Update README.md

README.md

@@ -1,4 +1,5 @@
 --- 
+license: mit
 datasets: 
   - xtreme
 language: 
@@ -7,5 +8,35 @@ language:
   - de
   - fr
   - es
-license: mit
+metrics:
+  - precision: 0.874
+  - recall: 0.880
+  - f1: 0.877
+  - accuracy: 0.943
+    
 ---
+
+# gunghio/xlm-roberta-base-finetuned-panx-ner
+
+This model was trained starting from xlm-roberta-base on a subset of xtreme dataset.
+
+`xtreme` datasets subsets used are: PAN-X.{lang}.
+
+Only 75% of the whole dataset was used.
+
+## Intended uses & limitations
+
+Fine-tuned model can be used for Named Entity Recognition in it, en, de, fr, and es.
+
+## Training and evaluation data
+
+Training dataset: [conll2003](https://huggingface.co/datasets/xtreme)
+
+### Training results
+
+It achieves the following results on the evaluation set:
+
+Precision: 0.8744154472771157
+Recall: 0.8791424269015351
+F1: 0.8767725659462058
+Accuracy: 0.9432040948504613