update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5992779783393501
+      value: 0.6173285198555957
 ---
 
 <!-- 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: 0.7351
-- Accuracy: 0.5993
+- Loss: 0.6661
+- Accuracy: 0.6173
 
 ## Model description
 
@@ -50,8 +50,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 4
-- eval_batch_size: 4
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -61,11 +61,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6954        | 1.0   | 623  | 0.6880          | 0.5632   |
-| 0.6583        | 2.0   | 1246 | 0.7351          | 0.5993   |
-| 0.5153        | 3.0   | 1869 | 1.2887          | 0.5993   |
-| 0.413         | 4.0   | 2492 | 1.9436          | 0.5884   |
-| 0.1309        | 5.0   | 3115 | 2.1319          | 0.5993   |
+| No log        | 1.0   | 156  | 0.6921          | 0.5162   |
+| No log        | 2.0   | 312  | 0.6661          | 0.6173   |
+| No log        | 3.0   | 468  | 0.7794          | 0.5632   |
+| 0.5903        | 4.0   | 624  | 0.8832          | 0.5921   |
+| 0.5903        | 5.0   | 780  | 0.9376          | 0.5921   |
 
 
 ### Framework versions