Update README.md

README.md

@@ -1,5 +1,5 @@
 ---
-license: mit
+license: cc
 datasets:
 - vector-institute/NMB-Plus-Named-Entities
 base_model:
@@ -8,24 +8,24 @@ pipeline_tag: token-classification
 tags:
 - ner
 - bias_detection
-
 model-index:
 - name: nmb-plus-bias-ner-bert
   results:
   - task:
-      type: named-entity-recognition             # Required. Example: automatic-speech-recognition
-      name: Named Entity Recognition (NER)             # Optional. Example: Speech Recognition
+      type: named-entity-recognition
+      name: Named Entity Recognition (NER)
     dataset:
-      type: vector-institute/NMB-Plus-Named-Entities          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
-      name: Biased Named Entities          # Required. A pretty name for the dataset. Example: Common Voice (French)
+      type: vector-institute/NMB-Plus-Named-Entities
+      name: Biased Named Entities
     metrics:
-      - type: precision         # Required. Example: wer. Use metric id from https://hf.co/metrics
-        value: 0.6405       # Required. Example: 20.90
-      - type: recall
-        value: 0.5589
-      - type: f1
-        value: 0.5922
-
+    - type: precision
+      value: 0.6405
+    - type: recall
+      value: 0.5589
+    - type: f1
+      value: 0.5922
+language:
+- en
 ---
 
 # Model Overview
@@ -118,4 +118,4 @@ We used common classification metrics:
 
 Total energy consumption for fine-tuning is 0.032804 kWh
 
-**Local CO2 Emission:**  Approximately 3.12 grams of CO₂ equivalent.
+**Local CO2 Emission:**  Approximately 3.12 grams of CO₂ equivalent.