Upload loss_data.csv

loss_data.csv

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+epoch,loss,learning_rate,step
+1.0,6.1304,1.9805095541401275e-05,157
+2.0,4.5718,1.9605095541401277e-05,314
+3.0,4.2326,1.9405095541401276e-05,471
+4.0,3.2706,1.9205095541401274e-05,628
+5.0,2.4704,1.9005095541401276e-05,785
+6.0,2.0681,1.8805095541401275e-05,942
+7.0,1.8095,1.8605095541401273e-05,1099
+8.0,1.6406,1.8405095541401275e-05,1256
+9.0,1.5208,1.8205095541401277e-05,1413
+10.0,1.4213,1.8005095541401276e-05,1570
+11.0,1.3338,1.7805095541401277e-05,1727
+12.0,1.2595,1.7605095541401276e-05,1884
+13.0,1.1951,1.7405095541401274e-05,2041
+14.0,1.132,1.7205095541401276e-05,2198
+15.0,1.0813,1.7005095541401275e-05,2355
+16.0,1.0298,1.6805095541401273e-05,2512
+17.0,0.9858,1.6605095541401275e-05,2669
+18.0,0.9404,1.6405095541401274e-05,2826
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+20.0,0.8658,1.6005095541401274e-05,3140
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+35.0,0.5095,1.3005095541401276e-05,5495
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+51.0,0.3283,9.805095541401274e-06,8007
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+53.0,0.3134,9.405095541401275e-06,8321
+54.0,0.3053,9.205095541401275e-06,8478
+55.0,0.2979,9.005095541401274e-06,8635
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+74.0,0.2051,5.206369426751593e-06,11618
+75.0,0.2018,5.0063694267515925e-06,11775
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+95.0,0.1618,1.0076433121019109e-06,14915
+96.0,0.1612,8.076433121019109e-07,15072
+97.0,0.1595,6.076433121019109e-07,15229
+98.0,0.1583,4.0764331210191083e-07,15386
+99.0,0.1591,2.0764331210191084e-07,15543
+100.0,0.1575,7.643312101910828e-09,15700