update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7916666666666666
+      value: 0.7766666666666666
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +29,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the sst2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5436
-- Accuracy: 0.7917
+- Loss: 0.5430
+- Accuracy: 0.7767
 
 ## Model description
 
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5205        | 1.0   | 1500 | 0.4679          | 0.7833   |
-| 0.3805        | 2.0   | 3000 | 0.5275          | 0.7817   |
-| 0.3376        | 3.0   | 4500 | 0.5436          | 0.7917   |
+| 0.5219        | 1.0   | 1500 | 0.4792          | 0.7633   |
+| 0.3794        | 2.0   | 3000 | 0.5339          | 0.775    |
+| 0.3334        | 3.0   | 4500 | 0.5430          | 0.7767   |
 
 
 ### Framework versions