diff --git a/spacy/scorer.py b/spacy/scorer.py
index d8c383ab8..de4f52be6 100644
--- a/spacy/scorer.py
+++ b/spacy/scorer.py
@@ -174,7 +174,7 @@ class Scorer:
             prf_score.score_set(pred_spans, gold_spans)
         if len(acc_score) > 0:
             return {
-                "token_acc": acc_score.fscore,
+                "token_acc": acc_score.precision,
                 "token_p": prf_score.precision,
                 "token_r": prf_score.recall,
                 "token_f": prf_score.fscore,
diff --git a/spacy/tests/test_scorer.py b/spacy/tests/test_scorer.py
index b903f1669..dbb47b423 100644
--- a/spacy/tests/test_scorer.py
+++ b/spacy/tests/test_scorer.py
@@ -110,7 +110,7 @@ def test_tokenization(sented_doc):
     )
     example.predicted[1].is_sent_start = False
     scores = scorer.score([example])
-    assert scores["token_acc"] == approx(0.66666666)
+    assert scores["token_acc"] == 0.5
     assert scores["token_p"] == 0.5
     assert scores["token_r"] == approx(0.33333333)
     assert scores["token_f"] == 0.4
diff --git a/website/docs/api/scorer.md b/website/docs/api/scorer.md
index 9ef36e6fc..86e61da1e 100644
--- a/website/docs/api/scorer.md
+++ b/website/docs/api/scorer.md
@@ -76,7 +76,7 @@ core pipeline components, the individual score names start with the `Token` or
 
 Scores the tokenization:
 
-- `token_acc`: number of correct tokens / number of gold tokens
+- `token_acc`: number of correct tokens / number of predicted tokens
 - `token_p`, `token_r`, `token_f`: precision, recall and F-score for token
   character spans