FWF-5342: [Documentation] Readme updates

Author: auslin-aot

forms-flow-data-analysis-api/README.md

@@ -2,7 +2,7 @@
 
 ![Python](https://img.shields.io/badge/Python-3.11.7-blue) ![Flask](https://img.shields.io/badge/Flask-3.1.1-blue) ![postgres](https://img.shields.io/badge/postgres-13.0-blue)
 ![Transformers](https://img.shields.io/badge/Transformers-4.54.1-blue)
-![Torch](https://img.shields.io/badge/Torch-2.7.1-blue)
+![Torch](https://img.shields.io/badge/Torch-2.8.0-blue)
 
 Sentiment Analysisis used to understand the sentiments of the customer for products, movies, and other such things, whether they feel positive, negative, or neutral about it. BERT is a very good pre-trained language model which helps machines learn excellent representations of text with respect to context in many natural language tasks. 
 

forms-flow-data-analysis-api/model_training/README.md

@@ -1,6 +1,6 @@
 ## How to train on your own dataset
 
-![Python](https://img.shields.io/badge/python-3.11.7-blue) ![Transformers](https://img.shields.io/badge/Transformers-4.25.1-blue) ![Torch](https://img.shields.io/badge/torch-1.13.1-blue)
+![Python](https://img.shields.io/badge/python-3.11.7-blue) ![Transformers](https://img.shields.io/badge/Transformers-4.54.1-blue) ![Torch](https://img.shields.io/badge/torch-2.8.0-blue)
 
 Transformers provides APIs to easily download and train state-of-the-art pretrained models. Using pretrained models can reduce your compute costs, carbon footprint, and save you time from training a model from scratch. The models can be used across different modalities.
 It is built using Python :snake: .