youngin99415/roberta-base-klue-ynat-classification

README.md

@@ -14,8 +14,8 @@ 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: 0.4408
-- Acc: 0.856
+- Loss: 0.4477
+- Acc: 0.857
 
 ## Model description
 
@@ -46,7 +46,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Acc   |
 |:-------------:|:-----:|:----:|:---------------:|:-----:|
-| 0.5838        | 1.0   | 625  | 0.4771          | 0.846 |
+| 0.565         | 1.0   | 625  | 0.4592          | 0.846 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 442518124

training_args.bin

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 size 4920