Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9376315789473684
+      value: 0.9388157894736842
       name: accuracy
 ---
 
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [liangyuant/distilbert-base-uncased-finetuned-num200-450-405cls](https://huggingface.co/liangyuant/distilbert-base-uncased-finetuned-num200-450-405cls) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9376
+- accuracy: 0.9388
 
 ## Model description
 
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2153   | None       | 0     |
-| 0.9253   | 0.2641     | 0     |
-| 0.9317   | 0.2018     | 1     |
-| 0.9343   | 0.1787     | 2     |
-| 0.9376   | 0.1611     | 3     |
+| 0.1853   | None       | 0     |
+| 0.9282   | 0.2644     | 0     |
+| 0.9313   | 0.2007     | 1     |
+| 0.9362   | 0.1774     | 2     |
+| 0.9388   | 0.1599     | 3     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:969a047982b13a13c4c9e6a0a9dc1872d1d00dee8fb9fa0808b7fcea974d7415
+oid sha256:2286e4aeaaeec233381e8d1743ba0c2d05f648ef99b08c186017c0bf721d31c2
 size 2452208