End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4450
-- Accuracy: 0.8969
+- Loss: 0.3774
+- Accuracy: 0.9187
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 180  | 0.3192          | 0.8656   |
-| No log        | 2.0   | 360  | 0.4034          | 0.825    |
-| 0.3441        | 3.0   | 540  | 0.3285          | 0.8938   |
-| 0.3441        | 4.0   | 720  | 0.3576          | 0.9      |
-| 0.3441        | 5.0   | 900  | 0.4450          | 0.8969   |
+| No log        | 1.0   | 180  | 0.3673          | 0.875    |
+| No log        | 2.0   | 360  | 0.3042          | 0.8938   |
+| 0.3037        | 3.0   | 540  | 0.3519          | 0.8875   |
+| 0.3037        | 4.0   | 720  | 0.3382          | 0.9281   |
+| 0.3037        | 5.0   | 900  | 0.3774          | 0.9187   |
 
 
 ### Framework versions

runs/Sep04_14-43-41_0ecfd9ff1619/events.out.tfevents.1725461036.0ecfd9ff1619.2927.2

@@ -1,3 +1,3 @@
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-size 6482
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+size 7159