Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.9415789473684211
+      value: 0.9396052631578947
       name: accuracy
 ---
 
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [aXhyra/demo_sentiment_31415](https://huggingface.co/aXhyra/demo_sentiment_31415) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.9416
+- accuracy: 0.9396
 
 ## Model description
 
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.3055   | None       | 0     |
-| 0.9251   | 0.2578     | 0     |
-| 0.9324   | 0.1966     | 1     |
-| 0.9372   | 0.1737     | 2     |
-| 0.9416   | 0.1572     | 3     |
+| 0.2325   | None       | 0     |
+| 0.9241   | 0.2597     | 0     |
+| 0.9312   | 0.1974     | 1     |
+| 0.9383   | 0.1741     | 2     |
+| 0.9396   | 0.1573     | 3     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:616c6740112018da624b69adb7904919931243bb40999c129403a3633be443a9
+oid sha256:c972937c625ae424cc2a7c711741606fce5a761bc0d6e6b181a1113fcfd6ea32
 size 2452208