update model card README.md

README.md

@@ -2,6 +2,8 @@
 license: mit
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: dignity-classifier
   results: []
@@ -12,7 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # dignity-classifier
 
-This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
+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: 0.5157
+- Accuracy: 0.8678
 
 ## Model description
 
@@ -39,6 +44,17 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.7722        | 1.0   | 98   | 0.7799          | 0.6897   |
+| 0.4301        | 2.0   | 196  | 0.4704          | 0.8477   |
+| 0.2445        | 3.0   | 294  | 0.5107          | 0.8305   |
+| 0.1626        | 4.0   | 392  | 0.5553          | 0.8477   |
+| 0.0653        | 5.0   | 490  | 0.5157          | 0.8678   |
+
+
 ### Framework versions
 
 - Transformers 4.29.2