Training Loss	Epoch	Step	Validation Loss
3.7861	0.12	1000	3.2778
3.2186	0.23	2000	3.0658
2.8504	0.35	3000	3.0456
2.8621	0.46	4000	2.8758
2.7851	0.58	5000	2.8680
2.8016	0.69	6000	2.9244
2.7592	0.81	7000	2.7735
2.5737	0.93	8000	2.7640
2.3493	1.04	9000	2.7257
2.1041	1.16	10000	2.8442
2.1713	1.27	11000	2.7723
2.0594	1.39	12000	2.9982
2.1825	1.5	13000	2.8272
2.2486	1.62	14000	2.8897
2.097	1.74	15000	2.8557
2.1645	1.85	16000	2.6342
2.15	1.97	17000	2.8680
1.5662	2.08	18000	3.2126
1.6168	2.2	19000	3.1646
1.5886	2.32	20000	3.3139
1.6539	2.43	21000	3.2610
1.6486	2.55	22000	3.3144
1.637	2.66	23000	3.0437
1.7186	2.78	24000	2.9936
1.7543	2.89	25000	3.1641
1.5301	3.01	26000	4.0560
1.1436	3.13	27000	4.0116
1.1902	3.24	28000	4.0240
1.2728	3.36	29000	4.3068
1.2586	3.47	30000	3.7894
1.3164	3.59	31000	3.9242
1.3093	3.7	32000	4.0444
1.2812	3.82	33000	4.1779
1.3165	3.94	34000	3.6633
0.8357	4.05	35000	5.8137
0.9583	4.17	36000	5.3305
0.9135	4.28	37000	5.4973
1.0011	4.4	38000	5.0349
0.9553	4.51	39000	5.2086
1.0182	4.63	40000	5.1197
0.9569	4.75	41000	5.4579
0.9437	4.86	42000	5.4467
0.9791	4.98	43000	4.7657
0.648	5.09	44000	6.5780
0.7528	5.21	45000	6.2827
0.7247	5.33	46000	6.8500
0.702	5.44	47000	6.4572
0.6786	5.56	48000	6.5462
0.7272	5.67	49000	6.2406
0.6778	5.79	50000	6.4727
0.6446	5.9	51000	6.3170

tiennvcs/bert-large-uncased-finetuned-infovqa

bert-large-uncased-finetuned-infovqa