Update README.md

README.md

@@ -41,22 +41,19 @@ model-index:
 
 # flan-t5-base-mnli
 
-## Table of Contents
-- [Model Details](#model-details)
-- [How To Get Started With the Model](#how-to-get-started-with-the-model)
-- [Uses](#uses)
-- [Risks, Limitations and Biases](#risks-limitations-and-biases)
+flan-t5-base-mnli is the [flan-T5 base model](https://huggingface.co/google/flan-t5-base) fine-tuned on the [Multi-Genre Natural Language Inference (MNLI)](https://huggingface.co/datasets/multi_nli) corpus. 
 
-## Model Details
+## Overview
 
-**Model Description:** flan-t5-base-mnli is the [flan-T5 base model](https://huggingface.co/google/flan-t5-base) fine-tuned on the [Multi-Genre Natural Language Inference (MNLI)](https://huggingface.co/datasets/multi_nli) corpus. 
-
-- **Model Type:** Transformer-based language model
-- **Language(s):** English
 - **License:** MIT 
-- **Parent Model:** This model is a fine-tuned version of the flan-T5 base model. Users should see the [flan-T5 base model card](https://huggingface.co/google/flan-t5-base) for relevant information.
+- **Language model:** flan-t5-base  
+- **Language:** English  
+- **Downstream-task:** Zero-shot Classification, Text Classification  
+- **Training data:** MNLI  
+- **Eval data:** MNLI (Matched and Mismatched)  
+- **Infrastructure**: 1x NVIDIA 3070  
 
-## How to Get Started with the Model 
+## Model Usage
 
 Use the code below to get started with the model. The model can be loaded with the zero-shot-classification pipeline like so:
 
@@ -118,5 +115,4 @@ hypothesis_template = "This text speaks about a {} profession."
 classifier(sequence_to_classify, candidate_labels, hypothesis_template=hypothesis_template)
 ```
 
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model.
-```
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model.