diff --git a/train.py b/train.py
index 4eddccb5..4344ee24 100644
--- a/train.py
+++ b/train.py
@@ -127,7 +127,8 @@ def train(accelerator, config):
             # log LR in case something weird happens 
             if step > 0 and step % (config["eval_every"] // 10) == 0:
                 if config["wandb"]:
-                    accelerator.log({"lr": scheduler.get_last_lr()[0]}, step=step)
+                    curr_step = step + epoch * len(train_dataloader)
+                    accelerator.log({"lr": scheduler.get_last_lr()[0]}, step=curr_step)
 
             if (step + 1) % gradient_accumulation_steps == 0 or step == len(train_dataloader) - 1:
                 optimizer.step()
@@ -151,7 +152,8 @@ def train(accelerator, config):
                 }
 
                 if config["wandb"]:
-                    accelerator.log({**log_train, **log_val}, step=step)
+                    curr_step = step + epoch * len(train_dataloader)
+                    accelerator.log({**log_train, **log_val}, step=curr_step)
 
                 accelerator.print(f"Current LR: {scheduler.get_last_lr()[0]}")
                 accelerator.print(format_metrics(log_train, "train", f" step {step} "))