diff --git a/numpy_ml/neural_nets/models/w2v.py b/numpy_ml/neural_nets/models/w2v.py
index 7cfbef1..55829d0 100644
--- a/numpy_ml/neural_nets/models/w2v.py
+++ b/numpy_ml/neural_nets/models/w2v.py
@@ -295,6 +295,7 @@ def _build_noise_distribution(self):
 
     def _train_epoch(self, corpus_fps, encoding):
         total_loss = 0
+        smooth_loss = 0
         batch_generator = self.minibatcher(corpus_fps, encoding)
         for ix, (X, target) in enumerate(batch_generator):
             loss = self._train_batch(X, target)
diff --git a/numpy_ml/rl_models/trainer.py b/numpy_ml/rl_models/trainer.py
index f2bdede..2d47aba 100644
--- a/numpy_ml/rl_models/trainer.py
+++ b/numpy_ml/rl_models/trainer.py
@@ -69,6 +69,7 @@ def train(
         t0 = time()
         render_every = np.inf if render_every is None else render_every
         sf = smooth_factor
+        smooth_tot = 0
 
         for ep in range(n_episodes):
             tot_rwd, duration, n_steps = self._train_episode(max_steps)