Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: default
     metrics:
     - type: accuracy
-      value: 0.94
+      value: 0.9410526315789474
       name: accuracy
 ---
 
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [vaariis/distilbert-base-uncased-finetuned-emotion](https://huggingface.co/vaariis/distilbert-base-uncased-finetuned-emotion) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.94
+- accuracy: 0.9411
 
 ## Model description
 
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.2564   | None       | 0     |
-| 0.9286   | 0.2624     | 0     |
-| 0.9336   | 0.1991     | 1     |
-| 0.9387   | 0.1773     | 2     |
-| 0.94     | 0.1614     | 3     |
+| 0.2267   | None       | 0     |
+| 0.9249   | 0.2627     | 0     |
+| 0.9337   | 0.2003     | 1     |
+| 0.9376   | 0.1772     | 2     |
+| 0.9411   | 0.1610     | 3     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fc5ff0f2719c54f3d910860b04329a4c1e54ebb6c3515854a6c505578155a4e7
+oid sha256:c1c0d26edfaee8a0bb28cd7f571bc3661144542b6e867b2f13e848277dfb746e
 size 2452208