diff --git a/train.py b/train.py
index f09f7b5..b09f6b8 100644
--- a/train.py
+++ b/train.py
@@ -104,7 +104,7 @@ train, test = supervised_values[0:-12], supervised_values[-12:]
 scaler, train_scaled, test_scaled = scale(train, test)
 
 # fit the model
-lstm_model = fit_lstm(train_scaled, 1, 3000, 4)
+lstm_model = fit_lstm(train_scaled, 1, 30, 4)
 # forecast the entire training dataset to build up state for forecasting
 train_reshaped = train_scaled[:, 0].reshape(len(train_scaled), 1, 1)
 lstm_model.predict(train_reshaped, batch_size=1)