diff --git a/ocpmodels/common/utils.py b/ocpmodels/common/utils.py
index 53b497e32d..8c47b0ab77 100644
--- a/ocpmodels/common/utils.py
+++ b/ocpmodels/common/utils.py
@@ -969,7 +969,7 @@ def check_traj_files(batch, traj_dir) -> bool:
     if traj_dir is None:
         return False
     traj_dir = Path(traj_dir)
-    traj_files = [traj_dir / f"{id}.traj" for id in batch[0].sid.tolist()]
+    traj_files = [traj_dir / f"{id}.traj" for id in batch.sid.tolist()]
     return all(fl.exists() for fl in traj_files)
 
 
diff --git a/ocpmodels/trainers/ocp_trainer.py b/ocpmodels/trainers/ocp_trainer.py
index 1ef82baf52..86bab1a9d7 100644
--- a/ocpmodels/trainers/ocp_trainer.py
+++ b/ocpmodels/trainers/ocp_trainer.py
@@ -316,6 +316,7 @@ def _compute_loss(self, out, batch):
 
             target = batch[target_name]
             pred = out[target_name]
+
             natoms = batch.natoms
             natoms = torch.repeat_interleave(natoms, natoms)
 
@@ -580,7 +581,7 @@ def run_relaxations(self, split="val"):
             if check_traj_files(
                 batch, self.config["task"]["relax_opt"].get("traj_dir", None)
             ):
-                logging.info(f"Skipping batch: {batch[0].sid.tolist()}")
+                logging.info(f"Skipping batch: {batch.sid.tolist()}")
                 continue
 
             relaxed_batch = ml_relax(