update model card README.md

README.md

@@ -19,11 +19,11 @@ 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: 0.0708
-- Accuracy: 0.8869
-- F1: 0.0
-- Precision: 0.0
-- Recall: 0.0
+- Loss: 0.0684
+- Accuracy: 0.875
+- F1: 0.0455
+- Precision: 1.0
+- Recall: 0.0233
 
 ## Model description
 
@@ -54,12 +54,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1  | Precision | Recall |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|:---------:|:------:|
-| No log        | 1.0   | 6    | 0.0871          | 0.8869   | 0.0 | 0.0       | 0.0    |
-| No log        | 2.0   | 12   | 0.0744          | 0.8869   | 0.0 | 0.0       | 0.0    |
-| No log        | 3.0   | 18   | 0.0714          | 0.8869   | 0.0 | 0.0       | 0.0    |
-| No log        | 4.0   | 24   | 0.0708          | 0.8869   | 0.0 | 0.0       | 0.0    |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| No log        | 1.0   | 6    | 0.0888          | 0.8720   | 0.0    | 0.0       | 0.0    |
+| No log        | 2.0   | 12   | 0.0700          | 0.8720   | 0.0    | 0.0       | 0.0    |
+| No log        | 3.0   | 18   | 0.0713          | 0.8720   | 0.0851 | 0.5       | 0.0465 |
+| No log        | 4.0   | 24   | 0.0684          | 0.875    | 0.0455 | 1.0       | 0.0233 |
 
 
 ### Framework versions