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README.md

@@ -26,7 +26,7 @@ model-index:
       value: 0.9265
     - name: F1
       type: f1
-      value: 0.9264499819187068
+      value: 0.9263595968453002
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,7 +36,7 @@ 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: 0.2159
+- Loss: 0.2270
 - Accuracy: 0.9265
 - F1: 0.9264
 
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8539        | 1.0   | 250  | 0.3270          | 0.909    | 0.9070 |
-| 0.2595        | 2.0   | 500  | 0.2159          | 0.9265   | 0.9264 |
+| 0.8731        | 1.0   | 250  | 0.3398          | 0.9005   | 0.8983 |
+| 0.2692        | 2.0   | 500  | 0.2270          | 0.9265   | 0.9264 |
 
 
 ### Framework versions