Update README.md

README.md

@@ -3,6 +3,8 @@ license: mit
 base_model: FacebookAI/xlm-roberta-large
 tags:
 - generated_from_trainer
+datasets:
+- wikiann
 metrics:
 - precision
 - recall
@@ -10,9 +12,29 @@ metrics:
 - accuracy
 model-index:
 - name: fine_tuned_XLMROBERTA_cs_wikann
-  results: []
-datasets:
-- wikiann
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: wikiann
+      type: wikiann
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.920336
+    - name: Recall
+      type: recall
+      value: 0.934218
+    - name: F1
+      type: f1
+      value: 0.927225	
+    - name: Accuracy
+      type: accuracy
+      value: 0.973202
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -20,7 +42,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # fine_tuned_XLMROBERTA_cs_wikann
 
-This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on an unknown dataset.
+This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on a czech wikiann dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1543
 - Precision: 0.9203