joshanashakya commited on
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Upload loss_data.csv

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  1. loss_data.csv +51 -0
loss_data.csv ADDED
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+ epoch,loss,learning_rate,step
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+ 1.0,6.2043,1.961019108280255e-05,157
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+ 2.0,4.5844,1.921019108280255e-05,314
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+ 3.0,4.1003,1.881019108280255e-05,471
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+ 4.0,2.7649,1.841019108280255e-05,628
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+ 5.0,2.1903,1.8010191082802547e-05,785
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+ 6.0,1.8997,1.761019108280255e-05,942
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+ 7.0,1.7038,1.721019108280255e-05,1099
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+ 8.0,1.56,1.681019108280255e-05,1256
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+ 9.0,1.4496,1.641019108280255e-05,1413
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+ 10.0,1.3551,1.601019108280255e-05,1570
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+ 11.0,1.2772,1.561019108280255e-05,1727
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+ 12.0,1.2073,1.521019108280255e-05,1884
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+ 13.0,1.1481,1.4810191082802549e-05,2041
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+ 14.0,1.0893,1.441019108280255e-05,2198
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+ 15.0,1.0422,1.4010191082802548e-05,2355
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+ 16.0,0.9928,1.3610191082802549e-05,2512
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+ 21.0,0.816,1.161019108280255e-05,3297
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+ 23.0,0.7595,1.0810191082802548e-05,3611
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+ 24.0,0.7349,1.0410191082802547e-05,3768
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+ 25.0,0.714,1.001019108280255e-05,3925
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+ 26.0,0.6929,9.61019108280255e-06,4082
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+ 27.0,0.6714,9.210191082802548e-06,4239
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+ 29.0,0.6378,8.410191082802548e-06,4553
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+ 30.0,0.6187,8.010191082802548e-06,4710
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+ 31.0,0.6024,7.6101910828025485e-06,4867
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+ 32.0,0.5886,7.210191082802548e-06,5024
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+ 33.0,0.5758,6.8101910828025486e-06,5181
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+ 35.0,0.5519,6.010191082802548e-06,5495
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+ 40.0,0.504,4.010191082802548e-06,6280
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+ 41.0,0.4983,3.6101910828025483e-06,6437
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+ 42.0,0.4911,3.210191082802548e-06,6594
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+ 48.0,0.4636,8.101910828025478e-07,7536
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+ 49.0,0.4581,4.101910828025478e-07,7693
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+ 50.0,0.4588,1.0191082802547771e-08,7850