Remove broken metadata

README.md

@@ -1,61 +1,3 @@
----
-tags:
-- spacy
-- token-classification
-language:
-- ru
-license: MIT
-model-index:
-- name: ru_core_news_lg
-  results:
-  - tasks:
-      name: NER
-      type: token-classification
-      metrics:
-      - name: Precision
-        type: precision
-        value: 0.9431002837
-      - name: Recall
-        type: recall
-        value: 0.9513549907
-      - name: F Score
-        type: f_score
-        value: 0.9472096531
-  - tasks:
-      name: POS
-      type: token-classification
-      metrics:
-      - name: Accuracy
-        type: accuracy
-        value: 0.9893902082
-  - tasks:
-      name: SENTER
-      type: token-classification
-      metrics:
-      - name: Precision
-        type: precision
-        value: 0.9988584475
-      - name: Recall
-        type: recall
-        value: 0.9988584475
-      - name: F Score
-        type: f_score
-        value: 0.9988584475
-  - tasks:
-      name: UNLABELED_DEPENDENCIES
-      type: token-classification
-      metrics:
-      - name: Accuracy
-        type: accuracy
-        value: 0.9621254207
-  - tasks:
-      name: LABELED_DEPENDENCIES
-      type: token-classification
-      metrics:
-      - name: Accuracy
-        type: accuracy
-        value: 0.9621254207
----
 ### Details: https://spacy.io/models/ru#ru_core_news_lg
 
 Russian pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.
@@ -103,4 +45,4 @@ Russian pipeline optimized for CPU. Components: tok2vec, morphologizer, parser,
 | `ENTS_F` | 94.72 |
 | `SENTS_P` | 99.89 |
 | `SENTS_R` | 99.89 |
-| `SENTS_F` | 99.89 |
+| `SENTS_F` | 99.89 |