Update README.md

README.md

@@ -8,6 +8,8 @@ metrics:
 model-index:
 - name: roberta-tagalog-base-philippine-elections-2016-2022-hate-speech
   results: []
+datasets:
+- hate_speech_filipino
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,7 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 # roberta-tagalog-base-philippine-elections-2016-2022-hate-speech
 
-This model is a fine-tuned version of [jcblaise/roberta-tagalog-base](https://huggingface.co/jcblaise/roberta-tagalog-base) on an unknown dataset.
+This model is a fine-tuned version of [jcblaise/roberta-tagalog-base](https://huggingface.co/jcblaise/roberta-tagalog-base) on a combined dataset (to be published) consisting of
+the [hate_speech_filipino](https://huggingface.co/datasets/hate_speech_filipino) dataset and a newly crawled 2022 Philippine Presidential Elections-related Tweets Hate Speech Dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.3574
 - Accuracy: 0.8743
@@ -58,4 +61,4 @@ The following hyperparameters were used during training:
 - Transformers 4.33.2
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3