diff --git a/pokemonred_puffer/cleanrl_puffer.py b/pokemonred_puffer/cleanrl_puffer.py
index ec21099..31438e7 100644
--- a/pokemonred_puffer/cleanrl_puffer.py
+++ b/pokemonred_puffer/cleanrl_puffer.py
@@ -206,7 +206,7 @@ def evaluate(self):
         if (
             hasattr(self.config, "swarm_frequency")
             and hasattr(self.config, "swarm_keep_pct")
-            and self.update % self.config.swarm_frequency == 0
+            and self.epoch % self.config.swarm_frequency == 0
             and "reward/event" in self.infos
         ):
             # collect the top swarm_keep_pct % of envs
@@ -291,18 +291,16 @@ def evaluate(self):
                 # Moves into models... maybe. Definitely moves.
                 # You could also just return infos and have it in demo
                 if "pokemon_exploration_map" in self.infos and self.config.save_overlay is True:
-                    if self.update % self.config.overlay_interval == 0:
+                    if self.epoch % self.config.overlay_interval == 0:
                         overlay = make_pokemon_red_overlay(
                             np.stack(self.infos["pokemon_exploration_map"], axis=0)
                         )
                         if self.wandb_client is not None:
-                            self.stats["Media/aggregate_exploration_map"] = self.wandb_client.Image(
-                                overlay
-                            )
+                            self.stats["Media/aggregate_exploration_map"] = wandb.Image(overlay)
 
                 for k, v in self.infos.items():
                     if "_map" in k and self.wandb_client is not None:
-                        self.stats[f"Media/{k}"] = self.wandb_client.Image(v[0])
+                        self.stats[f"Media/{k}"] = wandb.Image(v[0])
                         continue
                     elif "state" in k:
                         pass
@@ -467,9 +465,9 @@ def train(self):
                     self.last_log_time = time.time()
                     self.wandb_client.log(
                         {
-                            "0verview/SPS": self.profile.SPS,
-                            "0verview/agent_steps": self.global_step,
-                            "0verview/learning_rate": self.optimizer.param_groups[0]["lr"],
+                            "Overview/SPS": self.profile.SPS,
+                            "Overview/agent_steps": self.global_step,
+                            "Overview/learning_rate": self.optimizer.param_groups[0]["lr"],
                             **{f"environment/{k}": v for k, v in self.stats.items()},
                             **{f"losses/{k}": v for k, v in self.losses.__dict__.items()},
                             **{f"performance/{k}": v for k, v in self.profile},
@@ -486,7 +484,7 @@ def close(self):
 
         if self.wandb_client is not None:
             artifact_name = f"{self.exp_name}_model"
-            artifact = self.wandb_client.Artifact(artifact_name, type="model")
+            artifact = wandb.Artifact(artifact_name, type="model")
             model_path = self.save_checkpoint()
             artifact.add_file(model_path)
             self.wandb_client.run.log_artifact(artifact)