update model card README.md

README.md

@@ -1,6 +1,5 @@
 ---
 license: cc-by-sa-4.0
-base_model: klue/bert-base
 tags:
 - generated_from_trainer
 datasets:
@@ -22,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8690732980509929
+      value: 0.867061582237284
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +31,8 @@ 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: 0.3737
-- F1: 0.8691
+- Loss: 0.3721
+- F1: 0.8671
 
 ## Model description
 
@@ -64,16 +63,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 90   | 0.4250          | 0.8581 |
-| No log        | 2.0   | 180  | 0.4022          | 0.8635 |
-| No log        | 3.0   | 270  | 0.3765          | 0.8680 |
-| No log        | 4.0   | 360  | 0.3737          | 0.8691 |
-| No log        | 5.0   | 450  | 0.3699          | 0.8681 |
+| No log        | 1.0   | 90   | 0.4485          | 0.8503 |
+| No log        | 2.0   | 180  | 0.3877          | 0.8631 |
+| No log        | 3.0   | 270  | 0.3685          | 0.8670 |
+| No log        | 4.0   | 360  | 0.3721          | 0.8671 |
+| No log        | 5.0   | 450  | 0.3725          | 0.8662 |
 
 
 ### Framework versions
 
-- Transformers 4.31.0
+- Transformers 4.30.2
 - Pytorch 2.0.1+cu117
 - Datasets 2.13.1
 - Tokenizers 0.13.3