diff --git a/torchtitan/tools/metrics.py b/torchtitan/tools/metrics.py
index f302d25c92..9a99b586c1 100644
--- a/torchtitan/tools/metrics.py
+++ b/torchtitan/tools/metrics.py
@@ -15,7 +15,7 @@
 from torchtitan.config_manager import JobConfig
 from torchtitan.distributed import ParallelDims
 from torchtitan.tools.logging import logger
-from torchtitan.tools.utils import device_module, device_type
+from torchtitan.tools.utils import Color, device_module, device_type
 
 # named tuple for passing device memory stats for logging
 DeviceMemStats = namedtuple(
@@ -154,6 +154,38 @@ def close(self) -> None:
             self.wandb.finish()
 
 
+def ensure_pp_loss_visible(
+    parallel_dims: ParallelDims, job_config: JobConfig, color: Color
+) -> None:
+    """
+    Ensures that the loss is visible on the console for pipeline-parallel training.
+
+    For pipeline-parallel training, the loss is only visible on the last pipeline stage.
+    This function checks if the appropriate rank is included in the LOG_RANK environment
+    variable and warns if it's not.
+    """
+
+    # V Block Schedules return loss on rank 0
+    if job_config.experimental.pipeline_parallel_schedule == "ZBVZeroBubble":
+        return
+
+    # Calculate the rank where loss is visible (first rank of the last pipeline stage)
+    world_size = parallel_dims.world_size
+    pp_size = parallel_dims.pp
+    loss_visible_rank = (world_size // pp_size) * (pp_size - 1)
+
+    # Check if the loss-visible rank is included in LOG_RANK environment variable
+    env_logged_ranks = os.environ.get("LOG_RANK", "").split(",")
+    if env_logged_ranks == [""]:
+        env_logged_ranks = []
+
+    if str(loss_visible_rank) not in env_logged_ranks:
+        logger.warning(
+            f"{color.red}Pipeline parallel loss is not visible. "
+            f"Add {color.yellow}rank {loss_visible_rank}{color.red} to LOG_RANK environment variable in run_train.sh.{color.reset}"
+        )
+
+
 def _get_metrics_rank(
     parallel_dims: ParallelDims,
     job_config: JobConfig,
diff --git a/torchtitan/train.py b/torchtitan/train.py
index 630626dbec..0993cd2614 100644
--- a/torchtitan/train.py
+++ b/torchtitan/train.py
@@ -21,7 +21,11 @@
 
 from torchtitan.tools import utils
 from torchtitan.tools.logging import init_logger, logger
-from torchtitan.tools.metrics import build_device_memory_monitor, build_metric_logger
+from torchtitan.tools.metrics import (
+    build_device_memory_monitor,
+    build_metric_logger,
+    ensure_pp_loss_visible,
+)
 from torchtitan.tools.profiling import (
     maybe_enable_memory_snapshot,
     maybe_enable_profiling,
@@ -185,6 +189,10 @@ def main(job_config: JobConfig):
             with torch.no_grad():
                 m.init_weights(buffer_device=buffer_device)
             m.train()
+
+        # confirm that user will be able to view loss metrics on the console
+        ensure_pp_loss_visible(parallel_dims, job_config, color)
+
     else:
         # apply PT-D Tensor Parallel, activation checkpointing, torch.compile, Data Parallel
         train_spec.parallelize_fn(model, world_mesh, parallel_dims, job_config)