Training completed!

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.935
+      value: 0.932
 ---
 
 <!-- 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 emotion dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1672
-- Accuracy: 0.935
+- Loss: 0.1692
+- Accuracy: 0.932
 
 ## Model description
 
@@ -64,8 +64,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 125  | 0.2326          | 0.9235   |
-| No log        | 2.0   | 250  | 0.1672          | 0.935    |
+| No log        | 1.0   | 125  | 0.2249          | 0.9255   |
+| No log        | 2.0   | 250  | 0.1692          | 0.932    |
 
 
 ### Framework versions