update model card README.md

README.md

@@ -2,7 +2,7 @@
 tags:
 - generated_from_trainer
 datasets:
-- nsmc
+- klue
 metrics:
 - accuracy
 model-index:
@@ -12,13 +12,13 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: nsmc
-      type: nsmc
-      args: default
+      name: klue
+      type: klue
+      args: ynat
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8978
+      value: 0.8329856154606347
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -26,10 +26,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # kcbert-base-finetuned
 
-This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the nsmc dataset.
+This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the klue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6977
-- Accuracy: 0.8978
+- Loss: 0.7393
+- Accuracy: 0.8330
 
 ## Model description
 
@@ -60,11 +60,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.152         | 1.0   | 9375  | 0.3803          | 0.8880   |
-| 0.1741        | 2.0   | 18750 | 0.3669          | 0.892    |
-| 0.105         | 3.0   | 28125 | 0.5072          | 0.8975   |
-| 0.054         | 4.0   | 37500 | 0.6541          | 0.8966   |
-| 0.0302        | 5.0   | 46875 | 0.6977          | 0.8978   |
+| 0.4612        | 1.0   | 2855  | 0.5216          | 0.8143   |
+| 0.3061        | 2.0   | 5710  | 0.5130          | 0.8248   |
+| 0.2129        | 3.0   | 8565  | 0.6062          | 0.8257   |
+| 0.1337        | 4.0   | 11420 | 0.7393          | 0.8330   |
+| 0.0653        | 5.0   | 14275 | 0.8651          | 0.8302   |
 
 
 ### Framework versions