/2891 | Timestep 7210 | LR 0.0000100000 | Loss 0.006878 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:45 Epoch 2 | Batch 1438/2891 | Timestep 7220 | LR 0.0000100000 | Loss 0.009527 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:47 Epoch 2 | Batch 1448/2891 | Timestep 7230 | LR 0.0000100000 | Loss 0.015030 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:48 Epoch 2 | Batch 1458/2891 | Timestep 7240 | LR 0.0000100000 | Loss 0.044605 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:50 Epoch 2 | Batch 1468/2891 | Timestep 7250 | LR 0.0000100000 | Loss 0.043342 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:52 Epoch 2 | Batch 1478/2891 | Timestep 7260 | LR 0.0000100000 | Loss 0.016025 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:54 Epoch 2 | Batch 1488/2891 | Timestep 7270 | LR 0.0000100000 | Loss 0.013325 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:56 Epoch 2 | Batch 1498/2891 | Timestep 7280 | LR 0.0000100000 | Loss 0.014494 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:39:58 Epoch 2 | Batch 1508/2891 | Timestep 7290 | LR 0.0000100000 | Loss 0.015915 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:00 Epoch 2 | Batch 1518/2891 | Timestep 7300 | LR 0.0000100000 | Loss 0.073262 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:02 Epoch 2 | Batch 1528/2891 | Timestep 7310 | LR 0.0000100000 | Loss 0.005605 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:04 Epoch 2 | Batch 1538/2891 | Timestep 7320 | LR 0.0000100000 | Loss 0.040280 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:06 Epoch 2 | Batch 1548/2891 | Timestep 7330 | LR 0.0000100000 | Loss 0.026030 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:08 Epoch 2 | Batch 1558/2891 | Timestep 7340 | LR 0.0000100000 | Loss 0.029075 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:10 Epoch 2 | Batch 1568/2891 | Timestep 7350 | LR 0.0000100000 | Loss 0.075259 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:13 Epoch 2 | Batch 1578/2891 | Timestep 7360 | LR 0.0000100000 | Loss 0.011185 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:15 Epoch 2 | Batch 1588/2891 | Timestep 7370 | LR 0.0000100000 | Loss 0.039112 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:17 Epoch 2 | Batch 1598/2891 | Timestep 7380 | LR 0.0000100000 | Loss 0.082638 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:20 Epoch 2 | Batch 1608/2891 | Timestep 7390 | LR 0.0000100000 | Loss 0.008174 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:22 Epoch 2 | Batch 1618/2891 | Timestep 7400 | LR 0.0000100000 | Loss 0.074480 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:23 Epoch 2 | Batch 1628/2891 | Timestep 7410 | LR 0.0000100000 | Loss 0.006383 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:25 Epoch 2 | Batch 1638/2891 | Timestep 7420 | LR 0.0000100000 | Loss 0.049102 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:27 Epoch 2 | Batch 1648/2891 | Timestep 7430 | LR 0.0000100000 | Loss 0.020485 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:30 Epoch 2 | Batch 1658/2891 | Timestep 7440 | LR 0.0000100000 | Loss 0.004422 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:32 Epoch 2 | Batch 1668/2891 | Timestep 7450 | LR 0.0000100000 | Loss 0.032074 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:34 Epoch 2 | Batch 1678/2891 | Timestep 7460 | LR 0.0000100000 | Loss 0.007078 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:36 Epoch 2 | Batch 1688/2891 | Timestep 7470 | LR 0.0000100000 | Loss 0.030915 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:38 Epoch 2 | Batch 1698/2891 | Timestep 7480 | LR 0.0000100000 | Loss 0.022495 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:40 Epoch 2 | Batch 1708/2891 | Timestep 7490 | LR 0.0000100000 | Loss 0.015558 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:42 Epoch 2 | Batch 1718/2891 | Timestep 7500 | LR 0.0000100000 | Loss 0.054662 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:44 Epoch 2 | Batch 1728/2891 | Timestep 7510 | LR 0.0000100000 | Loss 0.025452 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:46 Epoch 2 | Batch 1738/2891 | Timestep 7520 | LR 0.0000100000 | Loss 0.025429 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:48 Epoch 2 | Batch 1748/2891 | Timestep 7530 | LR 0.0000100000 | Loss 0.025788 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:51 Epoch 2 | Batch 1758/2891 | Timestep 7540 | LR 0.0000100000 | Loss 0.103225 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:53 Epoch 2 | Batch 1768/2891 | Timestep 7550 | LR 0.0000100000 | Loss 0.022468 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:55 Epoch 2 | Batch 1778/2891 | Timestep 7560 | LR 0.0000100000 | Loss 0.003940 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:40:57 Epoch 2 | Batch 1788/2891 | Timestep 7570 | LR 0.0000100000 | Loss 0.022167 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:00 Epoch 2 | Batch 1798/2891 | Timestep 7580 | LR 0.0000100000 | Loss 0.002683 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:02 Epoch 2 | Batch 1808/2891 | Timestep 7590 | LR 0.0000100000 | Loss 0.019734 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:04 Epoch 2 | Batch 1818/2891 | Timestep 7600 | LR 0.0000100000 | Loss 0.005187 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:06 Epoch 2 | Batch 1828/2891 | Timestep 7610 | LR 0.0000100000 | Loss 0.017546 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:08 Epoch 2 | Batch 1838/2891 | Timestep 7620 | LR 0.0000100000 | Loss 0.166631 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:10 Epoch 2 | Batch 1848/2891 | Timestep 7630 | LR 0.0000100000 | Loss 0.066788 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:12 Epoch 2 | Batch 1858/2891 | Timestep 7640 | LR 0.0000100000 | Loss 0.014851 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:15 Epoch 2 | Batch 1868/2891 | Timestep 7650 | LR 0.0000100000 | Loss 0.010715 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:16 Epoch 2 | Batch 1878/2891 | Timestep 7660 | LR 0.0000100000 | Loss 0.087703 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:19 Epoch 2 | Batch 1888/2891 | Timestep 7670 | LR 0.0000100000 | Loss 0.010180 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:21 Epoch 2 | Batch 1898/2891 | Timestep 7680 | LR 0.0000100000 | Loss 0.020634 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:23 Epoch 2 | Batch 1908/2891 | Timestep 7690 | LR 0.0000100000 | Loss 0.017055 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:25 Epoch 2 | Batch 1918/2891 | Timestep 7700 | LR 0.0000100000 | Loss 0.015270 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:27 Epoch 2 | Batch 1928/2891 | Timestep 7710 | LR 0.0000100000 | Loss 0.016558 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:29 Epoch 2 | Batch 1938/2891 | Timestep 7720 | LR 0.0000100000 | Loss 0.014654 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:31 Epoch 2 | Batch 1948/2891 | Timestep 7730 | LR 0.0000100000 | Loss 0.017939 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:34 Epoch 2 | Batch 1958/2891 | Timestep 7740 | LR 0.0000100000 | Loss 0.036356 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:36 Epoch 2 | Batch 1968/2891 | Timestep 7750 | LR 0.0000100000 | Loss 0.071789 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:38 Epoch 2 | Batch 1978/2891 | Timestep 7760 | LR 0.0000100000 | Loss 0.011519 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:41 Epoch 2 | Batch 1988/2891 | Timestep 7770 | LR 0.0000100000 | Loss 0.041876 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:43 Epoch 2 | Batch 1998/2891 | Timestep 7780 | LR 0.0000100000 | Loss 0.041471 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:46 Epoch 2 | Batch 2008/2891 | Timestep 7790 | LR 0.0000100000 | Loss 0.047958 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:48 Epoch 2 | Batch 2018/2891 | Timestep 7800 | LR 0.0000100000 | Loss 0.003214 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:50 Epoch 2 | Batch 2028/2891 | Timestep 7810 | LR 0.0000100000 | Loss 0.007275 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:52 Epoch 2 | Batch 2038/2891 | Timestep 7820 | LR 0.0000100000 | Loss 0.006126 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:55 Epoch 2 | Batch 2048/2891 | Timestep 7830 | LR 0.0000100000 | Loss 0.037846 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:57 Epoch 2 | Batch 2058/2891 | Timestep 7840 | LR 0.0000100000 | Loss 0.019263 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:41:59 Epoch 2 | Batch 2068/2891 | Timestep 7850 | LR 0.0000100000 | Loss 0.049089 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:01 Epoch 2 | Batch 2078/2891 | Timestep 7860 | LR 0.0000100000 | Loss 0.020274 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:03 Epoch 2 | Batch 2088/2891 | Timestep 7870 | LR 0.0000100000 | Loss 0.052926 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:05 Epoch 2 | Batch 2098/2891 | Timestep 7880 | LR 0.0000100000 | Loss 0.050515 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:08 Epoch 2 | Batch 2108/2891 | Timestep 7890 | LR 0.0000100000 | Loss 0.004250 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:10 Epoch 2 | Batch 2118/2891 | Timestep 7900 | LR 0.0000100000 | Loss 0.024772 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:12 Epoch 2 | Batch 2128/2891 | Timestep 7910 | LR 0.0000100000 | Loss 0.024893 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:14 Epoch 2 | Batch 2138/2891 | Timestep 7920 | LR 0.0000100000 | Loss 0.008625 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:16 Epoch 2 | Batch 2148/2891 | Timestep 7930 | LR 0.0000100000 | Loss 0.027376 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:18 Epoch 2 | Batch 2158/2891 | Timestep 7940 | LR 0.0000100000 | Loss 0.011341 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:20 Epoch 2 | Batch 2168/2891 | Timestep 7950 | LR 0.0000100000 | Loss 0.040687 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:22 Epoch 2 | Batch 2178/2891 | Timestep 7960 | LR 0.0000100000 | Loss 0.013095 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:25 Epoch 2 | Batch 2188/2891 | Timestep 7970 | LR 0.0000100000 | Loss 0.032927 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:27 Epoch 2 | Batch 2198/2891 | Timestep 7980 | LR 0.0000100000 | Loss 0.033050 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:29 Epoch 2 | Batch 2208/2891 | Timestep 7990 | LR 0.0000100000 | Loss 0.027004 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:30 Epoch 2 | Batch 2218/2891 | Timestep 8000 | LR 0.0000100000 | Loss 0.211860 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:32 Epoch 2 | Batch 2228/2891 | Timestep 8010 | LR 0.0000100000 | Loss 0.008141 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:34 Epoch 2 | Batch 2238/2891 | Timestep 8020 | LR 0.0000100000 | Loss 0.047403 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:37 Epoch 2 | Batch 2248/2891 | Timestep 8030 | LR 0.0000100000 | Loss 0.007042 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:39 Epoch 2 | Batch 2258/2891 | Timestep 8040 | LR 0.0000100000 | Loss 0.062473 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:41 Epoch 2 | Batch 2268/2891 | Timestep 8050 | LR 0.0000100000 | Loss 0.010755 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:43 Epoch 2 | Batch 2278/2891 | Timestep 8060 | LR 0.0000100000 | Loss 0.024571 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:45 Epoch 2 | Batch 2288/2891 | Timestep 8070 | LR 0.0000100000 | Loss 0.011547 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:47 Epoch 2 | Batch 2298/2891 | Timestep 8080 | LR 0.0000100000 | Loss 0.007130 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:50 Epoch 2 | Batch 2308/2891 | Timestep 8090 | LR 0.0000100000 | Loss 0.011853 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:52 Epoch 2 | Batch 2318/2891 | Timestep 8100 | LR 0.0000100000 | Loss 0.017496 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:54 Epoch 2 | Batch 2328/2891 | Timestep 8110 | LR 0.0000100000 | Loss 0.059845 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:56 Epoch 2 | Batch 2338/2891 | Timestep 8120 | LR 0.0000100000 | Loss 0.015156 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:42:58 Epoch 2 | Batch 2348/2891 | Timestep 8130 | LR 0.0000100000 | Loss 0.044496 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:01 Epoch 2 | Batch 2358/2891 | Timestep 8140 | LR 0.0000100000 | Loss 0.018273 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:03 Epoch 2 | Batch 2368/2891 | Timestep 8150 | LR 0.0000100000 | Loss 0.017489 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:04 Epoch 2 | Batch 2378/2891 | Timestep 8160 | LR 0.0000100000 | Loss 0.009794 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:06 Epoch 2 | Batch 2388/2891 | Timestep 8170 | LR 0.0000100000 | Loss 0.022500 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:08 Epoch 2 | Batch 2398/2891 | Timestep 8180 | LR 0.0000100000 | Loss 0.037426 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:11 Epoch 2 | Batch 2408/2891 | Timestep 8190 | LR 0.0000100000 | Loss 0.019925 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:12 Epoch 2 | Batch 2418/2891 | Timestep 8200 | LR 0.0000100000 | Loss 0.031950 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:14 Epoch 2 | Batch 2428/2891 | Timestep 8210 | LR 0.0000100000 | Loss 0.020417 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:16 Epoch 2 | Batch 2438/2891 | Timestep 8220 | LR 0.0000100000 | Loss 0.039906 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:18 Epoch 2 | Batch 2448/2891 | Timestep 8230 | LR 0.0000100000 | Loss 0.022898 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:20 Epoch 2 | Batch 2458/2891 | Timestep 8240 | LR 0.0000100000 | Loss 0.094176 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:22 Epoch 2 | Batch 2468/2891 | Timestep 8250 | LR 0.0000100000 | Loss 0.007678 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:24 Epoch 2 | Batch 2478/2891 | Timestep 8260 | LR 0.0000100000 | Loss 0.023365 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:26 Epoch 2 | Batch 2488/2891 | Timestep 8270 | LR 0.0000100000 | Loss 0.005171 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:28 Epoch 2 | Batch 2498/2891 | Timestep 8280 | LR 0.0000100000 | Loss 0.013264 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:30 Epoch 2 | Batch 2508/2891 | Timestep 8290 | LR 0.0000100000 | Loss 0.023628 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:33 Epoch 2 | Batch 2518/2891 | Timestep 8300 | LR 0.0000100000 | Loss 0.003105 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:35 Epoch 2 | Batch 2528/2891 | Timestep 8310 | LR 0.0000100000 | Loss 0.003037 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:37 Epoch 2 | Batch 2538/2891 | Timestep 8320 | LR 0.0000100000 | Loss 0.067490 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:39 Epoch 2 | Batch 2548/2891 | Timestep 8330 | LR 0.0000100000 | Loss 0.040155 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:41 Epoch 2 | Batch 2558/2891 | Timestep 8340 | LR 0.0000100000 | Loss 0.020412 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:44 Epoch 2 | Batch 2568/2891 | Timestep 8350 | LR 0.0000100000 | Loss 0.053784 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:46 Epoch 2 | Batch 2578/2891 | Timestep 8360 | LR 0.0000100000 | Loss 0.017565 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:48 Epoch 2 | Batch 2588/2891 | Timestep 8370 | LR 0.0000100000 | Loss 0.003436 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:50 Epoch 2 | Batch 2598/2891 | Timestep 8380 | LR 0.0000100000 | Loss 0.001937 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:53 Epoch 2 | Batch 2608/2891 | Timestep 8390 | LR 0.0000100000 | Loss 0.006221 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:55 Epoch 2 | Batch 2618/2891 | Timestep 8400 | LR 0.0000100000 | Loss 0.027845 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:57 Epoch 2 | Batch 2628/2891 | Timestep 8410 | LR 0.0000100000 | Loss 0.054737 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:43:59 Epoch 2 | Batch 2638/2891 | Timestep 8420 | LR 0.0000100000 | Loss 0.006245 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:01 Epoch 2 | Batch 2648/2891 | Timestep 8430 | LR 0.0000100000 | Loss 0.013190 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:03 Epoch 2 | Batch 2658/2891 | Timestep 8440 | LR 0.0000100000 | Loss 0.021079 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:05 Epoch 2 | Batch 2668/2891 | Timestep 8450 | LR 0.0000100000 | Loss 0.068425 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:07 Epoch 2 | Batch 2678/2891 | Timestep 8460 | LR 0.0000100000 | Loss 0.013687 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:09 Epoch 2 | Batch 2688/2891 | Timestep 8470 | LR 0.0000100000 | Loss 0.003364 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:11 Epoch 2 | Batch 2698/2891 | Timestep 8480 | LR 0.0000100000 | Loss 0.010557 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:13 Epoch 2 | Batch 2708/2891 | Timestep 8490 | LR 0.0000100000 | Loss 0.014831 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:16 Epoch 2 | Batch 2718/2891 | Timestep 8500 | LR 0.0000100000 | Loss 0.019195 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:18 Epoch 2 | Batch 2728/2891 | Timestep 8510 | LR 0.0000100000 | Loss 0.005239 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:20 Epoch 2 | Batch 2738/2891 | Timestep 8520 | LR 0.0000100000 | Loss 0.050408 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:22 Epoch 2 | Batch 2748/2891 | Timestep 8530 | LR 0.0000100000 | Loss 0.058099 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:24 Epoch 2 | Batch 2758/2891 | Timestep 8540 | LR 0.0000100000 | Loss 0.026954 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:26 Epoch 2 | Batch 2768/2891 | Timestep 8550 | LR 0.0000100000 | Loss 0.018303 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:28 Epoch 2 | Batch 2778/2891 | Timestep 8560 | LR 0.0000100000 | Loss 0.013458 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:30 Epoch 2 | Batch 2788/2891 | Timestep 8570 | LR 0.0000100000 | Loss 0.015293 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:32 Epoch 2 | Batch 2798/2891 | Timestep 8580 | LR 0.0000100000 | Loss 0.249308 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:35 Epoch 2 | Batch 2808/2891 | Timestep 8590 | LR 0.0000100000 | Loss 0.057569 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:36 Epoch 2 | Batch 2818/2891 | Timestep 8600 | LR 0.0000100000 | Loss 0.048709 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:38 Epoch 2 | Batch 2828/2891 | Timestep 8610 | LR 0.0000100000 | Loss 0.024491 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:40 Epoch 2 | Batch 2838/2891 | Timestep 8620 | LR 0.0000100000 | Loss 0.069343 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:42 Epoch 2 | Batch 2848/2891 | Timestep 8630 | LR 0.0000100000 | Loss 0.004329 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:44 Epoch 2 | Batch 2858/2891 | Timestep 8640 | LR 0.0000100000 | Loss 0.021406 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:46 Epoch 2 | Batch 2868/2891 | Timestep 8650 | LR 0.0000100000 | Loss 0.008416 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:48 Epoch 2 | Batch 2878/2891 | Timestep 8660 | LR 0.0000100000 | Loss 0.018141 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:51 Epoch 2 | Batch 2888/2891 | Timestep 8670 | LR 0.0000100000 | Loss 0.027643 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:44:52 ** Evaluating on validation dataset ** INFO root Tue, 28 Oct 2025 17:45:13 precision recall f1-score support CARDINAL 0.8649 0.7529 0.8050 170 CURR 0.0000 0.0000 0.0000 2 DATE 0.9029 0.9284 0.9155 1592 EVENT 0.7026 0.6702 0.6860 282 FAC 0.6161 0.7500 0.6765 92 GPE 0.9025 0.8716 0.8867 1051 LANGUAGE 0.6471 0.6875 0.6667 16 LAW 0.5821 0.8298 0.6842 47 LOC 0.7037 0.7703 0.7355 74 MONEY 0.5938 0.8636 0.7037 22 NORP 0.6377 0.7520 0.6902 508 OCC 0.8372 0.8405 0.8388 514 ORDINAL 0.9133 0.9236 0.9184 445 ORG 0.8736 0.9202 0.8963 1578 PERCENT 0.6667 1.0000 0.8000 12 PERS 0.9259 0.9576 0.9415 613 PRODUCT 0.0000 0.0000 0.0000 8 QUANTITY 0.0000 0.0000 0.0000 3 TIME 0.5526 0.6364 0.5915 33 UNIT 0.0000 0.0000 0.0000 1 WEBSITE 0.5263 0.5000 0.5128 80 micro avg 0.8459 0.8740 0.8597 7143 macro avg 0.5928 0.6502 0.6166 7143 weighted avg 0.8492 0.8740 0.8605 7143 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:45:14 Epoch 2 | Timestep 8673 | Train Loss 0.030361 | Val Loss 0.041096 | F1 0.859740 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:45:14 ** Validation improved, evaluating test data ** INFO arabiner.data.transforms Tue, 28 Oct 2025 17:45:38 Truncating the sequence لكن صوت جوالي مزعج ما دفعني للنهوض وبعصبية وارتباك من هذا الاتصال وخصوصا أن الساعة الواحدة والنصف يعنى عز دين النوم فأمسكت الجوال وقمت بالضغط على زر الرد . فقلت الو مين معي فقال معك الرئيس فقلت رئيس مين بالضبط فقال جورج بوش رئيس الولايات المتحدة الأمريكية فقلت اهلا أهلا يا سيادة الرئيس , بس أنا على حد علمي انه الرئيس جورج بوش بتكلم اللغة الانجليزية فكيف أنت بتحكي عربي بوش انأ بتكلم اللغة العربية جيدا حتى أنى ممكن أحكى باللهجة الغزواية . فقلت عليك اه خير شو مالك متصل فيا وكيف عرفت رقمي بوش ما في شي قلت أسال كيف أهل غزة بجو الحصار أما كيف عرفت رقمك فقلت لمديرة مكتبي أعطيني اتصال مباشر مع اى شخص من غزة فقلت غزة ااه بدك تعرف أخبار غزة صامدين صامدين ومش راح نتخلى عن الثوابت الفلسطينية لو شو ما تعملوا بوش يعنى بدك تقنعني انه ما فى نتيجة من الحصار فقلت لا ما في نتيجة لأنه إحنا بنخاف على بعض وبنحب بعض حتى رغيف الخبز مرات بنتقاسموا بوش اه واضح حتى التعذيب بتتقاسموه بالضفة وغزة فقلت يا عمى هيك عارف كل شى , شو بدك من الأخر لأني بدى أنام بوش شو رأيك تحضر مؤتمر انابولس فقلت احضر شو , شمعنا أنا يعني بوش هيك اجت فى بالى الفكرة فقلت لا لا مش فاضى , ميش مستعد اضيع وقتي في شي عارف نهايته بوش طيب تابعنا على التلفزيون منه بتعرف شو صار قلت صدقني وقتي فل , بكون بقرا بكتاب الجنة لا تبعد كثيرا بوش غريبة أول إنسان عربي ادعوه على المؤتمر ويكون وقته مشغول قلت شكلوا الكل مضيوف بالبيت الأبيض بوش اه مليان مش عارف أتحرك براحتي مخنوق فقلت اذا انت مخنوق شو نقول احنا بوش عارف بحاول معهم لكن لا حياة لمن تنادى من الطرفين وحابب اخذ رايك بالموضوع هل فى امل ? فقلت : رأي انك تستقيل قبل مؤتمر انابولس واكسب بياض الوجه وسيبك من الشرق الأوسط صدقني ما بتستاهلوا شي بوش : لا وحياتك راح يستقيل اولمرت وعباس اذا صار شي فقلت : اسمحي بدى أنام نعسان , بس دير بالك على العراق وأفغانستان اصلو بسمع انه في قتلي بشكل غريب بوش : وما تقلق راح أتوصي بإيران كويس وراح نعمل الوطن العربي كله سلطة قلت : طيب يالله سلام بوش : بس ما تنسانى قلت : له / هو فى حدا راح ينساك وانقطع حلمي برنه جوال حقيقة شرذمت ما تبقى من الحلم , فاعذروني فما هذه المكالمة إلا من عتمة أفكاري فأتمنى للرئيس عباس كل التوفيق وأرجو الا يكون هذا المؤتمر هو رحلة حب قصيرة الأمد . to 510 INFO root Tue, 28 Oct 2025 17:45:56 Predictions written to /rep/nhamad/ArabicNER/newTraining/Wojoodoutput/predictions.txt INFO root Tue, 28 Oct 2025 17:45:58 precision recall f1-score support CARDINAL 0.8624 0.8270 0.8443 341 CURR 0.0000 0.0000 0.0000 8 DATE 0.9222 0.9468 0.9343 3028 EVENT 0.7692 0.7273 0.7477 550 FAC 0.6409 0.7121 0.6746 198 GPE 0.9023 0.8811 0.8916 2254 LANGUAGE 0.8000 0.6364 0.7089 44 LAW 0.6116 0.8222 0.7014 90 LOC 0.6884 0.7784 0.7307 176 MONEY 0.5660 0.9091 0.6977 33 NORP 0.6476 0.7854 0.7099 1011 OCC 0.8604 0.8414 0.8508 1091 ORDINAL 0.9102 0.9348 0.9223 889 ORG 0.8755 0.9101 0.8924 3182 PERCENT 0.7317 0.9091 0.8108 33 PERS 0.9195 0.9468 0.9330 1411 PRODUCT 0.5556 0.2941 0.3846 17 QUANTITY 0.2500 0.1111 0.1538 9 TIME 0.6329 0.5952 0.6135 84 UNIT 0.0000 0.0000 0.0000 2 WEBSITE 0.5965 0.5862 0.5913 116 micro avg 0.8583 0.8838 0.8709 14567 macro avg 0.6544 0.6740 0.6568 14567 weighted avg 0.8611 0.8838 0.8714 14567 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:45:59 Epoch 2 | Timestep 8673 | Test Loss 0.042806 | F1 0.870865 INFO arabiner.trainers.BaseTrainer Tue, 28 Oct 2025 17:45:59 Saving checkpoint to /rep/nhamad/ArabicNER/newTraining/Wojoodoutput/checkpoints/checkpoint_2.pt INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:04 Epoch 3 | Batch 7/2891 | Timestep 8680 | LR 0.0000100000 | Loss 0.001768 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:06 Epoch 3 | Batch 17/2891 | Timestep 8690 | LR 0.0000100000 | Loss 0.012606 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:08 Epoch 3 | Batch 27/2891 | Timestep 8700 | LR 0.0000100000 | Loss 0.017343 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:11 Epoch 3 | Batch 37/2891 | Timestep 8710 | LR 0.0000100000 | Loss 0.005577 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:13 Epoch 3 | Batch 47/2891 | Timestep 8720 | LR 0.0000100000 | Loss 0.009069 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:15 Epoch 3 | Batch 57/2891 | Timestep 8730 | LR 0.0000100000 | Loss 0.022280 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:17 Epoch 3 | Batch 67/2891 | Timestep 8740 | LR 0.0000100000 | Loss 0.015622 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:19 Epoch 3 | Batch 77/2891 | Timestep 8750 | LR 0.0000100000 | Loss 0.047552 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:21 Epoch 3 | Batch 87/2891 | Timestep 8760 | LR 0.0000100000 | Loss 0.030737 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:23 Epoch 3 | Batch 97/2891 | Timestep 8770 | LR 0.0000100000 | Loss 0.010913 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:25 Epoch 3 | Batch 107/2891 | Timestep 8780 | LR 0.0000100000 | Loss 0.020221 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:27 Epoch 3 | Batch 117/2891 | Timestep 8790 | LR 0.0000100000 | Loss 0.085481 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:29 Epoch 3 | Batch 127/2891 | Timestep 8800 | LR 0.0000100000 | Loss 0.020859 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:32 Epoch 3 | Batch 137/2891 | Timestep 8810 | LR 0.0000100000 | Loss 0.019651 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:34 Epoch 3 | Batch 147/2891 | Timestep 8820 | LR 0.0000100000 | Loss 0.009932 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:36 Epoch 3 | Batch 157/2891 | Timestep 8830 | LR 0.0000100000 | Loss 0.101341 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:38 Epoch 3 | Batch 167/2891 | Timestep 8840 | LR 0.0000100000 | Loss 0.011874 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:40 Epoch 3 | Batch 177/2891 | Timestep 8850 | LR 0.0000100000 | Loss 0.004253 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:42 Epoch 3 | Batch 187/2891 | Timestep 8860 | LR 0.0000100000 | Loss 0.039255 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:44 Epoch 3 | Batch 197/2891 | Timestep 8870 | LR 0.0000100000 | Loss 0.002810 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:47 Epoch 3 | Batch 207/2891 | Timestep 8880 | LR 0.0000100000 | Loss 0.010112 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:49 Epoch 3 | Batch 217/2891 | Timestep 8890 | LR 0.0000100000 | Loss 0.001512 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:51 Epoch 3 | Batch 227/2891 | Timestep 8900 | LR 0.0000100000 | Loss 0.014983 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:53 Epoch 3 | Batch 237/2891 | Timestep 8910 | LR 0.0000100000 | Loss 0.007251 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:55 Epoch 3 | Batch 247/2891 | Timestep 8920 | LR 0.0000100000 | Loss 0.012044 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:57 Epoch 3 | Batch 257/2891 | Timestep 8930 | LR 0.0000100000 | Loss 0.010038 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:46:59 Epoch 3 | Batch 267/2891 | Timestep 8940 | LR 0.0000100000 | Loss 0.023082 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:02 Epoch 3 | Batch 277/2891 | Timestep 8950 | LR 0.0000100000 | Loss 0.014789 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:04 Epoch 3 | Batch 287/2891 | Timestep 8960 | LR 0.0000100000 | Loss 0.032596 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:06 Epoch 3 | Batch 297/2891 | Timestep 8970 | LR 0.0000100000 | Loss 0.012222 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:08 Epoch 3 | Batch 307/2891 | Timestep 8980 | LR 0.0000100000 | Loss 0.053003 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:11 Epoch 3 | Batch 317/2891 | Timestep 8990 | LR 0.0000100000 | Loss 0.008269 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:14 Epoch 3 | Batch 327/2891 | Timestep 9000 | LR 0.0000100000 | Loss 0.013735 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:16 Epoch 3 | Batch 337/2891 | Timestep 9010 | LR 0.0000100000 | Loss 0.041147 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:18 Epoch 3 | Batch 347/2891 | Timestep 9020 | LR 0.0000100000 | Loss 0.021510 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:20 Epoch 3 | Batch 357/2891 | Timestep 9030 | LR 0.0000100000 | Loss 0.006008 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:22 Epoch 3 | Batch 367/2891 | Timestep 9040 | LR 0.0000100000 | Loss 0.052480 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:24 Epoch 3 | Batch 377/2891 | Timestep 9050 | LR 0.0000100000 | Loss 0.005213 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:27 Epoch 3 | Batch 387/2891 | Timestep 9060 | LR 0.0000100000 | Loss 0.005035 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:29 Epoch 3 | Batch 397/2891 | Timestep 9070 | LR 0.0000100000 | Loss 0.080620 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:31 Epoch 3 | Batch 407/2891 | Timestep 9080 | LR 0.0000100000 | Loss 0.003897 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:33 Epoch 3 | Batch 417/2891 | Timestep 9090 | LR 0.0000100000 | Loss 0.013850 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:36 Epoch 3 | Batch 427/2891 | Timestep 9100 | LR 0.0000100000 | Loss 0.001384 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:38 Epoch 3 | Batch 437/2891 | Timestep 9110 | LR 0.0000100000 | Loss 0.005186 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:40 Epoch 3 | Batch 447/2891 | Timestep 9120 | LR 0.0000100000 | Loss 0.036037 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:43 Epoch 3 | Batch 457/2891 | Timestep 9130 | LR 0.0000100000 | Loss 0.020530 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:44 Epoch 3 | Batch 467/2891 | Timestep 9140 | LR 0.0000100000 | Loss 0.025327 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:46 Epoch 3 | Batch 477/2891 | Timestep 9150 | LR 0.0000100000 | Loss 0.039719 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:48 Epoch 3 | Batch 487/2891 | Timestep 9160 | LR 0.0000100000 | Loss 0.003097 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:50 Epoch 3 | Batch 497/2891 | Timestep 9170 | LR 0.0000100000 | Loss 0.010149 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:53 Epoch 3 | Batch 507/2891 | Timestep 9180 | LR 0.0000100000 | Loss 0.021759 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:54 Epoch 3 | Batch 517/2891 | Timestep 9190 | LR 0.0000100000 | Loss 0.009536 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:56 Epoch 3 | Batch 527/2891 | Timestep 9200 | LR 0.0000100000 | Loss 0.006509 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:47:59 Epoch 3 | Batch 537/2891 | Timestep 9210 | LR 0.0000100000 | Loss 0.025918 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:01 Epoch 3 | Batch 547/2891 | Timestep 9220 | LR 0.0000100000 | Loss 0.015868 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:03 Epoch 3 | Batch 557/2891 | Timestep 9230 | LR 0.0000100000 | Loss 0.011618 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:05 Epoch 3 | Batch 567/2891 | Timestep 9240 | LR 0.0000100000 | Loss 0.027591 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:07 Epoch 3 | Batch 577/2891 | Timestep 9250 | LR 0.0000100000 | Loss 0.041092 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:09 Epoch 3 | Batch 587/2891 | Timestep 9260 | LR 0.0000100000 | Loss 0.028289 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:11 Epoch 3 | Batch 597/2891 | Timestep 9270 | LR 0.0000100000 | Loss 0.048392 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:13 Epoch 3 | Batch 607/2891 | Timestep 9280 | LR 0.0000100000 | Loss 0.029414 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:15 Epoch 3 | Batch 617/2891 | Timestep 9290 | LR 0.0000100000 | Loss 0.017882 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:18 Epoch 3 | Batch 627/2891 | Timestep 9300 | LR 0.0000100000 | Loss 0.004909 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:20 Epoch 3 | Batch 637/2891 | Timestep 9310 | LR 0.0000100000 | Loss 0.088705 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:22 Epoch 3 | Batch 647/2891 | Timestep 9320 | LR 0.0000100000 | Loss 0.021127 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:25 Epoch 3 | Batch 657/2891 | Timestep 9330 | LR 0.0000100000 | Loss 0.017630 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:27 Epoch 3 | Batch 667/2891 | Timestep 9340 | LR 0.0000100000 | Loss 0.012777 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:28 Epoch 3 | Batch 677/2891 | Timestep 9350 | LR 0.0000100000 | Loss 0.037693 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:31 Epoch 3 | Batch 687/2891 | Timestep 9360 | LR 0.0000100000 | Loss 0.007898 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:33 Epoch 3 | Batch 697/2891 | Timestep 9370 | LR 0.0000100000 | Loss 0.042107 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:35 Epoch 3 | Batch 707/2891 | Timestep 9380 | LR 0.0000100000 | Loss 0.010859 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:37 Epoch 3 | Batch 717/2891 | Timestep 9390 | LR 0.0000100000 | Loss 0.028065 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:39 Epoch 3 | Batch 727/2891 | Timestep 9400 | LR 0.0000100000 | Loss 0.010401 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:41 Epoch 3 | Batch 737/2891 | Timestep 9410 | LR 0.0000100000 | Loss 0.005928 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:43 Epoch 3 | Batch 747/2891 | Timestep 9420 | LR 0.0000100000 | Loss 0.009424 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:45 Epoch 3 | Batch 757/2891 | Timestep 9430 | LR 0.0000100000 | Loss 0.016097 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:48 Epoch 3 | Batch 767/2891 | Timestep 9440 | LR 0.0000100000 | Loss 0.028260 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:50 Epoch 3 | Batch 777/2891 | Timestep 9450 | LR 0.0000100000 | Loss 0.056211 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:52 Epoch 3 | Batch 787/2891 | Timestep 9460 | LR 0.0000100000 | Loss 0.001925 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:54 Epoch 3 | Batch 797/2891 | Timestep 9470 | LR 0.0000100000 | Loss 0.025048 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:56 Epoch 3 | Batch 807/2891 | Timestep 9480 | LR 0.0000100000 | Loss 0.009793 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:48:58 Epoch 3 | Batch 817/2891 | Timestep 9490 | LR 0.0000100000 | Loss 0.013672 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:01 Epoch 3 | Batch 827/2891 | Timestep 9500 | LR 0.0000100000 | Loss 0.074518 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:03 Epoch 3 | Batch 837/2891 | Timestep 9510 | LR 0.0000100000 | Loss 0.007039 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:05 Epoch 3 | Batch 847/2891 | Timestep 9520 | LR 0.0000100000 | Loss 0.115703 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:08 Epoch 3 | Batch 857/2891 | Timestep 9530 | LR 0.0000100000 | Loss 0.023354 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:10 Epoch 3 | Batch 867/2891 | Timestep 9540 | LR 0.0000100000 | Loss 0.039112 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:12 Epoch 3 | Batch 877/2891 | Timestep 9550 | LR 0.0000100000 | Loss 0.018776 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:14 Epoch 3 | Batch 887/2891 | Timestep 9560 | LR 0.0000100000 | Loss 0.004529 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:16 Epoch 3 | Batch 897/2891 | Timestep 9570 | LR 0.0000100000 | Loss 0.036456 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:19 Epoch 3 | Batch 907/2891 | Timestep 9580 | LR 0.0000100000 | Loss 0.029976 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:21 Epoch 3 | Batch 917/2891 | Timestep 9590 | LR 0.0000100000 | Loss 0.007990 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:24 Epoch 3 | Batch 927/2891 | Timestep 9600 | LR 0.0000100000 | Loss 0.025927 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:26 Epoch 3 | Batch 937/2891 | Timestep 9610 | LR 0.0000100000 | Loss 0.001126 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:28 Epoch 3 | Batch 947/2891 | Timestep 9620 | LR 0.0000100000 | Loss 0.017157 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:30 Epoch 3 | Batch 957/2891 | Timestep 9630 | LR 0.0000100000 | Loss 0.083098 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:32 Epoch 3 | Batch 967/2891 | Timestep 9640 | LR 0.0000100000 | Loss 0.003537 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:34 Epoch 3 | Batch 977/2891 | Timestep 9650 | LR 0.0000100000 | Loss 0.021722 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:36 Epoch 3 | Batch 987/2891 | Timestep 9660 | LR 0.0000100000 | Loss 0.017407 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:38 Epoch 3 | Batch 997/2891 | Timestep 9670 | LR 0.0000100000 | Loss 0.005948 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:41 Epoch 3 | Batch 1007/2891 | Timestep 9680 | LR 0.0000100000 | Loss 0.095714 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:43 Epoch 3 | Batch 1017/2891 | Timestep 9690 | LR 0.0000100000 | Loss 0.014217 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:45 Epoch 3 | Batch 1027/2891 | Timestep 9700 | LR 0.0000100000 | Loss 0.004035 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:47 Epoch 3 | Batch 1037/2891 | Timestep 9710 | LR 0.0000100000 | Loss 0.003559 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:49 Epoch 3 | Batch 1047/2891 | Timestep 9720 | LR 0.0000100000 | Loss 0.031716 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:51 Epoch 3 | Batch 1057/2891 | Timestep 9730 | LR 0.0000100000 | Loss 0.023738 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:53 Epoch 3 | Batch 1067/2891 | Timestep 9740 | LR 0.0000100000 | Loss 0.033392 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:55 Epoch 3 | Batch 1077/2891 | Timestep 9750 | LR 0.0000100000 | Loss 0.006149 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:57 Epoch 3 | Batch 1087/2891 | Timestep 9760 | LR 0.0000100000 | Loss 0.003779 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:49:59 Epoch 3 | Batch 1097/2891 | Timestep 9770 | LR 0.0000100000 | Loss 0.017014 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:01 Epoch 3 | Batch 1107/2891 | Timestep 9780 | LR 0.0000100000 | Loss 0.022749 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:03 Epoch 3 | Batch 1117/2891 | Timestep 9790 | LR 0.0000100000 | Loss 0.025617 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:05 Epoch 3 | Batch 1127/2891 | Timestep 9800 | LR 0.0000100000 | Loss 0.022798 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:07 Epoch 3 | Batch 1137/2891 | Timestep 9810 | LR 0.0000100000 | Loss 0.026156 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:09 Epoch 3 | Batch 1147/2891 | Timestep 9820 | LR 0.0000100000 | Loss 0.003181 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:11 Epoch 3 | Batch 1157/2891 | Timestep 9830 | LR 0.0000100000 | Loss 0.016921 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:13 Epoch 3 | Batch 1167/2891 | Timestep 9840 | LR 0.0000100000 | Loss 0.094884 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:15 Epoch 3 | Batch 1177/2891 | Timestep 9850 | LR 0.0000100000 | Loss 0.014843 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:17 Epoch 3 | Batch 1187/2891 | Timestep 9860 | LR 0.0000100000 | Loss 0.078291 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:19 Epoch 3 | Batch 1197/2891 | Timestep 9870 | LR 0.0000100000 | Loss 0.028167 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:22 Epoch 3 | Batch 1207/2891 | Timestep 9880 | LR 0.0000100000 | Loss 0.085640 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:24 Epoch 3 | Batch 1217/2891 | Timestep 9890 | LR 0.0000100000 | Loss 0.077802 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:26 Epoch 3 | Batch 1227/2891 | Timestep 9900 | LR 0.0000100000 | Loss 0.017463 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:28 Epoch 3 | Batch 1237/2891 | Timestep 9910 | LR 0.0000100000 | Loss 0.027441 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:30 Epoch 3 | Batch 1247/2891 | Timestep 9920 | LR 0.0000100000 | Loss 0.019736 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:33 Epoch 3 | Batch 1257/2891 | Timestep 9930 | LR 0.0000100000 | Loss 0.005301 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:35 Epoch 3 | Batch 1267/2891 | Timestep 9940 | LR 0.0000100000 | Loss 0.007520 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:37 Epoch 3 | Batch 1277/2891 | Timestep 9950 | LR 0.0000100000 | Loss 0.009911 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:41 Epoch 3 | Batch 1287/2891 | Timestep 9960 | LR 0.0000100000 | Loss 0.046696 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:42 Epoch 3 | Batch 1297/2891 | Timestep 9970 | LR 0.0000100000 | Loss 0.001570 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:45 Epoch 3 | Batch 1307/2891 | Timestep 9980 | LR 0.0000100000 | Loss 0.011473 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:47 Epoch 3 | Batch 1317/2891 | Timestep 9990 | LR 0.0000100000 | Loss 0.007014 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:49 Epoch 3 | Batch 1327/2891 | Timestep 10000 | LR 0.0000100000 | Loss 0.118741 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:51 Epoch 3 | Batch 1337/2891 | Timestep 10010 | LR 0.0000100000 | Loss 0.078959 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:52 Epoch 3 | Batch 1347/2891 | Timestep 10020 | LR 0.0000100000 | Loss 0.025567 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:55 Epoch 3 | Batch 1357/2891 | Timestep 10030 | LR 0.0000100000 | Loss 0.016526 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:57 Epoch 3 | Batch 1367/2891 | Timestep 10040 | LR 0.0000100000 | Loss 0.043932 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:50:59 Epoch 3 | Batch 1377/2891 | Timestep 10050 | LR 0.0000100000 | Loss 0.016450 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:01 Epoch 3 | Batch 1387/2891 | Timestep 10060 | LR 0.0000100000 | Loss 0.006053 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:03 Epoch 3 | Batch 1397/2891 | Timestep 10070 | LR 0.0000100000 | Loss 0.029700 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:06 Epoch 3 | Batch 1407/2891 | Timestep 10080 | LR 0.0000100000 | Loss 0.042976 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:08 Epoch 3 | Batch 1417/2891 | Timestep 10090 | LR 0.0000100000 | Loss 0.036473 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:10 Epoch 3 | Batch 1427/2891 | Timestep 10100 | LR 0.0000100000 | Loss 0.035874 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:12 Epoch 3 | Batch 1437/2891 | Timestep 10110 | LR 0.0000100000 | Loss 0.019551 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:14 Epoch 3 | Batch 1447/2891 | Timestep 10120 | LR 0.0000100000 | Loss 0.018204 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:16 Epoch 3 | Batch 1457/2891 | Timestep 10130 | LR 0.0000100000 | Loss 0.012171 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:18 Epoch 3 | Batch 1467/2891 | Timestep 10140 | LR 0.0000100000 | Loss 0.005917 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:19 Epoch 3 | Batch 1477/2891 | Timestep 10150 | LR 0.0000100000 | Loss 0.063776 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:22 Epoch 3 | Batch 1487/2891 | Timestep 10160 | LR 0.0000100000 | Loss 0.017582 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:23 Epoch 3 | Batch 1497/2891 | Timestep 10170 | LR 0.0000100000 | Loss 0.019088 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:25 Epoch 3 | Batch 1507/2891 | Timestep 10180 | LR 0.0000100000 | Loss 0.011087 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:28 Epoch 3 | Batch 1517/2891 | Timestep 10190 | LR 0.0000100000 | Loss 0.053279 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:30 Epoch 3 | Batch 1527/2891 | Timestep 10200 | LR 0.0000100000 | Loss 0.014987 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:32 Epoch 3 | Batch 1537/2891 | Timestep 10210 | LR 0.0000100000 | Loss 0.011884 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:34 Epoch 3 | Batch 1547/2891 | Timestep 10220 | LR 0.0000100000 | Loss 0.007046 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:36 Epoch 3 | Batch 1557/2891 | Timestep 10230 | LR 0.0000100000 | Loss 0.029364 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:39 Epoch 3 | Batch 1567/2891 | Timestep 10240 | LR 0.0000100000 | Loss 0.015104 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:41 Epoch 3 | Batch 1577/2891 | Timestep 10250 | LR 0.0000100000 | Loss 0.005355 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:43 Epoch 3 | Batch 1587/2891 | Timestep 10260 | LR 0.0000100000 | Loss 0.041772 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:45 Epoch 3 | Batch 1597/2891 | Timestep 10270 | LR 0.0000100000 | Loss 0.014782 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:47 Epoch 3 | Batch 1607/2891 | Timestep 10280 | LR 0.0000100000 | Loss 0.022508 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:49 Epoch 3 | Batch 1617/2891 | Timestep 10290 | LR 0.0000100000 | Loss 0.000837 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:52 Epoch 3 | Batch 1627/2891 | Timestep 10300 | LR 0.0000100000 | Loss 0.120303 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:54 Epoch 3 | Batch 1637/2891 | Timestep 10310 | LR 0.0000100000 | Loss 0.035013 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:56 Epoch 3 | Batch 1647/2891 | Timestep 10320 | LR 0.0000100000 | Loss 0.023191 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:51:58 Epoch 3 | Batch 1657/2891 | Timestep 10330 | LR 0.0000100000 | Loss 0.027394 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:00 Epoch 3 | Batch 1667/2891 | Timestep 10340 | LR 0.0000100000 | Loss 0.007187 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:02 Epoch 3 | Batch 1677/2891 | Timestep 10350 | LR 0.0000100000 | Loss 0.026330 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:04 Epoch 3 | Batch 1687/2891 | Timestep 10360 | LR 0.0000100000 | Loss 0.014447 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:06 Epoch 3 | Batch 1697/2891 | Timestep 10370 | LR 0.0000100000 | Loss 0.030122 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:08 Epoch 3 | Batch 1707/2891 | Timestep 10380 | LR 0.0000100000 | Loss 0.010063 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:10 Epoch 3 | Batch 1717/2891 | Timestep 10390 | LR 0.0000100000 | Loss 0.004912 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:12 Epoch 3 | Batch 1727/2891 | Timestep 10400 | LR 0.0000100000 | Loss 0.030535 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:14 Epoch 3 | Batch 1737/2891 | Timestep 10410 | LR 0.0000100000 | Loss 0.040332 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:17 Epoch 3 | Batch 1747/2891 | Timestep 10420 | LR 0.0000100000 | Loss 0.007168 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:19 Epoch 3 | Batch 1757/2891 | Timestep 10430 | LR 0.0000100000 | Loss 0.003089 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:21 Epoch 3 | Batch 1767/2891 | Timestep 10440 | LR 0.0000100000 | Loss 0.010094 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:23 Epoch 3 | Batch 1777/2891 | Timestep 10450 | LR 0.0000100000 | Loss 0.078443 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:25 Epoch 3 | Batch 1787/2891 | Timestep 10460 | LR 0.0000100000 | Loss 0.025385 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:27 Epoch 3 | Batch 1797/2891 | Timestep 10470 | LR 0.0000100000 | Loss 0.039000 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:29 Epoch 3 | Batch 1807/2891 | Timestep 10480 | LR 0.0000100000 | Loss 0.079754 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:32 Epoch 3 | Batch 1817/2891 | Timestep 10490 | LR 0.0000100000 | Loss 0.001299 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:34 Epoch 3 | Batch 1827/2891 | Timestep 10500 | LR 0.0000100000 | Loss 0.030443 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:35 Epoch 3 | Batch 1837/2891 | Timestep 10510 | LR 0.0000100000 | Loss 0.015407 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:37 Epoch 3 | Batch 1847/2891 | Timestep 10520 | LR 0.0000100000 | Loss 0.031189 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:39 Epoch 3 | Batch 1857/2891 | Timestep 10530 | LR 0.0000100000 | Loss 0.055367 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:42 Epoch 3 | Batch 1867/2891 | Timestep 10540 | LR 0.0000100000 | Loss 0.006258 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:44 Epoch 3 | Batch 1877/2891 | Timestep 10550 | LR 0.0000100000 | Loss 0.012551 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:46 Epoch 3 | Batch 1887/2891 | Timestep 10560 | LR 0.0000100000 | Loss 0.009627 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:48 Epoch 3 | Batch 1897/2891 | Timestep 10570 | LR 0.0000100000 | Loss 0.023156 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:50 Epoch 3 | Batch 1907/2891 | Timestep 10580 | LR 0.0000100000 | Loss 0.056265 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:52 Epoch 3 | Batch 1917/2891 | Timestep 10590 | LR 0.0000100000 | Loss 0.034945 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:54 Epoch 3 | Batch 1927/2891 | Timestep 10600 | LR 0.0000100000 | Loss 0.005406 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:56 Epoch 3 | Batch 1937/2891 | Timestep 10610 | LR 0.0000100000 | Loss 0.026673 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:52:58 Epoch 3 | Batch 1947/2891 | Timestep 10620 | LR 0.0000100000 | Loss 0.003874 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:00 Epoch 3 | Batch 1957/2891 | Timestep 10630 | LR 0.0000100000 | Loss 0.025130 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:02 Epoch 3 | Batch 1967/2891 | Timestep 10640 | LR 0.0000100000 | Loss 0.050566 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:05 Epoch 3 | Batch 1977/2891 | Timestep 10650 | LR 0.0000100000 | Loss 0.015607 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:07 Epoch 3 | Batch 1987/2891 | Timestep 10660 | LR 0.0000100000 | Loss 0.002158 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:09 Epoch 3 | Batch 1997/2891 | Timestep 10670 | LR 0.0000100000 | Loss 0.006918 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:11 Epoch 3 | Batch 2007/2891 | Timestep 10680 | LR 0.0000100000 | Loss 0.013495 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:13 Epoch 3 | Batch 2017/2891 | Timestep 10690 | LR 0.0000100000 | Loss 0.007299 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:15 Epoch 3 | Batch 2027/2891 | Timestep 10700 | LR 0.0000100000 | Loss 0.002068 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:17 Epoch 3 | Batch 2037/2891 | Timestep 10710 | LR 0.0000100000 | Loss 0.009965 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:19 Epoch 3 | Batch 2047/2891 | Timestep 10720 | LR 0.0000100000 | Loss 0.003118 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:22 Epoch 3 | Batch 2057/2891 | Timestep 10730 | LR 0.0000100000 | Loss 0.006344 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:24 Epoch 3 | Batch 2067/2891 | Timestep 10740 | LR 0.0000100000 | Loss 0.007336 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:26 Epoch 3 | Batch 2077/2891 | Timestep 10750 | LR 0.0000100000 | Loss 0.000617 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:28 Epoch 3 | Batch 2087/2891 | Timestep 10760 | LR 0.0000100000 | Loss 0.033542 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:30 Epoch 3 | Batch 2097/2891 | Timestep 10770 | LR 0.0000100000 | Loss 0.018406 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:31 Epoch 3 | Batch 2107/2891 | Timestep 10780 | LR 0.0000100000 | Loss 0.007879 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:33 Epoch 3 | Batch 2117/2891 | Timestep 10790 | LR 0.0000100000 | Loss 0.015567 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:37 Epoch 3 | Batch 2127/2891 | Timestep 10800 | LR 0.0000100000 | Loss 0.002985 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:39 Epoch 3 | Batch 2137/2891 | Timestep 10810 | LR 0.0000100000 | Loss 0.013789 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:41 Epoch 3 | Batch 2147/2891 | Timestep 10820 | LR 0.0000100000 | Loss 0.007586 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:44 Epoch 3 | Batch 2157/2891 | Timestep 10830 | LR 0.0000100000 | Loss 0.001328 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:46 Epoch 3 | Batch 2167/2891 | Timestep 10840 | LR 0.0000100000 | Loss 0.053912 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:48 Epoch 3 | Batch 2177/2891 | Timestep 10850 | LR 0.0000100000 | Loss 0.008652 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:50 Epoch 3 | Batch 2187/2891 | Timestep 10860 | LR 0.0000100000 | Loss 0.014220 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:52 Epoch 3 | Batch 2197/2891 | Timestep 10870 | LR 0.0000100000 | Loss 0.018622 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:54 Epoch 3 | Batch 2207/2891 | Timestep 10880 | LR 0.0000100000 | Loss 0.006266 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:56 Epoch 3 | Batch 2217/2891 | Timestep 10890 | LR 0.0000100000 | Loss 0.024675 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:53:59 Epoch 3 | Batch 2227/2891 | Timestep 10900 | LR 0.0000100000 | Loss 0.004910 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:01 Epoch 3 | Batch 2237/2891 | Timestep 10910 | LR 0.0000100000 | Loss 0.013674 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:03 Epoch 3 | Batch 2247/2891 | Timestep 10920 | LR 0.0000100000 | Loss 0.006968 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:05 Epoch 3 | Batch 2257/2891 | Timestep 10930 | LR 0.0000100000 | Loss 0.015158 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:08 Epoch 3 | Batch 2267/2891 | Timestep 10940 | LR 0.0000100000 | Loss 0.003980 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:10 Epoch 3 | Batch 2277/2891 | Timestep 10950 | LR 0.0000100000 | Loss 0.046449 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:12 Epoch 3 | Batch 2287/2891 | Timestep 10960 | LR 0.0000100000 | Loss 0.014179 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:15 Epoch 3 | Batch 2297/2891 | Timestep 10970 | LR 0.0000100000 | Loss 0.002346 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:17 Epoch 3 | Batch 2307/2891 | Timestep 10980 | LR 0.0000100000 | Loss 0.001607 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:19 Epoch 3 | Batch 2317/2891 | Timestep 10990 | LR 0.0000100000 | Loss 0.006302 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:21 Epoch 3 | Batch 2327/2891 | Timestep 11000 | LR 0.0000100000 | Loss 0.160471 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:23 Epoch 3 | Batch 2337/2891 | Timestep 11010 | LR 0.0000100000 | Loss 0.015062 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:25 Epoch 3 | Batch 2347/2891 | Timestep 11020 | LR 0.0000100000 | Loss 0.011125 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:27 Epoch 3 | Batch 2357/2891 | Timestep 11030 | LR 0.0000100000 | Loss 0.023981 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:29 Epoch 3 | Batch 2367/2891 | Timestep 11040 | LR 0.0000100000 | Loss 0.013137 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:31 Epoch 3 | Batch 2377/2891 | Timestep 11050 | LR 0.0000100000 | Loss 0.032447 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:33 Epoch 3 | Batch 2387/2891 | Timestep 11060 | LR 0.0000100000 | Loss 0.001326 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:35 Epoch 3 | Batch 2397/2891 | Timestep 11070 | LR 0.0000100000 | Loss 0.008242 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:37 Epoch 3 | Batch 2407/2891 | Timestep 11080 | LR 0.0000100000 | Loss 0.003210 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:39 Epoch 3 | Batch 2417/2891 | Timestep 11090 | LR 0.0000100000 | Loss 0.026312 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:41 Epoch 3 | Batch 2427/2891 | Timestep 11100 | LR 0.0000100000 | Loss 0.064019 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:43 Epoch 3 | Batch 2437/2891 | Timestep 11110 | LR 0.0000100000 | Loss 0.003688 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:45 Epoch 3 | Batch 2447/2891 | Timestep 11120 | LR 0.0000100000 | Loss 0.019091 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:47 Epoch 3 | Batch 2457/2891 | Timestep 11130 | LR 0.0000100000 | Loss 0.014376 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:49 Epoch 3 | Batch 2467/2891 | Timestep 11140 | LR 0.0000100000 | Loss 0.020719 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:51 Epoch 3 | Batch 2477/2891 | Timestep 11150 | LR 0.0000100000 | Loss 0.022511 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:53 Epoch 3 | Batch 2487/2891 | Timestep 11160 | LR 0.0000100000 | Loss 0.003226 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:55 Epoch 3 | Batch 2497/2891 | Timestep 11170 | LR 0.0000100000 | Loss 0.002932 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:54:58 Epoch 3 | Batch 2507/2891 | Timestep 11180 | LR 0.0000100000 | Loss 0.056309 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:00 Epoch 3 | Batch 2517/2891 | Timestep 11190 | LR 0.0000100000 | Loss 0.007672 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:02 Epoch 3 | Batch 2527/2891 | Timestep 11200 | LR 0.0000100000 | Loss 0.008237 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:04 Epoch 3 | Batch 2537/2891 | Timestep 11210 | LR 0.0000100000 | Loss 0.013445 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:08 Epoch 3 | Batch 2547/2891 | Timestep 11220 | LR 0.0000100000 | Loss 0.004579 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:10 Epoch 3 | Batch 2557/2891 | Timestep 11230 | LR 0.0000100000 | Loss 0.010540 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:12 Epoch 3 | Batch 2567/2891 | Timestep 11240 | LR 0.0000100000 | Loss 0.001073 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:14 Epoch 3 | Batch 2577/2891 | Timestep 11250 | LR 0.0000100000 | Loss 0.070902 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:17 Epoch 3 | Batch 2587/2891 | Timestep 11260 | LR 0.0000100000 | Loss 0.010710 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:19 Epoch 3 | Batch 2597/2891 | Timestep 11270 | LR 0.0000100000 | Loss 0.002860 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:21 Epoch 3 | Batch 2607/2891 | Timestep 11280 | LR 0.0000100000 | Loss 0.028835 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:23 Epoch 3 | Batch 2617/2891 | Timestep 11290 | LR 0.0000100000 | Loss 0.003628 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:25 Epoch 3 | Batch 2627/2891 | Timestep 11300 | LR 0.0000100000 | Loss 0.024154 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:27 Epoch 3 | Batch 2637/2891 | Timestep 11310 | LR 0.0000100000 | Loss 0.004229 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:29 Epoch 3 | Batch 2647/2891 | Timestep 11320 | LR 0.0000100000 | Loss 0.009693 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:31 Epoch 3 | Batch 2657/2891 | Timestep 11330 | LR 0.0000100000 | Loss 0.015500 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:33 Epoch 3 | Batch 2667/2891 | Timestep 11340 | LR 0.0000100000 | Loss 0.009825 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:36 Epoch 3 | Batch 2677/2891 | Timestep 11350 | LR 0.0000100000 | Loss 0.025192 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:38 Epoch 3 | Batch 2687/2891 | Timestep 11360 | LR 0.0000100000 | Loss 0.016962 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:40 Epoch 3 | Batch 2697/2891 | Timestep 11370 | LR 0.0000100000 | Loss 0.010152 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:42 Epoch 3 | Batch 2707/2891 | Timestep 11380 | LR 0.0000100000 | Loss 0.041502 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:45 Epoch 3 | Batch 2717/2891 | Timestep 11390 | LR 0.0000100000 | Loss 0.013683 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:47 Epoch 3 | Batch 2727/2891 | Timestep 11400 | LR 0.0000100000 | Loss 0.009328 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:49 Epoch 3 | Batch 2737/2891 | Timestep 11410 | LR 0.0000100000 | Loss 0.027502 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:51 Epoch 3 | Batch 2747/2891 | Timestep 11420 | LR 0.0000100000 | Loss 0.030910 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:53 Epoch 3 | Batch 2757/2891 | Timestep 11430 | LR 0.0000100000 | Loss 0.010875 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:55 Epoch 3 | Batch 2767/2891 | Timestep 11440 | LR 0.0000100000 | Loss 0.029897 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:55:58 Epoch 3 | Batch 2777/2891 | Timestep 11450 | LR 0.0000100000 | Loss 0.001103 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:56:00 Epoch 3 | Batch 2787/2891 | Timestep 11460 | LR 0.0000100000 | Loss 0.037213 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:56:02 Epoch 3 | Batch 2797/2891 | Timestep 11470 | LR 0.0000100000 | Loss 0.003256 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:56:04 Epoch 3 | Batch 2807/2891 | Timestep 11480 | LR 0.0000100000 | Loss 0.019805 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:56:06 Epoch 3 | Batch 2817/2891 | Timestep 11490 | LR 0.0000100000 | Loss 0.003751 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:56:08 Epoch 3 | Batch 2827/2891 | Timestep 11500 | LR 0.0000100000 | Loss 0.006725 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:56:10 Epoch 3 | Batch 2837/2891 | Timestep 11510 | LR 0.0000100000 | Loss 0.017873 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:56:12 Epoch 3 | Batch 2847/2891 | Timestep 11520 | LR 0.0000100000 | Loss 0.016442 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:56:14 Epoch 3 | Batch 2857/2891 | Timestep 11530 | LR 0.0000100000 | Loss 0.009849 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:56:16 Epoch 3 | Batch 2867/2891 | Timestep 11540 | LR 0.0000100000 | Loss 0.058552 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:56:19 Epoch 3 | Batch 2877/2891 | Timestep 11550 | LR 0.0000100000 | Loss 0.001108 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:56:21 Epoch 3 | Batch 2887/2891 | Timestep 11560 | LR 0.0000100000 | Loss 0.005964 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:56:22 ** Evaluating on validation dataset ** INFO root Tue, 28 Oct 2025 17:56:44 precision recall f1-score support CARDINAL 0.8293 0.8000 0.8144 170 CURR 0.0000 0.0000 0.0000 2 DATE 0.9191 0.9271 0.9231 1592 EVENT 0.5506 0.7518 0.6357 282 FAC 0.6140 0.7609 0.6796 92 GPE 0.8877 0.9029 0.8953 1051 LANGUAGE 0.4643 0.8125 0.5909 16 LAW 0.6364 0.8936 0.7434 47 LOC 0.7639 0.7432 0.7534 74 MONEY 0.7692 0.9091 0.8333 22 NORP 0.6796 0.7264 0.7022 508 OCC 0.8415 0.8677 0.8544 514 ORDINAL 0.9336 0.9169 0.9252 445 ORG 0.9061 0.8986 0.9023 1578 PERCENT 0.7059 1.0000 0.8276 12 PERS 0.9187 0.9592 0.9385 613 PRODUCT 0.3333 0.2500 0.2857 8 QUANTITY 0.6667 0.6667 0.6667 3 TIME 0.7429 0.7879 0.7647 33 UNIT 0.0000 0.0000 0.0000 1 WEBSITE 0.5116 0.5500 0.5301 80 micro avg 0.8506 0.8803 0.8652 7143 macro avg 0.6512 0.7202 0.6794 7143 weighted avg 0.8574 0.8803 0.8677 7143 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:56:45 Epoch 3 | Timestep 11564 | Train Loss 0.022750 | Val Loss 0.042122 | F1 0.865222 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:56:46 Epoch 4 | Batch 6/2891 | Timestep 11570 | LR 0.0000100000 | Loss 0.018775 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:56:48 Epoch 4 | Batch 16/2891 | Timestep 11580 | LR 0.0000100000 | Loss 0.002075 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:56:51 Epoch 4 | Batch 26/2891 | Timestep 11590 | LR 0.0000100000 | Loss 0.018837 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:56:53 Epoch 4 | Batch 36/2891 | Timestep 11600 | LR 0.0000100000 | Loss 0.071103 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:56:54 Epoch 4 | Batch 46/2891 | Timestep 11610 | LR 0.0000100000 | Loss 0.002756 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:56:57 Epoch 4 | Batch 56/2891 | Timestep 11620 | LR 0.0000100000 | Loss 0.018524 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:56:58 Epoch 4 | Batch 66/2891 | Timestep 11630 | LR 0.0000100000 | Loss 0.015039 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:01 Epoch 4 | Batch 76/2891 | Timestep 11640 | LR 0.0000100000 | Loss 0.010519 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:03 Epoch 4 | Batch 86/2891 | Timestep 11650 | LR 0.0000100000 | Loss 0.001209 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:05 Epoch 4 | Batch 96/2891 | Timestep 11660 | LR 0.0000100000 | Loss 0.008330 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:07 Epoch 4 | Batch 106/2891 | Timestep 11670 | LR 0.0000100000 | Loss 0.003266 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:09 Epoch 4 | Batch 116/2891 | Timestep 11680 | LR 0.0000100000 | Loss 0.012949 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:11 Epoch 4 | Batch 126/2891 | Timestep 11690 | LR 0.0000100000 | Loss 0.005904 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:14 Epoch 4 | Batch 136/2891 | Timestep 11700 | LR 0.0000100000 | Loss 0.002976 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:15 Epoch 4 | Batch 146/2891 | Timestep 11710 | LR 0.0000100000 | Loss 0.007366 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:17 Epoch 4 | Batch 156/2891 | Timestep 11720 | LR 0.0000100000 | Loss 0.026330 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:19 Epoch 4 | Batch 166/2891 | Timestep 11730 | LR 0.0000100000 | Loss 0.014549 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:22 Epoch 4 | Batch 176/2891 | Timestep 11740 | LR 0.0000100000 | Loss 0.046647 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:23 Epoch 4 | Batch 186/2891 | Timestep 11750 | LR 0.0000100000 | Loss 0.001972 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:27 Epoch 4 | Batch 196/2891 | Timestep 11760 | LR 0.0000100000 | Loss 0.019086 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:29 Epoch 4 | Batch 206/2891 | Timestep 11770 | LR 0.0000100000 | Loss 0.003724 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:31 Epoch 4 | Batch 216/2891 | Timestep 11780 | LR 0.0000100000 | Loss 0.047002 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:33 Epoch 4 | Batch 226/2891 | Timestep 11790 | LR 0.0000100000 | Loss 0.022939 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:35 Epoch 4 | Batch 236/2891 | Timestep 11800 | LR 0.0000100000 | Loss 0.012644 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:37 Epoch 4 | Batch 246/2891 | Timestep 11810 | LR 0.0000100000 | Loss 0.002168 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:39 Epoch 4 | Batch 256/2891 | Timestep 11820 | LR 0.0000100000 | Loss 0.009120 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:41 Epoch 4 | Batch 266/2891 | Timestep 11830 | LR 0.0000100000 | Loss 0.020832 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:43 Epoch 4 | Batch 276/2891 | Timestep 11840 | LR 0.0000100000 | Loss 0.021986 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:45 Epoch 4 | Batch 286/2891 | Timestep 11850 | LR 0.0000100000 | Loss 0.034271 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:47 Epoch 4 | Batch 296/2891 | Timestep 11860 | LR 0.0000100000 | Loss 0.011023 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:49 Epoch 4 | Batch 306/2891 | Timestep 11870 | LR 0.0000100000 | Loss 0.005111 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:52 Epoch 4 | Batch 316/2891 | Timestep 11880 | LR 0.0000100000 | Loss 0.026337 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:54 Epoch 4 | Batch 326/2891 | Timestep 11890 | LR 0.0000100000 | Loss 0.001890 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:56 Epoch 4 | Batch 336/2891 | Timestep 11900 | LR 0.0000100000 | Loss 0.051647 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:57:58 Epoch 4 | Batch 346/2891 | Timestep 11910 | LR 0.0000100000 | Loss 0.004426 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:00 Epoch 4 | Batch 356/2891 | Timestep 11920 | LR 0.0000100000 | Loss 0.013298 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:01 Epoch 4 | Batch 366/2891 | Timestep 11930 | LR 0.0000100000 | Loss 0.008970 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:03 Epoch 4 | Batch 376/2891 | Timestep 11940 | LR 0.0000100000 | Loss 0.016609 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:06 Epoch 4 | Batch 386/2891 | Timestep 11950 | LR 0.0000100000 | Loss 0.012786 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:09 Epoch 4 | Batch 396/2891 | Timestep 11960 | LR 0.0000100000 | Loss 0.008806 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:11 Epoch 4 | Batch 406/2891 | Timestep 11970 | LR 0.0000100000 | Loss 0.006196 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:13 Epoch 4 | Batch 416/2891 | Timestep 11980 | LR 0.0000100000 | Loss 0.008168 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:15 Epoch 4 | Batch 426/2891 | Timestep 11990 | LR 0.0000100000 | Loss 0.006753 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:17 Epoch 4 | Batch 436/2891 | Timestep 12000 | LR 0.0000100000 | Loss 0.010246 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:19 Epoch 4 | Batch 446/2891 | Timestep 12010 | LR 0.0000100000 | Loss 0.001810 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:22 Epoch 4 | Batch 456/2891 | Timestep 12020 | LR 0.0000100000 | Loss 0.008650 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:24 Epoch 4 | Batch 466/2891 | Timestep 12030 | LR 0.0000100000 | Loss 0.014016 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:26 Epoch 4 | Batch 476/2891 | Timestep 12040 | LR 0.0000100000 | Loss 0.007328 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:28 Epoch 4 | Batch 486/2891 | Timestep 12050 | LR 0.0000100000 | Loss 0.006645 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:31 Epoch 4 | Batch 496/2891 | Timestep 12060 | LR 0.0000100000 | Loss 0.013431 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:34 Epoch 4 | Batch 506/2891 | Timestep 12070 | LR 0.0000100000 | Loss 0.023374 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:36 Epoch 4 | Batch 516/2891 | Timestep 12080 | LR 0.0000100000 | Loss 0.003566 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:37 Epoch 4 | Batch 526/2891 | Timestep 12090 | LR 0.0000100000 | Loss 0.016137 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:39 Epoch 4 | Batch 536/2891 | Timestep 12100 | LR 0.0000100000 | Loss 0.003050 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:42 Epoch 4 | Batch 546/2891 | Timestep 12110 | LR 0.0000100000 | Loss 0.034798 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:44 Epoch 4 | Batch 556/2891 | Timestep 12120 | LR 0.0000100000 | Loss 0.007053 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:46 Epoch 4 | Batch 566/2891 | Timestep 12130 | LR 0.0000100000 | Loss 0.029777 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:48 Epoch 4 | Batch 576/2891 | Timestep 12140 | LR 0.0000100000 | Loss 0.014457 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:50 Epoch 4 | Batch 586/2891 | Timestep 12150 | LR 0.0000100000 | Loss 0.017840 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:52 Epoch 4 | Batch 596/2891 | Timestep 12160 | LR 0.0000100000 | Loss 0.001470 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:55 Epoch 4 | Batch 606/2891 | Timestep 12170 | LR 0.0000100000 | Loss 0.006459 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:56 Epoch 4 | Batch 616/2891 | Timestep 12180 | LR 0.0000100000 | Loss 0.015891 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:58:58 Epoch 4 | Batch 626/2891 | Timestep 12190 | LR 0.0000100000 | Loss 0.019590 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:00 Epoch 4 | Batch 636/2891 | Timestep 12200 | LR 0.0000100000 | Loss 0.000913 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:03 Epoch 4 | Batch 646/2891 | Timestep 12210 | LR 0.0000100000 | Loss 0.013324 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:05 Epoch 4 | Batch 656/2891 | Timestep 12220 | LR 0.0000100000 | Loss 0.002328 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:07 Epoch 4 | Batch 666/2891 | Timestep 12230 | LR 0.0000100000 | Loss 0.001179 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:09 Epoch 4 | Batch 676/2891 | Timestep 12240 | LR 0.0000100000 | Loss 0.013205 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:12 Epoch 4 | Batch 686/2891 | Timestep 12250 | LR 0.0000100000 | Loss 0.078256 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:14 Epoch 4 | Batch 696/2891 | Timestep 12260 | LR 0.0000100000 | Loss 0.008653 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:16 Epoch 4 | Batch 706/2891 | Timestep 12270 | LR 0.0000100000 | Loss 0.002559 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:18 Epoch 4 | Batch 716/2891 | Timestep 12280 | LR 0.0000100000 | Loss 0.005507 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:21 Epoch 4 | Batch 726/2891 | Timestep 12290 | LR 0.0000100000 | Loss 0.011155 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:23 Epoch 4 | Batch 736/2891 | Timestep 12300 | LR 0.0000100000 | Loss 0.001950 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:25 Epoch 4 | Batch 746/2891 | Timestep 12310 | LR 0.0000100000 | Loss 0.059784 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:27 Epoch 4 | Batch 756/2891 | Timestep 12320 | LR 0.0000100000 | Loss 0.008977 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:29 Epoch 4 | Batch 766/2891 | Timestep 12330 | LR 0.0000100000 | Loss 0.011551 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:31 Epoch 4 | Batch 776/2891 | Timestep 12340 | LR 0.0000100000 | Loss 0.004907 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:33 Epoch 4 | Batch 786/2891 | Timestep 12350 | LR 0.0000100000 | Loss 0.009903 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:35 Epoch 4 | Batch 796/2891 | Timestep 12360 | LR 0.0000100000 | Loss 0.009983 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:37 Epoch 4 | Batch 806/2891 | Timestep 12370 | LR 0.0000100000 | Loss 0.034031 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:39 Epoch 4 | Batch 816/2891 | Timestep 12380 | LR 0.0000100000 | Loss 0.010138 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:42 Epoch 4 | Batch 826/2891 | Timestep 12390 | LR 0.0000100000 | Loss 0.009989 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:44 Epoch 4 | Batch 836/2891 | Timestep 12400 | LR 0.0000100000 | Loss 0.027543 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:46 Epoch 4 | Batch 846/2891 | Timestep 12410 | LR 0.0000100000 | Loss 0.018476 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:48 Epoch 4 | Batch 856/2891 | Timestep 12420 | LR 0.0000100000 | Loss 0.028626 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:50 Epoch 4 | Batch 866/2891 | Timestep 12430 | LR 0.0000100000 | Loss 0.007659 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:52 Epoch 4 | Batch 876/2891 | Timestep 12440 | LR 0.0000100000 | Loss 0.004225 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:54 Epoch 4 | Batch 886/2891 | Timestep 12450 | LR 0.0000100000 | Loss 0.017396 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:56 Epoch 4 | Batch 896/2891 | Timestep 12460 | LR 0.0000100000 | Loss 0.042680 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:59:59 Epoch 4 | Batch 906/2891 | Timestep 12470 | LR 0.0000100000 | Loss 0.007326 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:00 Epoch 4 | Batch 916/2891 | Timestep 12480 | LR 0.0000100000 | Loss 0.016969 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:03 Epoch 4 | Batch 926/2891 | Timestep 12490 | LR 0.0000100000 | Loss 0.015280 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:05 Epoch 4 | Batch 936/2891 | Timestep 12500 | LR 0.0000100000 | Loss 0.012247 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:07 Epoch 4 | Batch 946/2891 | Timestep 12510 | LR 0.0000100000 | Loss 0.006311 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:09 Epoch 4 | Batch 956/2891 | Timestep 12520 | LR 0.0000100000 | Loss 0.004666 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:11 Epoch 4 | Batch 966/2891 | Timestep 12530 | LR 0.0000100000 | Loss 0.005107 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:14 Epoch 4 | Batch 976/2891 | Timestep 12540 | LR 0.0000100000 | Loss 0.006900 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:16 Epoch 4 | Batch 986/2891 | Timestep 12550 | LR 0.0000100000 | Loss 0.004774 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:18 Epoch 4 | Batch 996/2891 | Timestep 12560 | LR 0.0000100000 | Loss 0.031900 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:20 Epoch 4 | Batch 1006/2891 | Timestep 12570 | LR 0.0000100000 | Loss 0.007498 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:23 Epoch 4 | Batch 1016/2891 | Timestep 12580 | LR 0.0000100000 | Loss 0.011312 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:25 Epoch 4 | Batch 1026/2891 | Timestep 12590 | LR 0.0000100000 | Loss 0.003888 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:27 Epoch 4 | Batch 1036/2891 | Timestep 12600 | LR 0.0000100000 | Loss 0.005800 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:30 Epoch 4 | Batch 1046/2891 | Timestep 12610 | LR 0.0000100000 | Loss 0.001990 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:32 Epoch 4 | Batch 1056/2891 | Timestep 12620 | LR 0.0000100000 | Loss 0.010693 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:35 Epoch 4 | Batch 1066/2891 | Timestep 12630 | LR 0.0000100000 | Loss 0.002223 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:36 Epoch 4 | Batch 1076/2891 | Timestep 12640 | LR 0.0000100000 | Loss 0.034936 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:39 Epoch 4 | Batch 1086/2891 | Timestep 12650 | LR 0.0000100000 | Loss 0.019049 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:41 Epoch 4 | Batch 1096/2891 | Timestep 12660 | LR 0.0000100000 | Loss 0.012119 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:43 Epoch 4 | Batch 1106/2891 | Timestep 12670 | LR 0.0000100000 | Loss 0.026278 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:44 Epoch 4 | Batch 1116/2891 | Timestep 12680 | LR 0.0000100000 | Loss 0.022792 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:46 Epoch 4 | Batch 1126/2891 | Timestep 12690 | LR 0.0000100000 | Loss 0.002480 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:49 Epoch 4 | Batch 1136/2891 | Timestep 12700 | LR 0.0000100000 | Loss 0.005405 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:51 Epoch 4 | Batch 1146/2891 | Timestep 12710 | LR 0.0000100000 | Loss 0.006920 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:53 Epoch 4 | Batch 1156/2891 | Timestep 12720 | LR 0.0000100000 | Loss 0.014391 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:55 Epoch 4 | Batch 1166/2891 | Timestep 12730 | LR 0.0000100000 | Loss 0.007609 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:00:57 Epoch 4 | Batch 1176/2891 | Timestep 12740 | LR 0.0000100000 | Loss 0.061809 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:00 Epoch 4 | Batch 1186/2891 | Timestep 12750 | LR 0.0000100000 | Loss 0.003357 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:02 Epoch 4 | Batch 1196/2891 | Timestep 12760 | LR 0.0000100000 | Loss 0.007728 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:05 Epoch 4 | Batch 1206/2891 | Timestep 12770 | LR 0.0000100000 | Loss 0.028818 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:08 Epoch 4 | Batch 1216/2891 | Timestep 12780 | LR 0.0000100000 | Loss 0.023364 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:10 Epoch 4 | Batch 1226/2891 | Timestep 12790 | LR 0.0000100000 | Loss 0.028326 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:12 Epoch 4 | Batch 1236/2891 | Timestep 12800 | LR 0.0000100000 | Loss 0.013207 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:15 Epoch 4 | Batch 1246/2891 | Timestep 12810 | LR 0.0000100000 | Loss 0.006093 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:17 Epoch 4 | Batch 1256/2891 | Timestep 12820 | LR 0.0000100000 | Loss 0.005634 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:19 Epoch 4 | Batch 1266/2891 | Timestep 12830 | LR 0.0000100000 | Loss 0.020745 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:21 Epoch 4 | Batch 1276/2891 | Timestep 12840 | LR 0.0000100000 | Loss 0.014424 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:23 Epoch 4 | Batch 1286/2891 | Timestep 12850 | LR 0.0000100000 | Loss 0.007754 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:25 Epoch 4 | Batch 1296/2891 | Timestep 12860 | LR 0.0000100000 | Loss 0.016077 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:27 Epoch 4 | Batch 1306/2891 | Timestep 12870 | LR 0.0000100000 | Loss 0.004308 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:29 Epoch 4 | Batch 1316/2891 | Timestep 12880 | LR 0.0000100000 | Loss 0.027983 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:31 Epoch 4 | Batch 1326/2891 | Timestep 12890 | LR 0.0000100000 | Loss 0.009770 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:34 Epoch 4 | Batch 1336/2891 | Timestep 12900 | LR 0.0000100000 | Loss 0.070819 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:36 Epoch 4 | Batch 1346/2891 | Timestep 12910 | LR 0.0000100000 | Loss 0.009319 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:38 Epoch 4 | Batch 1356/2891 | Timestep 12920 | LR 0.0000100000 | Loss 0.111402 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:40 Epoch 4 | Batch 1366/2891 | Timestep 12930 | LR 0.0000100000 | Loss 0.006378 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:42 Epoch 4 | Batch 1376/2891 | Timestep 12940 | LR 0.0000100000 | Loss 0.025585 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:44 Epoch 4 | Batch 1386/2891 | Timestep 12950 | LR 0.0000100000 | Loss 0.009710 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:46 Epoch 4 | Batch 1396/2891 | Timestep 12960 | LR 0.0000100000 | Loss 0.009627 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:48 Epoch 4 | Batch 1406/2891 | Timestep 12970 | LR 0.0000100000 | Loss 0.007847 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:50 Epoch 4 | Batch 1416/2891 | Timestep 12980 | LR 0.0000100000 | Loss 0.029757 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:53 Epoch 4 | Batch 1426/2891 | Timestep 12990 | LR 0.0000100000 | Loss 0.017910 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:55 Epoch 4 | Batch 1436/2891 | Timestep 13000 | LR 0.0000100000 | Loss 0.016150 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:56 Epoch 4 | Batch 1446/2891 | Timestep 13010 | LR 0.0000100000 | Loss 0.028935 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:01:58 Epoch 4 | Batch 1456/2891 | Timestep 13020 | LR 0.0000100000 | Loss 0.003629 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:01 Epoch 4 | Batch 1466/2891 | Timestep 13030 | LR 0.0000100000 | Loss 0.019336 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:03 Epoch 4 | Batch 1476/2891 | Timestep 13040 | LR 0.0000100000 | Loss 0.014409 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:05 Epoch 4 | Batch 1486/2891 | Timestep 13050 | LR 0.0000100000 | Loss 0.003833 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:07 Epoch 4 | Batch 1496/2891 | Timestep 13060 | LR 0.0000100000 | Loss 0.021285 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:09 Epoch 4 | Batch 1506/2891 | Timestep 13070 | LR 0.0000100000 | Loss 0.015177 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:11 Epoch 4 | Batch 1516/2891 | Timestep 13080 | LR 0.0000100000 | Loss 0.004801 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:13 Epoch 4 | Batch 1526/2891 | Timestep 13090 | LR 0.0000100000 | Loss 0.033173 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:16 Epoch 4 | Batch 1536/2891 | Timestep 13100 | LR 0.0000100000 | Loss 0.021730 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:18 Epoch 4 | Batch 1546/2891 | Timestep 13110 | LR 0.0000100000 | Loss 0.008875 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:20 Epoch 4 | Batch 1556/2891 | Timestep 13120 | LR 0.0000100000 | Loss 0.031447 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:23 Epoch 4 | Batch 1566/2891 | Timestep 13130 | LR 0.0000100000 | Loss 0.002462 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:25 Epoch 4 | Batch 1576/2891 | Timestep 13140 | LR 0.0000100000 | Loss 0.023873 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:27 Epoch 4 | Batch 1586/2891 | Timestep 13150 | LR 0.0000100000 | Loss 0.014165 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:29 Epoch 4 | Batch 1596/2891 | Timestep 13160 | LR 0.0000100000 | Loss 0.002631 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:32 Epoch 4 | Batch 1606/2891 | Timestep 13170 | LR 0.0000100000 | Loss 0.015798 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:34 Epoch 4 | Batch 1616/2891 | Timestep 13180 | LR 0.0000100000 | Loss 0.015319 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:37 Epoch 4 | Batch 1626/2891 | Timestep 13190 | LR 0.0000100000 | Loss 0.005130 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:39 Epoch 4 | Batch 1636/2891 | Timestep 13200 | LR 0.0000100000 | Loss 0.003829 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:40 Epoch 4 | Batch 1646/2891 | Timestep 13210 | LR 0.0000100000 | Loss 0.007035 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:43 Epoch 4 | Batch 1656/2891 | Timestep 13220 | LR 0.0000100000 | Loss 0.006390 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:45 Epoch 4 | Batch 1666/2891 | Timestep 13230 | LR 0.0000100000 | Loss 0.007938 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:47 Epoch 4 | Batch 1676/2891 | Timestep 13240 | LR 0.0000100000 | Loss 0.038596 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:49 Epoch 4 | Batch 1686/2891 | Timestep 13250 | LR 0.0000100000 | Loss 0.019196 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:51 Epoch 4 | Batch 1696/2891 | Timestep 13260 | LR 0.0000100000 | Loss 0.018653 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:53 Epoch 4 | Batch 1706/2891 | Timestep 13270 | LR 0.0000100000 | Loss 0.004201 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:55 Epoch 4 | Batch 1716/2891 | Timestep 13280 | LR 0.0000100000 | Loss 0.003669 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:02:57 Epoch 4 | Batch 1726/2891 | Timestep 13290 | LR 0.0000100000 | Loss 0.005010 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:00 Epoch 4 | Batch 1736/2891 | Timestep 13300 | LR 0.0000100000 | Loss 0.007834 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:02 Epoch 4 | Batch 1746/2891 | Timestep 13310 | LR 0.0000100000 | Loss 0.008437 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:04 Epoch 4 | Batch 1756/2891 | Timestep 13320 | LR 0.0000100000 | Loss 0.017043 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:06 Epoch 4 | Batch 1766/2891 | Timestep 13330 | LR 0.0000100000 | Loss 0.041236 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:09 Epoch 4 | Batch 1776/2891 | Timestep 13340 | LR 0.0000100000 | Loss 0.013440 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:11 Epoch 4 | Batch 1786/2891 | Timestep 13350 | LR 0.0000100000 | Loss 0.005804 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:13 Epoch 4 | Batch 1796/2891 | Timestep 13360 | LR 0.0000100000 | Loss 0.016647 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:15 Epoch 4 | Batch 1806/2891 | Timestep 13370 | LR 0.0000100000 | Loss 0.038224 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:18 Epoch 4 | Batch 1816/2891 | Timestep 13380 | LR 0.0000100000 | Loss 0.008764 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:20 Epoch 4 | Batch 1826/2891 | Timestep 13390 | LR 0.0000100000 | Loss 0.059943 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:22 Epoch 4 | Batch 1836/2891 | Timestep 13400 | LR 0.0000100000 | Loss 0.008561 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:24 Epoch 4 | Batch 1846/2891 | Timestep 13410 | LR 0.0000100000 | Loss 0.015152 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:26 Epoch 4 | Batch 1856/2891 | Timestep 13420 | LR 0.0000100000 | Loss 0.014372 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:28 Epoch 4 | Batch 1866/2891 | Timestep 13430 | LR 0.0000100000 | Loss 0.006240 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:30 Epoch 4 | Batch 1876/2891 | Timestep 13440 | LR 0.0000100000 | Loss 0.001753 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:32 Epoch 4 | Batch 1886/2891 | Timestep 13450 | LR 0.0000100000 | Loss 0.011324 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:35 Epoch 4 | Batch 1896/2891 | Timestep 13460 | LR 0.0000100000 | Loss 0.016429 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:37 Epoch 4 | Batch 1906/2891 | Timestep 13470 | LR 0.0000100000 | Loss 0.001451 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:39 Epoch 4 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| LR 0.0000100000 | Loss 0.001917 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:57 Epoch 4 | Batch 1996/2891 | Timestep 13560 | LR 0.0000100000 | Loss 0.084279 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:59 Epoch 4 | Batch 2006/2891 | Timestep 13570 | LR 0.0000100000 | Loss 0.020577 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:01 Epoch 4 | Batch 2016/2891 | Timestep 13580 | LR 0.0000100000 | Loss 0.028671 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:03 Epoch 4 | Batch 2026/2891 | Timestep 13590 | LR 0.0000100000 | Loss 0.005343 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:05 Epoch 4 | Batch 2036/2891 | Timestep 13600 | LR 0.0000100000 | Loss 0.002915 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:07 Epoch 4 | Batch 2046/2891 | Timestep 13610 | LR 0.0000100000 | Loss 0.007941 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:10 Epoch 4 | Batch 2056/2891 | Timestep 13620 | LR 0.0000100000 | Loss 0.036082 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:12 Epoch 4 | Batch 2066/2891 | Timestep 13630 | LR 0.0000100000 | Loss 0.022018 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:14 Epoch 4 | Batch 2076/2891 | Timestep 13640 | LR 0.0000100000 | Loss 0.017333 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:17 Epoch 4 | Batch 2086/2891 | Timestep 13650 | LR 0.0000100000 | Loss 0.003653 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:18 Epoch 4 | Batch 2096/2891 | Timestep 13660 | LR 0.0000100000 | Loss 0.015523 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:20 Epoch 4 | Batch 2106/2891 | Timestep 13670 | LR 0.0000100000 | Loss 0.025346 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:23 Epoch 4 | Batch 2116/2891 | Timestep 13680 | LR 0.0000100000 | Loss 0.004475 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:25 Epoch 4 | Batch 2126/2891 | Timestep 13690 | LR 0.0000100000 | Loss 0.012698 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:27 Epoch 4 | Batch 2136/2891 | Timestep 13700 | LR 0.0000100000 | Loss 0.029662 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:30 Epoch 4 | Batch 2146/2891 | Timestep 13710 | LR 0.0000100000 | Loss 0.025832 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:32 Epoch 4 | Batch 2156/2891 | Timestep 13720 | LR 0.0000100000 | Loss 0.010299 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:34 Epoch 4 | Batch 2166/2891 | Timestep 13730 | LR 0.0000100000 | Loss 0.025486 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:36 Epoch 4 | Batch 2176/2891 | Timestep 13740 | LR 0.0000100000 | Loss 0.043001 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:38 Epoch 4 | Batch 2186/2891 | Timestep 13750 | LR 0.0000100000 | Loss 0.036609 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:40 Epoch 4 | Batch 2196/2891 | Timestep 13760 | LR 0.0000100000 | Loss 0.010037 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:43 Epoch 4 | Batch 2206/2891 | Timestep 13770 | LR 0.0000100000 | Loss 0.003844 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:45 Epoch 4 | Batch 2216/2891 | Timestep 13780 | LR 0.0000100000 | Loss 0.006783 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:47 Epoch 4 | Batch 2226/2891 | Timestep 13790 | LR 0.0000100000 | Loss 0.003404 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:50 Epoch 4 | Batch 2236/2891 | Timestep 13800 | LR 0.0000100000 | Loss 0.006287 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:53 Epoch 4 | Batch 2246/2891 | Timestep 13810 | LR 0.0000100000 | Loss 0.004091 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:55 Epoch 4 | Batch 2256/2891 | Timestep 13820 | LR 0.0000100000 | Loss 0.012225 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:04:58 Epoch 4 | Batch 2266/2891 | Timestep 13830 | LR 0.0000100000 | Loss 0.028455 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:00 Epoch 4 | Batch 2276/2891 | Timestep 13840 | LR 0.0000100000 | Loss 0.007647 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:02 Epoch 4 | Batch 2286/2891 | Timestep 13850 | LR 0.0000100000 | Loss 0.026034 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:04 Epoch 4 | Batch 2296/2891 | Timestep 13860 | LR 0.0000100000 | Loss 0.004458 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:06 Epoch 4 | Batch 2306/2891 | Timestep 13870 | LR 0.0000100000 | Loss 0.009455 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:08 Epoch 4 | Batch 2316/2891 | Timestep 13880 | LR 0.0000100000 | Loss 0.006822 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:11 Epoch 4 | Batch 2326/2891 | Timestep 13890 | LR 0.0000100000 | Loss 0.091953 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:13 Epoch 4 | Batch 2336/2891 | Timestep 13900 | LR 0.0000100000 | Loss 0.017952 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:14 Epoch 4 | Batch 2346/2891 | Timestep 13910 | LR 0.0000100000 | Loss 0.009807 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:17 Epoch 4 | Batch 2356/2891 | Timestep 13920 | LR 0.0000100000 | Loss 0.001921 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:19 Epoch 4 | Batch 2366/2891 | Timestep 13930 | LR 0.0000100000 | Loss 0.011376 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:21 Epoch 4 | Batch 2376/2891 | Timestep 13940 | LR 0.0000100000 | Loss 0.069105 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:23 Epoch 4 | Batch 2386/2891 | Timestep 13950 | LR 0.0000100000 | Loss 0.009954 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:26 Epoch 4 | Batch 2396/2891 | Timestep 13960 | LR 0.0000100000 | Loss 0.009968 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:28 Epoch 4 | Batch 2406/2891 | Timestep 13970 | LR 0.0000100000 | Loss 0.022578 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:29 Epoch 4 | Batch 2416/2891 | Timestep 13980 | LR 0.0000100000 | Loss 0.023459 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:32 Epoch 4 | Batch 2426/2891 | Timestep 13990 | LR 0.0000100000 | Loss 0.003032 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:35 Epoch 4 | Batch 2436/2891 | Timestep 14000 | LR 0.0000100000 | Loss 0.017204 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:37 Epoch 4 | Batch 2446/2891 | Timestep 14010 | LR 0.0000100000 | Loss 0.021281 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:39 Epoch 4 | Batch 2456/2891 | Timestep 14020 | LR 0.0000100000 | Loss 0.013453 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:41 Epoch 4 | Batch 2466/2891 | Timestep 14030 | LR 0.0000100000 | Loss 0.024856 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:43 Epoch 4 | Batch 2476/2891 | Timestep 14040 | LR 0.0000100000 | Loss 0.028849 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:46 Epoch 4 | Batch 2486/2891 | Timestep 14050 | LR 0.0000100000 | Loss 0.099555 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:48 Epoch 4 | Batch 2496/2891 | Timestep 14060 | LR 0.0000100000 | Loss 0.009335 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:51 Epoch 4 | Batch 2506/2891 | Timestep 14070 | LR 0.0000100000 | Loss 0.009522 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:53 Epoch 4 | Batch 2516/2891 | Timestep 14080 | LR 0.0000100000 | Loss 0.005002 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:55 Epoch 4 | Batch 2526/2891 | Timestep 14090 | LR 0.0000100000 | Loss 0.009602 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:58 Epoch 4 | Batch 2536/2891 | Timestep 14100 | LR 0.0000100000 | Loss 0.010765 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:05:59 Epoch 4 | Batch 2546/2891 | Timestep 14110 | LR 0.0000100000 | Loss 0.017148 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:01 Epoch 4 | Batch 2556/2891 | Timestep 14120 | LR 0.0000100000 | Loss 0.024016 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:03 Epoch 4 | Batch 2566/2891 | Timestep 14130 | LR 0.0000100000 | Loss 0.011930 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:06 Epoch 4 | Batch 2576/2891 | Timestep 14140 | LR 0.0000100000 | Loss 0.025236 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:08 Epoch 4 | Batch 2586/2891 | Timestep 14150 | LR 0.0000100000 | Loss 0.006163 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:10 Epoch 4 | Batch 2596/2891 | Timestep 14160 | LR 0.0000100000 | Loss 0.005443 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:12 Epoch 4 | Batch 2606/2891 | Timestep 14170 | LR 0.0000100000 | Loss 0.100399 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:14 Epoch 4 | Batch 2616/2891 | Timestep 14180 | LR 0.0000100000 | Loss 0.007170 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:17 Epoch 4 | Batch 2626/2891 | Timestep 14190 | LR 0.0000100000 | Loss 0.003630 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:19 Epoch 4 | Batch 2636/2891 | Timestep 14200 | LR 0.0000100000 | Loss 0.016113 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:21 Epoch 4 | Batch 2646/2891 | Timestep 14210 | LR 0.0000100000 | Loss 0.008913 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:23 Epoch 4 | Batch 2656/2891 | Timestep 14220 | LR 0.0000100000 | Loss 0.005469 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:25 Epoch 4 | Batch 2666/2891 | Timestep 14230 | LR 0.0000100000 | Loss 0.000925 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:28 Epoch 4 | Batch 2676/2891 | Timestep 14240 | LR 0.0000100000 | Loss 0.009466 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:30 Epoch 4 | Batch 2686/2891 | Timestep 14250 | LR 0.0000100000 | Loss 0.002713 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:32 Epoch 4 | Batch 2696/2891 | Timestep 14260 | LR 0.0000100000 | Loss 0.002669 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:34 Epoch 4 | Batch 2706/2891 | Timestep 14270 | LR 0.0000100000 | Loss 0.081934 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:37 Epoch 4 | Batch 2716/2891 | Timestep 14280 | LR 0.0000100000 | Loss 0.008488 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:39 Epoch 4 | Batch 2726/2891 | Timestep 14290 | LR 0.0000100000 | Loss 0.006425 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:42 Epoch 4 | Batch 2736/2891 | Timestep 14300 | LR 0.0000100000 | Loss 0.005288 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:44 Epoch 4 | Batch 2746/2891 | Timestep 14310 | LR 0.0000100000 | Loss 0.014715 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:47 Epoch 4 | Batch 2756/2891 | Timestep 14320 | LR 0.0000100000 | Loss 0.046302 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:49 Epoch 4 | Batch 2766/2891 | Timestep 14330 | LR 0.0000100000 | Loss 0.004689 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:51 Epoch 4 | Batch 2776/2891 | Timestep 14340 | LR 0.0000100000 | Loss 0.032558 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:53 Epoch 4 | Batch 2786/2891 | Timestep 14350 | LR 0.0000100000 | Loss 0.013332 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:56 Epoch 4 | Batch 2796/2891 | Timestep 14360 | LR 0.0000100000 | Loss 0.028360 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:06:58 Epoch 4 | Batch 2806/2891 | Timestep 14370 | LR 0.0000100000 | Loss 0.005672 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:00 Epoch 4 | Batch 2816/2891 | Timestep 14380 | LR 0.0000100000 | Loss 0.013149 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:02 Epoch 4 | Batch 2826/2891 | Timestep 14390 | LR 0.0000100000 | Loss 0.011333 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:04 Epoch 4 | Batch 2836/2891 | Timestep 14400 | LR 0.0000100000 | Loss 0.002137 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:06 Epoch 4 | Batch 2846/2891 | Timestep 14410 | LR 0.0000100000 | Loss 0.017962 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:08 Epoch 4 | Batch 2856/2891 | Timestep 14420 | LR 0.0000100000 | Loss 0.054592 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:10 Epoch 4 | Batch 2866/2891 | Timestep 14430 | LR 0.0000100000 | Loss 0.009750 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:12 Epoch 4 | Batch 2876/2891 | Timestep 14440 | LR 0.0000100000 | Loss 0.006978 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:14 Epoch 4 | Batch 2886/2891 | Timestep 14450 | LR 0.0000100000 | Loss 0.017664 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:15 ** Evaluating on validation dataset ** INFO root Tue, 28 Oct 2025 18:07:37 precision recall f1-score support CARDINAL 0.8571 0.7765 0.8148 170 CURR 0.0000 0.0000 0.0000 2 DATE 0.9215 0.9290 0.9252 1592 EVENT 0.6158 0.7730 0.6855 282 FAC 0.5462 0.7717 0.6396 92 GPE 0.9047 0.8668 0.8853 1051 LANGUAGE 0.6842 0.8125 0.7429 16 LAW 0.7119 0.8936 0.7925 47 LOC 0.7160 0.7838 0.7484 74 MONEY 0.7692 0.9091 0.8333 22 NORP 0.6974 0.7441 0.7200 508 OCC 0.8321 0.8677 0.8495 514 ORDINAL 0.9321 0.9258 0.9290 445 ORG 0.8896 0.9246 0.9068 1578 PERCENT 0.7500 1.0000 0.8571 12 PERS 0.9615 0.9380 0.9496 613 PRODUCT 0.4000 0.2500 0.3077 8 QUANTITY 0.4000 0.6667 0.5000 3 TIME 0.6970 0.6970 0.6970 33 UNIT 0.0000 0.0000 0.0000 1 WEBSITE 0.5867 0.5500 0.5677 80 micro avg 0.8594 0.8816 0.8704 7143 macro avg 0.6606 0.7181 0.6834 7143 weighted avg 0.8645 0.8816 0.8720 7143 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:37 Epoch 4 | Timestep 14455 | Train Loss 0.016720 | Val Loss 0.041842 | F1 0.870352 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:38 Epoch 5 | Batch 5/2891 | Timestep 14460 | LR 0.0000100000 | Loss 0.013187 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:40 Epoch 5 | Batch 15/2891 | Timestep 14470 | LR 0.0000100000 | Loss 0.011258 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:42 Epoch 5 | Batch 25/2891 | Timestep 14480 | LR 0.0000100000 | Loss 0.029178 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:43 Epoch 5 | Batch 35/2891 | Timestep 14490 | LR 0.0000100000 | Loss 0.018065 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:45 Epoch 5 | Batch 45/2891 | Timestep 14500 | LR 0.0000100000 | Loss 0.003242 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:47 Epoch 5 | Batch 55/2891 | Timestep 14510 | LR 0.0000100000 | Loss 0.047318 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:48 Epoch 5 | Batch 65/2891 | Timestep 14520 | LR 0.0000100000 | Loss 0.002395 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:50 Epoch 5 | Batch 75/2891 | Timestep 14530 | LR 0.0000100000 | Loss 0.020911 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:52 Epoch 5 | Batch 85/2891 | Timestep 14540 | LR 0.0000100000 | Loss 0.006090 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:53 Epoch 5 | Batch 95/2891 | Timestep 14550 | LR 0.0000100000 | Loss 0.031763 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:55 Epoch 5 | Batch 105/2891 | Timestep 14560 | LR 0.0000100000 | Loss 0.013148 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:56 Epoch 5 | Batch 115/2891 | Timestep 14570 | LR 0.0000100000 | Loss 0.009274 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:07:58 Epoch 5 | Batch 125/2891 | Timestep 14580 | LR 0.0000100000 | Loss 0.015499 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:00 Epoch 5 | Batch 135/2891 | Timestep 14590 | LR 0.0000100000 | Loss 0.014295 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:01 Epoch 5 | Batch 145/2891 | Timestep 14600 | LR 0.0000100000 | Loss 0.009988 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:03 Epoch 5 | Batch 155/2891 | Timestep 14610 | LR 0.0000100000 | Loss 0.006873 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:04 Epoch 5 | Batch 165/2891 | Timestep 14620 | LR 0.0000100000 | Loss 0.012054 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:06 Epoch 5 | Batch 175/2891 | Timestep 14630 | LR 0.0000100000 | Loss 0.026060 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:07 Epoch 5 | Batch 185/2891 | Timestep 14640 | LR 0.0000100000 | Loss 0.010930 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:09 Epoch 5 | Batch 195/2891 | Timestep 14650 | LR 0.0000100000 | Loss 0.037749 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:11 Epoch 5 | Batch 205/2891 | Timestep 14660 | LR 0.0000100000 | Loss 0.008720 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:12 Epoch 5 | Batch 215/2891 | Timestep 14670 | LR 0.0000100000 | Loss 0.018355 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:14 Epoch 5 | Batch 225/2891 | Timestep 14680 | LR 0.0000100000 | Loss 0.006942 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:15 Epoch 5 | Batch 235/2891 | Timestep 14690 | LR 0.0000100000 | Loss 0.011989 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:18 Epoch 5 | Batch 245/2891 | Timestep 14700 | LR 0.0000100000 | Loss 0.005163 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:19 Epoch 5 | Batch 255/2891 | Timestep 14710 | LR 0.0000100000 | Loss 0.002310 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:21 Epoch 5 | Batch 265/2891 | Timestep 14720 | LR 0.0000100000 | Loss 0.038484 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:22 Epoch 5 | Batch 275/2891 | Timestep 14730 | LR 0.0000100000 | Loss 0.007145 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:23 Epoch 5 | Batch 285/2891 | Timestep 14740 | LR 0.0000100000 | Loss 0.004149 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:25 Epoch 5 | Batch 295/2891 | Timestep 14750 | LR 0.0000100000 | Loss 0.001111 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:27 Epoch 5 | Batch 305/2891 | Timestep 14760 | LR 0.0000100000 | Loss 0.003581 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:28 Epoch 5 | Batch 315/2891 | Timestep 14770 | LR 0.0000100000 | Loss 0.031783 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:30 Epoch 5 | Batch 325/2891 | Timestep 14780 | LR 0.0000100000 | Loss 0.032429 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:31 Epoch 5 | Batch 335/2891 | Timestep 14790 | LR 0.0000100000 | Loss 0.002283 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:33 Epoch 5 | Batch 345/2891 | Timestep 14800 | LR 0.0000100000 | Loss 0.043922 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:35 Epoch 5 | Batch 355/2891 | Timestep 14810 | LR 0.0000100000 | Loss 0.001622 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:36 Epoch 5 | Batch 365/2891 | Timestep 14820 | LR 0.0000100000 | Loss 0.013922 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:38 Epoch 5 | Batch 375/2891 | Timestep 14830 | LR 0.0000100000 | Loss 0.010334 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:40 Epoch 5 | Batch 385/2891 | Timestep 14840 | LR 0.0000100000 | Loss 0.026944 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:42 Epoch 5 | Batch 395/2891 | Timestep 14850 | LR 0.0000100000 | Loss 0.024637 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:43 Epoch 5 | Batch 405/2891 | Timestep 14860 | LR 0.0000100000 | Loss 0.005666 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:45 Epoch 5 | Batch 415/2891 | Timestep 14870 | LR 0.0000100000 | Loss 0.038689 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:46 Epoch 5 | Batch 425/2891 | Timestep 14880 | LR 0.0000100000 | Loss 0.001443 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:47 Epoch 5 | Batch 435/2891 | Timestep 14890 | LR 0.0000100000 | Loss 0.008136 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:49 Epoch 5 | Batch 445/2891 | Timestep 14900 | LR 0.0000100000 | Loss 0.013045 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:51 Epoch 5 | Batch 455/2891 | Timestep 14910 | LR 0.0000100000 | Loss 0.057352 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:52 Epoch 5 | Batch 465/2891 | Timestep 14920 | LR 0.0000100000 | Loss 0.011148 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:54 Epoch 5 | Batch 475/2891 | Timestep 14930 | LR 0.0000100000 | Loss 0.044799 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:56 Epoch 5 | Batch 485/2891 | Timestep 14940 | LR 0.0000100000 | Loss 0.015765 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:57 Epoch 5 | Batch 495/2891 | Timestep 14950 | LR 0.0000100000 | Loss 0.120856 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:08:59 Epoch 5 | Batch 505/2891 | Timestep 14960 | LR 0.0000100000 | Loss 0.014819 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:01 Epoch 5 | Batch 515/2891 | Timestep 14970 | LR 0.0000100000 | Loss 0.005959 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:02 Epoch 5 | Batch 525/2891 | Timestep 14980 | LR 0.0000100000 | Loss 0.003266 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:04 Epoch 5 | Batch 535/2891 | Timestep 14990 | LR 0.0000100000 | Loss 0.013739 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:05 Epoch 5 | Batch 545/2891 | Timestep 15000 | LR 0.0000100000 | Loss 0.008418 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:07 Epoch 5 | Batch 555/2891 | Timestep 15010 | LR 0.0000100000 | Loss 0.003663 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:08 Epoch 5 | Batch 565/2891 | Timestep 15020 | LR 0.0000100000 | Loss 0.010355 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:10 Epoch 5 | Batch 575/2891 | Timestep 15030 | LR 0.0000100000 | Loss 0.001567 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:12 Epoch 5 | Batch 585/2891 | Timestep 15040 | LR 0.0000100000 | Loss 0.000432 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:13 Epoch 5 | Batch 595/2891 | Timestep 15050 | LR 0.0000100000 | Loss 0.017587 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:14 Epoch 5 | Batch 605/2891 | Timestep 15060 | LR 0.0000100000 | Loss 0.005587 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:16 Epoch 5 | Batch 615/2891 | Timestep 15070 | LR 0.0000100000 | Loss 0.003704 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:17 Epoch 5 | Batch 625/2891 | Timestep 15080 | LR 0.0000100000 | Loss 0.003306 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:19 Epoch 5 | Batch 635/2891 | Timestep 15090 | LR 0.0000100000 | Loss 0.003806 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:20 Epoch 5 | Batch 645/2891 | Timestep 15100 | LR 0.0000100000 | Loss 0.040354 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:22 Epoch 5 | Batch 655/2891 | Timestep 15110 | LR 0.0000100000 | Loss 0.012183 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:24 Epoch 5 | Batch 665/2891 | Timestep 15120 | LR 0.0000100000 | Loss 0.004104 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:25 Epoch 5 | Batch 675/2891 | Timestep 15130 | LR 0.0000100000 | Loss 0.003878 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:27 Epoch 5 | Batch 685/2891 | Timestep 15140 | LR 0.0000100000 | Loss 0.006733 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:29 Epoch 5 | Batch 695/2891 | Timestep 15150 | LR 0.0000100000 | Loss 0.012476 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:30 Epoch 5 | Batch 705/2891 | Timestep 15160 | LR 0.0000100000 | Loss 0.004549 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:32 Epoch 5 | Batch 715/2891 | Timestep 15170 | LR 0.0000100000 | Loss 0.016474 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:34 Epoch 5 | Batch 725/2891 | Timestep 15180 | LR 0.0000100000 | Loss 0.007081 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:35 Epoch 5 | Batch 735/2891 | Timestep 15190 | LR 0.0000100000 | Loss 0.007171 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:37 Epoch 5 | Batch 745/2891 | Timestep 15200 | LR 0.0000100000 | Loss 0.004845 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:38 Epoch 5 | Batch 755/2891 | Timestep 15210 | LR 0.0000100000 | Loss 0.030953 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:39 Epoch 5 | Batch 765/2891 | Timestep 15220 | LR 0.0000100000 | Loss 0.001453 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:41 Epoch 5 | Batch 775/2891 | Timestep 15230 | LR 0.0000100000 | Loss 0.017823 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:42 Epoch 5 | Batch 785/2891 | Timestep 15240 | LR 0.0000100000 | Loss 0.010786 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:44 Epoch 5 | Batch 795/2891 | Timestep 15250 | LR 0.0000100000 | Loss 0.007597 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:45 Epoch 5 | Batch 805/2891 | Timestep 15260 | LR 0.0000100000 | Loss 0.017770 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:47 Epoch 5 | Batch 815/2891 | Timestep 15270 | LR 0.0000100000 | Loss 0.003303 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:49 Epoch 5 | Batch 825/2891 | Timestep 15280 | LR 0.0000100000 | Loss 0.008035 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:51 Epoch 5 | Batch 835/2891 | Timestep 15290 | LR 0.0000100000 | Loss 0.020900 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:52 Epoch 5 | Batch 845/2891 | Timestep 15300 | LR 0.0000100000 | Loss 0.007552 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:54 Epoch 5 | Batch 855/2891 | Timestep 15310 | LR 0.0000100000 | Loss 0.017754 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:56 Epoch 5 | Batch 865/2891 | Timestep 15320 | LR 0.0000100000 | Loss 0.014595 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:57 Epoch 5 | Batch 875/2891 | Timestep 15330 | LR 0.0000100000 | Loss 0.007854 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:09:59 Epoch 5 | Batch 885/2891 | Timestep 15340 | LR 0.0000100000 | Loss 0.005927 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:00 Epoch 5 | Batch 895/2891 | Timestep 15350 | LR 0.0000100000 | Loss 0.005385 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:02 Epoch 5 | Batch 905/2891 | Timestep 15360 | LR 0.0000100000 | Loss 0.018267 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:03 Epoch 5 | Batch 915/2891 | Timestep 15370 | LR 0.0000100000 | Loss 0.001134 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:05 Epoch 5 | Batch 925/2891 | Timestep 15380 | LR 0.0000100000 | Loss 0.007035 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:06 Epoch 5 | Batch 935/2891 | Timestep 15390 | LR 0.0000100000 | Loss 0.032268 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:08 Epoch 5 | Batch 945/2891 | Timestep 15400 | LR 0.0000100000 | Loss 0.019145 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:09 Epoch 5 | Batch 955/2891 | Timestep 15410 | LR 0.0000100000 | Loss 0.001762 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:11 Epoch 5 | Batch 965/2891 | Timestep 15420 | LR 0.0000100000 | Loss 0.029812 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:13 Epoch 5 | Batch 975/2891 | Timestep 15430 | LR 0.0000100000 | Loss 0.009615 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:14 Epoch 5 | Batch 985/2891 | Timestep 15440 | LR 0.0000100000 | Loss 0.001413 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:16 Epoch 5 | Batch 995/2891 | Timestep 15450 | LR 0.0000100000 | Loss 0.007928 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:17 Epoch 5 | Batch 1005/2891 | Timestep 15460 | LR 0.0000100000 | Loss 0.011513 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:19 Epoch 5 | Batch 1015/2891 | Timestep 15470 | LR 0.0000100000 | Loss 0.071788 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:20 Epoch 5 | Batch 1025/2891 | Timestep 15480 | LR 0.0000100000 | Loss 0.007585 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:22 Epoch 5 | Batch 1035/2891 | Timestep 15490 | LR 0.0000100000 | Loss 0.004613 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:24 Epoch 5 | Batch 1045/2891 | Timestep 15500 | LR 0.0000100000 | Loss 0.002398 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:25 Epoch 5 | Batch 1055/2891 | Timestep 15510 | LR 0.0000100000 | Loss 0.014315 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:27 Epoch 5 | Batch 1065/2891 | Timestep 15520 | LR 0.0000100000 | Loss 0.024944 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:28 Epoch 5 | Batch 1075/2891 | Timestep 15530 | LR 0.0000100000 | Loss 0.004574 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:30 Epoch 5 | Batch 1085/2891 | Timestep 15540 | LR 0.0000100000 | Loss 0.016614 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:31 Epoch 5 | Batch 1095/2891 | Timestep 15550 | LR 0.0000100000 | Loss 0.015094 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:33 Epoch 5 | Batch 1105/2891 | Timestep 15560 | LR 0.0000100000 | Loss 0.026378 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:35 Epoch 5 | Batch 1115/2891 | Timestep 15570 | LR 0.0000100000 | Loss 0.002993 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:36 Epoch 5 | Batch 1125/2891 | Timestep 15580 | LR 0.0000100000 | Loss 0.009881 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:38 Epoch 5 | Batch 1135/2891 | Timestep 15590 | LR 0.0000100000 | Loss 0.001053 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:39 Epoch 5 | Batch 1145/2891 | Timestep 15600 | LR 0.0000100000 | Loss 0.002093 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:41 Epoch 5 | Batch 1155/2891 | Timestep 15610 | LR 0.0000100000 | Loss 0.009074 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:43 Epoch 5 | Batch 1165/2891 | Timestep 15620 | LR 0.0000100000 | Loss 0.110798 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:45 Epoch 5 | Batch 1175/2891 | Timestep 15630 | LR 0.0000100000 | Loss 0.009130 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:47 Epoch 5 | Batch 1185/2891 | Timestep 15640 | LR 0.0000100000 | Loss 0.015702 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:48 Epoch 5 | Batch 1195/2891 | Timestep 15650 | LR 0.0000100000 | Loss 0.068388 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:50 Epoch 5 | Batch 1205/2891 | Timestep 15660 | LR 0.0000100000 | Loss 0.004674 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:52 Epoch 5 | Batch 1215/2891 | Timestep 15670 | LR 0.0000100000 | Loss 0.007030 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:55 Epoch 5 | Batch 1225/2891 | Timestep 15680 | LR 0.0000100000 | Loss 0.006530 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:56 Epoch 5 | Batch 1235/2891 | Timestep 15690 | LR 0.0000100000 | Loss 0.015188 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:10:58 Epoch 5 | Batch 1245/2891 | Timestep 15700 | LR 0.0000100000 | Loss 0.013875 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:00 Epoch 5 | Batch 1255/2891 | Timestep 15710 | LR 0.0000100000 | Loss 0.005669 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:02 Epoch 5 | Batch 1265/2891 | Timestep 15720 | LR 0.0000100000 | Loss 0.020182 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:04 Epoch 5 | Batch 1275/2891 | Timestep 15730 | LR 0.0000100000 | Loss 0.010251 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:06 Epoch 5 | Batch 1285/2891 | Timestep 15740 | LR 0.0000100000 | Loss 0.005267 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:09 Epoch 5 | Batch 1295/2891 | Timestep 15750 | LR 0.0000100000 | Loss 0.001344 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:10 Epoch 5 | Batch 1305/2891 | Timestep 15760 | LR 0.0000100000 | Loss 0.025503 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:13 Epoch 5 | Batch 1315/2891 | Timestep 15770 | LR 0.0000100000 | Loss 0.003795 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:14 Epoch 5 | Batch 1325/2891 | Timestep 15780 | LR 0.0000100000 | Loss 0.029160 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:16 Epoch 5 | Batch 1335/2891 | Timestep 15790 | LR 0.0000100000 | Loss 0.011855 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:18 Epoch 5 | Batch 1345/2891 | Timestep 15800 | LR 0.0000100000 | Loss 0.002607 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:20 Epoch 5 | Batch 1355/2891 | Timestep 15810 | LR 0.0000100000 | Loss 0.006620 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:21 Epoch 5 | Batch 1365/2891 | Timestep 15820 | LR 0.0000100000 | Loss 0.010594 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:23 Epoch 5 | Batch 1375/2891 | Timestep 15830 | LR 0.0000100000 | Loss 0.024655 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:26 Epoch 5 | Batch 1385/2891 | Timestep 15840 | LR 0.0000100000 | Loss 0.047779 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:28 Epoch 5 | Batch 1395/2891 | Timestep 15850 | LR 0.0000100000 | Loss 0.030877 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:29 Epoch 5 | Batch 1405/2891 | Timestep 15860 | LR 0.0000100000 | Loss 0.008400 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:31 Epoch 5 | Batch 1415/2891 | Timestep 15870 | LR 0.0000100000 | Loss 0.005084 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:33 Epoch 5 | Batch 1425/2891 | Timestep 15880 | LR 0.0000100000 | Loss 0.001653 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:34 Epoch 5 | Batch 1435/2891 | Timestep 15890 | LR 0.0000100000 | Loss 0.016871 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:36 Epoch 5 | Batch 1445/2891 | Timestep 15900 | LR 0.0000100000 | Loss 0.006336 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:38 Epoch 5 | Batch 1455/2891 | Timestep 15910 | LR 0.0000100000 | Loss 0.008711 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:40 Epoch 5 | Batch 1465/2891 | Timestep 15920 | LR 0.0000100000 | Loss 0.048681 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:42 Epoch 5 | Batch 1475/2891 | Timestep 15930 | LR 0.0000100000 | Loss 0.018472 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:44 Epoch 5 | Batch 1485/2891 | Timestep 15940 | LR 0.0000100000 | Loss 0.007589 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:45 Epoch 5 | Batch 1495/2891 | Timestep 15950 | LR 0.0000100000 | Loss 0.045333 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:47 Epoch 5 | Batch 1505/2891 | Timestep 15960 | LR 0.0000100000 | Loss 0.027105 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:49 Epoch 5 | Batch 1515/2891 | Timestep 15970 | LR 0.0000100000 | Loss 0.044025 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:51 Epoch 5 | Batch 1525/2891 | Timestep 15980 | LR 0.0000100000 | Loss 0.030272 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:53 Epoch 5 | Batch 1535/2891 | Timestep 15990 | LR 0.0000100000 | Loss 0.034196 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:55 Epoch 5 | Batch 1545/2891 | Timestep 16000 | LR 0.0000100000 | Loss 0.006767 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:57 Epoch 5 | Batch 1555/2891 | Timestep 16010 | LR 0.0000100000 | Loss 0.022860 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:11:59 Epoch 5 | Batch 1565/2891 | Timestep 16020 | LR 0.0000100000 | Loss 0.015583 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:01 Epoch 5 | Batch 1575/2891 | Timestep 16030 | LR 0.0000100000 | Loss 0.011522 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:03 Epoch 5 | Batch 1585/2891 | Timestep 16040 | LR 0.0000100000 | Loss 0.008574 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:05 Epoch 5 | Batch 1595/2891 | Timestep 16050 | LR 0.0000100000 | Loss 0.001270 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:07 Epoch 5 | Batch 1605/2891 | Timestep 16060 | LR 0.0000100000 | Loss 0.023410 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:09 Epoch 5 | Batch 1615/2891 | Timestep 16070 | LR 0.0000100000 | Loss 0.016295 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:11 Epoch 5 | Batch 1625/2891 | Timestep 16080 | LR 0.0000100000 | Loss 0.020620 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:13 Epoch 5 | Batch 1635/2891 | Timestep 16090 | LR 0.0000100000 | Loss 0.004978 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:15 Epoch 5 | Batch 1645/2891 | Timestep 16100 | LR 0.0000100000 | Loss 0.050616 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:17 Epoch 5 | Batch 1655/2891 | Timestep 16110 | LR 0.0000100000 | Loss 0.005385 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:19 Epoch 5 | Batch 1665/2891 | Timestep 16120 | LR 0.0000100000 | Loss 0.026475 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:21 Epoch 5 | Batch 1675/2891 | Timestep 16130 | LR 0.0000100000 | Loss 0.006307 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:23 Epoch 5 | Batch 1685/2891 | Timestep 16140 | LR 0.0000100000 | Loss 0.008478 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:25 Epoch 5 | Batch 1695/2891 | Timestep 16150 | LR 0.0000100000 | Loss 0.014419 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:27 Epoch 5 | Batch 1705/2891 | Timestep 16160 | LR 0.0000100000 | Loss 0.009630 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:29 Epoch 5 | Batch 1715/2891 | Timestep 16170 | LR 0.0000100000 | Loss 0.016236 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:31 Epoch 5 | Batch 1725/2891 | Timestep 16180 | LR 0.0000100000 | Loss 0.030713 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:33 Epoch 5 | Batch 1735/2891 | Timestep 16190 | LR 0.0000100000 | Loss 0.003302 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:35 Epoch 5 | Batch 1745/2891 | Timestep 16200 | LR 0.0000100000 | Loss 0.014518 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:37 Epoch 5 | Batch 1755/2891 | Timestep 16210 | LR 0.0000100000 | Loss 0.030534 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:39 Epoch 5 | Batch 1765/2891 | Timestep 16220 | LR 0.0000100000 | Loss 0.010561 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:41 Epoch 5 | Batch 1775/2891 | Timestep 16230 | LR 0.0000100000 | Loss 0.007750 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:43 Epoch 5 | Batch 1785/2891 | Timestep 16240 | LR 0.0000100000 | Loss 0.026280 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:45 Epoch 5 | Batch 1795/2891 | Timestep 16250 | LR 0.0000100000 | Loss 0.010152 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:47 Epoch 5 | Batch 1805/2891 | Timestep 16260 | LR 0.0000100000 | Loss 0.002384 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:49 Epoch 5 | Batch 1815/2891 | Timestep 16270 | LR 0.0000100000 | Loss 0.012660 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:51 Epoch 5 | Batch 1825/2891 | Timestep 16280 | LR 0.0000100000 | Loss 0.001116 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:53 Epoch 5 | Batch 1835/2891 | Timestep 16290 | LR 0.0000100000 | Loss 0.009734 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:56 Epoch 5 | Batch 1845/2891 | Timestep 16300 | LR 0.0000100000 | Loss 0.020224 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:12:58 Epoch 5 | Batch 1855/2891 | Timestep 16310 | LR 0.0000100000 | Loss 0.004461 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:00 Epoch 5 | Batch 1865/2891 | Timestep 16320 | LR 0.0000100000 | Loss 0.004332 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:01 Epoch 5 | Batch 1875/2891 | Timestep 16330 | LR 0.0000100000 | Loss 0.040222 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:04 Epoch 5 | Batch 1885/2891 | Timestep 16340 | LR 0.0000100000 | Loss 0.002351 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:06 Epoch 5 | Batch 1895/2891 | Timestep 16350 | LR 0.0000100000 | Loss 0.001844 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:08 Epoch 5 | Batch 1905/2891 | Timestep 16360 | LR 0.0000100000 | Loss 0.003088 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:10 Epoch 5 | Batch 1915/2891 | Timestep 16370 | LR 0.0000100000 | Loss 0.006749 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:12 Epoch 5 | Batch 1925/2891 | Timestep 16380 | LR 0.0000100000 | Loss 0.043117 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:13 Epoch 5 | Batch 1935/2891 | Timestep 16390 | LR 0.0000100000 | Loss 0.002330 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:15 Epoch 5 | Batch 1945/2891 | Timestep 16400 | LR 0.0000100000 | Loss 0.004564 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:17 Epoch 5 | Batch 1955/2891 | Timestep 16410 | LR 0.0000100000 | Loss 0.001486 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:19 Epoch 5 | Batch 1965/2891 | Timestep 16420 | LR 0.0000100000 | Loss 0.000745 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:21 Epoch 5 | Batch 1975/2891 | Timestep 16430 | LR 0.0000100000 | Loss 0.018836 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:24 Epoch 5 | Batch 1985/2891 | Timestep 16440 | LR 0.0000100000 | Loss 0.012019 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:26 Epoch 5 | Batch 1995/2891 | Timestep 16450 | LR 0.0000100000 | Loss 0.006212 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:28 Epoch 5 | Batch 2005/2891 | Timestep 16460 | LR 0.0000100000 | Loss 0.015140 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:30 Epoch 5 | Batch 2015/2891 | Timestep 16470 | LR 0.0000100000 | Loss 0.006224 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:32 Epoch 5 | Batch 2025/2891 | Timestep 16480 | LR 0.0000100000 | Loss 0.039572 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:34 Epoch 5 | Batch 2035/2891 | Timestep 16490 | LR 0.0000100000 | Loss 0.013819 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:36 Epoch 5 | Batch 2045/2891 | Timestep 16500 | LR 0.0000100000 | Loss 0.017101 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:38 Epoch 5 | Batch 2055/2891 | Timestep 16510 | LR 0.0000100000 | Loss 0.016212 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:40 Epoch 5 | Batch 2065/2891 | Timestep 16520 | LR 0.0000100000 | Loss 0.067920 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:42 Epoch 5 | Batch 2075/2891 | Timestep 16530 | LR 0.0000100000 | Loss 0.010905 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:44 Epoch 5 | Batch 2085/2891 | Timestep 16540 | LR 0.0000100000 | Loss 0.047146 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:46 Epoch 5 | Batch 2095/2891 | Timestep 16550 | LR 0.0000100000 | Loss 0.003877 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:48 Epoch 5 | Batch 2105/2891 | Timestep 16560 | LR 0.0000100000 | Loss 0.004569 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:50 Epoch 5 | Batch 2115/2891 | Timestep 16570 | LR 0.0000100000 | Loss 0.005156 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:52 Epoch 5 | Batch 2125/2891 | Timestep 16580 | LR 0.0000100000 | Loss 0.006139 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:53 Epoch 5 | Batch 2135/2891 | Timestep 16590 | LR 0.0000100000 | Loss 0.053613 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:55 Epoch 5 | Batch 2145/2891 | Timestep 16600 | LR 0.0000100000 | Loss 0.008021 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:57 Epoch 5 | Batch 2155/2891 | Timestep 16610 | LR 0.0000100000 | Loss 0.001182 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:13:59 Epoch 5 | Batch 2165/2891 | Timestep 16620 | LR 0.0000100000 | Loss 0.005192 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:01 Epoch 5 | Batch 2175/2891 | Timestep 16630 | LR 0.0000100000 | Loss 0.004394 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:03 Epoch 5 | Batch 2185/2891 | Timestep 16640 | LR 0.0000100000 | Loss 0.001504 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:05 Epoch 5 | Batch 2195/2891 | Timestep 16650 | LR 0.0000100000 | Loss 0.023473 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:07 Epoch 5 | Batch 2205/2891 | Timestep 16660 | LR 0.0000100000 | Loss 0.008197 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:09 Epoch 5 | Batch 2215/2891 | Timestep 16670 | LR 0.0000100000 | Loss 0.003774 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:11 Epoch 5 | Batch 2225/2891 | Timestep 16680 | LR 0.0000100000 | Loss 0.004062 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:13 Epoch 5 | Batch 2235/2891 | Timestep 16690 | LR 0.0000100000 | Loss 0.019335 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:14 Epoch 5 | Batch 2245/2891 | Timestep 16700 | LR 0.0000100000 | Loss 0.052305 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:16 Epoch 5 | Batch 2255/2891 | Timestep 16710 | LR 0.0000100000 | Loss 0.034086 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:18 Epoch 5 | Batch 2265/2891 | Timestep 16720 | LR 0.0000100000 | Loss 0.034837 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:20 Epoch 5 | Batch 2275/2891 | Timestep 16730 | LR 0.0000100000 | Loss 0.027060 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:22 Epoch 5 | Batch 2285/2891 | Timestep 16740 | LR 0.0000100000 | Loss 0.036165 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:24 Epoch 5 | Batch 2295/2891 | Timestep 16750 | LR 0.0000100000 | Loss 0.006872 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:26 Epoch 5 | Batch 2305/2891 | Timestep 16760 | LR 0.0000100000 | Loss 0.061275 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:28 Epoch 5 | Batch 2315/2891 | Timestep 16770 | LR 0.0000100000 | Loss 0.011731 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:30 Epoch 5 | Batch 2325/2891 | Timestep 16780 | LR 0.0000100000 | Loss 0.003227 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:32 Epoch 5 | Batch 2335/2891 | Timestep 16790 | LR 0.0000100000 | Loss 0.017220 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:34 Epoch 5 | Batch 2345/2891 | Timestep 16800 | LR 0.0000100000 | Loss 0.008316 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:36 Epoch 5 | Batch 2355/2891 | Timestep 16810 | LR 0.0000100000 | Loss 0.022837 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:38 Epoch 5 | Batch 2365/2891 | Timestep 16820 | LR 0.0000100000 | Loss 0.003205 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:40 Epoch 5 | Batch 2375/2891 | Timestep 16830 | LR 0.0000100000 | Loss 0.004841 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:42 Epoch 5 | Batch 2385/2891 | Timestep 16840 | LR 0.0000100000 | Loss 0.003896 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:44 Epoch 5 | Batch 2395/2891 | Timestep 16850 | LR 0.0000100000 | Loss 0.008311 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:46 Epoch 5 | Batch 2405/2891 | Timestep 16860 | LR 0.0000100000 | Loss 0.015346 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:49 Epoch 5 | Batch 2415/2891 | Timestep 16870 | LR 0.0000100000 | Loss 0.036261 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:51 Epoch 5 | Batch 2425/2891 | Timestep 16880 | LR 0.0000100000 | Loss 0.002916 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:53 Epoch 5 | Batch 2435/2891 | Timestep 16890 | LR 0.0000100000 | Loss 0.016281 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:55 Epoch 5 | Batch 2445/2891 | Timestep 16900 | LR 0.0000100000 | Loss 0.048819 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:57 Epoch 5 | Batch 2455/2891 | Timestep 16910 | LR 0.0000100000 | Loss 0.027751 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:14:58 Epoch 5 | Batch 2465/2891 | Timestep 16920 | LR 0.0000100000 | Loss 0.071668 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:01 Epoch 5 | Batch 2475/2891 | Timestep 16930 | LR 0.0000100000 | Loss 0.013334 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:03 Epoch 5 | Batch 2485/2891 | Timestep 16940 | LR 0.0000100000 | Loss 0.037133 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:05 Epoch 5 | Batch 2495/2891 | Timestep 16950 | LR 0.0000100000 | Loss 0.006738 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:07 Epoch 5 | Batch 2505/2891 | Timestep 16960 | LR 0.0000100000 | Loss 0.007418 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:09 Epoch 5 | Batch 2515/2891 | Timestep 16970 | LR 0.0000100000 | Loss 0.013420 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:11 Epoch 5 | Batch 2525/2891 | Timestep 16980 | LR 0.0000100000 | Loss 0.021967 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:13 Epoch 5 | Batch 2535/2891 | Timestep 16990 | LR 0.0000100000 | Loss 0.004165 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:16 Epoch 5 | Batch 2545/2891 | Timestep 17000 | LR 0.0000100000 | Loss 0.005313 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:17 Epoch 5 | Batch 2555/2891 | Timestep 17010 | LR 0.0000100000 | Loss 0.016169 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:20 Epoch 5 | Batch 2565/2891 | Timestep 17020 | LR 0.0000100000 | Loss 0.010292 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:22 Epoch 5 | Batch 2575/2891 | Timestep 17030 | LR 0.0000100000 | Loss 0.026889 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:24 Epoch 5 | Batch 2585/2891 | Timestep 17040 | LR 0.0000100000 | Loss 0.004503 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:25 Epoch 5 | Batch 2595/2891 | Timestep 17050 | LR 0.0000100000 | Loss 0.031953 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:27 Epoch 5 | Batch 2605/2891 | Timestep 17060 | LR 0.0000100000 | Loss 0.001238 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:29 Epoch 5 | Batch 2615/2891 | Timestep 17070 | LR 0.0000100000 | Loss 0.003110 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:31 Epoch 5 | Batch 2625/2891 | Timestep 17080 | LR 0.0000100000 | Loss 0.003535 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:33 Epoch 5 | Batch 2635/2891 | Timestep 17090 | LR 0.0000100000 | Loss 0.012287 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:35 Epoch 5 | Batch 2645/2891 | Timestep 17100 | LR 0.0000100000 | Loss 0.033350 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:37 Epoch 5 | Batch 2655/2891 | Timestep 17110 | LR 0.0000100000 | Loss 0.002914 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:39 Epoch 5 | Batch 2665/2891 | Timestep 17120 | LR 0.0000100000 | Loss 0.008824 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:41 Epoch 5 | Batch 2675/2891 | Timestep 17130 | LR 0.0000100000 | Loss 0.019285 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:43 Epoch 5 | Batch 2685/2891 | Timestep 17140 | LR 0.0000100000 | Loss 0.020363 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:45 Epoch 5 | Batch 2695/2891 | Timestep 17150 | LR 0.0000100000 | Loss 0.054757 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:47 Epoch 5 | Batch 2705/2891 | Timestep 17160 | LR 0.0000100000 | Loss 0.018819 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:49 Epoch 5 | Batch 2715/2891 | Timestep 17170 | LR 0.0000100000 | Loss 0.062453 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:51 Epoch 5 | Batch 2725/2891 | Timestep 17180 | LR 0.0000100000 | Loss 0.004223 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:53 Epoch 5 | Batch 2735/2891 | Timestep 17190 | LR 0.0000100000 | Loss 0.016410 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:55 Epoch 5 | Batch 2745/2891 | Timestep 17200 | LR 0.0000100000 | Loss 0.002269 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:57 Epoch 5 | Batch 2755/2891 | Timestep 17210 | LR 0.0000100000 | Loss 0.000961 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:15:59 Epoch 5 | Batch 2765/2891 | Timestep 17220 | LR 0.0000100000 | Loss 0.000850 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:01 Epoch 5 | Batch 2775/2891 | Timestep 17230 | LR 0.0000100000 | Loss 0.031519 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:03 Epoch 5 | Batch 2785/2891 | Timestep 17240 | LR 0.0000100000 | Loss 0.030139 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:05 Epoch 5 | Batch 2795/2891 | Timestep 17250 | LR 0.0000100000 | Loss 0.008325 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:07 Epoch 5 | Batch 2805/2891 | Timestep 17260 | LR 0.0000100000 | Loss 0.002566 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:09 Epoch 5 | Batch 2815/2891 | Timestep 17270 | LR 0.0000100000 | Loss 0.013344 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:11 Epoch 5 | Batch 2825/2891 | Timestep 17280 | LR 0.0000100000 | Loss 0.018722 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:13 Epoch 5 | Batch 2835/2891 | Timestep 17290 | LR 0.0000100000 | Loss 0.008877 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:15 Epoch 5 | Batch 2845/2891 | Timestep 17300 | LR 0.0000100000 | Loss 0.000759 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:18 Epoch 5 | Batch 2855/2891 | Timestep 17310 | LR 0.0000100000 | Loss 0.008954 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:19 Epoch 5 | Batch 2865/2891 | Timestep 17320 | LR 0.0000100000 | Loss 0.009945 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:21 Epoch 5 | Batch 2875/2891 | Timestep 17330 | LR 0.0000100000 | Loss 0.063583 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:23 Epoch 5 | Batch 2885/2891 | Timestep 17340 | LR 0.0000100000 | Loss 0.001481 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:24 ** Evaluating on validation dataset ** INFO root Tue, 28 Oct 2025 18:16:45 precision recall f1-score support CARDINAL 0.8562 0.8059 0.8303 170 CURR 0.0000 0.0000 0.0000 2 DATE 0.9228 0.9384 0.9306 1592 EVENT 0.7361 0.7518 0.7439 282 FAC 0.6460 0.7935 0.7122 92 GPE 0.8648 0.9248 0.8938 1051 LANGUAGE 0.6316 0.7500 0.6857 16 LAW 0.6724 0.8298 0.7429 47 LOC 0.7179 0.7568 0.7368 74 MONEY 0.8333 0.9091 0.8696 22 NORP 0.6852 0.7756 0.7276 508 OCC 0.8612 0.8813 0.8712 514 ORDINAL 0.9204 0.9348 0.9275 445 ORG 0.9152 0.9024 0.9087 1578 PERCENT 0.7500 1.0000 0.8571 12 PERS 0.9575 0.9560 0.9567 613 PRODUCT 0.3750 0.3750 0.3750 8 QUANTITY 0.4000 0.6667 0.5000 3 TIME 0.7812 0.7576 0.7692 33 UNIT 0.0000 0.0000 0.0000 1 WEBSITE 0.5854 0.6000 0.5926 80 micro avg 0.8681 0.8929 0.8803 7143 macro avg 0.6720 0.7290 0.6967 7143 weighted avg 0.8709 0.8929 0.8813 7143 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:46 Epoch 5 | Timestep 17346 | Train Loss 0.013463 | Val Loss 0.043066 | F1 0.880331 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:47 Epoch 6 | Batch 4/2891 | Timestep 17350 | LR 0.0000100000 | Loss 0.001908 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:49 Epoch 6 | Batch 14/2891 | Timestep 17360 | LR 0.0000100000 | Loss 0.001203 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:51 Epoch 6 | Batch 24/2891 | Timestep 17370 | LR 0.0000100000 | Loss 0.021199 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:53 Epoch 6 | Batch 34/2891 | Timestep 17380 | LR 0.0000100000 | Loss 0.005617 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:55 Epoch 6 | Batch 44/2891 | Timestep 17390 | LR 0.0000100000 | Loss 0.010135 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:57 Epoch 6 | Batch 54/2891 | Timestep 17400 | LR 0.0000100000 | Loss 0.008998 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:16:59 Epoch 6 | Batch 64/2891 | Timestep 17410 | LR 0.0000100000 | Loss 0.024832 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:01 Epoch 6 | Batch 74/2891 | Timestep 17420 | LR 0.0000100000 | Loss 0.006132 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:03 Epoch 6 | Batch 84/2891 | Timestep 17430 | LR 0.0000100000 | Loss 0.002057 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:06 Epoch 6 | Batch 94/2891 | Timestep 17440 | LR 0.0000100000 | Loss 0.019957 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:08 Epoch 6 | Batch 104/2891 | Timestep 17450 | LR 0.0000100000 | Loss 0.009920 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:10 Epoch 6 | Batch 114/2891 | Timestep 17460 | LR 0.0000100000 | Loss 0.076715 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:12 Epoch 6 | Batch 124/2891 | Timestep 17470 | LR 0.0000100000 | Loss 0.000503 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:14 Epoch 6 | Batch 134/2891 | Timestep 17480 | LR 0.0000100000 | Loss 0.005899 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:16 Epoch 6 | Batch 144/2891 | Timestep 17490 | LR 0.0000100000 | Loss 0.058205 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:18 Epoch 6 | Batch 154/2891 | Timestep 17500 | LR 0.0000100000 | Loss 0.000686 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:20 Epoch 6 | Batch 164/2891 | Timestep 17510 | LR 0.0000100000 | Loss 0.001863 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:23 Epoch 6 | Batch 174/2891 | Timestep 17520 | LR 0.0000100000 | Loss 0.006757 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:25 Epoch 6 | Batch 184/2891 | Timestep 17530 | LR 0.0000100000 | Loss 0.008897 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:27 Epoch 6 | Batch 194/2891 | Timestep 17540 | LR 0.0000100000 | Loss 0.000829 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:29 Epoch 6 | Batch 204/2891 | Timestep 17550 | LR 0.0000100000 | Loss 0.031425 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:31 Epoch 6 | Batch 214/2891 | Timestep 17560 | LR 0.0000100000 | Loss 0.001026 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:33 Epoch 6 | Batch 224/2891 | Timestep 17570 | LR 0.0000100000 | Loss 0.001345 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:35 Epoch 6 | Batch 234/2891 | Timestep 17580 | LR 0.0000100000 | Loss 0.010445 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:37 Epoch 6 | Batch 244/2891 | Timestep 17590 | LR 0.0000100000 | Loss 0.009551 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:40 Epoch 6 | Batch 254/2891 | Timestep 17600 | LR 0.0000100000 | Loss 0.009617 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:43 Epoch 6 | Batch 264/2891 | Timestep 17610 | LR 0.0000100000 | Loss 0.002672 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:45 Epoch 6 | Batch 274/2891 | Timestep 17620 | LR 0.0000100000 | Loss 0.003942 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:47 Epoch 6 | Batch 284/2891 | Timestep 17630 | LR 0.0000100000 | Loss 0.005943 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:48 Epoch 6 | Batch 294/2891 | Timestep 17640 | LR 0.0000100000 | Loss 0.020962 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:50 Epoch 6 | Batch 304/2891 | Timestep 17650 | LR 0.0000100000 | Loss 0.024031 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:52 Epoch 6 | Batch 314/2891 | Timestep 17660 | LR 0.0000100000 | Loss 0.006019 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:54 Epoch 6 | Batch 324/2891 | Timestep 17670 | LR 0.0000100000 | Loss 0.000796 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:57 Epoch 6 | Batch 334/2891 | Timestep 17680 | LR 0.0000100000 | Loss 0.004722 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:17:59 Epoch 6 | Batch 344/2891 | Timestep 17690 | LR 0.0000100000 | Loss 0.028549 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:01 Epoch 6 | Batch 354/2891 | Timestep 17700 | LR 0.0000100000 | Loss 0.008524 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:03 Epoch 6 | Batch 364/2891 | Timestep 17710 | LR 0.0000100000 | Loss 0.013488 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:06 Epoch 6 | Batch 374/2891 | Timestep 17720 | LR 0.0000100000 | Loss 0.011481 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:08 Epoch 6 | Batch 384/2891 | Timestep 17730 | LR 0.0000100000 | Loss 0.033414 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:10 Epoch 6 | Batch 394/2891 | Timestep 17740 | LR 0.0000100000 | Loss 0.000953 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:12 Epoch 6 | Batch 404/2891 | Timestep 17750 | LR 0.0000100000 | Loss 0.005367 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:14 Epoch 6 | Batch 414/2891 | Timestep 17760 | LR 0.0000100000 | Loss 0.008986 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:16 Epoch 6 | Batch 424/2891 | Timestep 17770 | LR 0.0000100000 | Loss 0.002533 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:18 Epoch 6 | Batch 434/2891 | Timestep 17780 | LR 0.0000100000 | Loss 0.002786 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:20 Epoch 6 | Batch 444/2891 | Timestep 17790 | LR 0.0000100000 | Loss 0.002864 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:22 Epoch 6 | Batch 454/2891 | Timestep 17800 | LR 0.0000100000 | Loss 0.004323 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:24 Epoch 6 | Batch 464/2891 | Timestep 17810 | LR 0.0000100000 | Loss 0.004407 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:26 Epoch 6 | Batch 474/2891 | Timestep 17820 | LR 0.0000100000 | Loss 0.010826 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:29 Epoch 6 | Batch 484/2891 | Timestep 17830 | LR 0.0000100000 | Loss 0.001357 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:30 Epoch 6 | Batch 494/2891 | Timestep 17840 | LR 0.0000100000 | Loss 0.002012 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:32 Epoch 6 | Batch 504/2891 | Timestep 17850 | LR 0.0000100000 | Loss 0.002536 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:35 Epoch 6 | Batch 514/2891 | Timestep 17860 | LR 0.0000100000 | Loss 0.007776 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:37 Epoch 6 | Batch 524/2891 | Timestep 17870 | LR 0.0000100000 | Loss 0.012419 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:39 Epoch 6 | Batch 534/2891 | Timestep 17880 | LR 0.0000100000 | Loss 0.004250 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:41 Epoch 6 | Batch 544/2891 | Timestep 17890 | LR 0.0000100000 | Loss 0.037806 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:43 Epoch 6 | Batch 554/2891 | Timestep 17900 | LR 0.0000100000 | Loss 0.002277 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:45 Epoch 6 | Batch 564/2891 | Timestep 17910 | LR 0.0000100000 | Loss 0.006953 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:47 Epoch 6 | Batch 574/2891 | Timestep 17920 | LR 0.0000100000 | Loss 0.000749 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:49 Epoch 6 | Batch 584/2891 | Timestep 17930 | LR 0.0000100000 | Loss 0.008505 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:51 Epoch 6 | Batch 594/2891 | Timestep 17940 | LR 0.0000100000 | Loss 0.002231 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:53 Epoch 6 | Batch 604/2891 | Timestep 17950 | LR 0.0000100000 | Loss 0.007743 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:56 Epoch 6 | Batch 614/2891 | Timestep 17960 | LR 0.0000100000 | Loss 0.003889 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:18:58 Epoch 6 | Batch 624/2891 | Timestep 17970 | LR 0.0000100000 | Loss 0.002353 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:00 Epoch 6 | Batch 634/2891 | Timestep 17980 | LR 0.0000100000 | Loss 0.003647 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:02 Epoch 6 | Batch 644/2891 | Timestep 17990 | LR 0.0000100000 | Loss 0.006564 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:04 Epoch 6 | Batch 654/2891 | Timestep 18000 | LR 0.0000100000 | Loss 0.002753 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:06 Epoch 6 | Batch 664/2891 | Timestep 18010 | LR 0.0000100000 | Loss 0.011736 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:08 Epoch 6 | Batch 674/2891 | Timestep 18020 | LR 0.0000100000 | Loss 0.001165 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:11 Epoch 6 | Batch 684/2891 | Timestep 18030 | LR 0.0000100000 | Loss 0.008241 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:13 Epoch 6 | Batch 694/2891 | Timestep 18040 | LR 0.0000100000 | Loss 0.007638 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:16 Epoch 6 | Batch 704/2891 | Timestep 18050 | LR 0.0000100000 | Loss 0.013426 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:17 Epoch 6 | Batch 714/2891 | Timestep 18060 | LR 0.0000100000 | Loss 0.003482 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:19 Epoch 6 | Batch 724/2891 | Timestep 18070 | LR 0.0000100000 | Loss 0.004392 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:21 Epoch 6 | Batch 734/2891 | Timestep 18080 | LR 0.0000100000 | Loss 0.001475 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:23 Epoch 6 | Batch 744/2891 | Timestep 18090 | LR 0.0000100000 | Loss 0.021920 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:25 Epoch 6 | Batch 754/2891 | Timestep 18100 | LR 0.0000100000 | Loss 0.001398 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:27 Epoch 6 | Batch 764/2891 | Timestep 18110 | LR 0.0000100000 | Loss 0.008903 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:30 Epoch 6 | Batch 774/2891 | Timestep 18120 | LR 0.0000100000 | Loss 0.004594 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:32 Epoch 6 | Batch 784/2891 | Timestep 18130 | LR 0.0000100000 | Loss 0.001775 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:34 Epoch 6 | Batch 794/2891 | Timestep 18140 | LR 0.0000100000 | Loss 0.016902 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:36 Epoch 6 | Batch 804/2891 | Timestep 18150 | LR 0.0000100000 | Loss 0.009017 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:38 Epoch 6 | Batch 814/2891 | Timestep 18160 | LR 0.0000100000 | Loss 0.010329 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:40 Epoch 6 | Batch 824/2891 | Timestep 18170 | LR 0.0000100000 | Loss 0.005668 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:42 Epoch 6 | Batch 834/2891 | Timestep 18180 | LR 0.0000100000 | Loss 0.013374 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:45 Epoch 6 | Batch 844/2891 | Timestep 18190 | LR 0.0000100000 | Loss 0.003536 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:47 Epoch 6 | Batch 854/2891 | Timestep 18200 | LR 0.0000100000 | Loss 0.008686 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:49 Epoch 6 | Batch 864/2891 | Timestep 18210 | LR 0.0000100000 | Loss 0.007661 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:51 Epoch 6 | Batch 874/2891 | Timestep 18220 | LR 0.0000100000 | Loss 0.003329 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:53 Epoch 6 | Batch 884/2891 | Timestep 18230 | LR 0.0000100000 | Loss 0.009282 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:56 Epoch 6 | Batch 894/2891 | Timestep 18240 | LR 0.0000100000 | Loss 0.006492 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:19:58 Epoch 6 | Batch 904/2891 | Timestep 18250 | LR 0.0000100000 | Loss 0.026099 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:00 Epoch 6 | Batch 914/2891 | Timestep 18260 | LR 0.0000100000 | Loss 0.001854 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:02 Epoch 6 | Batch 924/2891 | Timestep 18270 | LR 0.0000100000 | Loss 0.012956 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:04 Epoch 6 | Batch 934/2891 | Timestep 18280 | LR 0.0000100000 | Loss 0.050780 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:06 Epoch 6 | Batch 944/2891 | Timestep 18290 | LR 0.0000100000 | Loss 0.022393 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:08 Epoch 6 | Batch 954/2891 | Timestep 18300 | LR 0.0000100000 | Loss 0.001608 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:11 Epoch 6 | Batch 964/2891 | Timestep 18310 | LR 0.0000100000 | Loss 0.001841 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:13 Epoch 6 | Batch 974/2891 | Timestep 18320 | LR 0.0000100000 | Loss 0.009841 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:15 Epoch 6 | Batch 984/2891 | Timestep 18330 | LR 0.0000100000 | Loss 0.002141 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:17 Epoch 6 | Batch 994/2891 | Timestep 18340 | LR 0.0000100000 | Loss 0.007792 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:19 Epoch 6 | Batch 1004/2891 | Timestep 18350 | LR 0.0000100000 | Loss 0.004403 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:21 Epoch 6 | Batch 1014/2891 | Timestep 18360 | LR 0.0000100000 | Loss 0.015755 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:23 Epoch 6 | Batch 1024/2891 | Timestep 18370 | LR 0.0000100000 | Loss 0.013042 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:25 Epoch 6 | Batch 1034/2891 | Timestep 18380 | LR 0.0000100000 | Loss 0.002206 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:28 Epoch 6 | Batch 1044/2891 | Timestep 18390 | LR 0.0000100000 | Loss 0.008675 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:30 Epoch 6 | Batch 1054/2891 | Timestep 18400 | LR 0.0000100000 | Loss 0.002332 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:33 Epoch 6 | Batch 1064/2891 | Timestep 18410 | LR 0.0000100000 | Loss 0.000554 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:35 Epoch 6 | Batch 1074/2891 | Timestep 18420 | LR 0.0000100000 | Loss 0.001813 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:37 Epoch 6 | Batch 1084/2891 | Timestep 18430 | LR 0.0000100000 | Loss 0.002142 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:39 Epoch 6 | Batch 1094/2891 | Timestep 18440 | LR 0.0000100000 | Loss 0.005733 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:40 Epoch 6 | Batch 1104/2891 | Timestep 18450 | LR 0.0000100000 | Loss 0.068987 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:42 Epoch 6 | Batch 1114/2891 | Timestep 18460 | LR 0.0000100000 | Loss 0.020533 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:45 Epoch 6 | Batch 1124/2891 | Timestep 18470 | LR 0.0000100000 | Loss 0.001819 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:47 Epoch 6 | Batch 1134/2891 | Timestep 18480 | LR 0.0000100000 | Loss 0.011844 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:49 Epoch 6 | Batch 1144/2891 | Timestep 18490 | LR 0.0000100000 | Loss 0.002194 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:51 Epoch 6 | Batch 1154/2891 | Timestep 18500 | LR 0.0000100000 | Loss 0.001612 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:53 Epoch 6 | Batch 1164/2891 | Timestep 18510 | LR 0.0000100000 | Loss 0.001221 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:55 Epoch 6 | Batch 1174/2891 | Timestep 18520 | LR 0.0000100000 | Loss 0.024021 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:57 Epoch 6 | Batch 1184/2891 | Timestep 18530 | LR 0.0000100000 | Loss 0.019636 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:20:59 Epoch 6 | Batch 1194/2891 | Timestep 18540 | LR 0.0000100000 | Loss 0.004378 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:01 Epoch 6 | Batch 1204/2891 | Timestep 18550 | LR 0.0000100000 | Loss 0.002197 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:03 Epoch 6 | Batch 1214/2891 | Timestep 18560 | LR 0.0000100000 | Loss 0.001087 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:05 Epoch 6 | Batch 1224/2891 | Timestep 18570 | LR 0.0000100000 | Loss 0.088841 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:07 Epoch 6 | Batch 1234/2891 | Timestep 18580 | LR 0.0000100000 | Loss 0.019194 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:10 Epoch 6 | Batch 1244/2891 | Timestep 18590 | LR 0.0000100000 | Loss 0.021768 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:12 Epoch 6 | Batch 1254/2891 | Timestep 18600 | LR 0.0000100000 | Loss 0.025015 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:14 Epoch 6 | Batch 1264/2891 | Timestep 18610 | LR 0.0000100000 | Loss 0.000799 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:16 Epoch 6 | Batch 1274/2891 | Timestep 18620 | LR 0.0000100000 | Loss 0.035819 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:18 Epoch 6 | Batch 1284/2891 | Timestep 18630 | LR 0.0000100000 | Loss 0.019161 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:21 Epoch 6 | Batch 1294/2891 | Timestep 18640 | LR 0.0000100000 | Loss 0.035154 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:23 Epoch 6 | Batch 1304/2891 | Timestep 18650 | LR 0.0000100000 | Loss 0.003792 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:25 Epoch 6 | Batch 1314/2891 | Timestep 18660 | LR 0.0000100000 | Loss 0.009061 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:27 Epoch 6 | Batch 1324/2891 | Timestep 18670 | LR 0.0000100000 | Loss 0.017937 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:29 Epoch 6 | Batch 1334/2891 | Timestep 18680 | LR 0.0000100000 | Loss 0.018523 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:30 Epoch 6 | Batch 1344/2891 | Timestep 18690 | LR 0.0000100000 | Loss 0.006732 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:32 Epoch 6 | Batch 1354/2891 | Timestep 18700 | LR 0.0000100000 | Loss 0.019460 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:34 Epoch 6 | Batch 1364/2891 | Timestep 18710 | LR 0.0000100000 | Loss 0.009995 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:36 Epoch 6 | Batch 1374/2891 | Timestep 18720 | LR 0.0000100000 | Loss 0.006689 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:38 Epoch 6 | Batch 1384/2891 | Timestep 18730 | LR 0.0000100000 | Loss 0.003127 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:40 Epoch 6 | Batch 1394/2891 | Timestep 18740 | LR 0.0000100000 | Loss 0.012587 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:42 Epoch 6 | Batch 1404/2891 | Timestep 18750 | LR 0.0000100000 | Loss 0.003019 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:44 Epoch 6 | Batch 1414/2891 | Timestep 18760 | LR 0.0000100000 | Loss 0.006375 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:46 Epoch 6 | Batch 1424/2891 | Timestep 18770 | LR 0.0000100000 | Loss 0.000852 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:48 Epoch 6 | Batch 1434/2891 | Timestep 18780 | LR 0.0000100000 | Loss 0.003450 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:50 Epoch 6 | Batch 1444/2891 | Timestep 18790 | LR 0.0000100000 | Loss 0.003469 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:52 Epoch 6 | Batch 1454/2891 | Timestep 18800 | LR 0.0000100000 | Loss 0.006481 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:55 Epoch 6 | Batch 1464/2891 | Timestep 18810 | LR 0.0000100000 | Loss 0.000468 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:57 Epoch 6 | Batch 1474/2891 | Timestep 18820 | LR 0.0000100000 | Loss 0.008518 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:21:59 Epoch 6 | Batch 1484/2891 | Timestep 18830 | LR 0.0000100000 | Loss 0.001861 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:01 Epoch 6 | Batch 1494/2891 | Timestep 18840 | LR 0.0000100000 | Loss 0.028275 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:03 Epoch 6 | Batch 1504/2891 | Timestep 18850 | LR 0.0000100000 | Loss 0.001349 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:05 Epoch 6 | Batch 1514/2891 | Timestep 18860 | LR 0.0000100000 | Loss 0.000671 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:07 Epoch 6 | Batch 1524/2891 | Timestep 18870 | LR 0.0000100000 | Loss 0.042893 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:09 Epoch 6 | Batch 1534/2891 | Timestep 18880 | LR 0.0000100000 | Loss 0.006887 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:11 Epoch 6 | Batch 1544/2891 | Timestep 18890 | LR 0.0000100000 | Loss 0.005181 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:13 Epoch 6 | Batch 1554/2891 | Timestep 18900 | LR 0.0000100000 | Loss 0.028952 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:15 Epoch 6 | Batch 1564/2891 | Timestep 18910 | LR 0.0000100000 | Loss 0.002782 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:17 Epoch 6 | Batch 1574/2891 | Timestep 18920 | LR 0.0000100000 | Loss 0.001405 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:19 Epoch 6 | Batch 1584/2891 | Timestep 18930 | LR 0.0000100000 | Loss 0.001195 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:21 Epoch 6 | Batch 1594/2891 | Timestep 18940 | LR 0.0000100000 | Loss 0.018753 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:23 Epoch 6 | Batch 1604/2891 | Timestep 18950 | LR 0.0000100000 | Loss 0.019857 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:25 Epoch 6 | Batch 1614/2891 | Timestep 18960 | LR 0.0000100000 | Loss 0.014513 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:27 Epoch 6 | Batch 1624/2891 | Timestep 18970 | LR 0.0000100000 | Loss 0.008925 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:29 Epoch 6 | Batch 1634/2891 | Timestep 18980 | LR 0.0000100000 | Loss 0.003499 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:32 Epoch 6 | Batch 1644/2891 | Timestep 18990 | LR 0.0000100000 | Loss 0.004159 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:34 Epoch 6 | Batch 1654/2891 | Timestep 19000 | LR 0.0000100000 | Loss 0.002996 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:36 Epoch 6 | Batch 1664/2891 | Timestep 19010 | LR 0.0000100000 | Loss 0.000808 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:39 Epoch 6 | Batch 1674/2891 | Timestep 19020 | LR 0.0000100000 | Loss 0.011579 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:40 Epoch 6 | Batch 1684/2891 | Timestep 19030 | LR 0.0000100000 | Loss 0.002258 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:43 Epoch 6 | Batch 1694/2891 | Timestep 19040 | LR 0.0000100000 | Loss 0.000789 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:45 Epoch 6 | Batch 1704/2891 | Timestep 19050 | LR 0.0000100000 | Loss 0.000576 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:47 Epoch 6 | Batch 1714/2891 | Timestep 19060 | LR 0.0000100000 | Loss 0.023764 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:49 Epoch 6 | Batch 1724/2891 | Timestep 19070 | LR 0.0000100000 | Loss 0.003918 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:51 Epoch 6 | Batch 1734/2891 | Timestep 19080 | LR 0.0000100000 | Loss 0.001024 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:52 Epoch 6 | Batch 1744/2891 | Timestep 19090 | LR 0.0000100000 | Loss 0.009425 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:54 Epoch 6 | Batch 1754/2891 | Timestep 19100 | LR 0.0000100000 | Loss 0.005770 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:56 Epoch 6 | Batch 1764/2891 | Timestep 19110 | LR 0.0000100000 | Loss 0.011014 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:22:59 Epoch 6 | Batch 1774/2891 | Timestep 19120 | LR 0.0000100000 | Loss 0.009475 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:01 Epoch 6 | Batch 1784/2891 | Timestep 19130 | LR 0.0000100000 | Loss 0.000615 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:03 Epoch 6 | Batch 1794/2891 | Timestep 19140 | LR 0.0000100000 | Loss 0.001361 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:05 Epoch 6 | Batch 1804/2891 | Timestep 19150 | LR 0.0000100000 | Loss 0.064680 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:06 Epoch 6 | Batch 1814/2891 | Timestep 19160 | LR 0.0000100000 | Loss 0.011083 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:09 Epoch 6 | Batch 1824/2891 | Timestep 19170 | LR 0.0000100000 | Loss 0.001989 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:11 Epoch 6 | Batch 1834/2891 | Timestep 19180 | LR 0.0000100000 | Loss 0.005397 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:13 Epoch 6 | Batch 1844/2891 | Timestep 19190 | LR 0.0000100000 | Loss 0.000401 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:15 Epoch 6 | Batch 1854/2891 | Timestep 19200 | LR 0.0000100000 | Loss 0.002611 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:18 Epoch 6 | Batch 1864/2891 | Timestep 19210 | LR 0.0000100000 | Loss 0.008705 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:20 Epoch 6 | Batch 1874/2891 | Timestep 19220 | LR 0.0000100000 | Loss 0.007909 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:22 Epoch 6 | Batch 1884/2891 | Timestep 19230 | LR 0.0000100000 | Loss 0.031771 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:24 Epoch 6 | Batch 1894/2891 | Timestep 19240 | LR 0.0000100000 | Loss 0.001087 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:26 Epoch 6 | Batch 1904/2891 | Timestep 19250 | LR 0.0000100000 | Loss 0.002213 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:28 Epoch 6 | Batch 1914/2891 | Timestep 19260 | LR 0.0000100000 | Loss 0.034808 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:30 Epoch 6 | Batch 1924/2891 | Timestep 19270 | LR 0.0000100000 | Loss 0.002365 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:32 Epoch 6 | Batch 1934/2891 | Timestep 19280 | LR 0.0000100000 | Loss 0.074288 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:34 Epoch 6 | Batch 1944/2891 | Timestep 19290 | LR 0.0000100000 | Loss 0.023275 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:36 Epoch 6 | Batch 1954/2891 | Timestep 19300 | LR 0.0000100000 | Loss 0.000663 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:38 Epoch 6 | Batch 1964/2891 | Timestep 19310 | LR 0.0000100000 | Loss 0.000732 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:40 Epoch 6 | Batch 1974/2891 | Timestep 19320 | LR 0.0000100000 | Loss 0.015105 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:42 Epoch 6 | Batch 1984/2891 | Timestep 19330 | LR 0.0000100000 | Loss 0.008389 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:44 Epoch 6 | Batch 1994/2891 | Timestep 19340 | LR 0.0000100000 | Loss 0.003569 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:46 Epoch 6 | Batch 2004/2891 | Timestep 19350 | LR 0.0000100000 | Loss 0.004348 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:48 Epoch 6 | Batch 2014/2891 | Timestep 19360 | LR 0.0000100000 | Loss 0.004273 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:50 Epoch 6 | Batch 2024/2891 | Timestep 19370 | LR 0.0000100000 | Loss 0.002821 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:52 Epoch 6 | Batch 2034/2891 | Timestep 19380 | LR 0.0000100000 | Loss 0.010005 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:54 Epoch 6 | Batch 2044/2891 | Timestep 19390 | LR 0.0000100000 | Loss 0.001212 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:23:57 Epoch 6 | Batch 2054/2891 | Timestep 19400 | LR 0.0000100000 | Loss 0.001230 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:00 Epoch 6 | Batch 2064/2891 | Timestep 19410 | LR 0.0000100000 | Loss 0.003667 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:02 Epoch 6 | Batch 2074/2891 | Timestep 19420 | LR 0.0000100000 | Loss 0.003973 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:03 Epoch 6 | Batch 2084/2891 | Timestep 19430 | LR 0.0000100000 | Loss 0.009780 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:06 Epoch 6 | Batch 2094/2891 | Timestep 19440 | LR 0.0000100000 | Loss 0.015792 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:08 Epoch 6 | Batch 2104/2891 | Timestep 19450 | LR 0.0000100000 | Loss 0.000588 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:10 Epoch 6 | Batch 2114/2891 | Timestep 19460 | LR 0.0000100000 | Loss 0.014389 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:12 Epoch 6 | Batch 2124/2891 | Timestep 19470 | LR 0.0000100000 | Loss 0.003661 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:14 Epoch 6 | Batch 2134/2891 | Timestep 19480 | LR 0.0000100000 | Loss 0.011138 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:16 Epoch 6 | Batch 2144/2891 | Timestep 19490 | LR 0.0000100000 | Loss 0.005393 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:18 Epoch 6 | Batch 2154/2891 | Timestep 19500 | LR 0.0000100000 | Loss 0.014975 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:20 Epoch 6 | Batch 2164/2891 | Timestep 19510 | LR 0.0000100000 | Loss 0.013106 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:22 Epoch 6 | Batch 2174/2891 | Timestep 19520 | LR 0.0000100000 | Loss 0.011664 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:25 Epoch 6 | Batch 2184/2891 | Timestep 19530 | LR 0.0000100000 | Loss 0.010956 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:27 Epoch 6 | Batch 2194/2891 | Timestep 19540 | LR 0.0000100000 | Loss 0.043212 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:29 Epoch 6 | Batch 2204/2891 | Timestep 19550 | LR 0.0000100000 | Loss 0.010202 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:31 Epoch 6 | Batch 2214/2891 | Timestep 19560 | LR 0.0000100000 | Loss 0.002251 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:33 Epoch 6 | Batch 2224/2891 | Timestep 19570 | LR 0.0000100000 | Loss 0.004785 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:35 Epoch 6 | Batch 2234/2891 | Timestep 19580 | LR 0.0000100000 | Loss 0.008157 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:36 Epoch 6 | Batch 2244/2891 | Timestep 19590 | LR 0.0000100000 | Loss 0.015202 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:38 Epoch 6 | Batch 2254/2891 | Timestep 19600 | LR 0.0000100000 | Loss 0.011341 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:40 Epoch 6 | Batch 2264/2891 | Timestep 19610 | LR 0.0000100000 | Loss 0.000664 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:43 Epoch 6 | Batch 2274/2891 | Timestep 19620 | LR 0.0000100000 | Loss 0.024484 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:45 Epoch 6 | Batch 2284/2891 | Timestep 19630 | LR 0.0000100000 | Loss 0.006090 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:47 Epoch 6 | Batch 2294/2891 | Timestep 19640 | LR 0.0000100000 | Loss 0.001475 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:49 Epoch 6 | Batch 2304/2891 | Timestep 19650 | LR 0.0000100000 | Loss 0.009066 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:52 Epoch 6 | Batch 2314/2891 | Timestep 19660 | LR 0.0000100000 | Loss 0.001796 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:54 Epoch 6 | Batch 2324/2891 | Timestep 19670 | LR 0.0000100000 | Loss 0.000264 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:57 Epoch 6 | Batch 2334/2891 | Timestep 19680 | LR 0.0000100000 | Loss 0.004315 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:24:59 Epoch 6 | Batch 2344/2891 | Timestep 19690 | LR 0.0000100000 | Loss 0.032816 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:01 Epoch 6 | Batch 2354/2891 | Timestep 19700 | LR 0.0000100000 | Loss 0.018583 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:03 Epoch 6 | Batch 2364/2891 | Timestep 19710 | LR 0.0000100000 | Loss 0.003364 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:06 Epoch 6 | Batch 2374/2891 | Timestep 19720 | LR 0.0000100000 | Loss 0.005657 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:08 Epoch 6 | Batch 2384/2891 | Timestep 19730 | LR 0.0000100000 | Loss 0.001867 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:10 Epoch 6 | Batch 2394/2891 | Timestep 19740 | LR 0.0000100000 | Loss 0.001221 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:12 Epoch 6 | Batch 2404/2891 | Timestep 19750 | LR 0.0000100000 | Loss 0.002141 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:14 Epoch 6 | Batch 2414/2891 | Timestep 19760 | LR 0.0000100000 | Loss 0.001403 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:16 Epoch 6 | Batch 2424/2891 | Timestep 19770 | LR 0.0000100000 | Loss 0.001834 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:18 Epoch 6 | Batch 2434/2891 | Timestep 19780 | LR 0.0000100000 | Loss 0.004409 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:19 Epoch 6 | Batch 2444/2891 | Timestep 19790 | LR 0.0000100000 | Loss 0.001510 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:22 Epoch 6 | Batch 2454/2891 | Timestep 19800 | LR 0.0000100000 | Loss 0.018238 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:24 Epoch 6 | Batch 2464/2891 | Timestep 19810 | LR 0.0000100000 | Loss 0.006416 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:26 Epoch 6 | Batch 2474/2891 | Timestep 19820 | LR 0.0000100000 | Loss 0.032457 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:28 Epoch 6 | Batch 2484/2891 | Timestep 19830 | LR 0.0000100000 | Loss 0.002312 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:30 Epoch 6 | Batch 2494/2891 | Timestep 19840 | LR 0.0000100000 | Loss 0.005269 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:32 Epoch 6 | Batch 2504/2891 | Timestep 19850 | LR 0.0000100000 | Loss 0.016270 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:34 Epoch 6 | Batch 2514/2891 | Timestep 19860 | LR 0.0000100000 | Loss 0.001650 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:37 Epoch 6 | Batch 2524/2891 | Timestep 19870 | LR 0.0000100000 | Loss 0.016857 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:39 Epoch 6 | Batch 2534/2891 | Timestep 19880 | LR 0.0000100000 | Loss 0.002419 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:41 Epoch 6 | Batch 2544/2891 | Timestep 19890 | LR 0.0000100000 | Loss 0.002468 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:43 Epoch 6 | Batch 2554/2891 | Timestep 19900 | LR 0.0000100000 | Loss 0.004600 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:45 Epoch 6 | Batch 2564/2891 | Timestep 19910 | LR 0.0000100000 | Loss 0.003940 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:47 Epoch 6 | Batch 2574/2891 | Timestep 19920 | LR 0.0000100000 | Loss 0.001423 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:50 Epoch 6 | Batch 2584/2891 | Timestep 19930 | LR 0.0000100000 | Loss 0.037928 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:52 Epoch 6 | Batch 2594/2891 | Timestep 19940 | LR 0.0000100000 | Loss 0.003675 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:54 Epoch 6 | Batch 2604/2891 | Timestep 19950 | LR 0.0000100000 | Loss 0.013130 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:56 Epoch 6 | Batch 2614/2891 | Timestep 19960 | LR 0.0000100000 | Loss 0.007992 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:25:58 Epoch 6 | Batch 2624/2891 | Timestep 19970 | LR 0.0000100000 | Loss 0.001177 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:00 Epoch 6 | Batch 2634/2891 | Timestep 19980 | LR 0.0000100000 | Loss 0.006833 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:02 Epoch 6 | Batch 2644/2891 | Timestep 19990 | LR 0.0000100000 | Loss 0.003076 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:04 Epoch 6 | Batch 2654/2891 | Timestep 20000 | LR 0.0000100000 | Loss 0.001015 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:06 Epoch 6 | Batch 2664/2891 | Timestep 20010 | LR 0.0000100000 | Loss 0.012305 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:08 Epoch 6 | Batch 2674/2891 | Timestep 20020 | LR 0.0000100000 | Loss 0.014105 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:10 Epoch 6 | Batch 2684/2891 | Timestep 20030 | LR 0.0000100000 | Loss 0.004077 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:13 Epoch 6 | Batch 2694/2891 | Timestep 20040 | LR 0.0000100000 | Loss 0.023054 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:15 Epoch 6 | Batch 2704/2891 | Timestep 20050 | LR 0.0000100000 | Loss 0.005341 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:17 Epoch 6 | Batch 2714/2891 | Timestep 20060 | LR 0.0000100000 | Loss 0.007255 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:19 Epoch 6 | Batch 2724/2891 | Timestep 20070 | LR 0.0000100000 | Loss 0.020697 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:21 Epoch 6 | Batch 2734/2891 | Timestep 20080 | LR 0.0000100000 | Loss 0.008516 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:23 Epoch 6 | Batch 2744/2891 | Timestep 20090 | LR 0.0000100000 | Loss 0.014694 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:25 Epoch 6 | Batch 2754/2891 | Timestep 20100 | LR 0.0000100000 | Loss 0.000597 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:27 Epoch 6 | Batch 2764/2891 | Timestep 20110 | LR 0.0000100000 | Loss 0.008276 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:29 Epoch 6 | Batch 2774/2891 | Timestep 20120 | LR 0.0000100000 | Loss 0.012846 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:31 Epoch 6 | Batch 2784/2891 | Timestep 20130 | LR 0.0000100000 | Loss 0.001577 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:33 Epoch 6 | Batch 2794/2891 | Timestep 20140 | LR 0.0000100000 | Loss 0.014261 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:36 Epoch 6 | Batch 2804/2891 | Timestep 20150 | LR 0.0000100000 | Loss 0.011133 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:38 Epoch 6 | Batch 2814/2891 | Timestep 20160 | LR 0.0000100000 | Loss 0.008795 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:40 Epoch 6 | Batch 2824/2891 | Timestep 20170 | LR 0.0000100000 | Loss 0.000469 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:42 Epoch 6 | Batch 2834/2891 | Timestep 20180 | LR 0.0000100000 | Loss 0.002089 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:44 Epoch 6 | Batch 2844/2891 | Timestep 20190 | LR 0.0000100000 | Loss 0.018282 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:46 Epoch 6 | Batch 2854/2891 | Timestep 20200 | LR 0.0000100000 | Loss 0.000938 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:48 Epoch 6 | Batch 2864/2891 | Timestep 20210 | LR 0.0000100000 | Loss 0.008925 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:50 Epoch 6 | Batch 2874/2891 | Timestep 20220 | LR 0.0000100000 | Loss 0.003750 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:53 Epoch 6 | Batch 2884/2891 | Timestep 20230 | LR 0.0000100000 | Loss 0.002922 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:26:55 ** Evaluating on validation dataset ** INFO root Tue, 28 Oct 2025 18:27:17 precision recall f1-score support CARDINAL 0.8645 0.7882 0.8246 170 CURR 0.0000 0.0000 0.0000 2 DATE 0.9214 0.9347 0.9280 1592 EVENT 0.7473 0.7234 0.7351 282 FAC 0.6606 0.7826 0.7164 92 GPE 0.9137 0.8868 0.9000 1051 LANGUAGE 0.6190 0.8125 0.7027 16 LAW 0.6724 0.8298 0.7429 47 LOC 0.6867 0.7703 0.7261 74 MONEY 0.8696 0.9091 0.8889 22 NORP 0.6930 0.7598 0.7249 508 OCC 0.8613 0.8696 0.8654 514 ORDINAL 0.9167 0.9393 0.9279 445 ORG 0.8896 0.9392 0.9137 1578 PERCENT 0.7500 1.0000 0.8571 12 PERS 0.9424 0.9608 0.9515 613 PRODUCT 0.5000 0.5000 0.5000 8 QUANTITY 0.3333 0.6667 0.4444 3 TIME 0.8065 0.7576 0.7812 33 UNIT 0.0000 0.0000 0.0000 1 WEBSITE 0.5402 0.5875 0.5629 80 micro avg 0.8694 0.8919 0.8805 7143 macro avg 0.6756 0.7342 0.6997 7143 weighted avg 0.8715 0.8919 0.8811 7143 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:17 Epoch 6 | Timestep 20237 | Train Loss 0.010621 | Val Loss 0.047004 | F1 0.880520 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:18 Epoch 7 | Batch 3/2891 | Timestep 20240 | LR 0.0000100000 | Loss 0.009204 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:20 Epoch 7 | Batch 13/2891 | Timestep 20250 | LR 0.0000100000 | Loss 0.012206 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:22 Epoch 7 | Batch 23/2891 | Timestep 20260 | LR 0.0000100000 | Loss 0.036436 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:24 Epoch 7 | Batch 33/2891 | Timestep 20270 | LR 0.0000100000 | Loss 0.000913 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:26 Epoch 7 | Batch 43/2891 | Timestep 20280 | LR 0.0000100000 | Loss 0.002754 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:28 Epoch 7 | Batch 53/2891 | Timestep 20290 | LR 0.0000100000 | Loss 0.002278 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:30 Epoch 7 | Batch 63/2891 | Timestep 20300 | LR 0.0000100000 | Loss 0.010360 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:32 Epoch 7 | Batch 73/2891 | Timestep 20310 | LR 0.0000100000 | Loss 0.008676 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:35 Epoch 7 | Batch 83/2891 | Timestep 20320 | LR 0.0000100000 | Loss 0.001070 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:37 Epoch 7 | Batch 93/2891 | Timestep 20330 | LR 0.0000100000 | Loss 0.001047 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:39 Epoch 7 | Batch 103/2891 | Timestep 20340 | LR 0.0000100000 | Loss 0.013468 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:41 Epoch 7 | Batch 113/2891 | Timestep 20350 | LR 0.0000100000 | Loss 0.008607 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:43 Epoch 7 | Batch 123/2891 | Timestep 20360 | LR 0.0000100000 | Loss 0.002519 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:44 Epoch 7 | Batch 133/2891 | Timestep 20370 | LR 0.0000100000 | Loss 0.003882 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:46 Epoch 7 | Batch 143/2891 | Timestep 20380 | LR 0.0000100000 | Loss 0.002420 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:49 Epoch 7 | Batch 153/2891 | Timestep 20390 | LR 0.0000100000 | Loss 0.002023 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:51 Epoch 7 | Batch 163/2891 | Timestep 20400 | LR 0.0000100000 | Loss 0.001583 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:52 Epoch 7 | Batch 173/2891 | Timestep 20410 | LR 0.0000100000 | Loss 0.001131 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:54 Epoch 7 | Batch 183/2891 | Timestep 20420 | LR 0.0000100000 | Loss 0.002554 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:56 Epoch 7 | Batch 193/2891 | Timestep 20430 | LR 0.0000100000 | Loss 0.001478 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:27:58 Epoch 7 | Batch 203/2891 | Timestep 20440 | LR 0.0000100000 | Loss 0.008629 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:01 Epoch 7 | Batch 213/2891 | Timestep 20450 | LR 0.0000100000 | Loss 0.048617 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:02 Epoch 7 | Batch 223/2891 | Timestep 20460 | LR 0.0000100000 | Loss 0.015348 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:05 Epoch 7 | Batch 233/2891 | Timestep 20470 | LR 0.0000100000 | Loss 0.010873 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:07 Epoch 7 | Batch 243/2891 | Timestep 20480 | LR 0.0000100000 | Loss 0.003939 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:09 Epoch 7 | Batch 253/2891 | Timestep 20490 | LR 0.0000100000 | Loss 0.002250 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:11 Epoch 7 | Batch 263/2891 | Timestep 20500 | LR 0.0000100000 | Loss 0.000986 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:13 Epoch 7 | Batch 273/2891 | Timestep 20510 | LR 0.0000100000 | Loss 0.001665 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:15 Epoch 7 | Batch 283/2891 | Timestep 20520 | LR 0.0000100000 | Loss 0.014594 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:17 Epoch 7 | Batch 293/2891 | Timestep 20530 | LR 0.0000100000 | Loss 0.003304 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:20 Epoch 7 | Batch 303/2891 | Timestep 20540 | LR 0.0000100000 | Loss 0.040079 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:22 Epoch 7 | Batch 313/2891 | Timestep 20550 | LR 0.0000100000 | Loss 0.002197 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:24 Epoch 7 | Batch 323/2891 | Timestep 20560 | LR 0.0000100000 | Loss 0.002507 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:26 Epoch 7 | Batch 333/2891 | Timestep 20570 | LR 0.0000100000 | Loss 0.001511 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:29 Epoch 7 | Batch 343/2891 | Timestep 20580 | LR 0.0000100000 | Loss 0.002381 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:31 Epoch 7 | Batch 353/2891 | Timestep 20590 | LR 0.0000100000 | Loss 0.001558 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:33 Epoch 7 | Batch 363/2891 | Timestep 20600 | LR 0.0000100000 | Loss 0.007822 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:35 Epoch 7 | Batch 373/2891 | Timestep 20610 | LR 0.0000100000 | Loss 0.001965 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:37 Epoch 7 | Batch 383/2891 | Timestep 20620 | LR 0.0000100000 | Loss 0.058176 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:39 Epoch 7 | Batch 393/2891 | Timestep 20630 | LR 0.0000100000 | Loss 0.011107 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:42 Epoch 7 | Batch 403/2891 | Timestep 20640 | LR 0.0000100000 | Loss 0.003197 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:44 Epoch 7 | Batch 413/2891 | Timestep 20650 | LR 0.0000100000 | Loss 0.015759 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:46 Epoch 7 | Batch 423/2891 | Timestep 20660 | LR 0.0000100000 | Loss 0.007528 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:48 Epoch 7 | Batch 433/2891 | Timestep 20670 | LR 0.0000100000 | Loss 0.000837 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:50 Epoch 7 | Batch 443/2891 | Timestep 20680 | LR 0.0000100000 | Loss 0.028477 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:52 Epoch 7 | Batch 453/2891 | Timestep 20690 | LR 0.0000100000 | Loss 0.006655 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:54 Epoch 7 | Batch 463/2891 | Timestep 20700 | LR 0.0000100000 | Loss 0.004079 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:56 Epoch 7 | Batch 473/2891 | Timestep 20710 | LR 0.0000100000 | Loss 0.002890 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:28:58 Epoch 7 | Batch 483/2891 | Timestep 20720 | LR 0.0000100000 | Loss 0.003079 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:00 Epoch 7 | Batch 493/2891 | Timestep 20730 | LR 0.0000100000 | Loss 0.001329 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:02 Epoch 7 | Batch 503/2891 | Timestep 20740 | LR 0.0000100000 | Loss 0.001329 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:04 Epoch 7 | Batch 513/2891 | Timestep 20750 | LR 0.0000100000 | Loss 0.001443 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:06 Epoch 7 | Batch 523/2891 | Timestep 20760 | LR 0.0000100000 | Loss 0.007047 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:08 Epoch 7 | Batch 533/2891 | Timestep 20770 | LR 0.0000100000 | Loss 0.012118 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:10 Epoch 7 | Batch 543/2891 | Timestep 20780 | LR 0.0000100000 | Loss 0.004526 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:12 Epoch 7 | Batch 553/2891 | Timestep 20790 | LR 0.0000100000 | Loss 0.010645 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:15 Epoch 7 | Batch 563/2891 | Timestep 20800 | LR 0.0000100000 | Loss 0.009699 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:17 Epoch 7 | Batch 573/2891 | Timestep 20810 | LR 0.0000100000 | Loss 0.002454 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:19 Epoch 7 | Batch 583/2891 | Timestep 20820 | LR 0.0000100000 | Loss 0.001105 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:21 Epoch 7 | Batch 593/2891 | Timestep 20830 | LR 0.0000100000 | Loss 0.002998 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:23 Epoch 7 | Batch 603/2891 | Timestep 20840 | LR 0.0000100000 | Loss 0.001358 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:26 Epoch 7 | Batch 613/2891 | Timestep 20850 | LR 0.0000100000 | Loss 0.001989 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:28 Epoch 7 | Batch 623/2891 | Timestep 20860 | LR 0.0000100000 | Loss 0.005291 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:30 Epoch 7 | Batch 633/2891 | Timestep 20870 | LR 0.0000100000 | Loss 0.001808 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:32 Epoch 7 | Batch 643/2891 | Timestep 20880 | LR 0.0000100000 | Loss 0.016835 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:34 Epoch 7 | Batch 653/2891 | Timestep 20890 | LR 0.0000100000 | Loss 0.000121 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:36 Epoch 7 | Batch 663/2891 | Timestep 20900 | LR 0.0000100000 | Loss 0.001875 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:38 Epoch 7 | Batch 673/2891 | Timestep 20910 | LR 0.0000100000 | Loss 0.019330 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:40 Epoch 7 | Batch 683/2891 | Timestep 20920 | LR 0.0000100000 | Loss 0.039855 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:42 Epoch 7 | Batch 693/2891 | Timestep 20930 | LR 0.0000100000 | Loss 0.003354 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:45 Epoch 7 | Batch 703/2891 | Timestep 20940 | LR 0.0000100000 | Loss 0.000255 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:47 Epoch 7 | Batch 713/2891 | Timestep 20950 | LR 0.0000100000 | Loss 0.024541 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:49 Epoch 7 | Batch 723/2891 | Timestep 20960 | LR 0.0000100000 | Loss 0.001897 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:51 Epoch 7 | Batch 733/2891 | Timestep 20970 | LR 0.0000100000 | Loss 0.001815 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:54 Epoch 7 | Batch 743/2891 | Timestep 20980 | LR 0.0000100000 | Loss 0.000863 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:56 Epoch 7 | Batch 753/2891 | Timestep 20990 | LR 0.0000100000 | Loss 0.003748 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:29:58 Epoch 7 | Batch 763/2891 | Timestep 21000 | LR 0.0000100000 | Loss 0.003634 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:00 Epoch 7 | Batch 773/2891 | Timestep 21010 | LR 0.0000100000 | Loss 0.005078 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:02 Epoch 7 | Batch 783/2891 | Timestep 21020 | LR 0.0000100000 | Loss 0.000543 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:04 Epoch 7 | Batch 793/2891 | Timestep 21030 | LR 0.0000100000 | Loss 0.003111 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:06 Epoch 7 | Batch 803/2891 | Timestep 21040 | LR 0.0000100000 | Loss 0.023186 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:08 Epoch 7 | Batch 813/2891 | Timestep 21050 | LR 0.0000100000 | Loss 0.000423 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:10 Epoch 7 | Batch 823/2891 | Timestep 21060 | LR 0.0000100000 | Loss 0.013581 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:12 Epoch 7 | Batch 833/2891 | Timestep 21070 | LR 0.0000100000 | Loss 0.005872 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:15 Epoch 7 | Batch 843/2891 | Timestep 21080 | LR 0.0000100000 | Loss 0.003787 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:16 Epoch 7 | Batch 853/2891 | Timestep 21090 | LR 0.0000100000 | Loss 0.000869 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:19 Epoch 7 | Batch 863/2891 | Timestep 21100 | LR 0.0000100000 | Loss 0.003462 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:21 Epoch 7 | Batch 873/2891 | Timestep 21110 | LR 0.0000100000 | Loss 0.002159 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:23 Epoch 7 | Batch 883/2891 | Timestep 21120 | LR 0.0000100000 | Loss 0.004566 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:25 Epoch 7 | Batch 893/2891 | Timestep 21130 | LR 0.0000100000 | Loss 0.005762 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:28 Epoch 7 | Batch 903/2891 | Timestep 21140 | LR 0.0000100000 | Loss 0.015222 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:29 Epoch 7 | Batch 913/2891 | Timestep 21150 | LR 0.0000100000 | Loss 0.005137 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:32 Epoch 7 | Batch 923/2891 | Timestep 21160 | LR 0.0000100000 | Loss 0.019626 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:34 Epoch 7 | Batch 933/2891 | Timestep 21170 | LR 0.0000100000 | Loss 0.004282 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:36 Epoch 7 | Batch 943/2891 | Timestep 21180 | LR 0.0000100000 | Loss 0.001018 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:38 Epoch 7 | Batch 953/2891 | Timestep 21190 | LR 0.0000100000 | Loss 0.001084 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:40 Epoch 7 | Batch 963/2891 | Timestep 21200 | LR 0.0000100000 | Loss 0.006114 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:42 Epoch 7 | Batch 973/2891 | Timestep 21210 | LR 0.0000100000 | Loss 0.003262 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:44 Epoch 7 | Batch 983/2891 | Timestep 21220 | LR 0.0000100000 | Loss 0.001733 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:46 Epoch 7 | Batch 993/2891 | Timestep 21230 | LR 0.0000100000 | Loss 0.002295 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:49 Epoch 7 | Batch 1003/2891 | Timestep 21240 | LR 0.0000100000 | Loss 0.002880 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:51 Epoch 7 | Batch 1013/2891 | Timestep 21250 | LR 0.0000100000 | Loss 0.018437 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:53 Epoch 7 | Batch 1023/2891 | Timestep 21260 | LR 0.0000100000 | Loss 0.017316 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:55 Epoch 7 | Batch 1033/2891 | Timestep 21270 | LR 0.0000100000 | Loss 0.016268 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:57 Epoch 7 | Batch 1043/2891 | Timestep 21280 | LR 0.0000100000 | Loss 0.001383 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:30:59 Epoch 7 | Batch 1053/2891 | Timestep 21290 | LR 0.0000100000 | Loss 0.000595 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:01 Epoch 7 | Batch 1063/2891 | Timestep 21300 | LR 0.0000100000 | Loss 0.032183 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:04 Epoch 7 | Batch 1073/2891 | Timestep 21310 | LR 0.0000100000 | Loss 0.010750 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:05 Epoch 7 | Batch 1083/2891 | Timestep 21320 | LR 0.0000100000 | Loss 0.009260 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:08 Epoch 7 | Batch 1093/2891 | Timestep 21330 | LR 0.0000100000 | Loss 0.003784 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:10 Epoch 7 | Batch 1103/2891 | Timestep 21340 | LR 0.0000100000 | Loss 0.001062 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:12 Epoch 7 | Batch 1113/2891 | Timestep 21350 | LR 0.0000100000 | Loss 0.004110 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:14 Epoch 7 | Batch 1123/2891 | Timestep 21360 | LR 0.0000100000 | Loss 0.005881 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:16 Epoch 7 | Batch 1133/2891 | Timestep 21370 | LR 0.0000100000 | Loss 0.003054 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:19 Epoch 7 | Batch 1143/2891 | Timestep 21380 | LR 0.0000100000 | Loss 0.002291 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:22 Epoch 7 | Batch 1153/2891 | Timestep 21390 | LR 0.0000100000 | Loss 0.000896 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:24 Epoch 7 | Batch 1163/2891 | Timestep 21400 | LR 0.0000100000 | Loss 0.004369 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:26 Epoch 7 | Batch 1173/2891 | Timestep 21410 | LR 0.0000100000 | Loss 0.000425 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:28 Epoch 7 | Batch 1183/2891 | Timestep 21420 | LR 0.0000100000 | Loss 0.003109 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:30 Epoch 7 | Batch 1193/2891 | Timestep 21430 | LR 0.0000100000 | Loss 0.003704 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:32 Epoch 7 | Batch 1203/2891 | Timestep 21440 | LR 0.0000100000 | Loss 0.013428 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:34 Epoch 7 | Batch 1213/2891 | Timestep 21450 | LR 0.0000100000 | Loss 0.007048 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:37 Epoch 7 | Batch 1223/2891 | Timestep 21460 | LR 0.0000100000 | Loss 0.001967 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:39 Epoch 7 | Batch 1233/2891 | Timestep 21470 | LR 0.0000100000 | Loss 0.008891 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:41 Epoch 7 | Batch 1243/2891 | Timestep 21480 | LR 0.0000100000 | Loss 0.002385 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:43 Epoch 7 | Batch 1253/2891 | Timestep 21490 | LR 0.0000100000 | Loss 0.030804 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:45 Epoch 7 | Batch 1263/2891 | Timestep 21500 | LR 0.0000100000 | Loss 0.004592 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:48 Epoch 7 | Batch 1273/2891 | Timestep 21510 | LR 0.0000100000 | Loss 0.019909 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:50 Epoch 7 | Batch 1283/2891 | Timestep 21520 | LR 0.0000100000 | Loss 0.014361 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:53 Epoch 7 | Batch 1293/2891 | Timestep 21530 | LR 0.0000100000 | Loss 0.000720 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:55 Epoch 7 | Batch 1303/2891 | Timestep 21540 | LR 0.0000100000 | Loss 0.004012 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:31:57 Epoch 7 | Batch 1313/2891 | Timestep 21550 | LR 0.0000100000 | Loss 0.004155 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:00 Epoch 7 | Batch 1323/2891 | Timestep 21560 | LR 0.0000100000 | Loss 0.028612 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:02 Epoch 7 | Batch 1333/2891 | Timestep 21570 | LR 0.0000100000 | Loss 0.001128 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:04 Epoch 7 | Batch 1343/2891 | Timestep 21580 | LR 0.0000100000 | Loss 0.002556 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:07 Epoch 7 | Batch 1353/2891 | Timestep 21590 | LR 0.0000100000 | Loss 0.003856 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:09 Epoch 7 | Batch 1363/2891 | Timestep 21600 | LR 0.0000100000 | Loss 0.002519 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:11 Epoch 7 | Batch 1373/2891 | Timestep 21610 | LR 0.0000100000 | Loss 0.006847 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:13 Epoch 7 | Batch 1383/2891 | Timestep 21620 | LR 0.0000100000 | Loss 0.009296 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:15 Epoch 7 | Batch 1393/2891 | Timestep 21630 | LR 0.0000100000 | Loss 0.002422 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:17 Epoch 7 | Batch 1403/2891 | Timestep 21640 | LR 0.0000100000 | Loss 0.025210 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:19 Epoch 7 | Batch 1413/2891 | Timestep 21650 | LR 0.0000100000 | Loss 0.002177 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:21 Epoch 7 | Batch 1423/2891 | Timestep 21660 | LR 0.0000100000 | Loss 0.000657 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:23 Epoch 7 | Batch 1433/2891 | Timestep 21670 | LR 0.0000100000 | Loss 0.037342 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:25 Epoch 7 | Batch 1443/2891 | Timestep 21680 | LR 0.0000100000 | Loss 0.012462 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:27 Epoch 7 | Batch 1453/2891 | Timestep 21690 | LR 0.0000100000 | Loss 0.048822 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:29 Epoch 7 | Batch 1463/2891 | Timestep 21700 | LR 0.0000100000 | Loss 0.006402 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:31 Epoch 7 | Batch 1473/2891 | Timestep 21710 | LR 0.0000100000 | Loss 0.002455 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:34 Epoch 7 | Batch 1483/2891 | Timestep 21720 | LR 0.0000100000 | Loss 0.008639 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:36 Epoch 7 | Batch 1493/2891 | Timestep 21730 | LR 0.0000100000 | Loss 0.002617 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:38 Epoch 7 | Batch 1503/2891 | Timestep 21740 | LR 0.0000100000 | Loss 0.001871 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:40 Epoch 7 | Batch 1513/2891 | Timestep 21750 | LR 0.0000100000 | Loss 0.003586 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:42 Epoch 7 | Batch 1523/2891 | Timestep 21760 | LR 0.0000100000 | Loss 0.001025 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:45 Epoch 7 | Batch 1533/2891 | Timestep 21770 | LR 0.0000100000 | Loss 0.003050 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:48 Epoch 7 | Batch 1543/2891 | Timestep 21780 | LR 0.0000100000 | Loss 0.013747 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:49 Epoch 7 | Batch 1553/2891 | Timestep 21790 | LR 0.0000100000 | Loss 0.001480 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:52 Epoch 7 | Batch 1563/2891 | Timestep 21800 | LR 0.0000100000 | Loss 0.007247 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:54 Epoch 7 | Batch 1573/2891 | Timestep 21810 | LR 0.0000100000 | Loss 0.025362 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:56 Epoch 7 | Batch 1583/2891 | Timestep 21820 | LR 0.0000100000 | Loss 0.002665 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:32:58 Epoch 7 | Batch 1593/2891 | Timestep 21830 | LR 0.0000100000 | Loss 0.001528 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:00 Epoch 7 | Batch 1603/2891 | Timestep 21840 | LR 0.0000100000 | Loss 0.004300 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:02 Epoch 7 | Batch 1613/2891 | Timestep 21850 | LR 0.0000100000 | Loss 0.005111 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:05 Epoch 7 | Batch 1623/2891 | Timestep 21860 | LR 0.0000100000 | Loss 0.005125 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:07 Epoch 7 | Batch 1633/2891 | Timestep 21870 | LR 0.0000100000 | Loss 0.003746 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:09 Epoch 7 | Batch 1643/2891 | Timestep 21880 | LR 0.0000100000 | Loss 0.004016 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:11 Epoch 7 | Batch 1653/2891 | Timestep 21890 | LR 0.0000100000 | Loss 0.006666 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:14 Epoch 7 | Batch 1663/2891 | Timestep 21900 | LR 0.0000100000 | Loss 0.003813 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:16 Epoch 7 | Batch 1673/2891 | Timestep 21910 | LR 0.0000100000 | Loss 0.006452 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:19 Epoch 7 | Batch 1683/2891 | Timestep 21920 | LR 0.0000100000 | Loss 0.001284 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:21 Epoch 7 | Batch 1693/2891 | Timestep 21930 | LR 0.0000100000 | Loss 0.008391 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:24 Epoch 7 | Batch 1703/2891 | Timestep 21940 | LR 0.0000100000 | Loss 0.002890 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:27 Epoch 7 | Batch 1713/2891 | Timestep 21950 | LR 0.0000100000 | Loss 0.000363 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:29 Epoch 7 | Batch 1723/2891 | Timestep 21960 | LR 0.0000100000 | Loss 0.000657 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:31 Epoch 7 | Batch 1733/2891 | Timestep 21970 | LR 0.0000100000 | Loss 0.004615 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:34 Epoch 7 | Batch 1743/2891 | Timestep 21980 | LR 0.0000100000 | Loss 0.001310 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:37 Epoch 7 | Batch 1753/2891 | Timestep 21990 | LR 0.0000100000 | Loss 0.008201 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:39 Epoch 7 | Batch 1763/2891 | Timestep 22000 | LR 0.0000100000 | Loss 0.001889 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:41 Epoch 7 | Batch 1773/2891 | Timestep 22010 | LR 0.0000100000 | Loss 0.006218 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:43 Epoch 7 | Batch 1783/2891 | Timestep 22020 | LR 0.0000100000 | Loss 0.006636 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:46 Epoch 7 | Batch 1793/2891 | Timestep 22030 | LR 0.0000100000 | Loss 0.008647 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:48 Epoch 7 | Batch 1803/2891 | Timestep 22040 | LR 0.0000100000 | Loss 0.002187 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:51 Epoch 7 | Batch 1813/2891 | Timestep 22050 | LR 0.0000100000 | Loss 0.005067 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:53 Epoch 7 | Batch 1823/2891 | Timestep 22060 | LR 0.0000100000 | Loss 0.012172 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:55 Epoch 7 | Batch 1833/2891 | Timestep 22070 | LR 0.0000100000 | Loss 0.007984 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:57 Epoch 7 | Batch 1843/2891 | Timestep 22080 | LR 0.0000100000 | Loss 0.009454 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:33:59 Epoch 7 | Batch 1853/2891 | Timestep 22090 | LR 0.0000100000 | Loss 0.002418 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:01 Epoch 7 | Batch 1863/2891 | Timestep 22100 | LR 0.0000100000 | Loss 0.008227 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:03 Epoch 7 | Batch 1873/2891 | Timestep 22110 | LR 0.0000100000 | Loss 0.000791 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:05 Epoch 7 | Batch 1883/2891 | Timestep 22120 | LR 0.0000100000 | Loss 0.008667 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:08 Epoch 7 | Batch 1893/2891 | Timestep 22130 | LR 0.0000100000 | Loss 0.001577 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:10 Epoch 7 | Batch 1903/2891 | Timestep 22140 | LR 0.0000100000 | Loss 0.002205 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:12 Epoch 7 | Batch 1913/2891 | Timestep 22150 | LR 0.0000100000 | Loss 0.010095 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:14 Epoch 7 | Batch 1923/2891 | Timestep 22160 | LR 0.0000100000 | Loss 0.005817 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:16 Epoch 7 | Batch 1933/2891 | Timestep 22170 | LR 0.0000100000 | Loss 0.000654 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:19 Epoch 7 | Batch 1943/2891 | Timestep 22180 | LR 0.0000100000 | Loss 0.004529 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:21 Epoch 7 | Batch 1953/2891 | Timestep 22190 | LR 0.0000100000 | Loss 0.004978 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:23 Epoch 7 | Batch 1963/2891 | Timestep 22200 | LR 0.0000100000 | Loss 0.006645 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:25 Epoch 7 | Batch 1973/2891 | Timestep 22210 | LR 0.0000100000 | Loss 0.005092 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:27 Epoch 7 | Batch 1983/2891 | Timestep 22220 | LR 0.0000100000 | Loss 0.008198 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:29 Epoch 7 | Batch 1993/2891 | Timestep 22230 | LR 0.0000100000 | Loss 0.016037 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:31 Epoch 7 | Batch 2003/2891 | Timestep 22240 | LR 0.0000100000 | Loss 0.012919 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:34 Epoch 7 | Batch 2013/2891 | Timestep 22250 | LR 0.0000100000 | Loss 0.007178 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:36 Epoch 7 | Batch 2023/2891 | Timestep 22260 | LR 0.0000100000 | Loss 0.001554 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:38 Epoch 7 | Batch 2033/2891 | Timestep 22270 | LR 0.0000100000 | Loss 0.014704 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:40 Epoch 7 | Batch 2043/2891 | Timestep 22280 | LR 0.0000100000 | Loss 0.002805 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:43 Epoch 7 | Batch 2053/2891 | Timestep 22290 | LR 0.0000100000 | Loss 0.006758 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:45 Epoch 7 | Batch 2063/2891 | Timestep 22300 | LR 0.0000100000 | Loss 0.032302 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:46 Epoch 7 | Batch 2073/2891 | Timestep 22310 | LR 0.0000100000 | Loss 0.014309 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:48 Epoch 7 | Batch 2083/2891 | Timestep 22320 | LR 0.0000100000 | Loss 0.005215 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:51 Epoch 7 | Batch 2093/2891 | Timestep 22330 | LR 0.0000100000 | Loss 0.016809 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:53 Epoch 7 | Batch 2103/2891 | Timestep 22340 | LR 0.0000100000 | Loss 0.002212 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:55 Epoch 7 | Batch 2113/2891 | Timestep 22350 | LR 0.0000100000 | Loss 0.016923 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:34:58 Epoch 7 | Batch 2123/2891 | Timestep 22360 | LR 0.0000100000 | Loss 0.000850 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:00 Epoch 7 | Batch 2133/2891 | Timestep 22370 | LR 0.0000100000 | Loss 0.008539 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:02 Epoch 7 | Batch 2143/2891 | Timestep 22380 | LR 0.0000100000 | Loss 0.001948 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:04 Epoch 7 | Batch 2153/2891 | Timestep 22390 | LR 0.0000100000 | Loss 0.013510 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:06 Epoch 7 | Batch 2163/2891 | Timestep 22400 | LR 0.0000100000 | Loss 0.030827 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:08 Epoch 7 | Batch 2173/2891 | Timestep 22410 | LR 0.0000100000 | Loss 0.065447 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:10 Epoch 7 | Batch 2183/2891 | Timestep 22420 | LR 0.0000100000 | Loss 0.006423 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:13 Epoch 7 | Batch 2193/2891 | Timestep 22430 | LR 0.0000100000 | Loss 0.002875 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:15 Epoch 7 | Batch 2203/2891 | Timestep 22440 | LR 0.0000100000 | Loss 0.007507 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:17 Epoch 7 | Batch 2213/2891 | Timestep 22450 | LR 0.0000100000 | Loss 0.000779 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:19 Epoch 7 | Batch 2223/2891 | Timestep 22460 | LR 0.0000100000 | Loss 0.000383 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:21 Epoch 7 | Batch 2233/2891 | Timestep 22470 | LR 0.0000100000 | Loss 0.001168 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:23 Epoch 7 | Batch 2243/2891 | Timestep 22480 | LR 0.0000100000 | Loss 0.004658 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:25 Epoch 7 | Batch 2253/2891 | Timestep 22490 | LR 0.0000100000 | Loss 0.006943 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:27 Epoch 7 | Batch 2263/2891 | Timestep 22500 | LR 0.0000100000 | Loss 0.010420 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:29 Epoch 7 | Batch 2273/2891 | Timestep 22510 | LR 0.0000100000 | Loss 0.003305 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:31 Epoch 7 | Batch 2283/2891 | Timestep 22520 | LR 0.0000100000 | Loss 0.000313 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:33 Epoch 7 | Batch 2293/2891 | Timestep 22530 | LR 0.0000100000 | Loss 0.008597 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:35 Epoch 7 | Batch 2303/2891 | Timestep 22540 | LR 0.0000100000 | Loss 0.006349 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:38 Epoch 7 | Batch 2313/2891 | Timestep 22550 | LR 0.0000100000 | Loss 0.011384 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:40 Epoch 7 | Batch 2323/2891 | Timestep 22560 | LR 0.0000100000 | Loss 0.001650 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:42 Epoch 7 | Batch 2333/2891 | Timestep 22570 | LR 0.0000100000 | Loss 0.021223 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:44 Epoch 7 | Batch 2343/2891 | Timestep 22580 | LR 0.0000100000 | Loss 0.010979 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:47 Epoch 7 | Batch 2353/2891 | Timestep 22590 | LR 0.0000100000 | Loss 0.000816 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:49 Epoch 7 | Batch 2363/2891 | Timestep 22600 | LR 0.0000100000 | Loss 0.018869 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:51 Epoch 7 | Batch 2373/2891 | Timestep 22610 | LR 0.0000100000 | Loss 0.003739 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:53 Epoch 7 | Batch 2383/2891 | Timestep 22620 | LR 0.0000100000 | Loss 0.003149 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:55 Epoch 7 | Batch 2393/2891 | Timestep 22630 | LR 0.0000100000 | Loss 0.000277 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:35:58 Epoch 7 | Batch 2403/2891 | Timestep 22640 | LR 0.0000100000 | Loss 0.001280 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:00 Epoch 7 | Batch 2413/2891 | Timestep 22650 | LR 0.0000100000 | Loss 0.047446 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:02 Epoch 7 | Batch 2423/2891 | Timestep 22660 | LR 0.0000100000 | Loss 0.006027 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:04 Epoch 7 | Batch 2433/2891 | Timestep 22670 | LR 0.0000100000 | Loss 0.001084 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:06 Epoch 7 | Batch 2443/2891 | Timestep 22680 | LR 0.0000100000 | Loss 0.001735 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:08 Epoch 7 | Batch 2453/2891 | Timestep 22690 | LR 0.0000100000 | Loss 0.004119 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:10 Epoch 7 | Batch 2463/2891 | Timestep 22700 | LR 0.0000100000 | Loss 0.005388 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:12 Epoch 7 | Batch 2473/2891 | Timestep 22710 | LR 0.0000100000 | Loss 0.002025 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:15 Epoch 7 | Batch 2483/2891 | Timestep 22720 | LR 0.0000100000 | Loss 0.004973 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:17 Epoch 7 | Batch 2493/2891 | Timestep 22730 | LR 0.0000100000 | Loss 0.016152 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:19 Epoch 7 | Batch 2503/2891 | Timestep 22740 | LR 0.0000100000 | Loss 0.033910 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:21 Epoch 7 | Batch 2513/2891 | Timestep 22750 | LR 0.0000100000 | Loss 0.017129 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:23 Epoch 7 | Batch 2523/2891 | Timestep 22760 | LR 0.0000100000 | Loss 0.025913 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:25 Epoch 7 | Batch 2533/2891 | Timestep 22770 | LR 0.0000100000 | Loss 0.019616 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:27 Epoch 7 | Batch 2543/2891 | Timestep 22780 | LR 0.0000100000 | Loss 0.031522 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:29 Epoch 7 | Batch 2553/2891 | Timestep 22790 | LR 0.0000100000 | Loss 0.002119 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:31 Epoch 7 | Batch 2563/2891 | Timestep 22800 | LR 0.0000100000 | Loss 0.000531 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:33 Epoch 7 | Batch 2573/2891 | Timestep 22810 | LR 0.0000100000 | Loss 0.000806 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:35 Epoch 7 | Batch 2583/2891 | Timestep 22820 | LR 0.0000100000 | Loss 0.010465 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:37 Epoch 7 | Batch 2593/2891 | Timestep 22830 | LR 0.0000100000 | Loss 0.001324 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:39 Epoch 7 | Batch 2603/2891 | Timestep 22840 | LR 0.0000100000 | Loss 0.020060 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:41 Epoch 7 | Batch 2613/2891 | Timestep 22850 | LR 0.0000100000 | Loss 0.005332 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:43 Epoch 7 | Batch 2623/2891 | Timestep 22860 | LR 0.0000100000 | Loss 0.001299 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:45 Epoch 7 | Batch 2633/2891 | Timestep 22870 | LR 0.0000100000 | Loss 0.012378 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:47 Epoch 7 | Batch 2643/2891 | Timestep 22880 | LR 0.0000100000 | Loss 0.002133 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:50 Epoch 7 | Batch 2653/2891 | Timestep 22890 | LR 0.0000100000 | Loss 0.040304 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:52 Epoch 7 | Batch 2663/2891 | Timestep 22900 | LR 0.0000100000 | Loss 0.006120 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:54 Epoch 7 | Batch 2673/2891 | Timestep 22910 | LR 0.0000100000 | Loss 0.009968 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:56 Epoch 7 | Batch 2683/2891 | Timestep 22920 | LR 0.0000100000 | Loss 0.001123 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:36:58 Epoch 7 | Batch 2693/2891 | Timestep 22930 | LR 0.0000100000 | Loss 0.042749 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:37:01 Epoch 7 | Batch 2703/2891 | Timestep 22940 | LR 0.0000100000 | Loss 0.016738 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:37:03 Epoch 7 | Batch 2713/2891 | Timestep 22950 | LR 0.0000100000 | Loss 0.007073 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:37:05 Epoch 7 | Batch 2723/2891 | Timestep 22960 | LR 0.0000100000 | Loss 0.006141 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:37:07 Epoch 7 | Batch 2733/2891 | Timestep 22970 | LR 0.0000100000 | Loss 0.013394 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:37:09 Epoch 7 | Batch 2743/2891 | Timestep 22980 | LR 0.0000100000 | Loss 0.013205 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:37:11 Epoch 7 | Batch 2753/2891 | Timestep 22990 | LR 0.0000100000 | Loss 0.014190 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:37:13 Epoch 7 | Batch 2763/2891 | Timestep 23000 | LR 0.0000100000 | Loss 0.001155 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:37:15 Epoch 7 | Batch 2773/2891 | Timestep 23010 | LR 0.0000100000 | Loss 0.000738 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:37:17 Epoch 7 | Batch 2783/2891 | Timestep 23020 | LR 0.0000100000 | Loss 0.005422 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:37:19 Epoch 7 | Batch 2793/2891 | Timestep 23030 | LR 0.0000100000 | Loss 0.011884 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:37:21 Epoch 7 | Batch 2803/2891 | Timestep 23040 | LR 0.0000100000 | Loss 0.003997 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:37:24 Epoch 7 | Batch 2813/2891 | Timestep 23050 | LR 0.0000100000 | Loss 0.006584 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:37:27 Epoch 7 | Batch 2823/2891 | Timestep 23060 | LR 0.0000100000 | Loss 0.002287 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:37:29 Epoch 7 | Batch 2833/2891 | Timestep 23070 | LR 0.0000100000 | Loss 0.007710 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:37:31 Epoch 7 | Batch 2843/2891 | Timestep 23080 | LR 0.0000100000 | Loss 0.000853 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:37:33 Epoch 7 | Batch 2853/2891 | Timestep 23090 | LR 0.0000100000 | Loss 0.011045 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:37:35 Epoch 7 | Batch 2863/2891 | Timestep 23100 | LR 0.0000100000 | Loss 0.001087 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:37:37 Epoch 7 | Batch 2873/2891 | Timestep 23110 | LR 0.0000100000 | Loss 0.009859 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:37:40 Epoch 7 | Batch 2883/2891 | Timestep 23120 | LR 0.0000100000 | Loss 0.002463 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:37:42 ** Evaluating on validation dataset ** INFO root Tue, 28 Oct 2025 18:38:04 precision recall f1-score support CARDINAL 0.8766 0.7941 0.8333 170 CURR 0.0000 0.0000 0.0000 2 DATE 0.9169 0.9359 0.9263 1592 EVENT 0.6171 0.7660 0.6835 282 FAC 0.6789 0.8043 0.7363 92 GPE 0.8710 0.9248 0.8971 1051 LANGUAGE 0.5909 0.8125 0.6842 16 LAW 0.7018 0.8511 0.7692 47 LOC 0.7037 0.7703 0.7355 74 MONEY 0.7500 0.9545 0.8400 22 NORP 0.6824 0.7697 0.7234 508 OCC 0.8539 0.8755 0.8646 514 ORDINAL 0.9367 0.9303 0.9335 445 ORG 0.8918 0.9189 0.9051 1578 PERCENT 0.7500 1.0000 0.8571 12 PERS 0.9545 0.9592 0.9569 613 PRODUCT 0.5000 0.5000 0.5000 8 QUANTITY 0.4000 0.6667 0.5000 3 TIME 0.6047 0.7879 0.6842 33 UNIT 0.0000 0.0000 0.0000 1 WEBSITE 0.5658 0.5375 0.5513 80 micro avg 0.8560 0.8957 0.8754 7143 macro avg 0.6594 0.7409 0.6944 7143 weighted avg 0.8604 0.8957 0.8770 7143 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:38:04 Epoch 7 | Timestep 23128 | Train Loss 0.008832 | Val Loss 0.048954 | F1 0.875419 INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:38:04 Early termination triggered