End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.984
+      value: 0.9892
 ---
 
 <!-- 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: 0.0767
-- Accuracy: 0.984
+- Loss: 0.0602
+- Accuracy: 0.9892
 
 ## Model description
 
@@ -53,8 +53,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 3e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 20
+- eval_batch_size: 20
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -64,8 +64,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1161        | 1.0   | 1407 | 0.1384          | 0.9652   |
-| 0.0663        | 2.0   | 2814 | 0.0767          | 0.984    |
+| 0.0998        | 1.0   | 1125 | 0.0806          | 0.9808   |
+| 0.0362        | 2.0   | 2250 | 0.0602          | 0.9892   |
 
 
 ### Framework versions