Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: irony
     metrics:
     - type: accuracy
-      value: 0.6607329842931937
+      value: 0.6460732984293194
       name: accuracy
 ---
 
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Nanatan/distilbert-base-uncased-finetuned-emotion](https://huggingface.co/Nanatan/distilbert-base-uncased-finetuned-emotion) on the tweet_eval dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.6607
+- accuracy: 0.6461
 
 ## Model description
 
@@ -65,15 +65,15 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.5110   | None       | 0     |
-| 0.5979   | 0.6955     | 0     |
-| 0.5948   | 0.6451     | 1     |
-| 0.6356   | 0.6112     | 2     |
-| 0.6534   | 0.5713     | 3     |
-| 0.6450   | 0.5538     | 4     |
-| 0.6482   | 0.5264     | 5     |
-| 0.6639   | 0.5136     | 6     |
-| 0.6607   | 0.4983     | 7     |
+| 0.4754   | None       | 0     |
+| 0.5853   | 0.6957     | 0     |
+| 0.6084   | 0.6450     | 1     |
+| 0.6251   | 0.6153     | 2     |
+| 0.6545   | 0.5800     | 3     |
+| 0.6272   | 0.5570     | 4     |
+| 0.6377   | 0.5347     | 5     |
+| 0.6597   | 0.5141     | 6     |
+| 0.6461   | 0.5007     | 7     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fa2c4942b9468d8e528017f18066301c6074b180d59bf136c8094b858cadf838
+oid sha256:82a99bd1c04fbdd9a3bab148f8a98f897983bad936352bb23c78a6b77424bd90
 size 2446056