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-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0685
-- Accuracy: 0.9674
+- Loss: 0.0154
+- Accuracy: 0.9894
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 56   | 0.1019          | 0.9783   |
-| No log        | 2.0   | 112  | 0.0971          | 0.9565   |
-| No log        | 3.0   | 168  | 0.0685          | 0.9674   |
+| No log        | 1.0   | 57   | 0.1350          | 0.9574   |
+| No log        | 2.0   | 114  | 0.0353          | 0.9787   |
+| No log        | 3.0   | 171  | 0.0154          | 0.9894   |
 
 
 ### Framework versions

model.safetensors

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runs/Feb13_12-47-31_37b12c002c60/events.out.tfevents.1707828452.37b12c002c60.1195.5

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