epoch,loss,learning_rate,step
1.0,6.2043,1.961019108280255e-05,157
2.0,4.5844,1.921019108280255e-05,314
3.0,4.1003,1.881019108280255e-05,471
4.0,2.7649,1.841019108280255e-05,628
5.0,2.1903,1.8010191082802547e-05,785
6.0,1.8997,1.761019108280255e-05,942
7.0,1.7038,1.721019108280255e-05,1099
8.0,1.56,1.681019108280255e-05,1256
9.0,1.4496,1.641019108280255e-05,1413
10.0,1.3551,1.601019108280255e-05,1570
11.0,1.2772,1.561019108280255e-05,1727
12.0,1.2073,1.521019108280255e-05,1884
13.0,1.1481,1.4810191082802549e-05,2041
14.0,1.0893,1.441019108280255e-05,2198
15.0,1.0422,1.4010191082802548e-05,2355
16.0,0.9928,1.3610191082802549e-05,2512
17.0,0.951,1.3210191082802547e-05,2669
18.0,0.9123,1.2810191082802548e-05,2826
19.0,0.878,1.241019108280255e-05,2983
20.0,0.8451,1.2010191082802549e-05,3140
21.0,0.816,1.161019108280255e-05,3297
22.0,0.7864,1.1210191082802548e-05,3454
23.0,0.7595,1.0810191082802548e-05,3611
24.0,0.7349,1.0410191082802547e-05,3768
25.0,0.714,1.001019108280255e-05,3925
26.0,0.6929,9.61019108280255e-06,4082
27.0,0.6714,9.210191082802548e-06,4239
28.0,0.6489,8.810191082802549e-06,4396
29.0,0.6378,8.410191082802548e-06,4553
30.0,0.6187,8.010191082802548e-06,4710
31.0,0.6024,7.6101910828025485e-06,4867
32.0,0.5886,7.210191082802548e-06,5024
33.0,0.5758,6.8101910828025486e-06,5181
34.0,0.5643,6.410191082802548e-06,5338
35.0,0.5519,6.010191082802548e-06,5495
36.0,0.5413,5.610191082802548e-06,5652
37.0,0.5303,5.210191082802548e-06,5809
38.0,0.5216,4.810191082802548e-06,5966
39.0,0.5138,4.410191082802548e-06,6123
40.0,0.504,4.010191082802548e-06,6280
41.0,0.4983,3.6101910828025483e-06,6437
42.0,0.4911,3.210191082802548e-06,6594
43.0,0.4832,2.810191082802548e-06,6751
44.0,0.4784,2.410191082802548e-06,6908
45.0,0.4743,2.010191082802548e-06,7065
46.0,0.4689,1.610191082802548e-06,7222
47.0,0.4642,1.210191082802548e-06,7379
48.0,0.4636,8.101910828025478e-07,7536
49.0,0.4581,4.101910828025478e-07,7693
50.0,0.4588,1.0191082802547771e-08,7850