update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.87
+      value: 0.9071100917431193
     - name: F1
       type: f1
-      value: 0.8849557522123894
+      value: 0.9110867178924259
 ---
 
 <!-- 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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the sst2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4971
-- Accuracy: 0.87
-- F1: 0.8850
+- Loss: 0.3564
+- Accuracy: 0.9071
+- F1: 0.9111
 
 ## Model description
 
@@ -62,7 +62,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 15
+- num_epochs: 5
 
 ### Training results