update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.504
+      value: 0.928
 ---
 
 <!-- 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 imdb dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6931
-- Accuracy: 0.504
+- Loss: 0.4328
+- Accuracy: 0.928
 
 ## Model description
 
@@ -49,7 +49,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.002
+- learning_rate: 2e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 1337
@@ -62,11 +62,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.6924        | 1.0   | 2657  | 0.6922          | 0.504    |
-| 0.6919        | 2.0   | 5314  | 0.6920          | 0.504    |
-| 0.7404        | 3.0   | 7971  | 0.7076          | 0.496    |
-| 0.6939        | 4.0   | 10628 | 0.6932          | 0.496    |
-| 0.6935        | 5.0   | 13285 | 0.6931          | 0.504    |
+| 0.3459        | 1.0   | 2657  | 0.2362          | 0.9091   |
+| 0.1612        | 2.0   | 5314  | 0.2668          | 0.9248   |
+| 0.0186        | 3.0   | 7971  | 0.3274          | 0.9323   |
+| 0.1005        | 4.0   | 10628 | 0.3978          | 0.9277   |
+| 0.0006        | 5.0   | 13285 | 0.4328          | 0.928    |
 
 
 ### Framework versions