Update README.md

README.md

@@ -7,7 +7,6 @@ tags:
 - doclaynet
 - e5
 pipeline_tag: text-classification
-license: mit
 base_model: intfloat/multilingual-e5-large
 datasets:
 - pierreguillou/DocLayNet-base
@@ -23,21 +22,22 @@ model-index:
       name: DocLayNet
       type: pierreguillou/DocLayNet-base
     metrics:
-      - type: accuracy
-        value: 0.9719
-        name: Test Accuracy
-      - type: f1
-        value: 0.9720
-        name: Weighted F1 Score
-      - type: precision
-        value: 0.9732
-        name: Weighted Precision
-      - type: recall
-        value: 0.9719
-        name: Weighted Recall
-      - type: loss
-        value: 0.5192
-        name: Test Loss
+    - type: accuracy
+      value: 0.9719
+      name: Test Accuracy
+    - type: f1
+      value: 0.972
+      name: Weighted F1 Score
+    - type: precision
+      value: 0.9732
+      name: Weighted Precision
+    - type: recall
+      value: 0.9719
+      name: Weighted Recall
+    - type: loss
+      value: 0.5192
+      name: Test Loss
+library_name: transformers
 ---
 # Multilingual E5 for Document Classification (DocLayNet)
 This model is a fine-tuned version of intfloat/multilingual-e5-large for document text classification based on the DocLayNet dataset.
@@ -115,4 +115,4 @@ label_mapping = {
 }
 predicted_label = label_mapping[predicted_class]
 
-```
+```