update model card README.md

README.md

@@ -4,7 +4,6 @@ tags:
 - generated_from_trainer
 metrics:
 - accuracy
-- f1
 model-index:
 - name: Pre-requisite_Model_2
   results: []
@@ -17,9 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6867
-- Accuracy: 0.5575
-- F1: 0.3449
+- Loss: 0.7157
+- Accuracy: 0.5741
 
 ## Model description
 
@@ -48,11 +46,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.6951        | 1.0   | 648  | 0.6901          | 0.5382   | 0.3419 |
-| 0.6864        | 2.0   | 1296 | 0.6812          | 0.5625   | 0.3119 |
-| 0.6733        | 3.0   | 1944 | 0.6867          | 0.5575   | 0.3449 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5839        | 1.0   | 648  | 0.6894          | 0.5702   |
+| 0.5469        | 2.0   | 1296 | 0.7157          | 0.5741   |
+| 0.5156        | 3.0   | 1944 | 0.7157          | 0.5741   |
 
 
 ### Framework versions