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WojoodModel 1.0.8
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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 | Loss 0.230620
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:22 Epoch 0 | Batch 210/2891 | Timestep 210 | LR 0.0000100000 | Loss 0.369704
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:24 Epoch 0 | Batch 220/2891 | Timestep 220 | LR 0.0000100000 | Loss 0.195313
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:25 Epoch 0 | Batch 230/2891 | Timestep 230 | LR 0.0000100000 | Loss 0.313770
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:27 Epoch 0 | Batch 240/2891 | Timestep 240 | LR 0.0000100000 | Loss 0.256273
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:28 Epoch 0 | Batch 250/2891 | Timestep 250 | LR 0.0000100000 | Loss 0.303466
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:30 Epoch 0 | Batch 260/2891 | Timestep 260 | LR 0.0000100000 | Loss 0.328198
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:31 Epoch 0 | Batch 270/2891 | Timestep 270 | LR 0.0000100000 | Loss 0.223860
INFO arabiner.trainers.BertTrainer Tue, 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 | Timestep 350 | LR 0.0000100000 | Loss 0.359997
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:47 Epoch 0 | Batch 360/2891 | Timestep 360 | LR 0.0000100000 | Loss 0.189935
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:49 Epoch 0 | Batch 370/2891 | Timestep 370 | LR 0.0000100000 | Loss 0.271269
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:51 Epoch 0 | Batch 380/2891 | Timestep 380 | LR 0.0000100000 | Loss 0.214560
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:53 Epoch 0 | Batch 390/2891 | Timestep 390 | LR 0.0000100000 | Loss 0.113322
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:54 Epoch 0 | Batch 400/2891 | Timestep 400 | LR 0.0000100000 | Loss 0.357999
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:55 Epoch 0 | Batch 410/2891 | Timestep 410 | LR 0.0000100000 | Loss 0.223876
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:18:57 Epoch 0 | Batch 420/2891 | Timestep 420 | LR 0.0000100000 | Loss 0.092151
INFO 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 Epoch 0 | Batch 500/2891 | Timestep 500 | LR 0.0000100000 | Loss 0.191241
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:11 Epoch 0 | Batch 510/2891 | Timestep 510 | LR 0.0000100000 | Loss 0.136392
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:13 Epoch 0 | Batch 520/2891 | Timestep 520 | LR 0.0000100000 | Loss 0.167059
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:14 Epoch 0 | Batch 530/2891 | Timestep 530 | LR 0.0000100000 | Loss 0.102684
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:16 Epoch 0 | Batch 540/2891 | Timestep 540 | LR 0.0000100000 | Loss 0.108988
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:17 Epoch 0 | Batch 550/2891 | Timestep 550 | LR 0.0000100000 | Loss 0.161053
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:19 Epoch 0 | Batch 560/2891 | Timestep 560 | LR 0.0000100000 | Loss 0.172916
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:21 Epoch 0 | Batch 570/2891 | Timestep 570 | LR 0.0000100000 | Loss 0.101825
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:23 Epoch 0 | Batch 580/2891 | Timestep 580 | LR 0.0000100000 | Loss 0.157957
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:24 Epoch 0 | Batch 590/2891 | Timestep 590 | LR 0.0000100000 | Loss 0.261155
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:26 Epoch 0 | Batch 600/2891 | Timestep 600 | LR 0.0000100000 | Loss 0.189765
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:27 Epoch 0 | Batch 610/2891 | Timestep 610 | LR 0.0000100000 | Loss 0.065707
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:29 Epoch 0 | Batch 620/2891 | Timestep 620 | LR 0.0000100000 | Loss 0.148003
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:31 Epoch 0 | Batch 630/2891 | Timestep 630 | LR 0.0000100000 | Loss 0.211531
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:32 Epoch 0 | Batch 640/2891 | Timestep 640 | LR 0.0000100000 | Loss 0.114228
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:33 Epoch 0 | Batch 650/2891 | Timestep 650 | LR 0.0000100000 | Loss 0.189912
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:35 Epoch 0 | Batch 660/2891 | Timestep 660 | LR 0.0000100000 | Loss 0.084388
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:37 Epoch 0 | Batch 670/2891 | Timestep 670 | LR 0.0000100000 | Loss 0.248469
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:38 Epoch 0 | Batch 680/2891 | Timestep 680 | LR 0.0000100000 | Loss 0.146661
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:40 Epoch 0 | Batch 690/2891 | Timestep 690 | LR 0.0000100000 | Loss 0.146761
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:42 Epoch 0 | Batch 700/2891 | Timestep 700 | LR 0.0000100000 | Loss 0.075390
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:43 Epoch 0 | Batch 710/2891 | Timestep 710 | LR 0.0000100000 | Loss 0.195137
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:44 Epoch 0 | Batch 720/2891 | Timestep 720 | LR 0.0000100000 | Loss 0.181849
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:46 Epoch 0 | Batch 730/2891 | Timestep 730 | LR 0.0000100000 | Loss 0.059323
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:48 Epoch 0 | Batch 740/2891 | Timestep 740 | LR 0.0000100000 | Loss 0.182038
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:49 Epoch 0 | Batch 750/2891 | Timestep 750 | LR 0.0000100000 | Loss 0.149712
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:50 Epoch 0 | Batch 760/2891 | Timestep 760 | LR 0.0000100000 | Loss 0.144673
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:52 Epoch 0 | Batch 770/2891 | Timestep 770 | LR 0.0000100000 | Loss 0.201598
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:54 Epoch 0 | Batch 780/2891 | Timestep 780 | LR 0.0000100000 | Loss 0.060232
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:55 Epoch 0 | Batch 790/2891 | Timestep 790 | LR 0.0000100000 | Loss 0.075253
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:57 Epoch 0 | Batch 800/2891 | Timestep 800 | LR 0.0000100000 | Loss 0.047231
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:19:59 Epoch 0 | Batch 810/2891 | Timestep 810 | LR 0.0000100000 | Loss 0.214304
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:00 Epoch 0 | Batch 820/2891 | Timestep 820 | LR 0.0000100000 | Loss 0.156204
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:02 Epoch 0 | Batch 830/2891 | Timestep 830 | LR 0.0000100000 | Loss 0.112087
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:03 Epoch 0 | Batch 840/2891 | Timestep 840 | LR 0.0000100000 | Loss 0.176997
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:05 Epoch 0 | Batch 850/2891 | Timestep 850 | LR 0.0000100000 | Loss 0.083135
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:07 Epoch 0 | Batch 860/2891 | Timestep 860 | LR 0.0000100000 | Loss 0.137289
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:09 Epoch 0 | Batch 870/2891 | Timestep 870 | LR 0.0000100000 | Loss 0.145091
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:10 Epoch 0 | Batch 880/2891 | Timestep 880 | LR 0.0000100000 | Loss 0.124324
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:11 Epoch 0 | Batch 890/2891 | Timestep 890 | LR 0.0000100000 | Loss 0.136951
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:13 Epoch 0 | Batch 900/2891 | Timestep 900 | LR 0.0000100000 | Loss 0.117243
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:14 Epoch 0 | Batch 910/2891 | Timestep 910 | LR 0.0000100000 | Loss 0.169983
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:17 Epoch 0 | Batch 920/2891 | Timestep 920 | LR 0.0000100000 | Loss 0.081747
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:19 Epoch 0 | Batch 930/2891 | Timestep 930 | LR 0.0000100000 | Loss 0.061298
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:20:20 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 0.056388
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:19 Epoch 0 | Batch 1310/2891 | Timestep 1310 | LR 0.0000100000 | Loss 0.128715
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:20 Epoch 0 | Batch 1320/2891 | Timestep 1320 | LR 0.0000100000 | Loss 0.160360
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:22 Epoch 0 | Batch 1330/2891 | Timestep 1330 | LR 0.0000100000 | Loss 0.172750
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:23 Epoch 0 | Batch 1340/2891 | Timestep 1340 | LR 0.0000100000 | Loss 0.042530
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:25 Epoch 0 | Batch 1350/2891 | Timestep 1350 | LR 0.0000100000 | Loss 0.103875
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:26 Epoch 0 | Batch 1360/2891 | Timestep 1360 | LR 0.0000100000 | Loss 0.033973
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:28 Epoch 0 | Batch 1370/2891 | Timestep 1370 | LR 0.0000100000 | Loss 0.099458
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:29 Epoch 0 | Batch 1380/2891 | Timestep 1380 | LR 0.0000100000 | Loss 0.075210
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:30 Epoch 0 | Batch 1390/2891 | Timestep 1390 | LR 0.0000100000 | Loss 0.107190
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:32 Epoch 0 | Batch 1400/2891 | Timestep 1400 | LR 0.0000100000 | Loss 0.060319
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:33 Epoch 0 | Batch 1410/2891 | Timestep 1410 | LR 0.0000100000 | Loss 0.129516
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:34 Epoch 0 | Batch 1420/2891 | Timestep 1420 | LR 0.0000100000 | Loss 0.174871
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:36 Epoch 0 | Batch 1430/2891 | Timestep 1430 | LR 0.0000100000 | Loss 0.091320
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:21:37 Epoch 0 | Batch 1440/2891 | Timestep 1440 | LR 0.0000100000 | Loss 0.065221
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 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 0.015467
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:52 Epoch 1 | Batch 1729/2891 | Timestep 4620 | LR 0.0000100000 | Loss 0.006285
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:53 Epoch 1 | Batch 1739/2891 | Timestep 4630 | LR 0.0000100000 | Loss 0.010495
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:55 Epoch 1 | Batch 1749/2891 | Timestep 4640 | LR 0.0000100000 | Loss 0.047784
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:57 Epoch 1 | Batch 1759/2891 | Timestep 4650 | LR 0.0000100000 | Loss 0.038666
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:30:59 Epoch 1 | Batch 1769/2891 | Timestep 4660 | LR 0.0000100000 | Loss 0.123090
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:00 Epoch 1 | Batch 1779/2891 | Timestep 4670 | LR 0.0000100000 | Loss 0.042621
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:02 Epoch 1 | Batch 1789/2891 | Timestep 4680 | LR 0.0000100000 | Loss 0.112061
INFO 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 | Timestep 4830 | LR 0.0000100000 | Loss 0.021750
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:28 Epoch 1 | Batch 1949/2891 | Timestep 4840 | LR 0.0000100000 | Loss 0.040544
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:30 Epoch 1 | Batch 1959/2891 | Timestep 4850 | LR 0.0000100000 | Loss 0.035465
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:32 Epoch 1 | Batch 1969/2891 | Timestep 4860 | LR 0.0000100000 | Loss 0.075149
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:33 Epoch 1 | Batch 1979/2891 | Timestep 4870 | LR 0.0000100000 | Loss 0.057702
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:35 Epoch 1 | Batch 1989/2891 | Timestep 4880 | LR 0.0000100000 | Loss 0.060059
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:36 Epoch 1 | Batch 1999/2891 | Timestep 4890 | LR 0.0000100000 | Loss 0.045653
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:38 Epoch 1 | Batch 2009/2891 | Timestep 4900 | LR 0.0000100000 | Loss 0.019484
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:39 Epoch 1 | Batch 2019/2891 | Timestep 4910 | LR 0.0000100000 | Loss 0.032139
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:41 Epoch 1 | Batch 2029/2891 | Timestep 4920 | LR 0.0000100000 | Loss 0.049607
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:42 Epoch 1 | Batch 2039/2891 | Timestep 4930 | LR 0.0000100000 | Loss 0.033639
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:43 Epoch 1 | Batch 2049/2891 | Timestep 4940 | LR 0.0000100000 | Loss 0.026330
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:45 Epoch 1 | Batch 2059/2891 | Timestep 4950 | LR 0.0000100000 | Loss 0.035096
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:46 Epoch 1 | Batch 2069/2891 | Timestep 4960 | LR 0.0000100000 | Loss 0.020330
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 17:31:48 Epoch 1 | Batch 2079/2891 | Timestep 4970 | LR 0.0000100000 | Loss 0.042290
INFO 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 | Batch 1916/2891 | Timestep 13480 | LR 0.0000100000 | Loss 0.010283
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:41 Epoch 4 | Batch 1926/2891 | Timestep 13490 | LR 0.0000100000 | Loss 0.007600
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:43 Epoch 4 | Batch 1936/2891 | Timestep 13500 | LR 0.0000100000 | Loss 0.008349
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:46 Epoch 4 | Batch 1946/2891 | Timestep 13510 | LR 0.0000100000 | Loss 0.008534
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:49 Epoch 4 | Batch 1956/2891 | Timestep 13520 | LR 0.0000100000 | Loss 0.073968
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:51 Epoch 4 | Batch 1966/2891 | Timestep 13530 | LR 0.0000100000 | Loss 0.002009
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:53 Epoch 4 | Batch 1976/2891 | Timestep 13540 | LR 0.0000100000 | Loss 0.002910
INFO arabiner.trainers.BertTrainer Tue, 28 Oct 2025 18:03:55 Epoch 4 | Batch 1986/2891 | Timestep 13550 | 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