Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: irony
     metrics:
     - type: accuracy
-      value: 0.694240837696335
+      value: 0.7036649214659686
       name: accuracy
 ---
 
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Anthos23/FS-distilroberta-fine-tuned](https://huggingface.co/Anthos23/FS-distilroberta-fine-tuned) on the tweet_eval dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.6942
+- accuracy: 0.7037
 
 ## Model description
 
@@ -64,15 +64,15 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.4639   | None       | 0     |
-| 0.6293   | 0.7090     | 0     |
-| 0.6010   | 0.6475     | 1     |
-| 0.6545   | 0.6082     | 2     |
-| 0.6995   | 0.5614     | 3     |
-| 0.7005   | 0.5424     | 4     |
-| 0.6806   | 0.5146     | 5     |
-| 0.6932   | 0.5049     | 6     |
-| 0.6942   | 0.4976     | 7     |
+| 0.4995   | None       | 0     |
+| 0.6283   | 0.7070     | 0     |
+| 0.5874   | 0.6448     | 1     |
+| 0.6618   | 0.6031     | 2     |
+| 0.7068   | 0.5548     | 3     |
+| 0.7120   | 0.5368     | 4     |
+| 0.6733   | 0.5065     | 5     |
+| 0.7005   | 0.4997     | 6     |
+| 0.7037   | 0.4886     | 7     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2eb33d053c5d35cc6e4fb441d73d9c0fef9ac8d03a59cc89a02e9eaf2da66de8
+oid sha256:d506466cdb1f0fea80770896234ca35270a15348ece9050bfe7e9bd78b9a88df
 size 2446144