Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: irony
     metrics:
     - type: accuracy
-      value: 0.6764397905759162
+      value: 0.6712041884816754
       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/presentation_sentiment_1234567](https://huggingface.co/aXhyra/presentation_sentiment_1234567) on the tweet_eval dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.6764
+- accuracy: 0.6712
 
 ## Model description
 
@@ -65,15 +65,15 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.6010   | None       | 0     |
-| 0.6346   | 0.6676     | 0     |
-| 0.6325   | 0.6270     | 1     |
-| 0.6545   | 0.5752     | 2     |
-| 0.6534   | 0.5448     | 3     |
-| 0.6639   | 0.5232     | 4     |
-| 0.6492   | 0.4976     | 5     |
-| 0.6702   | 0.4812     | 6     |
-| 0.6764   | 0.4663     | 7     |
+| 0.4377   | None       | 0     |
+| 0.6346   | 0.6625     | 0     |
+| 0.6398   | 0.6239     | 1     |
+| 0.6660   | 0.5703     | 2     |
+| 0.6838   | 0.5366     | 3     |
+| 0.6607   | 0.5155     | 4     |
+| 0.6492   | 0.4973     | 5     |
+| 0.6639   | 0.4788     | 6     |
+| 0.6712   | 0.4677     | 7     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c7e56a278d2e87baa7092c3234a2c533e55fe013c79b7dc00820682b7c4071c4
+oid sha256:ca923836c6e3b92b1a7904d244ca8a258bc8f41b2a9b35eec2bb07f7f4015f01
 size 2446056