End of training

README.md

@@ -25,16 +25,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.8589035274118147
+      value: 0.8482029598308668
     - name: Recall
       type: recall
-      value: 0.8934571175950486
+      value: 0.8721739130434782
     - name: F1
       type: f1
-      value: 0.875839653304442
+      value: 0.8600214362272238
     - name: Accuracy
       type: accuracy
-      value: 0.9637768843436512
+      value: 0.9539427501754933
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -44,11 +44,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the cnec dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2922
-- Precision: 0.8589
-- Recall: 0.8935
-- F1: 0.8758
-- Accuracy: 0.9638
+- Loss: 0.3393
+- Precision: 0.8482
+- Recall: 0.8722
+- F1: 0.8600
+- Accuracy: 0.9539
 
 ## Model description