epoch,loss,learning_rate,step
1.0,4.8232,1.9607643312101913e-05,157
2.0,2.4062,1.9207643312101913e-05,314
3.0,1.9893,1.8807643312101914e-05,471
4.0,1.769,1.8407643312101914e-05,628
5.0,1.6182,1.800764331210191e-05,785
6.0,1.5045,1.7607643312101912e-05,942
7.0,1.4104,1.7207643312101912e-05,1099
8.0,1.3293,1.6807643312101913e-05,1256
9.0,1.2631,1.6407643312101913e-05,1413
10.0,1.201,1.6007643312101914e-05,1570
11.0,1.147,1.560764331210191e-05,1727
12.0,1.0992,1.5207643312101911e-05,1884
13.0,1.0559,1.4807643312101912e-05,2041
14.0,1.0136,1.440764331210191e-05,2198
15.0,0.9759,1.4007643312101912e-05,2355
16.0,0.9407,1.3607643312101913e-05,2512
17.0,0.9089,1.3207643312101912e-05,2669
18.0,0.8751,1.2807643312101912e-05,2826
19.0,0.8464,1.240764331210191e-05,2983
20.0,0.8226,1.2007643312101911e-05,3140
21.0,0.801,1.1607643312101913e-05,3297
22.0,0.7738,1.1207643312101912e-05,3454
23.0,0.7514,1.0807643312101913e-05,3611
24.0,0.7319,1.0407643312101911e-05,3768
25.0,0.7142,1.0007643312101912e-05,3925
26.0,0.695,9.607643312101912e-06,4082
27.0,0.6792,9.207643312101911e-06,4239
28.0,0.6613,8.807643312101911e-06,4396
29.0,0.6461,8.407643312101912e-06,4553
30.0,0.6321,8.007643312101912e-06,4710
31.0,0.6204,7.607643312101911e-06,4867
32.0,0.6071,7.2076433121019114e-06,5024
33.0,0.5941,6.807643312101911e-06,5181
34.0,0.584,6.407643312101911e-06,5338
35.0,0.5751,6.007643312101912e-06,5495
36.0,0.5664,5.6076433121019115e-06,5652
37.0,0.5552,5.207643312101911e-06,5809
38.0,0.5484,4.8076433121019115e-06,5966
39.0,0.5415,4.407643312101911e-06,6123
40.0,0.534,4.007643312101911e-06,6280
41.0,0.5266,3.607643312101911e-06,6437
42.0,0.5198,3.207643312101911e-06,6594
43.0,0.5153,2.8076433121019108e-06,6751
44.0,0.5116,2.4076433121019112e-06,6908
45.0,0.5091,2.007643312101911e-06,7065
46.0,0.5056,1.6076433121019108e-06,7222
47.0,0.5022,1.207643312101911e-06,7379
48.0,0.4989,8.076433121019109e-07,7536
49.0,0.4988,4.0764331210191083e-07,7693
50.0,0.4945,7.643312101910828e-09,7850