update model card README.md

README.md

@@ -6,20 +6,20 @@ metrics:
 - accuracy
 - f1
 model-index:
-- name: bert-base-finetuned-emotion
+- name: bert-base-finetuned-code-classification-mid
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# bert-base-finetuned-emotion
+# bert-base-finetuned-code-classification-mid
 
-This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on an unknown dataset.
+This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1963
-- Accuracy: 0.9491
-- F1: 0.9477
+- Loss: 0.1966
+- Accuracy: 0.9483
+- F1: 0.9470
 
 ## Model description
 
@@ -50,12 +50,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.2877        | 1.0   | 4931 | 0.2105          | 0.9459   | 0.9443 |
-| 0.1629        | 2.0   | 9862 | 0.1963          | 0.9491   | 0.9477 |
+| 0.2817        | 1.0   | 4931 | 0.2113          | 0.9456   | 0.9441 |
+| 0.161         | 2.0   | 9862 | 0.1966          | 0.9483   | 0.9470 |
 
 
 ### Framework versions
 
 - Transformers 4.28.1
 - Pytorch 2.1.0+cu118
+- Datasets 2.15.0
 - Tokenizers 0.13.3