This repository applies transfer learning with the Llama 3.2-1B/Gemma model for sentiment classification using the SST-2 dataset. The project involves freezing base model parameters, adding task-specific layers, and training for optimal performance. Results are analyzed and compared between zero-shot and transfer learning outputs.
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Updated
Dec 5, 2024 - Jupyter Notebook