diff --git a/llmfoundry/data/packing.py b/llmfoundry/data/packing.py
index 753281fcb6..7f389e00a9 100644
--- a/llmfoundry/data/packing.py
+++ b/llmfoundry/data/packing.py
@@ -3,18 +3,27 @@
 
 import logging
 import tempfile
+from io import StringIO
 from typing import Callable, Dict, Iterable, List, Literal, Optional, Tuple
 
 import numpy as np
 import torch
 from omegaconf import DictConfig
 from tqdm import tqdm
-from tqdm.contrib.logging import logging_redirect_tqdm
 from transformers import PreTrainedTokenizerBase
 
 log = logging.getLogger(__name__)
 
 
+class LogIO(StringIO):
+
+    def __init__(self, log: logging.Logger):
+        self.log = log
+
+    def write(self, message: str):
+        self.log.debug(message)
+
+
 class BinPackCollator:
     """Utility collator for packing to reduce padding."""
 
@@ -452,10 +461,11 @@ def profile(raw_batch_size: int) -> Tuple[Optional[float], Optional[float]]:
         return padding_percent, waste_percent
 
     log.info('Profiling packing ratios')
-    with logging_redirect_tqdm(loggers=[log]):
-        for packing_ratio, raw_batch_size in (pbar := tqdm(
-                zip(packing_ratios, raw_batch_sizes),
-                desc='Profiling packing ratios')):
-            pbar.set_description_str(f'Profiling packing ratio {packing_ratio}')
-            padding, waste = profile(raw_batch_size)
-            yield (packing_ratio, padding, waste)
+    for packing_ratio, raw_batch_size in (pbar :=
+                                          tqdm(zip(packing_ratios,
+                                                   raw_batch_sizes),
+                                               desc='Profiling packing ratios',
+                                               file=LogIO(log))):
+        pbar.set_description_str(f'Profiling packing ratio {packing_ratio}')
+        padding, waste = profile(raw_batch_size)
+        yield (packing_ratio, padding, waste)