update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9071100917431193
+      value: 0.5091743119266054
 ---
 
 <!-- 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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4027
-- Accuracy: 0.9071
+- Loss: 0.7027
+- Accuracy: 0.5092
 
 ## Model description
 
@@ -49,9 +49,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 0.01
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -59,13 +59,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.1895        | 1.0   | 4210  | 0.3014          | 0.9060   |
-| 0.1233        | 2.0   | 8420  | 0.3738          | 0.9037   |
-| 0.0814        | 3.0   | 12630 | 0.4027          | 0.9071   |
-| 0.0698        | 4.0   | 16840 | 0.4600          | 0.9002   |
-| 0.0493        | 5.0   | 21050 | 0.5211          | 0.9037   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6868        | 1.0   | 1053 | 0.7027          | 0.5092   |
+| 0.6868        | 2.0   | 2106 | 0.7022          | 0.5092   |
+| 0.6867        | 3.0   | 3159 | 0.6970          | 0.5092   |
+| 0.687         | 4.0   | 4212 | 0.6992          | 0.5092   |
+| 0.6866        | 5.0   | 5265 | 0.6983          | 0.5092   |
 
 
 ### Framework versions