Update README.md

README.md

@@ -1,13 +1,18 @@
 ---
-language:
-- es
-base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
-pipeline_tag: text-classification
+language: es
 tags:
   - sentiment-analysis
   - text-classification
   - spanish
   - xlm-roberta
+license: mit
+datasets:
+  - custom
+metrics:
+  - accuracy
+  - f1
+library_name: transformers
+pipeline_tag: text-classification
 widget:
   - text: "Me encanta este producto, es excelente!"
     example_title: "Ejemplo positivo"
@@ -15,7 +20,29 @@ widget:
     example_title: "Ejemplo neutro"
   - text: "Este servicio es terrible, nunca lo recomendaría."
     example_title: "Ejemplo negativo"
-
+model-index:
+  - name: bert-bregman
+    results:
+      - task:
+          type: text-classification
+          name: Sentiment Analysis
+        dataset:
+          name: Custom Spanish Sentiment Dataset
+          type: custom
+        metrics:
+          - type: accuracy
+            value: 0.7432432432432432
+          - type: f1
+            value: 0.7330748170322471
+architectures:
+  - XLMRobertaForSequenceClassification
+transformers_version: "4.41.2"
+base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment
+inference:
+  parameters:
+    temperature: 1.0
+    max_length: 512
+    num_return_sequences: 1
 ---
 
 # BERT Bregman - Modelo de Análisis de Sentimientos en Español