End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 13.0188
+- Loss: 2.8971
 
 ## Model description
 
@@ -46,9 +46,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 45   | 13.7367         |
-| No log        | 2.0   | 90   | 13.2402         |
-| 13.9123       | 3.0   | 135  | 13.0188         |
+| 9.6045        | 1.0   | 258  | 5.7917          |
+| 4.3948        | 2.0   | 516  | 3.4037          |
+| 3.771         | 3.0   | 774  | 2.8971          |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6e018ce0c5977adb5c57b268363606e52ba924e07328b02c6c591da94e88cf2e
+oid sha256:e632b908341ad0b052b767ea1b1468f72a98a25e46fad4b9a2b7e775b3dbb324
 size 1186712