rafmacalaba/datause-classifier-multitask

datause-classifier-multitask

Fine-tune of LiquidAI/LFM2.5-Encoder-230M with two heads: a page has_data gate and a document teratopic domain classifier.

Labels

30 teratopic sector themes (see encoder_labels.json).

Training

• —base model: LiquidAI/LFM2.5-Encoder-230M
• —epochs: 3
• —learning rate: 2e-05
• —max_length: 2048
• —precision: bf16

Evaluation (holdout)

Gate (page has_data)

• —threshold: 0.95
• —precision: 0.9409
• —recall: 0.8785
• —F1: 0.9086
• —% pages flagged negative: 0.4604

Domain (teratopic)

• —micro F1: 0.5245
• —macro F1: 0.3940
• —mean average precision: 0.5031