mgkim321/roberta-base-klue-ynat-classification

README.md

@@ -17,8 +17,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5598
-- Accuracy: 0.86
+- Loss: 0.4877
+- Accuracy: 0.853
 
 ## Model description
 
@@ -49,7 +49,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4671        | 1.0   | 1250 | 0.6612          | 0.829    |
+| 0.5435        | 1.0   | 1250 | 0.5473          | 0.839    |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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