Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.868421052631579
+      value: 0.8738157894736842
       name: accuracy
 ---
 
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [milyiyo/selectra-small-finetuned-amazon-review](https://huggingface.co/milyiyo/selectra-small-finetuned-amazon-review) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.8684
+- accuracy: 0.8738
 
 ## Model description
 
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2388   | None       | 0     |
-| 0.8447   | 0.5885     | 0     |
-| 0.8592   | 0.4387     | 1     |
-| 0.8691   | 0.4044     | 2     |
-| 0.8684   | 0.3890     | 3     |
+| 0.2508   | None       | 0     |
+| 0.8439   | 0.5846     | 0     |
+| 0.8625   | 0.4264     | 1     |
+| 0.8716   | 0.3944     | 2     |
+| 0.8738   | 0.3779     | 3     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:af0053d5b9e1335f70b81b8aff39f537b719d0173fc0cef62674e1f20510d51c
+oid sha256:4abf6911c9487c38bbbcfdb3e3cab4796cfcde995512fca93c83874007d4aa8d
 size 323664