Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9284210526315789
+      value: 0.929078947368421
       name: accuracy
 ---
 
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Jeevesh8/bert_ft_qqp-55](https://huggingface.co/Jeevesh8/bert_ft_qqp-55) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9284
+- accuracy: 0.9291
 
 ## Model description
 
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2492   | None       | 0     |
-| 0.9139   | 0.3255     | 0     |
-| 0.9230   | 0.2337     | 1     |
-| 0.9259   | 0.2140     | 2     |
-| 0.9284   | 0.2008     | 3     |
+| 0.1872   | None       | 0     |
+| 0.9178   | 0.3282     | 0     |
+| 0.9221   | 0.2327     | 1     |
+| 0.9280   | 0.2109     | 2     |
+| 0.9291   | 0.2008     | 3     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7492bf3b2a754a81c7c2c54c13865dae3aab2af27f1dff0aed7317772551a3ed
+oid sha256:6addf3926b5ef69e00dcaa37390063de67533423da2fd07ec95319930050e302
 size 166552