From 00991837cc0bbb62b98ab3024ea795a18cf2dde8 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Sat, 7 May 2022 15:58:27 -0400
Subject: hi

---
 hyperparameters.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index 6c82a745..a15d04ac 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,14 +9,14 @@ Number of epochs. If you experiment with more complex networks you
 might need to increase this. Likewise if you add regularization that
 slows training.
 """
-num_epochs = 7000
+num_epochs = 10000
 
 """
 A critical parameter that can dramatically affect whether training
 succeeds or fails. The value for this depends significantly on which
 optimizer is used. Refer to the default learning rate parameter
 """
-learning_rate = 2e-3
+learning_rate = .002
 
 momentum = 0.01
 
-- 
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