diff --git a/tests/unittests/text/test_bertscore.py b/tests/unittests/text/test_bertscore.py
index 28668c66b54..43bd0a5c327 100644
--- a/tests/unittests/text/test_bertscore.py
+++ b/tests/unittests/text/test_bertscore.py
@@ -220,8 +220,36 @@ def test_bertscore_most_similar(idf: bool, batch_size: int):
         assert score["f1"][i] <= score["f1"][max_target], \
             f"pair: {preds[i], targets[i]} does not have a lower score than {preds[max_target], targets[max_target]}\n{i=}{max_target=}"
 
+@skip_on_connection_issues()
+@pytest.mark.skipif(not _TRANSFORMERS_GREATER_EQUAL_4_4, reason="test requires transformers>4.4")
+@pytest.mark.parametrize(
+    ["idf"],
+    [(False,),
+     (True,)],
+)
+def test_bertscore_most_similar_separate_calls(idf: bool):
+    """Tests that BERTScore actually gives the highest score to self-similarity."""
+    short = "hello there"
+    long = "master kenobi"
+    longer = "general kenobi"
+    
+    sentences = [short, long, longer]
+    pairs_to_compare = product(sentences,
+                               sentences)
+    preds, targets = list(zip(*list(product(sentences,
+                                            sentences))))
+    score = {"f1": [bert_score([pred],[target], idf=idf, lang="en",
+                                rescale_with_baseline=False)["f1"].item()
+                     for pred, target in pairs_to_compare]}
+    for i in range(len(preds)):
+        max_pred = i%(len(sentences))*(1 + len(sentences))
+        max_target = int(i/(len(sentences)))*(1 + len(sentences))
+        assert score["f1"][i] <= score["f1"][max_pred], \
+            f"pair: {preds[i], targets[i]} does not have a lower score than {preds[max_pred], targets[max_pred]}\n{i=}{max_pred=}"
+        assert score["f1"][i] <= score["f1"][max_target], \
+            f"pair: {preds[i], targets[i]} does not have a lower score than {preds[max_target], targets[max_target]}\n{i=}{max_target=}"
 
-
+    
 @skip_on_connection_issues()
 @pytest.mark.skipif(not _TRANSFORMERS_GREATER_EQUAL_4_4, reason="test requires transformers>4.4")
 @pytest.mark.parametrize(
@@ -251,7 +279,35 @@ def test_bertscore_symmetry(idf: bool, batch_size: int):
                     f"f1 score for {(preds[i], targets[i])} is not the same as {(preds[j], targets[j])}."
     pass
 
-        
+@skip_on_connection_issues()
+@pytest.mark.skipif(not _TRANSFORMERS_GREATER_EQUAL_4_4, reason="test requires transformers>4.4")
+@pytest.mark.parametrize(
+    ["idf"],
+    [(False,),
+     (True,)],
+)
+def test_bertscore_symmetry_separate_calls(idf: bool):
+    """Tests that BERTscore F1 score is symmetric between reference and prediction.
+    As F1 is symmetric, it should also be symmetric."""
+    short = "hello there"
+    long = "master kenobi"
+    longer = "general kenobi"
+    
+    sentences = [short, long, longer]
+    pairs_to_compare = product(sentences,
+                               sentences)
+    preds, targets = list(zip(*list(product(sentences,
+                                            sentences))))
+    score = {"f1": [bert_score([pred],[target], idf=idf, lang="en",
+                                rescale_with_baseline=False)["f1"].item()
+                     for pred, target in pairs_to_compare]}
+    for i in range(len(preds)):
+        for j in range(len(targets)):
+            if preds[i] == targets[j] and preds[j] == targets[i]:
+                assert score['f1'][i] == pytest.approx(score['f1'][j]), \
+                    f"f1 score for {(preds[i], targets[i])} is not the same as {(preds[j], targets[j])}."
+    pass
+
 @skip_on_connection_issues()
 @pytest.mark.skipif(not _TRANSFORMERS_GREATER_EQUAL_4_4, reason="test requires transformers>4.4")
 @pytest.mark.parametrize(