End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8333333333333334
+      value: 0.8602941176470589
     - name: F1
       type: f1
-      value: 0.8870431893687708
+      value: 0.9001751313485115
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +36,9 @@ 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 glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3979
-- Accuracy: 0.8333
-- F1: 0.8870
+- Loss: 0.3273
+- Accuracy: 0.8603
+- F1: 0.9002
 
 ## Model description
 
@@ -69,7 +69,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.5454        | 0.87  | 100  | 0.3979          | 0.8333   | 0.8870 |
+| 0.3806        | 0.87  | 100  | 0.3273          | 0.8603   | 0.9002 |
 
 
 ### Framework versions

pytorch_model.bin

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training_args.bin

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