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log.txt
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log.txt
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** Long and short context seems to have the same performance **
** Long Context WIKI (This is amazing and need to be verified as it probebly a mistake) **
_lr = 1e-7
_iterations = 2
_batch_size = 32
_joint = False
_type = "event"
_alpha = 3
INFO:__main__:Dev-Acc: 1: 653204: Accuracy: 0.9526726007
INFO:__main__:Train-Acc: 1: 653204: Accuracy: 0.7540892959
INFO:__main__:Dev-Acc: 2: 653204: Accuracy: 0.9582021832
INFO:__main__:Train-Acc: 2: 653204: Accuracy: 0.7566873431
** Long Context WIKI **
_lr = 2e-5
_iterations = 2
_batch_size = 32
_joint = False
_alpha = 3
INFO:__main__:Dev-Acc: 1: 653204: Accuracy: 0.1865567714
INFO:__main__:Train-Acc: 1: 653204: Accuracy: 0.9706983566
INFO:__main__:Dev-Acc: 2: 653204: Accuracy: 0.1200972274
INFO:__main__:Train-Acc: 2: 653204: Accuracy: 0.9833183289
** Long Context WIKI **
_lr = 1e-6
_iterations = 2
_batch_size = 32
_joint = False
_type = "event"
_alpha = 3
INFO:__main__:Dev-Acc: 1: 653204: Accuracy: 0.4540530145
INFO:__main__:Train-Acc: 1: 653204: Accuracy: 0.8933297992
INFO:__main__:Dev-Acc: 2: 653204: Accuracy: 0.3493613005
INFO:__main__:Train-Acc: 2: 653204: Accuracy: 0.9196138382
** Long Context WIKI **
_lr = 1e-7
_iterations = 2
_batch_size = 32
_alpha = 1
INFO:__main__:Dev-Acc: 1: 653204: Accuracy: 0.6826726007
** Long Context WIKI **
_lr = 1e-7
_iterations = 2
_batch_size = 32
_alpha = 2
INFO:__main__:Dev-Acc: 1: Accuracy: 0.9463092685
INFO:__main__:Train-Acc: 1: Accuracy: 0.6694641709
INFO:__main__:Dev-Acc: 2: Accuracy: 0.9550681710
INFO:__main__:Train-Acc: 2: Accuracy: 0.6795184016
** Long Context WIKI **
_lr = 2e-5
_iterations = 2
_batch_size = 32
_joint = False
_alpha = 7
INFO:__main__:Dev-Acc: 1: 1297235: Accuracy: 0.3213813603
INFO:__main__:Train-Acc: 1: 1297235: Accuracy: 0.9743455648
** Long Context WIKI **
_lr = 2e-5
_iterations = 2
_batch_size = 32
_joint = False
_alpha = 20
INFO:__main__:Dev-Acc: 1: 3380634: Accuracy: 0.3312824070
INFO:__main__:Train-Acc: 1: 3380634: Accuracy: 0.9863255024
** Long Context WIKI **
_lr = 1e-7
_iterations = 2
_batch_size = 64
_alpha = 2
INFO:__main__:Dev-Acc: 1: Accuracy: 0.9459947348
INFO:__main__:Train-Acc: 1: Accuracy: 0.6762906313
INFO:__main__:Dev-Acc: 2: Accuracy: 0.8095944524
INFO:__main__:Train-Acc: 2: Accuracy: 0.7490940690
** Long Context WIKI **
_lr = 1e-7
_iterations = 5
_batch_size = 32
_alpha = 5
INFO:__main__:Dev-Acc: 5: Accuracy: 0.7896590829
INFO:__main__:Train-Acc: 5: Accuracy: 0.8884294033
INFO:__main__:Test-Pos-Acc: 0: Accuracy: 0.5484479070
INFO:__main__:Test-Neg-Acc: 0: Accuracy: 0.8375467062
INFO:__main__:Test-Acc: 0: Accuracy: 0.8265199661
** ECB+ **
_lr = 2e-5
_iterations = 2
_batch_size = 32
_joint = False
_alpha = 3
INFO:__main__:Dev-Acc: 1: 62303: Accuracy: 0.6121884584
INFO:__main__:Train-Acc: 1: 62303: Accuracy: 0.9687333703
INFO:__main__:Dev-Acc: 2: 62303: Accuracy: 0.5362968445
INFO:__main__:Train-Acc: 2: 62303: Accuracy: 0.9759277701
** ECB+ **
_lr = 1e-7
_iterations = 10
_batch_size = 32
_alpha = 2
_use_cuda = True # args.cuda in ["True", "true", "yes", "Yes"]
save_model = False
INFO:__main__:Dev-Acc: 9: Accuracy: 0.9483666420
INFO:__main__:Train-Acc: 9: Accuracy: 0.7957712412
INFO:__main__:Dev-Acc: 10: Accuracy: 0.9516148567
INFO:__main__:Train-Acc: 10: Accuracy: 0.7985319495
** ECB+ **
_lr = 1e-7
_iterations = 10
_batch_size = 32
_alpha = 3
_use_cuda = True # args.cuda in ["True", "true", "yes", "Yes"]
save_model = False
INFO:__main__:Dev-Acc: 5: Accuracy: 0.9376587272
INFO:__main__:Train-Acc: 5: Accuracy: 0.7651042342
** ECB+ **
INFO:__main__:Dev-Acc: 4: Accuracy: 0.4404171109: precision: 0.0832700874: recall: 0.8581873831: f1: 0.1518100194
INFO:__main__:Train-Acc: 4: Accuracy: 0.9097035527: precision: 0.9685009773: recall: 0.8469528631: f1: 0.9036579806