Multi-stage classification results (stigma)
收藏NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/Multi-stage_classification_results_stigma_/29429024
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The performance metrics of the stigma classification using (i) only authentic data and (ii) the blended versions of the dataset for detecting vaccine positions and vaccine-related stigma on social media.
The following hyperparameters were used during the fine-tuning process: 20 epochs, 5 × 106 learning rate, AdamWoptimizer, batch size of 8 samples, and saving the model with the highest accuracy on test data. The fine-tuning process and experiments were performed using a computer with Intel(R) Core(TM) i712700 CPU at 2.10GHz, 32 GB RAM, and Nvidia GeForce GTX 16660 SUPER.
创建时间：
2025-06-27
