Update of Intel oprimized solver for resnet 50

models/intel_optimized_models/resnet_50/solver.prototxt

@@ -1,16 +1,26 @@
+#This is Intel(R) optimized (in terms of time to train) version of solver for model described in the [Deep Residual Learning for Image Recognition](https://arxiv.org/pdf/1512.03385v1) publication.
+#Original solver.prototxt can be found in /models/default_resnet_50/ directory of this repository.
+#Differences:
+#- gamma is set to 0.51
+#- stepsize is set to 60000
+#
+#Top-5 and Top-1 results achieved with this version of solver:
+#Top-5: 89.16%
+#Top-1: 68.86%
+#Training was performed using server equipped with Intel(R) Xeon Phi(TM) CPU 7250 processor. 
 net: "models/intel_optimized_models/resnet_50/train_val.prototxt"
 test_iter: 100
 test_interval: 10000
 test_initialization: false
 display: 40
 average_loss: 40
-base_lr: 0.12
+base_lr: 0.1
 lr_policy: "step"
-stepsize: 40000
-gamma: 0.61
+stepsize: 60000
+gamma: 0.51
 max_iter: 600000
 momentum: 0.9
 weight_decay: 0.0001
-snapshot: 40000
+snapshot: 50000
 snapshot_prefix: "models/intel_optimized_models/resnet_50/resnet_50"
 solver_mode: CPU