0th iteration, bert:
	f1: 0.6235761589403973
	precision: 0.45304080061585833
	recall: 1.0
0th iteration, bert:
	f1: 0.5738138305273411
	precision: 0.40234146341463417
	recall: 1.0
0th iteration, bert:
	f1: 0.5868473895582329
	precision: 0.4152753108348135
	recall: 1.0
1th iteration, bert:
	f1: 0.638930568817351
	precision: 0.46943275205451995
	recall: 1.0
2th iteration, bert:
	f1: 0.638930568817351
	precision: 0.46943275205451995
	recall: 1.0
3th iteration, bert:
	f1: 0.638930568817351
	precision: 0.46943275205451995
	recall: 1.0
4th iteration, bert:
	f1: 0.638930568817351
	precision: 0.46943275205451995
	recall: 1.0
5th iteration, bert:
	f1: 0.638930568817351
	precision: 0.46943275205451995
	recall: 1.0
6th iteration, bert:
	f1: 0.638930568817351
	precision: 0.46943275205451995
	recall: 1.0
7th iteration, bert:
	f1: 0.638930568817351
	precision: 0.46943275205451995
	recall: 1.0
8th iteration, bert:
	f1: 0.638930568817351
	precision: 0.46943275205451995
	recall: 1.0
9th iteration, bert:
	f1: 0.638930568817351
	precision: 0.46943275205451995
	recall: 1.0
10th iteration, bert:
	f1: 0.638930568817351
	precision: 0.46943275205451995
	recall: 1.0
11th iteration, bert:
	f1: 0.638930568817351
	precision: 0.46943275205451995
	recall: 1.0
12th iteration, bert:
	f1: 0.6309345667256155
	precision: 0.4609421586165772
	recall: 0.9995689655172414
13th iteration, bert:
	f1: 0.6093729715695184
	precision: 0.4382001493651979
	recall: 1.0
14th iteration, bert:
	f1: 0.6093729715695184
	precision: 0.4382001493651979
	recall: 1.0
15th iteration, bert:
	f1: 0.5709367379142161
	precision: 0.399518169042361
	recall: 1.0
16th iteration, bert:
	f1: 0.624615795803822
	precision: 0.45413913719393706
	recall: 1.0
17th iteration, bert:
	f1: 0.49581406972385356
	precision: 0.32962286094035553
	recall: 1.0
18th iteration, bert:
	f1: 0.6167146974063401
	precision: 0.44583333333333336
	recall: 1.0
19th iteration, bert:
	f1: 0.5975640700329865
	precision: 0.42609010313008866
	recall: 1.0
20th iteration, bert:
	f1: 0.6237795907449512
	precision: 0.4532555879494655
	recall: 1.0
21th iteration, bert:
	f1: 0.6144373116729989
	precision: 0.4434568835098336
	recall: 1.0
22th iteration, bert:
	f1: 0.6445237441668955
	precision: 0.4754961522883759
	recall: 1.0
23th iteration, bert:
	f1: 0.6056628056628057
	precision: 0.43437326933727155
	recall: 1.0
24th iteration, bert:
	f1: 0.6195321791991542
	precision: 0.4487842236262684
	recall: 1.0
23th iteration, bert:
	f1: 0.6282205313042318
	precision: 0.45796029583495523
	recall: 1.0
24th iteration, bert:
	f1: 0.6131654864935746
	precision: 0.44213313161875945
	recall: 1.0
27th iteration, bert:
	f1: 0.5917650012553353
	precision: 0.42021750757710824
	recall: 1.0
28th iteration, bert:
	f1: 0.6197998946814113
	precision: 0.44906524227394123
	recall: 1.0
29th iteration, bert:
	f1: 0.6197998946814113
	precision: 0.44906524227394123
	recall: 1.0
30th iteration, bert:
	f1: 0.6197998946814113
	precision: 0.44906524227394123
	recall: 1.0
31th iteration, bert:
	f1: 0.6197998946814113
	precision: 0.44906524227394123
	recall: 1.0
32th iteration, bert:
	f1: 0.6197998946814113
	precision: 0.44906524227394123
	recall: 1.0
33th iteration, bert:
	f1: 0.6165307843688502
	precision: 0.4536615639222176
	recall: 0.9618421052631579
34th iteration, bert:
	f1: 0.6359945872801082
	precision: 0.4662698412698413
	recall: 1.0
35th iteration, bert:
	f1: 0.6359945872801082
	precision: 0.4662698412698413
	recall: 1.0
36th iteration, bert:
	f1: 0.6359945872801082
	precision: 0.4662698412698413
	recall: 1.0
37th iteration, bert:
	f1: 0.6176907494935855
	precision: 0.4468542399374756
	recall: 1.0
38th iteration, bert:
	f1: 0.6298283261802574
	precision: 0.4596711041503524
	recall: 1.0
39th iteration, bert:
	f1: 0.6298283261802574
	precision: 0.4596711041503524
	recall: 1.0
40th iteration, bert:
	f1: 0.6298283261802574
	precision: 0.4596711041503524
	recall: 1.0
41th iteration, bert:
	f1: 0.6099882644412571
	precision: 0.43883677298311446
	recall: 1.0
42th iteration, bert:
	f1: 0.5460308710033076
	precision: 0.37554502369668247
	recall: 1.0
43th iteration, bert:
	f1: 0.6061861006859066
	precision: 0.4349117920148561
	recall: 1.0
44th iteration, bert:
	f1: 0.6061861006859066
	precision: 0.4349117920148561
	recall: 1.0
45th iteration, bert:
	f1: 0.5372211771029294
	precision: 0.3672607018188499
	recall: 1.0
46th iteration, bert:
	f1: 0.6401958118031003
	precision: 0.4708
	recall: 1.0
47th iteration, bert:
	f1: 0.6401958118031003
	precision: 0.4708
	recall: 1.0
48th iteration, bert:
	f1: 0.6401958118031003
	precision: 0.4708
	recall: 1.0
49th iteration, bert:
	f1: 0.6401958118031003
	precision: 0.4708
	recall: 1.0
50th iteration, bert:
	f1: 0.6401958118031003
	precision: 0.4708
	recall: 1.0
