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README.md

@@ -18,7 +18,7 @@ model_index:
     metric:
       name: Accuracy
       type: accuracy
-      value: 0.32566666666666666
+      value: 0.156
 ---
 
 <!-- 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: 0.9635
-- Accuracy: 0.3257
+- Loss: 0.7357
+- Accuracy: 0.156
 
 ## 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  | 0.9635          | 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    |
+| No log        | 1.0   | 196  | 0.7357          | 0.156    |
+| No log        | 2.0   | 392  | 0.5952          | 0.0993   |
+| 0.543         | 3.0   | 588  | 0.5630          | 0.099    |
+| 0.543         | 4.0   | 784  | 0.5670          | 0.079    |
+| 0.543         | 5.0   | 980  | 0.5795          | 0.078    |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b2ca1ce22b75cd6d3801a177c5457adb50c25eb5bb2ba479422dddd2212ce873
+oid sha256:4e6f16194f9161253930940e07b5e58c9a8cb56be119f865c66c3ab49d9b8ff3
 size 442562733