A full fine-tune of answerdotai/ModernBERT-large for comparing whether two English fanfiction documents share an author. Training used peterkirby/pan2020dictauthorfandomdoc, a global contrastive batch of 4096 documents, and a maximum input length of 4096 tokens per document. The saved binary cosine-similarity rule achieved 98.4199% accuracy on the PAN21 test split. The original evaluation records are included in evaluationresults.json and traininghistory.parquet. The encoder has 28 Transformer layers, 1024-dimensional hidden states, and 394,781,696 encoder parameters. It uses the ModernBERT tokenizer, attention-mask-aware mean pooling over all non-padding tokens, and L2 normalization.…