update model card README.md

README.md

@@ -25,7 +25,7 @@ model-index:
       value: 0.5
     - name: F1
       type: f1
-      value: 0.6666666666666666
+      value: 0.5454545454545454
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,9 +35,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) on the quora dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2990
+- Loss: 0.2761
 - Accuracy: 0.5
-- F1: 0.6667
+- F1: 0.5455
 
 ## Model description
 
@@ -68,11 +68,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.1974        | 1.0   | 46   | 0.2565          | 0.5      | 0.6667 |
-| 0.1202        | 2.0   | 92   | 0.3442          | 0.5      | 0.6667 |
-| 0.0691        | 3.0   | 138  | 0.3269          | 0.55     | 0.6897 |
-| 0.0219        | 4.0   | 184  | 0.2925          | 0.5      | 0.6667 |
-| 0.0069        | 5.0   | 230  | 0.2990          | 0.5      | 0.6667 |
+| 0.2035        | 1.0   | 46   | 0.1972          | 0.3      | 0.4615 |
+| 0.1354        | 2.0   | 92   | 0.2265          | 0.45     | 0.5217 |
+| 0.0568        | 3.0   | 138  | 0.2754          | 0.45     | 0.5217 |
+| 0.0235        | 4.0   | 184  | 0.2770          | 0.45     | 0.5217 |
+| 0.0227        | 5.0   | 230  | 0.2761          | 0.5      | 0.5455 |
 
 
 ### Framework versions