Training complete

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.931
+      value: 0.9245
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the emotion dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2163
-- Accuracy: 0.931
+- Loss: 0.2276
+- Accuracy: 0.9245
 
 ## Model description
 
@@ -65,9 +65,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2545        | 1.0   | 2000 | 0.2308          | 0.927    |
-| 0.1436        | 2.0   | 4000 | 0.1631          | 0.9335   |
-| 0.0972        | 3.0   | 6000 | 0.2163          | 0.931    |
+| 0.2371        | 1.0   | 2000 | 0.2465          | 0.919    |
+| 0.1524        | 2.0   | 4000 | 0.1867          | 0.933    |
+| 0.1102        | 3.0   | 6000 | 0.2276          | 0.9245   |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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