https://github.com/bp0609/llama3.2-transfer-learning-for-classification-task
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.
https://github.com/bp0609/llama3.2-transfer-learning-for-classification-task
classification-task llama3-2-1b-model sst2-dataset transfer-learning
Last synced: 3 months ago
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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.
- Host: GitHub
- URL: https://github.com/bp0609/llama3.2-transfer-learning-for-classification-task
- Owner: bp0609
- Created: 2024-12-05T14:57:33.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-12-05T16:06:54.000Z (6 months ago)
- Last Synced: 2024-12-05T16:19:28.430Z (6 months ago)
- Topics: classification-task, llama3-2-1b-model, sst2-dataset, transfer-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 467 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0