diff --git a/src/view_generators.py b/src/view_generators.py
index 27da0fc..af4ee8e 100644
--- a/src/view_generators.py
+++ b/src/view_generators.py
@@ -21,6 +21,7 @@ from abc import ABC, abstractmethod
 from pytorch_lightning import Trainer
 from pytorch_lightning.loggers import TensorBoardLogger
 from pytorch_lightning.callbacks.early_stopping import EarlyStopping
+from pytorch_lightning.callbacks.lr_monitor import LearningRateMonitor
 
 from src.data.datamodule import RecurrentDataModule, BertDataModule, tokenize
 from src.models.learners import *
@@ -240,6 +241,7 @@ class RecurrentGen(ViewGen):
         self.logger = TensorBoardLogger(save_dir='../tb_logs', name='rnn', default_hp_metric=False)
         self.early_stop_callback = EarlyStopping(monitor='val-macroF1', min_delta=0.00,
                                                  patience=self.patience, verbose=False, mode='max')
+        self.lr_monitor = LearningRateMonitor(logging_interval='epoch')
 
     def _init_model(self):
         if self.stored_path:
@@ -277,7 +279,7 @@ class RecurrentGen(ViewGen):
         create_if_not_exist(self.logger.save_dir)
         recurrentDataModule = RecurrentDataModule(self.multilingualIndex, batchsize=self.batch_size, n_jobs=self.n_jobs)
         trainer = Trainer(gradient_clip_val=1e-1, gpus=self.gpus, logger=self.logger, max_epochs=self.nepochs,
-                          callbacks=[self.early_stop_callback], checkpoint_callback=False)
+                          callbacks=[self.early_stop_callback, self.lr_monitor], checkpoint_callback=False)
 
         # vanilla_torch_model = torch.load(
         #     '../_old_checkpoint/gru_viewgen_-rcv1-2_doclist_trByLang1000_teByLang1000_processed_run0.pickle')