rpotter6298
280060db82
- Introduced multiple regression experiment configurations targeting vf_md, including: - cd_solo_reg_set.json: CD tower only regression setup. - img_solo_reg_set.json: Image tower only regression setup. - reg_head_epoch_sweep.json: Baseline regression sweeps at different epochs (50, 75, 100). - reg_head_set.json: Various regression setups including baseline and OrthoBridge configurations. - single_eye_reg.json: Single-eye regression setup for worst-eye aggregation analysis. - Added ensemble configurations for OrthoBridge with different inner bridges: - ortho_alts_ensemble.json: Ensemble tests with ConcatBridge, PairwiseAdditiveBridge, and GatedAdditiveBridge. - ortho_alts_tritower.json: Tritower tests with the same inner bridges. - Created V2-M specific configurations: - baseline_reg_nt50.json: Regression baseline with V2-M backbone. - geom_vec_gt.json and geom_vec_unet.json: Geometry vector injection experiments with V2-M. - single_l1_bridges.json: Single-eye ensemble experiments with various bridge types. - tritower_geom_gt.json: Tritower setup with GT contour-rasterized masks. - Promoted existing experiments to higher repetitions for robustness.
47 lines
1.2 KiB
JSON
47 lines
1.2 KiB
JSON
[
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{
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"_note": "Hypothesis 1 — ImageNet pretraining is OOD for fundus; freezing low-level filters helps. Keep tiny but freeze 60% of stages (stem + first 2 of 4 stages).",
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"run_name": "experiments/convnext/baseline_convnextv2_tiny_freeze60",
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"reps": 3,
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"tower_overrides": {
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"img": {
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"args": {
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"backbone": "convnextv2_tiny",
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"freeze_ratio": 0.6
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}
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}
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}
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},
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{
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"_note": "Hypothesis 2 — model too big for 330 patients; try the smallest variant.",
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"run_name": "experiments/convnext/baseline_convnextv2_atto",
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"reps": 3,
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"tower_overrides": {
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"img": {
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"args": {
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"backbone": "convnextv2_atto",
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"freeze_ratio": 0.0
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}
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}
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}
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},
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{
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"_note": "Hypothesis 3 — LR too high for the bigger model from ImageNet init; halve LR with the tiny backbone unfrozen.",
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"run_name": "experiments/convnext/baseline_convnextv2_tiny_lr5e5",
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"reps": 3,
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"overrides": {
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"training": { "lr": 5e-5 }
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},
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"tower_overrides": {
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"img": {
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"args": {
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"backbone": "convnextv2_tiny",
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"freeze_ratio": 0.0
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}
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}
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}
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}
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]
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