choiwonjin/roberta-base-klue-ynat-classification2

README.md

@@ -16,8 +16,8 @@ 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: 0.4448
-- Accuracy: 0.847
+- Loss: 0.4481
+- Accuracy: 0.851
 
 ## Model description
 
@@ -48,7 +48,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 313  | 0.4759          | 0.849    |
+| No log        | 1.0   | 313  | 0.4710          | 0.835    |
 
 
 ### Framework versions

model.safetensors

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runs/Aug08_17-27-38_ai/events.out.tfevents.1723105666.ai.3486.0

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runs/Aug08_17-27-38_ai/events.out.tfevents.1723105863.ai.3486.1

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training_args.bin

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