update model card README.md

README.md

@@ -2,6 +2,11 @@
 license: mit
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
 model-index:
 - name: outputs
   results: []
@@ -14,8 +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: 0.0837
-- Pearson: 0.6399
+- Loss: 0.0926
+- Accuracy: 0.8780
+- F1: 0.3881
+- Precision: 0.5417
+- Recall: 0.3023
 
 ## Model description
 
@@ -46,12 +54,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Pearson |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| No log        | 1.0   | 6    | 0.0729          | 0.5899  |
-| No log        | 2.0   | 12   | 0.0813          | 0.5655  |
-| No log        | 3.0   | 18   | 0.0735          | 0.6686  |
-| No log        | 4.0   | 24   | 0.0837          | 0.6399  |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| No log        | 1.0   | 6    | 0.0874          | 0.8810   | 0.4118 | 0.56      | 0.3256 |
+| No log        | 2.0   | 12   | 0.0936          | 0.8839   | 0.4000 | 0.5909    | 0.3023 |
+| No log        | 3.0   | 18   | 0.0922          | 0.8780   | 0.3881 | 0.5417    | 0.3023 |
+| No log        | 4.0   | 24   | 0.0926          | 0.8780   | 0.3881 | 0.5417    | 0.3023 |
 
 
 ### Framework versions