Update README.md

README.md

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+### HaT5(T5-base)
+This is a fine-tuned model of T5 (base) on the hate speech detection dataset. It is intended to be used as a classification model for identifying Tweets (0 - HOF(hate/offensive); 1 - NOT). The task prefix we used for the T5 model is 'classification: '.
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+The dataset it's trained on is limited in scope, as it covers only some news texts covering about 20 English-speaking countries. The macro F1 score achieved on the test set, based on the official evaluation, is 0.5452. More information about the original pre-trained model can be found here
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+Classification examples:
+
 from transformers import T5ForConditionalGeneration, T5Tokenizer
 import torch
 model = T5ForConditionalGeneration.from_pretrained("sana-ngu/HaT5")