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.
44 lines
1.1 KiB
JSON
44 lines
1.1 KiB
JSON
[
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{
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"_note": "EfficientNetV2-S (ImageNet, torchvision). 20M params, 1280-dim output. Direct comparison to B7 unfrozen (0.9015 test AUC).",
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"run_name": "experiments/efficientnet/baseline_efficientnetv2_s",
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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": "efficientnet_v2_s",
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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": "EfficientNetV2-S + freeze 0.4. Applies the lesson from refugelike_freeze_sweep — anchoring low-level filters from ImageNet pretraining.",
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"run_name": "experiments/efficientnet/baseline_efficientnetv2_s_freeze40",
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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": "efficientnet_v2_s",
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"freeze_ratio": 0.4
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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": "EfficientNetV2-M (53M params). Mid-size variant; tests whether extra capacity helps or overfits on PAPILA.",
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"run_name": "experiments/efficientnet/baseline_efficientnetv2_m",
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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": "efficientnet_v2_m",
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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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