Model save

README.md

@@ -19,8 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0096
-- Accuracy: 0.9975
+- Loss: 0.0200
+- Accuracy: 0.9967
 
 ## Model description
 
@@ -51,13 +51,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0179        | 2.0   | 100  | 0.0129          | 0.9975   |
-| 0.0016        | 4.0   | 200  | 0.0084          | 0.9975   |
-| 0.0011        | 6.0   | 300  | 0.0117          | 0.9975   |
-| 0.0001        | 8.0   | 400  | 0.0088          | 0.9975   |
-| 0.0001        | 10.0  | 500  | 0.0096          | 0.9975   |
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.0023        | 2.6667 | 100  | 0.0123          | 1.0      |
+| 0.0002        | 5.3333 | 200  | 0.0184          | 0.9967   |
+| 0.0001        | 8.0    | 300  | 0.0200          | 0.9967   |
 
 
 ### Framework versions

model.safetensors

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runs/Aug19_14-24-08_ppi-gq4jmwx5/events.out.tfevents.1724091852.ppi-gq4jmwx5

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