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Murtaza-mahudawala/Topic_Classification_SLM
This repository contains a PyTorch-based text classification model for the AG News dataset. The model uses embeddings and a fully connected layer for classification. Tokenization is done via NLTK, and the model is optimized using Adam. After 10 epochs, the model achieved a test accuracy of 91.45%.
PythonMIT