Update README.md

README.md

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 ## Overview
 This BERT-based text classifier was developed as a thesis project for the Computer Engineering degree at Universidad de Buenos Aires (UBA). 
 The model is designed to detect sentiments in Spanish and was fine-tuned on the *dccuchile/bert-base-spanish-wwm-uncased* model using a specific set of hyperparameters. 
-It was trained on a dataset containing 11,500 Spanish tweets collected from various regions, both positive and negative. This model was trained using a well-curated combination of datasets from TASS.
+It was trained on a dataset containing 11,500 Spanish tweets collected from various regions, both positive and negative. These tweets were sourced from a well-curated combination of TASS datasets.
 
 
 ## Team Members