End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9664
+      value: 0.984
 ---
 
 <!-- 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: 0.1123
-- Accuracy: 0.9664
+- Loss: 0.0767
+- Accuracy: 0.984
 
 ## Model description
 
@@ -52,7 +52,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 3e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -64,8 +64,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2348        | 1.0   | 1407 | 0.1712          | 0.9432   |
-| 0.1443        | 2.0   | 2814 | 0.1123          | 0.9664   |
+| 0.1161        | 1.0   | 1407 | 0.1384          | 0.9652   |
+| 0.0663        | 2.0   | 2814 | 0.0767          | 0.984    |
 
 
 ### Framework versions