Remove broken metadata

README.md

@@ -1,61 +1,3 @@
----
-tags:
-- spacy
-- token-classification
-language:
-- en
-license: MIT
-model-index:
-- name: en_core_web_lg
-  results:
-  - tasks:
-      name: NER
-      type: token-classification
-      metrics:
-      - name: Precision
-        type: precision
-        value: 0.8537926165
-      - name: Recall
-        type: recall
-        value: 0.8478064904
-      - name: F Score
-        type: f_score
-        value: 0.850789024
-  - tasks:
-      name: POS
-      type: token-classification
-      metrics:
-      - name: Accuracy
-        type: accuracy
-        value: 0.9728657496
-  - tasks:
-      name: SENTER
-      type: token-classification
-      metrics:
-      - name: Precision
-        type: precision
-        value: 0.9029447521
-      - name: Recall
-        type: recall
-        value: 0.8819183323
-      - name: F Score
-        type: f_score
-        value: 0.8923076923
-  - tasks:
-      name: UNLABELED_DEPENDENCIES
-      type: token-classification
-      metrics:
-      - name: Accuracy
-        type: accuracy
-        value: 0.9184566079
-  - tasks:
-      name: LABELED_DEPENDENCIES
-      type: token-classification
-      metrics:
-      - name: Accuracy
-        type: accuracy
-        value: 0.9184566079
----
 ### Details: https://spacy.io/models/en#en_core_web_lg
 
 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` | 85.08 |
 | `SENTS_P` | 90.29 |
 | `SENTS_R` | 88.19 |
-| `SENTS_F` | 89.23 |
+| `SENTS_F` | 89.23 |