Update README.md

README.md

@@ -2,20 +2,41 @@
 language: es
 license: gpl-3.0
 tags:
-- spaCy
-- Token Classification
+- spacy
+- token-classification
 widget:
 - text: "Fue antes de llegar a Sigüeiro, en el Camino de Santiago."
 - text: "El proyecto lo financia el Ministerio de Industria y Competitividad."
 model-index:
 - name: es_spacy_ner_cds
-  results: []
+  results:
+  - task:
+      name: NER
+      type: token-classification
+    metrics:
+    - name: NER Precision (micro avg)
+      type: precision
+      value: 0.963
+    - name: NER Recall (micro avg)
+      type: recall
+      value: 0.958
+    - name: NER F Score (micro avg)
+      type: f_score
+      value: 0.961
 ---
 
 # Introduction
 
 spaCy NER model for Spanish trained in the domain of tourism related to the Way of Saint Jacques. It recognizes four types of entities: location (LOC), organizations (ORG), person (PER) and miscellaneous (MISC).
 
+| Feature | Description |
+| --- | --- |
+| **Name** | `es_spacy_ner_cds` |
+| **Version** | `0.0.1a` |
+| **spaCy** | `>=3.4.3,<3.5.0` |
+| **Pipeline** | `tok2vec`, `ner` |
+| **Components** | `tok2vec`, `ner` |
+
 ## Usage
 
 You can use this model with the spaCy *pipeline* for NER.