Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: irony
     metrics:
     - type: accuracy
-      value: 0.6418848167539267
+      value: 0.6586387434554973
       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/emotion_trained_31415](https://huggingface.co/aXhyra/emotion_trained_31415) on the tweet_eval dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.6419
+- accuracy: 0.6586
 
 ## Model description
 
@@ -65,15 +65,15 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.5382   | None       | 0     |
-| 0.5948   | 0.7137     | 0     |
-| 0.6293   | 0.6551     | 1     |
-| 0.6398   | 0.6061     | 2     |
-| 0.6272   | 0.5792     | 3     |
-| 0.6576   | 0.5543     | 4     |
-| 0.6304   | 0.5297     | 5     |
-| 0.6597   | 0.5119     | 6     |
-| 0.6419   | 0.5044     | 7     |
+| 0.4921   | None       | 0     |
+| 0.5916   | 0.7087     | 0     |
+| 0.6094   | 0.6539     | 1     |
+| 0.6356   | 0.6061     | 2     |
+| 0.6272   | 0.5806     | 3     |
+| 0.6545   | 0.5525     | 4     |
+| 0.6366   | 0.5354     | 5     |
+| 0.6586   | 0.5164     | 6     |
+| 0.6586   | 0.5082     | 7     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bb9bf630962a2b7c44577d28101f6f07a8cc347e41ea5acb3af580078eb46406
+oid sha256:6d9cb40cc679fc725a1fe771f1878806c8594a2e7b117f46e03134045a51e722
 size 2446056