End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.932
+      value: 0.93148
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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: 0.2251
-- Accuracy: 0.932
+- Loss: 0.2220
+- Accuracy: 0.9315
 
 ## Model description
 
@@ -64,8 +64,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2243        | 1.0   | 1563 | 0.2532          | 0.9118   |
-| 0.1434        | 2.0   | 3126 | 0.2251          | 0.932    |
+| 0.2246        | 1.0   | 1563 | 0.2627          | 0.9101   |
+| 0.1486        | 2.0   | 3126 | 0.2220          | 0.9315   |
 
 
 ### Framework versions