diff --git a/requirements-dev.txt b/requirements-dev.txt
index 7721a5c998e5..2e04e363f873 100644
--- a/requirements-dev.txt
+++ b/requirements-dev.txt
@@ -6,7 +6,7 @@ pytest-cov
 pytest-xdist
 dill
 # Test contrib dependencies
-tqdm<=4.48.0
+tqdm
 scikit-learn
 matplotlib
 tensorboardX
diff --git a/tests/ignite/contrib/handlers/test_tqdm_logger.py b/tests/ignite/contrib/handlers/test_tqdm_logger.py
index 7bdb6b6f13d6..8bc120b515ec 100644
--- a/tests/ignite/contrib/handlers/test_tqdm_logger.py
+++ b/tests/ignite/contrib/handlers/test_tqdm_logger.py
@@ -1,6 +1,7 @@
 # -*- coding: utf-8 -*-
 import sys
 import time
+from distutils.version import LooseVersion
 
 import numpy as np
 import pytest
@@ -15,6 +16,12 @@
     pytest.skip("Skip if on Windows", allow_module_level=True)
 
 
+def get_tqdm_version():
+    import tqdm
+
+    return LooseVersion(tqdm.__version__)
+
+
 def update_fn(engine, batch):
     a = 1
     engine.state.metrics["a"] = a
@@ -36,7 +43,10 @@ def test_pbar(capsys):
     err = captured.err.split("\r")
     err = list(map(lambda x: x.strip(), err))
     err = list(filter(None, err))
-    expected = "Epoch [2/2]: [1/2]  50%|█████     , a=1 [00:00<00:00]"
+    if get_tqdm_version() < LooseVersion("4.49.0"):
+        expected = "Epoch [2/2]: [1/2]  50%|█████     , a=1 [00:00<00:00]"
+    else:
+        expected = "Epoch [2/2]: [1/2]  50%|█████     , a=1 [00:00<?]"
     assert err[-1] == expected
 
 
@@ -57,7 +67,10 @@ def test_pbar_file(tmp_path):
     file = open(str(file_path), "r")
     lines = file.readlines()
 
-    expected = "Epoch [2/2]: [1/2]  50%|█████     , a=1 [00:00<00:00]\n"
+    if get_tqdm_version() < LooseVersion("4.49.0"):
+        expected = "Epoch [2/2]: [1/2]  50%|█████     , a=1 [00:00<00:00]\n"
+    else:
+        expected = "Epoch [2/2]: [1/2]  50%|█████     , a=1 [00:00<?]\n"
     assert lines[-2] == expected
 
 
@@ -132,7 +145,9 @@ def step(engine, batch):
     RunningAverage(alpha=0.5, output_transform=lambda x: x).attach(trainer, "batchloss")
 
     pbar = ProgressBar()
-    pbar.attach(trainer, metric_names=["batchloss",])
+    pbar.attach(
+        trainer, metric_names=["batchloss",],
+    )
 
     trainer.run(data=data, max_epochs=1)
 
@@ -141,7 +156,10 @@ def step(engine, batch):
     err = list(map(lambda x: x.strip(), err))
     err = list(filter(None, err))
     actual = err[-1]
-    expected = "Iteration: [1/2]  50%|█████     , batchloss=0.5 [00:00<00:00]"
+    if get_tqdm_version() < LooseVersion("4.49.0"):
+        expected = "Iteration: [1/2]  50%|█████     , batchloss=0.5 [00:00<00:00]"
+    else:
+        expected = "Iteration: [1/2]  50%|█████     , batchloss=0.5 [00:00<?]"
     assert actual == expected
 
 
@@ -172,7 +190,10 @@ def step(engine, batch):
     err = list(map(lambda x: x.strip(), err))
     err = list(filter(None, err))
     actual = err[-1]
-    expected = "Iteration: [1/2]  50%|█████     , another batchloss=1.5, batchloss=0.5 [00:00<00:00]"
+    if get_tqdm_version() < LooseVersion("4.49.0"):
+        expected = "Iteration: [1/2]  50%|█████     , another batchloss=1.5, batchloss=0.5 [00:00<00:00]"
+    else:
+        expected = "Iteration: [1/2]  50%|█████     , another batchloss=1.5, batchloss=0.5 [00:00<?]"
     assert actual == expected
 
 
@@ -192,7 +213,10 @@ def test_pbar_no_metric_names(capsys):
     err = list(map(lambda x: x.strip(), err))
     err = list(filter(None, err))
     actual = err[-1]
-    expected = "Epoch [2/2]: [1/2]  50%|█████      [00:00<00:00]"
+    if get_tqdm_version() < LooseVersion("4.49.0"):
+        expected = "Epoch [2/2]: [1/2]  50%|█████      [00:00<00:00]"
+    else:
+        expected = "Epoch [2/2]: [1/2]  50%|█████      [00:00<?]"
     assert actual == expected
 
 
@@ -210,7 +234,10 @@ def test_pbar_with_output(capsys):
     err = captured.err.split("\r")
     err = list(map(lambda x: x.strip(), err))
     err = list(filter(None, err))
-    expected = "Epoch [2/2]: [1/2]  50%|█████     , a=1 [00:00<00:00]"
+    if get_tqdm_version() < LooseVersion("4.49.0"):
+        expected = "Epoch [2/2]: [1/2]  50%|█████     , a=1 [00:00<00:00]"
+    else:
+        expected = "Epoch [2/2]: [1/2]  50%|█████     , a=1 [00:00<?]"
     assert err[-1] == expected
 
 
@@ -236,7 +263,10 @@ def test_pbar_with_scalar_output(capsys):
     err = captured.err.split("\r")
     err = list(map(lambda x: x.strip(), err))
     err = list(filter(None, err))
-    expected = "Epoch [2/2]: [1/2]  50%|█████     , output=1 [00:00<00:00]"
+    if get_tqdm_version() < LooseVersion("4.49.0"):
+        expected = "Epoch [2/2]: [1/2]  50%|█████     , output=1 [00:00<00:00]"
+    else:
+        expected = "Epoch [2/2]: [1/2]  50%|█████     , output=1 [00:00<?]"
     assert err[-1] == expected
 
 
@@ -254,7 +284,10 @@ def test_pbar_with_str_output(capsys):
     err = captured.err.split("\r")
     err = list(map(lambda x: x.strip(), err))
     err = list(filter(None, err))
-    expected = "Epoch [2/2]: [1/2]  50%|█████     , output=red [00:00<00:00]"
+    if get_tqdm_version() < LooseVersion("4.49.0"):
+        expected = "Epoch [2/2]: [1/2]  50%|█████     , output=red [00:00<00:00]"
+    else:
+        expected = "Epoch [2/2]: [1/2]  50%|█████     , output=red [00:00<?]"
     assert err[-1] == expected
 
 
@@ -363,7 +396,10 @@ def test_pbar_with_max_epochs_set_to_one(capsys):
     err = captured.err.split("\r")
     err = list(map(lambda x: x.strip(), err))
     err = list(filter(None, err))
-    expected = "Iteration: [1/2]  50%|█████     , a=1 [00:00<00:00]"
+    if get_tqdm_version() < LooseVersion("4.49.0"):
+        expected = "Iteration: [1/2]  50%|█████     , a=1 [00:00<00:00]"
+    else:
+        expected = "Iteration: [1/2]  50%|█████     , a=1 [00:00<?]"
     assert err[-1] == expected