Remove broken metadata

README.md

@@ -1,61 +1,3 @@
----
-tags:
-- spacy
-- token-classification
-language:
-- fr
-license: LGPL-LR
-model-index:
-- name: fr_core_news_sm
-  results:
-  - tasks:
-      name: NER
-      type: token-classification
-      metrics:
-      - name: Precision
-        type: precision
-        value: 0.8141885091
-      - name: Recall
-        type: recall
-        value: 0.8094952164
-      - name: F Score
-        type: f_score
-        value: 0.8118350797
-  - tasks:
-      name: POS
-      type: token-classification
-      metrics:
-      - name: Accuracy
-        type: accuracy
-        value: 0.934480272
-  - tasks:
-      name: SENTER
-      type: token-classification
-      metrics:
-      - name: Precision
-        type: precision
-        value: 0.8642857143
-      - name: Recall
-        type: recall
-        value: 0.8902232487
-      - name: F Score
-        type: f_score
-        value: 0.8725961538
-  - tasks:
-      name: UNLABELED_DEPENDENCIES
-      type: token-classification
-      metrics:
-      - name: Accuracy
-        type: accuracy
-        value: 0.8787913869
-  - tasks:
-      name: LABELED_DEPENDENCIES
-      type: token-classification
-      metrics:
-      - name: Accuracy
-        type: accuracy
-        value: 0.8787913869
----
 ### Details: https://spacy.io/models/fr#fr_core_news_sm
 
 French pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.
@@ -103,4 +45,4 @@ French pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, s
 | `SENTS_F` | 87.26 |
 | `ENTS_P` | 81.42 |
 | `ENTS_R` | 80.95 |
-| `ENTS_F` | 81.18 |
+| `ENTS_F` | 81.18 |