update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.05
+      value: 0.14545454545454545
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased) on the emotion dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7819
-- F1: 0.05
+- Loss: 1.7815
+- F1: 0.1455
 
 ## Model description
 
@@ -63,11 +63,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.7891        | 1.0   | 2    | 1.7813          | 0.0182 |
-| 1.7925        | 2.0   | 4    | 1.7822          | 0.0125 |
-| 1.7906        | 3.0   | 6    | 1.7827          | 0.075  |
-| 1.7904        | 4.0   | 8    | 1.7821          | 0.0600 |
-| 1.7859        | 5.0   | 10   | 1.7819          | 0.05   |
+| 1.7968        | 1.0   | 2    | 1.7804          | 0.2286 |
+| 1.7918        | 2.0   | 4    | 1.7812          | 0.2286 |
+| 1.7867        | 3.0   | 6    | 1.7822          | 0.08   |
+| 1.7884        | 4.0   | 8    | 1.7816          | 0.08   |
+| 1.7833        | 5.0   | 10   | 1.7815          | 0.1455 |
 
 
 ### Framework versions