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README.md

@@ -18,7 +18,7 @@ model_index:
     metric:
       name: Accuracy
       type: accuracy
-      value: 0.18566666666666667
+      value: 0.32566666666666666
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -28,8 +28,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the klue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9683
-- Accuracy: 0.1857
+- Loss: 0.9635
+- Accuracy: 0.3257
 
 ## Model description
 
@@ -60,11 +60,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 196  | 0.9683          | 0.1857   |
-| No log        | 2.0   | 392  | 0.6651          | 0.0997   |
-| 0.7562        | 3.0   | 588  | 0.6010          | 0.094    |
-| 0.7562        | 4.0   | 784  | 0.6062          | 0.091    |
-| 0.7562        | 5.0   | 980  | 0.6124          | 0.0877   |
+| No log        | 1.0   | 196  | 0.9635          | 0.3257   |
+| No log        | 2.0   | 392  | 0.6451          | 0.107    |
+| 0.7364        | 3.0   | 588  | 0.5975          | 0.0987   |
+| 0.7364        | 4.0   | 784  | 0.5967          | 0.0867   |
+| 0.7364        | 5.0   | 980  | 0.6034          | 0.087    |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3788202c7e8a29c2cfd7e4285e3f5846f2eb739c9b3f2504c8c9d15389d92566
+oid sha256:b2ca1ce22b75cd6d3801a177c5457adb50c25eb5bb2ba479422dddd2212ce873
 size 442562733