Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9307894736842105
+      value: 0.9311842105263158
       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-9](https://huggingface.co/Jeevesh8/bert_ft_qqp-9) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9308
+- accuracy: 0.9312
 
 ## Model description
 
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2855   | None       | 0     |
-| 0.9187   | 0.3152     | 0     |
-| 0.9226   | 0.2277     | 1     |
-| 0.9296   | 0.2068     | 2     |
-| 0.9308   | 0.1946     | 3     |
+| 0.2771   | None       | 0     |
+| 0.9208   | 0.3094     | 0     |
+| 0.9246   | 0.2268     | 1     |
+| 0.9295   | 0.2065     | 2     |
+| 0.9312   | 0.1948     | 3     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4f01fdd251239d96a1724bb052df1a2e8fe70e76ca8bbdeb355af935a5e8d076
+oid sha256:e4fcd2232cb33f6e75b3e96d5319e7d378e43588ce9b0e1b2c75014446cfc66e
 size 166552