Remove broken metadata

README.md

@@ -1,61 +1,3 @@
----
-tags:
-- spacy
-- token-classification
-language:
-- en
-license: MIT
-model-index:
-- name: en_core_web_sm
-  results:
-  - task:
-      name: NER
-      type: token-classification
-    metrics:
-    - name: NER Precision
-      type: precision
-      value: 0.8424355924
-    - name: NER Recall
-      type: recall
-      value: 0.8335336538
-    - name: NER F Score
-      type: f_score
-      value: 0.8379609817
-  - task:
-      name: POS
-      type: token-classification
-    metrics:
-    - name: POS Accuracy
-      type: accuracy
-      value: 0.9720712187
-  - task:
-      name: SENTER
-      type: token-classification
-    metrics:
-    - name: SENTER Precision
-      type: precision
-      value: 0.9074955788
-    - name: SENTER Recall
-      type: recall
-      value: 0.8801372122
-    - name: SENTER F Score
-      type: f_score
-      value: 0.893607046
-  - task:
-      name: UNLABELED_DEPENDENCIES
-      type: token-classification
-    metrics:
-    - name: Unlabeled Dependencies Accuracy
-      type: accuracy
-      value: 0.9185392711
-  - task:
-      name: LABELED_DEPENDENCIES
-      type: token-classification
-    metrics:
-    - name: Labeled Dependencies Accuracy
-      type: accuracy
-      value: 0.9185392711
----
 ### Details: https://spacy.io/models/en#en_core_web_sm
 
 English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
@@ -100,4 +42,4 @@ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
 | `ENTS_F` | 83.80 |
 | `SENTS_P` | 90.75 |
 | `SENTS_R` | 88.01 |
-| `SENTS_F` | 89.36 |
+| `SENTS_F` | 89.36 |