readme doc edited

README.md

@@ -14,23 +14,32 @@ widget:
 - text: "How I fit chop for here?"
 ---
 
-## DialoGPT_AfriWOZ
+## DialoGPT_AfriWOZ (Pidgin)
+
 This is a fine-tuned model of DialoGPT (small) on the AfriWOZ dataset. It is intended to be used as a conversational system in Nigeria Pidgin English language.
 The dataset it's trained on is limited in scope, as it covers only certain domains such as restaurants, hotel, taxi, and booking.
-The perplexity achieved on the validation set  38.52.
+
+The perplexity achieved on the validation set is 38.52.
+
 * Generation example from an interactive environment:
+
 |Role | Response |
-|---------|------------|
+|------|------------|
 |User | I hear say restaurant dey here. |
-|Bot |  |
+|Bot | I dey find restaurant. |
 |User | Abeg you fit tell me which kind chop dey? |
-|Bot |  |
+|Bot | I no dey sure right now. |
 |User | You do well. Thank you. |
-|Bot | |
+|Bot | I dey find restauarant. |
+
 Please find the information about preprocessing, training and full details of the DialoGPT in the [original DialoGPT repository](https://github.com/microsoft/DialoGPT)
+
 The paper for this work can be found on arXiv: [https://arxiv.org/pdf/2204.08083.pdf](https://arxiv.org/pdf/2204.08083.pdf)
+
 ### How to use
+
 Now we are ready to try out how the model works as a chatting partner!
+
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 import torch