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Implementation of ELECTRA pretraining architecture on a logic-focused corpus. Achieved 96.42% discriminator accuracy with 80% reduction in discriminator loss. Includes generator-discriminator training pipeline, domain adaptive pretraining, and comparison with RoBERTa baseline

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