Update README.md

README.md

@@ -22,18 +22,34 @@ model-index:
   - task:
       type: token-classification
     dataset:
-      name: DrugTEMIST
-      type: DrugTEMIST
+      name: DrugTEMIST-cat
+      type: DrugTEMIST-cat
     metrics:
-      - name: precision (micro)
+      - name: precision
         type: precision
         value: 0.885
-      - name: recall (micro)
+      - name: recall
         type: recall
         value: 0.874
-      - name: f1 (micro)
+      - name: f1
         type: f1
         value: 0.879
+  - task:
+      type: token-classification
+    dataset:
+      name: CataCCC-drugs
+      type: CataCCC-drugs
+    metrics:
+      - name: precision
+        type: precision
+        value: 0.921
+      - name: recall
+        type: recall
+        value: 0.904
+      - name: f1
+        type: f1
+        value: 0.913
+
 widget:
 - text: "El diagnóstico definitivo de nuestro paciente fue de un Adenocarcinoma de pulmón cT2a cN3 cM1a Estadio IV (por una única lesión pulmonar contralateral) PD-L1 90%, EGFR negativo, ALK negativo y ROS-1 negativo."
 - text: "Durante el ingreso se realiza una TC, observándose un nódulo pulmonar en el LII y una masa renal derecha indeterminada. Se realiza punción biopsia del nódulo pulmonar, con hallazgos altamente sospechosos de carcinoma."
@@ -81,7 +97,8 @@ At the time of submission, no measures have been taken to estimate the bias embe
 The model was trained using the Barcelona Supercomputing Center infrastructure.
 
 ## Evaluation 
-Micro F1 Score: 0.879 on DrugTEMIST (Catalan Gold Standard)
+F1 Score: 0.879 on DrugTEMIST (Catalan Gold Standard)
+F1 Score: 0.913 on CataCCC-drugs (Catalan Gold Standard)
 
 ## Additional information