Finished training.

README.md

@@ -23,7 +23,7 @@ model-index:
       args: irony
     metrics:
     - type: accuracy
-      value: 0.6492146596858639
+      value: 0.6471204188481675
       name: accuracy
 ---
 
@@ -34,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [IMSyPP/hate_speech_it](https://huggingface.co/IMSyPP/hate_speech_it) on the tweet_eval dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.6492
+- accuracy: 0.6471
 
 ## Model description
 
@@ -65,15 +65,15 @@ The following hyperparameters were used during training:
 
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
-| 0.4848   | None       | 0     |
-| 0.5738   | 0.6968     | 0     |
-| 0.5979   | 0.6673     | 1     |
-| 0.6126   | 0.6428     | 2     |
-| 0.6241   | 0.6268     | 3     |
-| 0.6356   | 0.6084     | 4     |
-| 0.6199   | 0.5922     | 5     |
-| 0.6471   | 0.5818     | 6     |
-| 0.6492   | 0.5738     | 7     |
+| 0.5246   | None       | 0     |
+| 0.5906   | 0.6972     | 0     |
+| 0.5958   | 0.6696     | 1     |
+| 0.6126   | 0.6442     | 2     |
+| 0.6209   | 0.6274     | 3     |
+| 0.6408   | 0.6179     | 4     |
+| 0.6199   | 0.6010     | 5     |
+| 0.6408   | 0.5890     | 6     |
+| 0.6471   | 0.5884     | 7     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b0e0470034cdc374686653268eae30d3b3e492a4109b92f4aeb972c1f3d441e2
+oid sha256:7a847e68cc87ab55057c2376cfb7616c8a696e1c71ee40f2d177c84dd9d8398c
 size 160400