End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8455882352941176
+      value: 0.8137254901960784
     - name: F1
       type: f1
-      value: 0.8941176470588236
+      value: 0.87248322147651
 ---
 
 <!-- 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: 0.7306
-- Accuracy: 0.8456
-- F1: 0.8941
+- Loss: 0.4336
+- Accuracy: 0.8137
+- F1: 0.8725
 
 ## Model description
 
@@ -69,7 +69,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.0581        | 0.87  | 100  | 0.7306          | 0.8456   | 0.8941 |
+| 0.546         | 0.87  | 100  | 0.4336          | 0.8137   | 0.8725 |
 
 
 ### Framework versions

pytorch_model.bin

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 size 438003505

training_args.bin

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 size 4027