update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.592057761732852
+      value: 0.631768953068592
 ---
 
 <!-- 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 [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6726
-- Accuracy: 0.5921
+- Loss: 0.6673
+- Accuracy: 0.6318
 
 ## Model description
 
@@ -51,10 +51,10 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 16
+- learning_rate: 2.4294744851376705e-05
+- train_batch_size: 64
 - eval_batch_size: 16
-- seed: 42
+- seed: 8
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 5
@@ -63,11 +63,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 156  | 0.6861          | 0.5596   |
-| No log        | 2.0   | 312  | 0.6809          | 0.5596   |
-| No log        | 3.0   | 468  | 0.6771          | 0.5632   |
-| 0.6808        | 4.0   | 624  | 0.6735          | 0.5812   |
-| 0.6808        | 5.0   | 780  | 0.6726          | 0.5921   |
+| No log        | 1.0   | 156  | 0.6852          | 0.5776   |
+| No log        | 2.0   | 312  | 0.6800          | 0.5993   |
+| No log        | 3.0   | 468  | 0.6737          | 0.6173   |
+| 0.6845        | 4.0   | 624  | 0.6690          | 0.6101   |
+| 0.6845        | 5.0   | 780  | 0.6673          | 0.6318   |
 
 
 ### Framework versions