ijboym216/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: 0.5378
-- Accuracy: 0.845
+- Loss: 0.5659
+- Accuracy: 0.84
 
 ## Model description
 
@@ -49,7 +49,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5384        | 1.0   | 1250 | 0.5378          | 0.845    |
+| 0.5424        | 1.0   | 1250 | 0.5659          | 0.84     |
 
 
 ### Framework versions

runs/Dec13_15-00-51_Admin/events.out.tfevents.1734069653.Admin.33888.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 5835
+oid sha256:dd285b2c1103e6e856a39757afa024e7dbc3057b7a091522a0379988aaea92f7
+size 6512