Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9406578947368421
+      value: 0.9394736842105263
       name: accuracy
 ---
 
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [riyadhctg/distilbert-base-uncased-finetuned-cola](https://huggingface.co/riyadhctg/distilbert-base-uncased-finetuned-cola) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9407
+- accuracy: 0.9395
 
 ## Model description
 
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2357   | None       | 0     |
-| 0.9239   | 0.2562     | 0     |
-| 0.9330   | 0.1970     | 1     |
-| 0.9368   | 0.1739     | 2     |
-| 0.9407   | 0.1577     | 3     |
+| 0.2361   | None       | 0     |
+| 0.9233   | 0.2586     | 0     |
+| 0.9328   | 0.1980     | 1     |
+| 0.9370   | 0.1749     | 2     |
+| 0.9395   | 0.1575     | 3     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:754802b5bfef7a8152a694588c7e5ab07ac0e6179caa0254ad5cc9762bf8308a
+oid sha256:b48ca525190c409baaa45b55313975313c32e3adb8c1576c9a528ced7a751e96
 size 2452208