End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9546
-- Accuracy: 0.8005
+- Loss: 1.0362
+- Accuracy: 0.802
 
 ## Model description
 
@@ -47,11 +47,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.1257        | 1.0   | 1500 | 1.1384          | 0.793    |
-| 1.0275        | 2.0   | 3000 | 0.8672          | 0.809    |
-| 0.8479        | 3.0   | 4500 | 0.9546          | 0.8005   |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.9662        | 1.0   | 8000  | 0.9848          | 0.793    |
+| 0.8798        | 2.0   | 16000 | 1.0511          | 0.8013   |
+| 0.8005        | 3.0   | 24000 | 1.0362          | 0.802    |
 
 
 ### Framework versions

pytorch_model.bin

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training_args.bin

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