Training Loss	Epoch	Step	Validation Loss	Accuracy
6.1798	0.11	10000	6.1719	0.1485
6.0527	0.22	20000	6.0469	0.1502
5.6176	0.33	30000	5.5703	0.1772
3.8786	0.44	40000	3.7441	0.3851
3.4104	0.55	50000	3.3105	0.4327
3.1802	0.66	60000	3.0781	0.4601
3.0115	0.76	70000	2.9141	0.4804
2.8893	0.87	80000	2.7930	0.4956
2.7983	0.98	90000	2.6973	0.5081
2.7039	1.09	100000	2.6016	0.5215
2.5658	1.2	110000	2.4551	0.5448
2.4846	1.31	120000	2.3730	0.5576
2.4284	1.42	130000	2.3164	0.5663
2.3723	1.53	140000	2.2734	0.5726
2.3382	1.64	150000	2.2344	0.5787
2.3084	1.75	160000	2.2031	0.5829
2.2773	1.86	170000	2.1758	0.5872
2.2492	1.97	180000	2.1484	0.5909
2.2261	2.08	190000	2.1230	0.5943
2.1961	2.18	200000	2.1016	0.5976
2.1838	2.29	210000	2.0820	0.6004
2.164	2.4	220000	2.0645	0.6031
2.1456	2.51	230000	2.0469	0.6052
2.1308	2.62	240000	2.0293	0.6080
2.1161	2.73	250000	2.0137	0.6101
2.1052	2.84	260000	2.0020	0.6120
2.0856	2.95	270000	1.9902	0.6142
2.0743	3.06	280000	1.9775	0.6159
2.0598	3.17	290000	1.9678	0.6171
2.0492	3.28	300000	1.9561	0.6190
2.0395	3.39	310000	1.9453	0.6203
2.0328	3.5	320000	1.9365	0.6217
2.0204	3.6	330000	1.9287	0.6230
2.0142	3.71	340000	1.9199	0.6243
2.0021	3.82	350000	1.9121	0.6257
2.006	3.93	360000	1.9043	0.6264
1.9917	4.04	370000	1.8984	0.6274
1.9881	4.15	380000	1.8916	0.6284
1.9843	4.26	390000	1.8867	0.6291
1.977	4.37	400000	1.8809	0.6301
1.9697	4.48	410000	1.8770	0.6306
1.9655	4.59	420000	1.8740	0.6313
1.9649	4.7	430000	1.8691	0.6320
1.9622	4.81	440000	1.8662	0.6324
1.9539	4.92	450000	1.8623	0.6328

gokuls/bert_12_layer_model_v2_complete_training

bert_12_layer_model_v2_complete_training