update model card README.md

README.md

@@ -1,5 +1,5 @@
 ---
-license: cc-by-nc-sa-4.0
+license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.37186865267433983
+      value: 0.42450291223137177
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-base-multilingual-cased-finetuned-klue-ner
 
-This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on the klue dataset.
+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: 0.4123
-- F1: 0.3719
+- Loss: 0.3168
+- F1: 0.4245
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.6113        | 1.0   | 1313 | 0.5320          | 0.2107 |
-| 0.3942        | 2.0   | 2626 | 0.4888          | 0.2891 |
-| 0.2845        | 3.0   | 3939 | 0.4123          | 0.3719 |
+| 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 |
 
 
 ### Framework versions