diff --git a/src/axolotl/core/trainers/base.py b/src/axolotl/core/trainers/base.py
index 8adafd42d..aae3d28fb 100644
--- a/src/axolotl/core/trainers/base.py
+++ b/src/axolotl/core/trainers/base.py
@@ -604,6 +604,7 @@ class AxolotlTrainer(
         """
         # logs either has 'loss' or 'eval_loss'
         train_eval = "train" if "loss" in logs else "eval"
+        metric_ndigits = int(os.getenv("AXOLOTL_METRIC_NDIGITS", "5"))
 
         for key, metric_data in self._stored_metrics[train_eval].items():
             values = torch.tensor(metric_data["values"])  # type: ignore[arg-type]
@@ -614,16 +615,16 @@ class AxolotlTrainer(
                 raise NotImplementedError(
                     "Metric reduction must be one of [mean, min, max, sum]"
                 )
-            logs[key] = round(fn(values).item(), 4)
+            logs[key] = round(fn(values).item(), metric_ndigits)
 
         if "loss" in logs:
             try:
-                logs["ppl"] = round(math.exp(logs["loss"]), 4)
+                logs["ppl"] = round(math.exp(logs["loss"]), metric_ndigits)
             except OverflowError:
                 logs["ppl"] = float("inf")
         if "eval_loss" in logs:
             try:
-                logs["eval_ppl"] = round(math.exp(logs["eval_loss"]), 4)
+                logs["eval_ppl"] = round(math.exp(logs["eval_loss"]), metric_ndigits)
             except OverflowError:
                 logs["eval_ppl"] = float("inf")