End of training

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.931
+      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 emotion dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1359
-- Accuracy: 0.931
+- Loss: 0.1477
+- Accuracy: 0.928
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.9201        | 1.0   | 500  | 0.2352          | 0.9245   |
-| 0.1916        | 2.0   | 1000 | 0.1521          | 0.926    |
-| 0.1023        | 3.0   | 1500 | 0.1359          | 0.931    |
+| 0.9308        | 1.0   | 500  | 0.2632          | 0.916    |
+| 0.1871        | 2.0   | 1000 | 0.1651          | 0.926    |
+| 0.1025        | 3.0   | 1500 | 0.1477          | 0.928    |
 
 
 ### Framework versions