update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.42450291223137177
+      value: 0.8832194381169326
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the klue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3168
-- F1: 0.4245
+- Loss: 0.1330
+- F1: 0.8832
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.4374        | 1.0   | 1313 | 0.3941          | 0.3253 |
-| 0.2894        | 2.0   | 2626 | 0.3350          | 0.3949 |
-| 0.2265        | 3.0   | 3939 | 0.3168          | 0.4245 |
+| 0.17          | 1.0   | 1313 | 0.1354          | 0.8581 |
+| 0.0843        | 2.0   | 2626 | 0.1250          | 0.8787 |
+| 0.0492        | 3.0   | 3939 | 0.1330          | 0.8832 |
 
 
 ### Framework versions