update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8505882352941176
+      value: 0.8623529411764705
 ---
 
 <!-- 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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4454
-- Accuracy: 0.8506
+- Loss: 0.4654
+- Accuracy: 0.8624
 
 ## Model description
 
@@ -52,20 +52,22 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 16
-- seed: 42
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 30
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 54   | 0.4418          | 0.7953   |
-| No log        | 2.0   | 108  | 0.4217          | 0.8424   |
-| No log        | 3.0   | 162  | 0.4454          | 0.8506   |
+| No log        | 1.0   | 27   | 0.4003          | 0.8224   |
+| No log        | 2.0   | 54   | 0.3516          | 0.8459   |
+| No log        | 3.0   | 81   | 0.4151          | 0.8376   |
+| No log        | 4.0   | 108  | 0.4419          | 0.8635   |
+| No log        | 5.0   | 135  | 0.4654          | 0.8624   |
 
 
 ### Framework versions