README updated again

README.md

@@ -4,20 +4,21 @@ language:
 - en
 license: cc-by-4.0
 tags:
-- conversational
+- text classification
 - transformers
 datasets:
-- multi_woz_v22
+- PCL
 metrics:
-- perplexity
+- F1
 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.
+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)
 
@@ -26,5 +27,6 @@ More information about the original pre-trained model can be found [here](https:
 ```python
 from transformers import T5ForConditionalGeneration, T5Tokenizer
 import torch
-tokenizer = AutoTokenizer.from_pretrained("tosin/pcl_22")
-model = AutoModelForCausalLM.from_pretrained("tosin/pcl_22")
+tokenizer = T5Tokenizer.from_pretrained("tosin/pcl_22")
+model = T5ForConditionalGeneration.from_pretrained("tosin/pcl_22")
+tokenizer.pad_token = tokenizer.eos_token