diff --git a/detectron2/config/defaults.py b/detectron2/config/defaults.py
index 506651730e..7af828b4d4 100644
--- a/detectron2/config/defaults.py
+++ b/detectron2/config/defaults.py
@@ -654,3 +654,7 @@
 # Do not commit any configs into it.
 _C.GLOBAL = CN()
 _C.GLOBAL.HACK = 1.0
+
+# Period (measured in iterations) for writing logs during training
+_C.TRAINER = CN()
+_C.TRAINER.LOG_PERIOD = 20
diff --git a/detectron2/engine/defaults.py b/detectron2/engine/defaults.py
index 3dbcd86b75..84587534c2 100644
--- a/detectron2/engine/defaults.py
+++ b/detectron2/engine/defaults.py
@@ -496,7 +496,7 @@ def test_and_save_results():
         if comm.is_main_process():
             # Here the default print/log frequency of each writer is used.
             # run writers in the end, so that evaluation metrics are written
-            ret.append(hooks.PeriodicWriter(self.build_writers(), period=20))
+            ret.append(hooks.PeriodicWriter(self.build_writers(), period=cfg.TRAINER.LOG_PERIOD))
         return ret
 
     def build_writers(self):
diff --git a/tests/test_trainer.py b/tests/test_trainer.py
new file mode 100644
index 0000000000..4f2e0229b2
--- /dev/null
+++ b/tests/test_trainer.py
@@ -0,0 +1,39 @@
+import unittest
+from detectron2.config import get_cfg
+from detectron2.engine import DefaultTrainer
+from detectron2.data import DatasetCatalog, MetadataCatalog
+
+class TestTrainer(unittest.TestCase):
+    def test_log_period(self):
+        cfg = get_cfg()
+        cfg.TRAINER.LOG_PERIOD = 1
+
+        # Add minimum required config for trainer initialization
+        cfg.DATASETS.TRAIN = ("dummy_dataset",)
+        cfg.MODEL.DEVICE = "cpu"
+        cfg.OUTPUT_DIR = "."
+
+
+
+        def dummy_dataset():
+            return [{
+                "file_name": "dummy.jpg",
+                "height": 500,
+                "width": 500,
+                "image_id": 1,
+                "annotations": [{
+                    "bbox": [0, 0, 10, 10],
+                    "bbox_mode": 0,  # XYXY_ABS
+                    "category_id": 0,
+                    "iscrowd": 0,
+                }]
+            }]
+
+        # Register a dummy dataset with one sample
+        DatasetCatalog.register("dummy_dataset", dummy_dataset)
+        MetadataCatalog.get("dummy_dataset").set(thing_classes=["dummy"])
+
+        trainer = DefaultTrainer(cfg)
+        hooks = trainer.build_hooks()
+        writer_hook = hooks[-1]  # PeriodicWriter should be last hook
+        self.assertEqual(writer_hook._period, 1, "Log period from config not properly set")