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This model takes the various social groups that might be mentioned in political speech, and assigns them to different meaningful groups. It allows the same text string to belong to multiple social groups, for example "girls" are mapped to both "women" and "children"

See Dolinsky et al (2025) for more information on social group categories and Horne et al (2025) for details on training, relation to other models, and use cases.

📊 Evaluation Results: {'eval_loss': 0.023458, 'eval_accuracy': 0.994933, 'eval_f1': 0.894393, 'eval_precision': 0.0.897170, 'eval_recall': 0.891632, 'eval_runtime': 5.9184, 'eval_samples_per_second': 232.831, 'eval_steps_per_second': 29.231, 'epoch': 29.914368650217707}

LEARNING_RATE = 1.9432557585419205e-05 WEIGHT_DECAY = 0.11740203810285466 WARMUP_RATIO = 0.018423412349675528

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