epoch,loss,learning_rate,step
1.0,5.084,1.960318979266348e-05,627
2.0,4.0177,1.920318979266348e-05,1254
3.0,2.4592,1.8803189792663478e-05,1881
4.0,1.8482,1.8403189792663478e-05,2508
5.0,1.5905,1.800318979266348e-05,3135
6.0,1.4122,1.760318979266348e-05,3762
7.0,1.2834,1.7203189792663476e-05,4389
8.0,1.1733,1.680318979266348e-05,5016
9.0,1.0848,1.640318979266348e-05,5643
10.0,1.0001,1.6003189792663477e-05,6270
11.0,0.9316,1.5603189792663478e-05,6897
12.0,0.8616,1.5203189792663478e-05,7524
13.0,0.8089,1.4803189792663477e-05,8151
14.0,0.7597,1.4403189792663479e-05,8778
15.0,0.7119,1.4003189792663478e-05,9405
16.0,0.6703,1.3603189792663478e-05,10032
17.0,0.6312,1.3203189792663477e-05,10659
18.0,0.5971,1.2803189792663477e-05,11286
19.0,0.5631,1.2403189792663476e-05,11913
20.0,0.5347,1.2003827751196173e-05,12540
21.0,0.5093,1.1603827751196173e-05,13167
22.0,0.482,1.1203827751196172e-05,13794
23.0,0.4573,1.0804465709728868e-05,14421
24.0,0.436,1.0404465709728869e-05,15048
25.0,0.4146,1.0005103668261565e-05,15675
26.0,0.398,9.605103668261564e-06,16302
27.0,0.3802,9.205103668261564e-06,16929
28.0,0.3624,8.805103668261565e-06,17556
29.0,0.3472,8.405103668261563e-06,18183
30.0,0.3309,8.005103668261564e-06,18810
31.0,0.3189,7.605103668261563e-06,19437
32.0,0.3063,7.205103668261564e-06,20064
33.0,0.2955,6.8057416267942585e-06,20691
34.0,0.2834,6.405741626794258e-06,21318
35.0,0.2749,6.005741626794259e-06,21945
36.0,0.2631,5.605741626794259e-06,22572
37.0,0.2539,5.2057416267942586e-06,23199
38.0,0.2463,4.806379585326954e-06,23826
39.0,0.2385,4.40701754385965e-06,24453
40.0,0.2309,4.007017543859649e-06,25080
41.0,0.2248,3.6070175438596492e-06,25707
42.0,0.2179,3.2070175438596497e-06,26334
43.0,0.2103,2.8070175438596493e-06,26961
44.0,0.2083,2.4070175438596493e-06,27588
45.0,0.2015,2.0070175438596493e-06,28215
46.0,0.1991,1.6070175438596491e-06,28842
47.0,0.1974,1.2076555023923446e-06,29469
48.0,0.1922,8.076555023923445e-07,30096
49.0,0.19,4.076555023923445e-07,30723
50.0,0.1881,8.293460925039874e-09,31350