Finished training.

README.md

@@ -22,7 +22,7 @@ model-index:
       args: irony
     metrics:
     - type: accuracy
-      value: 0.5947643979057592
+      value: 0.6
       name: accuracy
 ---
 
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [JonatanGk/roberta-base-bne-finetuned-cyberbullying-spanish](https://huggingface.co/JonatanGk/roberta-base-bne-finetuned-cyberbullying-spanish) on the tweet_eval dataset.
 It achieves the following results on the evaluation set:
-- accuracy: 0.5948
+- accuracy: 0.6
 
 ## Model description
 
@@ -65,14 +65,14 @@ The following hyperparameters were used during training:
 | accuracy | train_loss | epoch |
 |:--------:|:----------:|:-----:|
 | 0.5257   | None       | 0     |
-| 0.5141   | 0.8168     | 0     |
-| 0.5215   | 0.7015     | 1     |
-| 0.5435   | 0.6909     | 2     |
-| 0.5770   | 0.6750     | 3     |
-| 0.5801   | 0.6574     | 4     |
-| 0.5812   | 0.6478     | 5     |
-| 0.5874   | 0.6377     | 6     |
-| 0.5948   | 0.6316     | 7     |
+| 0.5089   | 0.8169     | 0     |
+| 0.5424   | 0.7018     | 1     |
+| 0.5665   | 0.6875     | 2     |
+| 0.5717   | 0.6690     | 3     |
+| 0.5822   | 0.6540     | 4     |
+| 0.5885   | 0.6430     | 5     |
+| 0.5906   | 0.6339     | 6     |
+| 0.6      | 0.6268     | 7     |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:58fdeefa8c9c90450e8f5a058dcbb383b7372c54d7080e7eb706183bc4833ad3
+oid sha256:10c29f0e02d2bd5fb73c4912cfcc0ed0192cf1c0bff0b93bb6a6b4fae8bceeaa
 size 2523312