From d802c988a57d6afe4fca979384ba377ecc7edb66 Mon Sep 17 00:00:00 2001
From: Logan Bauman <logan_bauman@brown.edu>
Date: Fri, 6 May 2022 23:32:17 -0400
Subject: hi

---
 hyperparameters.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

(limited to 'hyperparameters.py')

diff --git a/hyperparameters.py b/hyperparameters.py
index b03db017..460543dc 100644
--- a/hyperparameters.py
+++ b/hyperparameters.py
@@ -9,17 +9,17 @@ 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 = 5000
+num_epochs = 1000
 
 """
 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 = 3e-2
+learning_rate = 1e-2
 
 momentum = 0.01
 
 alpha = 1e-2
 
-beta = 1e-5
+beta = 1e-4
-- 
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