I0629 01:46:06.479586 2090364928 net.cpp:219] data does not need backward computation.
I0629 01:46:06.479591 2090364928 net.cpp:261] This network produces output accuracy
I0629 01:46:06.479598 2090364928 net.cpp:261] This network produces output loss
I0629 01:46:06.479719 2090364928 net.cpp:274] Network initialization done.
I0629 01:46:06.479893 2090364928 solver.cpp:60] Solver scaffolding done.
I0629 01:46:06.479986 2090364928 caffe.cpp:219] Starting Optimization
I0629 01:46:06.480036 2090364928 solver.cpp:279] Solving AlexNet
I0629 01:46:06.480064 2090364928 solver.cpp:280] Learning Rate Policy: step
I0629 01:46:06.611563 2090364928 solver.cpp:337] Iteration 0, Testing net (#0)
I0629 01:47:47.621381 2090364928 solver.cpp:404] Test net output #0: accuracy = 0.5
I0629 01:47:47.621454 2090364928 solver.cpp:404] Test net output #1: loss = 0.696434 (* 1 = 0.696434 loss)
I0629 01:48:00.851289 2090364928 solver.cpp:228] Iteration 0, loss = 0.701379
I0629 01:48:00.851326 2090364928 solver.cpp:244] Train net output #0: loss = 0.701379 (* 1 = 0.701379 loss)
I0629 01:48:00.851351 2090364928 sgd_solver.cpp:106] Iteration 0, lr = 0.001
I0629 02:22:59.889930 2090364928 solver.cpp:337] Iteration 100, Testing net (#0)
I0629 02:24:38.849248 2090364928 solver.cpp:404] Test net output #0: accuracy = 0.599999
I0629 02:24:38.851076 2090364928 solver.cpp:404] Test net output #1: loss = 0.71359 (* 1 = 0.71359 loss)
I0629 02:24:50.243051 2090364928 solver.cpp:228] Iteration 100, loss = 0.23183
I0629 02:24:50.243088 2090364928 solver.cpp:244] Train net output #0: loss = 0.23183 (* 1 = 0.23183 loss)
I0629 02:24:50.243098 2090364928 sgd_solver.cpp:106] Iteration 100, lr = 0.001
I0629 07:32:12.592731 2090364928 solver.cpp:337] Iteration 200, Testing net (#0)
I0629 07:33:57.453852 2090364928 solver.cpp:404] Test net output #0: accuracy = 0.5
I0629 07:33:57.454047 2090364928 solver.cpp:404] Test net output #1: loss = 2.90009 (* 1 = 2.90009 loss)
I0629 07:34:09.543332 2090364928 solver.cpp:228] Iteration 200, loss = 0.00113564
I0629 07:34:09.543375 2090364928 solver.cpp:244] Train net output #0: loss = 0.00113564 (* 1 = 0.00113564 loss)
I0629 07:34:09.543386 2090364928 sgd_solver.cpp:106] Iteration 200, lr = 0.001
I0629 08:49:23.774435 2090364928 solver.cpp:337] Iteration 300, Testing net (#0)
I0629 08:50:56.419193 2090364928 solver.cpp:404] Test net output #0: accuracy = 0.5
I0629 08:50:56.419250 2090364928 solver.cpp:404] Test net output #1: loss = 3.36429 (* 1 = 3.36429 loss)
I0629 08:51:06.988178 2090364928 solver.cpp:228] Iteration 300, loss = 0.000547573
I0629 08:51:06.988265 2090364928 solver.cpp:244] Train net output #0: loss = 0.000547573 (* 1 = 0.000547573 loss)