Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9415789473684211
+      value: 0.9418421052631579
       name: accuracy
 ---
 
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9416
+- accuracy: 0.9418
 
 ## Model description
 
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2464   | None       | 0     |
-| 0.9296   | 0.2462     | 0     |
-| 0.9346   | 0.1908     | 1     |
-| 0.9389   | 0.1700     | 2     |
-| 0.9416   | 0.1550     | 3     |
+| 0.1830   | None       | 0     |
+| 0.9287   | 0.2464     | 0     |
+| 0.9326   | 0.1907     | 1     |
+| 0.9375   | 0.1687     | 2     |
+| 0.9418   | 0.1531     | 3     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1ed2f5daba11b25fd7f05942c589b839b8e73377433a89c63b6324faf1dc463f
+oid sha256:90b28863cb3d6c803cd6e0d1ee44394df1a141b741ba30992355565dfcfdddbe
 size 2452208