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RSNA-Intracranial-Hemorr
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2019-10-05 00:29:29,207 - root - INFO - epoch
2019-10-05 00:29:29,207 - root - INFO - 15
2019-10-05 00:29:29,207 - root - INFO - schedule_step
2019-10-05 00:29:29,207 - root - INFO - 4
2019-10-05 00:29:29,207 - root - INFO - batch_size
2019-10-05 00:29:29,207 - root - INFO - 64
2019-10-05 00:29:29,207 - root - INFO - test_batch_size
2019-10-05 00:29:29,207 - root - INFO - 128
2019-10-05 00:29:29,207 - root - INFO - num_workers
2019-10-05 00:29:29,207 - root - INFO - 32
2019-10-05 00:29:29,207 - root - INFO - eval_fre
2019-10-05 00:29:29,207 - root - INFO - 1
2019-10-05 00:29:29,207 - root - INFO - msg_fre
2019-10-05 00:29:29,207 - root - INFO - 10
2019-10-05 00:29:29,207 - root - INFO - save_fre
2019-10-05 00:29:29,207 - root - INFO - 1
2019-10-05 00:29:29,207 - root - INFO - name
2019-10-05 00:29:29,208 - root - INFO - temp
2019-10-05 00:29:29,208 - root - INFO - data_dir
2019-10-05 00:29:29,208 - root - INFO - /media/tiger/zzr/rsna
2019-10-05 00:29:29,208 - root - INFO - log_dir
2019-10-05 00:29:29,208 - root - INFO - ./logs
2019-10-05 00:29:29,208 - root - INFO - tensorboard_dir
2019-10-05 00:29:29,208 - root - INFO - ./tensorboard
2019-10-05 00:29:29,208 - root - INFO - model_out_dir
2019-10-05 00:29:29,208 - root - INFO - ./model_out
2019-10-05 00:29:29,208 - root - INFO - model_out_name
2019-10-05 00:29:29,208 - root - INFO - final_model.pth
2019-10-05 00:29:29,208 - root - INFO - seed
2019-10-05 00:29:29,208 - root - INFO - 5
2019-10-05 00:29:29,208 - root - INFO - predefinedModel
2019-10-05 00:29:29,208 - root - INFO - /media/tiger/zzr/rsna_script/model_out/191004-003700_temp/out_1.pth
2019-10-05 00:29:29,208 - root - INFO - unique_name
2019-10-05 00:29:29,208 - root - INFO - 191005-002929_temp
2019-10-05 00:29:29,208 - root - INFO - sub_tensorboard_dir
2019-10-05 00:29:29,208 - root - INFO - ./tensorboard/191005-002929_temp
2019-10-05 00:29:29,208 - root - INFO - sub_model_out_dir
2019-10-05 00:29:29,208 - root - INFO - ./model_out/191005-002929_temp
2019-10-05 00:29:58,859 - root - INFO - epoch:0. iter/total_iter:10/158025. lr:0.00100. loss:0.6784. spend/global_spend:14.3681/0:00:14. eta:2 days, 15:03:56
2019-10-05 00:30:04,195 - root - INFO - epoch:0. iter/total_iter:20/158025. lr:0.00100. loss:0.2697. spend/global_spend:5.3362/0:00:19. eta:1 day, 19:14:28
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2019-10-06 00:53:12,470 - root - INFO - epoch:7. iter/total_iter:79360/158025. lr:0.00030. loss:0.0712. spend/global_spend:4.5839/1 day, 0:23:27. eta:1 day, 0:10:38
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2019-10-06 09:25:09,281 - root - INFO - epoch:10. iter/total_iter:107070/158025. lr:0.00009. loss:0.0638. spend/global_spend:42.5155/1 day, 8:55:24. eta:15:40:06
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2019-10-06 09:25:22,616 - root - INFO - epoch:10. iter/total_iter:107100/158025. lr:0.00009. loss:0.0490. spend/global_spend:4.4536/1 day, 8:55:38. eta:15:39:23
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2019-10-06 11:28:49,297 - root - INFO - epoch:10. iter/total_iter:113530/158025. lr:0.00009. loss:0.0660. spend/global_spend:30.0025/1 day, 10:59:04. eta:13:42:40
2019-10-06 11:28:53,803 - root - INFO - epoch:10. iter/total_iter:113540/158025. lr:0.00009. loss:0.0755. spend/global_spend:4.5056/1 day, 10:59:09. eta:13:42:26
2019-10-06 11:28:58,284 - root - INFO - epoch:10. iter/total_iter:113550/158025. lr:0.00009. loss:0.0767. spend/global_spend:4.4808/1 day, 10:59:13. eta:13:42:13
2019-10-06 11:29:34,367 - root - INFO - epoch:10. iter/total_iter:113560/158025. lr:0.00009. loss:0.0669. spend/global_spend:36.0839/1 day, 10:59:49. eta:13:42:11
2019-10-06 11:29:40,590 - root - INFO - epoch:10. iter/total_iter:113570/158025. lr:0.00009. loss:0.0733. spend/global_spend:6.2221/1 day, 10:59:56. eta:13:41:58
2019-10-06 11:29:45,053 - root - INFO - epoch:10. iter/total_iter:113580/158025. lr:0.00009. loss:0.0816. spend/global_spend:4.4630/1 day, 11:00:00. eta:13:41:45
2019-10-06 11:29:56,802 - root - INFO - epoch:10. iter/total_iter:113590/158025. lr:0.00009. loss:0.0767. spend/global_spend:11.7497/1 day, 11:00:12. eta:13:41:34
2019-10-06 11:30:10,688 - root - INFO - epoch:10. iter/total_iter:113600/158025. lr:0.00009. loss:0.0529. spend/global_spend:13.8854/1 day, 11:00:26. eta:13:41:24
2019-10-06 11:30:15,220 - root - INFO - epoch:10. iter/total_iter:113610/158025. lr:0.00009. loss:0.0578. spend/global_spend:4.5323/1 day, 11:00:30. eta:13:41:10
2019-10-06 11:30:33,018 - root - INFO - epoch:10. iter/total_iter:113620/158025. lr:0.00009. loss:0.0690. spend/global_spend:17.7979/1 day, 11:00:48. eta:13:41:02
2019-10-06 11:30:49,651 - root - INFO - epoch:10. iter/total_iter:113630/158025. lr:0.00009. loss:0.0684. spend/global_spend:16.6333/1 day, 11:01:05. eta:13:40:53
2019-10-06 11:30:54,168 - root - INFO - epoch:10. iter/total_iter:113640/158025. lr:0.00009. loss:0.0697. spend/global_spend:4.5165/1 day, 11:01:09. eta:13:40:39
2019-10-06 11:31:18,129 - root - INFO - epoch:10. iter/total_iter:113650/158025. lr:0.00009. loss:0.0617. spend/global_spend:23.9616/1 day, 11:01:33. eta:13:40:33
2019-10-06 11:31:26,487 - root - INFO - epoch:10. iter/total_iter:113660/158025. lr:0.00009. loss:0.0523. spend/global_spend:8.3579/1 day, 11:01:41. eta:13:40:21
2019-10-06 11:31:30,940 - root - INFO - epoch:10. iter/total_iter:113670/158025. lr:0.00009. loss:0.0828. spend/global_spend:4.4531/1 day, 11:01:46. eta:13:40:07
2019-10-06 11:31:35,521 - root - INFO - epoch:10. iter/total_iter:113680/158025. lr:0.00009. loss:0.0593. spend/global_spend:4.5804/1 day, 11:01:51. eta:13:39:54
2019-10-06 11:32:05,462 - root - INFO - epoch:10. iter/total_iter:113690/158025. lr:0.00009. loss:0.0739. spend/global_spend:29.9418/1 day, 11:02:20. eta:13:39:50
2019-10-06 11:32:09,928 - root - INFO - epoch:10. iter/total_iter:113700/158025. lr:0.00009. loss:0.0632. spend/global_spend:4.4654/1 day, 11:02:25. eta:13:39:36
2019-10-06 11:32:14,454 - root - INFO - epoch:10. iter/total_iter:113710/158025. lr:0.00009. loss:0.0666. spend/global_spend:4.5260/1 day, 11:02:29. eta:13:39:23
2019-10-06 11:32:43,815 - root - INFO - epoch:10. iter/total_iter:113720/158025. lr:0.00009. loss:0.0708. spend/global_spend:29.3609/1 day, 11:02:59. eta:13:39:19
2019-10-06 11:32:48,281 - root - INFO - epoch:10. iter/total_iter:113730/158025. lr:0.00009. loss:0.0616. spend/global_spend:4.4663/1 day, 11:03:03. eta:13:39:05
2019-10-06 11:32:52,748 - root - INFO - epoch:10. iter/total_iter:113740/158025. lr:0.00009. loss:0.0595. spend/global_spend:4.4672/1 day, 11:03:08. eta:13:38:51
2019-10-06 11:33:03,949 - root - INFO - epoch:10. iter/total_iter:113750/158025. lr:0.00009. loss:0.0800. spend/global_spend:11.2000/1 day, 11:03:19. eta:13:38:40
2019-10-06 11:33:16,668 - root - ERROR - Exception logged
Traceback (most recent call last):
  File "/media/tiger/zzr/rsna_script/trian_resnet.py", line 110, in main_worker
    loss = criterion(outputs, lb)
  File "/home/tiger/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 493, in __call__
    result = self.forward(*input, **kwargs)
  File "/home/tiger/anaconda3/lib/python3.7/site-packages/torch/nn/modules/loss.py", line 512, in forward
    return F.binary_cross_entropy(input, target, weight=self.weight, reduction=self.reduction)
  File "/home/tiger/anaconda3/lib/python3.7/site-packages/torch/nn/functional.py", line 2113, in binary_cross_entropy
    input, target, weight, reduction_enum)
KeyboardInterrupt