update model card README.md

README.md

@@ -14,8 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0475
-- Pearson: 0.9261
+- Loss: 0.0436
+- Pearson: 0.9325
 
 ## Model description
 
@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Pearson |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| No log        | 1.0   | 12   | 0.2617          | 0.6890  |
-| No log        | 2.0   | 24   | 0.2215          | 0.7383  |
-| No log        | 3.0   | 36   | 0.0794          | 0.8488  |
-| No log        | 4.0   | 48   | 0.0832          | 0.8626  |
-| No log        | 5.0   | 60   | 0.0753          | 0.9134  |
-| No log        | 6.0   | 72   | 0.0497          | 0.9271  |
-| No log        | 7.0   | 84   | 0.0454          | 0.9253  |
-| No log        | 8.0   | 96   | 0.0438          | 0.9287  |
-| No log        | 9.0   | 108  | 0.0496          | 0.9251  |
-| No log        | 10.0  | 120  | 0.0475          | 0.9261  |
+| No log        | 1.0   | 12   | 0.2989          | 0.6985  |
+| No log        | 2.0   | 24   | 0.1378          | 0.7269  |
+| No log        | 3.0   | 36   | 0.0459          | 0.9122  |
+| No log        | 4.0   | 48   | 0.0454          | 0.9304  |
+| No log        | 5.0   | 60   | 0.0564          | 0.9168  |
+| No log        | 6.0   | 72   | 0.0434          | 0.9315  |
+| No log        | 7.0   | 84   | 0.0452          | 0.9254  |
+| No log        | 8.0   | 96   | 0.0381          | 0.9320  |
+| No log        | 9.0   | 108  | 0.0441          | 0.9327  |
+| No log        | 10.0  | 120  | 0.0436          | 0.9325  |
 
 
 ### Framework versions