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README.md

@@ -9,21 +9,25 @@ datasets:
 - FQuAD
 metrics:
 - accuracy
-pipeline_tag: text-classification
+pipeline_tag: question-answering
 library_name: transformers
 model-index:
 - name: almanach/camembertv2-base-fquad
   results:
   - task:
-      type: text-classification
-      name: Natural Language Inference
+      type: question-answering
+      name: FQuAD
     dataset:
       type: FQuAD
       name: FQuAD
     metrics:
-    - name: accuracy
-      type: accuracy
-      value: 
+    - name: f1
+      type: f1
+      value: 83.03359
+      verified: false
+    - name: Extact Match
+      type: em
+      value: 64.77415
       verified: false
 ---
 
@@ -41,9 +45,9 @@ The model is part of the almanach/camembertv2-base family of model finetunes.
 - **Model type:** roberta
 - **Language(s) (NLP):** French
 - **License:** MIT
-- **Finetuned from model [optional]:** almanach/camembertv2-base
+- **Finetuned from model :** almanach/camembertv2-base
 
-### Model Sources [optional]
+### Model Sources
 
 <!-- Provide the basic links for the model. -->
 
@@ -250,6 +254,7 @@ weight_decay: 0.0
 #### Results
 
 **F1-Score:** 83.03359
+**Exact Match:** 64.77415
 
 ## Technical Specifications