diff --git a/projects/FastAttr/fastattr/attr_evaluation.py b/projects/FastAttr/fastattr/attr_evaluation.py
index 3ab7247..eb06dde 100644
--- a/projects/FastAttr/fastattr/attr_evaluation.py
+++ b/projects/FastAttr/fastattr/attr_evaluation.py
@@ -36,6 +36,8 @@ class AttrEvaluator(DatasetEvaluator):
     @staticmethod
     def get_attr_metrics(gt_labels, pred_logits, thres):
 
+        eps = 1e-20
+
         pred_labels = copy.deepcopy(pred_logits)
         pred_labels[pred_logits < thres] = 0
         pred_labels[pred_logits >= thres] = 1
@@ -53,13 +55,13 @@ class AttrEvaluator(DatasetEvaluator):
         gt_labels = gt_labels.astype(bool)
         intersect = (pred_labels & gt_labels).astype(float)
         union = (pred_labels | gt_labels).astype(float)
-        ins_acc = (intersect.sum(axis=1) / union.sum(axis=1)).mean()
-        ins_prec = (intersect.sum(axis=1) / pred_labels.astype(float).sum(axis=1)).mean()
-        ins_rec = (intersect.sum(axis=1) / gt_labels.astype(float).sum(axis=1)).mean()
-        ins_f1 = (2 * ins_prec * ins_rec) / (ins_prec + ins_rec)
+        ins_acc = (intersect.sum(axis=1) / (union.sum(axis=1) + eps)).mean()
+        ins_prec = (intersect.sum(axis=1) / (pred_labels.astype(float).sum(axis=1) + eps)).mean()
+        ins_rec = (intersect.sum(axis=1) / (gt_labels.astype(float).sum(axis=1) + eps)).mean()
+        ins_f1 = (2 * ins_prec * ins_rec) / (ins_prec + ins_rec + eps)
 
-        term1 = correct_pos / real_pos
-        term2 = correct_neg / real_neg
+        term1 = correct_pos / (real_pos + eps)
+        term2 = correct_neg / (real_neg + eps)
         label_mA_verbose = (term1 + term2) * 0.5
         label_mA = label_mA_verbose.mean()