diff --git a/src/learn/learn.cpp b/src/learn/learn.cpp
index 5a540d31..3648a40f 100644
--- a/src/learn/learn.cpp
+++ b/src/learn/learn.cpp
@@ -744,6 +744,8 @@ namespace Learner
 
             newbob_decay = 1.0;
             newbob_num_trials = 2;
+            auto_lr_drop = 0;
+            last_lr_drop = 0;
             best_loss = std::numeric_limits<double>::infinity();
             latest_loss_sum = 0.0;
             latest_loss_count = 0;
@@ -797,6 +799,8 @@ namespace Learner
         shared_timed_mutex nn_mutex;
         double newbob_decay;
         int newbob_num_trials;
+        uint64_t auto_lr_drop;
+        uint64_t last_lr_drop;
         double best_loss;
         double latest_loss_sum;
         uint64_t latest_loss_count;
@@ -1295,7 +1299,21 @@ namespace Learner
                 latest_loss_sum = 0.0;
                 latest_loss_count = 0;
                 cout << "loss: " << latest_loss;
-                if (latest_loss < best_loss)
+                auto tot = sr.total_done.load();
+                if (auto_lr_drop)
+                {
+                    cout << " < best (" << best_loss << "), accepted" << endl;
+                    best_loss = latest_loss;
+                    best_nn_directory = Path::Combine((std::string)Options["EvalSaveDir"], dir_name);
+                    trials = newbob_num_trials;
+
+                    if (tot >= last_lr_drop + auto_lr_drop)
+                    {
+                        last_lr_drop = tot;
+                        global_learning_rate *= newbob_decay;
+                    }
+                }
+                else if (latest_loss < best_loss)
                 {
                     cout << " < best (" << best_loss << "), accepted" << endl;
                     best_loss = latest_loss;
@@ -1647,6 +1665,7 @@ namespace Learner
         uint64_t nn_batch_size = 1000;
         double newbob_decay = 0.5;
         int newbob_num_trials = 4;
+        uint64_t auto_lr_drop = 0;
         string nn_options;
 
         uint64_t eval_save_interval = LEARN_EVAL_SAVE_INTERVAL;
@@ -1729,6 +1748,7 @@ namespace Learner
             else if (option == "newbob_decay") is >> newbob_decay;
             else if (option == "newbob_num_trials") is >> newbob_num_trials;
             else if (option == "nn_options") is >> nn_options;
+            else if (option == "auto_lr_drop") is >> auto_lr_drop;
 
             else if (option == "eval_save_interval") is >> eval_save_interval;
             else if (option == "loss_output_interval") is >> loss_output_interval;
@@ -1972,6 +1992,7 @@ namespace Learner
 
         learn_think.newbob_decay = newbob_decay;
         learn_think.newbob_num_trials = newbob_num_trials;
+        learn_think.auto_lr_drop = auto_lr_drop;
 
         learn_think.eval_save_interval = eval_save_interval;
         learn_think.loss_output_interval = loss_output_interval;