End of training

README.md

@@ -4,10 +4,10 @@ base_model: klue/roberta-base
 tags:
 - generated_from_trainer
 metrics:
+- accuracy
+- f1
 - precision
 - recall
-- f1
-- accuracy
 model-index:
 - name: roberta-base-hangul-2-hanja
   results: []
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
+- Accuracy: 1.0
+- F1: 1.0
 - Loss: 0.0000
 - Precision: 1.0
 - Recall: 1.0
-- F1: 1.0
-- Accuracy: 1.0
 
 ## Model description
 
@@ -164,7 +164,7 @@ The following hyperparameters were used during training:
 | 0.0001        | 107.0 | 103041 | 0.9995   | 0.9989 | 0.0008          | 0.9989    | 0.9989 |
 | 0.0001        | 108.0 | 104004 | 0.9996   | 0.9993 | 0.0008          | 0.9993    | 0.9993 |
 | 0.0           | 109.0 | 104967 | 0.9996   | 0.9989 | 0.0009          | 0.9989    | 0.9989 |
-| 0.0           | 110.0 | 105930 | 0.0000   | 1.0    | 1.0             | 1.0       | 1.0    |
+| 0.0           | 110.0 | 105930 | 1.0      | 1.0    | 0.0000          | 1.0       | 1.0    |
 
 
 ### Framework versions

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7ef8fd5c3b87a4826156adf92d528bd4233556723e9f04bb1b89fb57bd1c0ec2
+oid sha256:addddda6b19303e4eec589c046f0079365e49b8473a8cb1af2698a2fec54bf99
 size 5176