Training Loss	Epoch	Step	Validation Loss
2.3371	0.07	500	1.3143
1.1681	0.14	1000	1.2073
1.019	0.22	1500	1.2466
0.9532	0.29	2000	0.9045
0.927	0.36	2500	0.8376
0.858	0.43	3000	0.8539
0.911	0.51	3500	0.7801
0.7875	0.58	4000	0.9157
0.8543	0.65	4500	0.8728
0.8743	0.72	5000	0.8431
0.8004	0.79	5500	0.7866
0.828	0.87	6000	0.7686
0.7597	0.94	6500	0.7637
0.728	1.01	7000	0.8749
0.4751	1.08	7500	0.8225
0.5158	1.16	8000	1.1740
0.5046	1.23	8500	0.8435
0.501	1.3	9000	0.9899
0.4962	1.37	9500	1.0151
0.5345	1.45	10000	0.9104
0.5102	1.52	10500	0.9287
0.519	1.59	11000	0.9018
0.5032	1.66	11500	0.9816
0.4776	1.73	12000	1.1031
0.5099	1.81	12500	0.8666
0.4616	1.88	13000	0.8950
0.5127	1.95	13500	0.8260
0.4322	2.02	14000	1.0062
0.258	2.1	14500	1.1331
0.2794	2.17	15000	1.2275
0.2325	2.24	15500	1.2657
0.2742	2.31	16000	1.0803
0.2315	2.38	16500	1.2236
0.2782	2.46	17000	1.1722
0.2706	2.53	17500	1.2902
0.2817	2.6	18000	1.1814
0.2541	2.67	18500	1.1149
0.2965	2.75	19000	1.0627
0.2511	2.82	19500	1.1695
0.2675	2.89	20000	1.1538
0.2743	2.96	20500	1.2044
0.183	3.04	21000	1.3375
0.1657	3.11	21500	1.3305
0.1112	3.18	22000	1.4240
0.1316	3.25	22500	1.3410
0.0971	3.32	23000	1.4676
0.1227	3.4	23500	1.4158
0.1064	3.47	24000	1.4724
0.1012	3.54	24500	1.5001
0.0755	3.61	25000	1.4947
0.1	3.69	25500	1.4799
0.0913	3.76	26000	1.4940
0.0962	3.83	26500	1.4657
0.0664	3.9	27000	1.4992
0.0724	3.97	27500	1.4979

sharkMeow/bert-base-chinese-finetuned-QA-b4

bert-base-chinese-finetuned-QA-b4