Add high-resolution fine-tuning stage (Midnight paper Section 2)#66
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anas-zafar wants to merge 1 commit intoMedARC-AI:mainfrom
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Add high-resolution fine-tuning stage (Midnight paper Section 2)#66anas-zafar wants to merge 1 commit intoMedARC-AI:mainfrom
anas-zafar wants to merge 1 commit intoMedARC-AI:mainfrom
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Implements the post-training procedure from the Midnight MICCAI 2025 paper that fine-tunes the model at 392x392 global crops for 120k optimizer steps to produce richer patch embeddings. - vitg14_reg4_highres.yaml: new config (392px crops, lr=1e-4, accum=3, 96 epochs) - run_highres.sh: launch script with checkpoint validation and resume support - train.py: add _load_from_teacher_checkpoint(), gradient accumulation inner loop, fix eval transform to use cfg.crops.global_crops_size not hardcoded 224 - ssl_meta_arch.py: forward_backward accepts accumulation_steps and divides loss before backward so each micro-batch contributes equally to gradients - config.py: LR scaling uses effective batch (micro-batch x GPUs x accum_steps) so gradient accumulation does not silently under-scale the learning rate - ssl_default_config.yaml: add gradient_accumulation_steps and pretrained_weights defaults (both backward-compatible with existing stage-1 runs)
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