Training Loss	Epoch	Step	Validation Loss	Mse
0.0072	0.05	50	0.0045	0.0045
0.0086	0.11	100	0.0109	0.0109
0.0063	0.16	150	0.0045	0.0045
0.0054	0.22	200	0.0051	0.0051
0.0081	0.27	250	0.0060	0.0060
0.0076	0.32	300	0.0046	0.0046
0.0067	0.38	350	0.0047	0.0047
0.0071	0.43	400	0.0045	0.0045
0.006	0.48	450	0.0054	0.0054
0.0064	0.54	500	0.0046	0.0046
0.0069	0.59	550	0.0063	0.0063
0.0044	0.65	600	0.0076	0.0076
0.0069	0.7	650	0.0044	0.0044
0.0041	0.75	700	0.0043	0.0043
0.007	0.81	750	0.0044	0.0044
0.0049	0.86	800	0.0045	0.0045
0.0058	0.92	850	0.0055	0.0055
0.0061	0.97	900	0.0045	0.0045
0.004	1.02	950	0.0044	0.0044
0.0064	1.08	1000	0.0049	0.0049
0.0055	1.13	1050	0.0050	0.0050
0.0052	1.19	1100	0.0043	0.0043
0.0054	1.24	1150	0.0043	0.0043
0.0066	1.29	1200	0.0048	0.0048
0.0065	1.35	1250	0.0043	0.0043
0.0056	1.4	1300	0.0045	0.0045
0.0054	1.45	1350	0.0043	0.0043
0.0067	1.51	1400	0.0044	0.0044
0.0067	1.56	1450	0.0042	0.0042
0.0044	1.62	1500	0.0043	0.0043
0.0062	1.67	1550	0.0043	0.0043
0.0057	1.72	1600	0.0043	0.0043
0.0049	1.78	1650	0.0042	0.0042
0.0059	1.83	1700	0.0045	0.0045
0.0066	1.89	1750	0.0045	0.0045
0.0045	1.94	1800	0.0051	0.0051
0.0056	1.99	1850	0.0042	0.0042
0.0042	2.05	1900	0.0045	0.0045
0.0058	2.1	1950	0.0045	0.0045
0.0045	2.16	2000	0.0045	0.0045
0.0058	2.21	2050	0.0043	0.0043
0.0055	2.26	2100	0.0049	0.0049
0.0054	2.32	2150	0.0043	0.0043
0.0046	2.37	2200	0.0044	0.0044
0.0051	2.42	2250	0.0044	0.0044
0.0057	2.48	2300	0.0044	0.0044
0.0047	2.53	2350	0.0047	0.0047
0.0054	2.59	2400	0.0044	0.0044
0.0052	2.64	2450	0.0044	0.0044
0.0043	2.69	2500	0.0046	0.0046
0.0056	2.75	2550	0.0044	0.0044
0.0039	2.8	2600	0.0043	0.0043
0.0049	2.86	2650	0.0047	0.0047
0.0042	2.91	2700	0.0046	0.0046
0.0051	2.96	2750	0.0044	0.0044

vtiyyal1/empathy_model_apr3

empathy_model_apr3