README updated

README.md

@@ -1 +1,30 @@
-PCL
+---
+thumbnail: https://huggingface.co/front/thumbnails/dialogpt.png
+language:
+- en
+license: cc-by-4.0
+tags:
+- conversational
+- transformers
+datasets:
+- multi_woz_v22
+metrics:
+- perplexity
+widget:
+-
+---
+
+## T5Base-PCL
+This is a fine-tuned model of T5 (base) on the patronizing and condenscending language (PCL) dataset by Pérez-Almendros et al (2020) used for Task 4 competition of SemEval-2022.
+It is intended to be used as a classification model for identifying PCL. 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](https://huggingface.co/t5-base)
+
+### How to use
+
+```python
+from transformers import T5ForConditionalGeneration, T5Tokenizer
+import torch
+tokenizer = AutoTokenizer.from_pretrained("tosin/pcl_22")
+model = AutoModelForCausalLM.from_pretrained("tosin/pcl_22")