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.
45 lines
1.6 KiB
JSON
45 lines
1.6 KiB
JSON
[
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{
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"_note": "Tritower (img + cd + geom) at the new img backbone. 10 reps — definite test, establishes whether the geom tower adds value over img+cd.",
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"run_name": "experiments/refuge_v2m_baseline/tritower",
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"reps": 10,
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"tower_overrides": {
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"img": { "args": { "backbone": "refuge_efficientnet_v2_m", "freeze_ratio": 0.0 } }
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}
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},
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{
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"_note": "Tritower + OrthoBridge w=0.1 (best ortho weight from earlier sweep) wrapping Hadamard inner. Bumped to 10 reps after 3-rep showed 0.9059 with tight std — wanted to confirm against plain tritower's 0.9040.",
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"run_name": "experiments/refuge_v2m_baseline/tritower_ortho_w0.1",
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"reps": 10,
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"tower_overrides": {
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"img": { "args": { "backbone": "refuge_efficientnet_v2_m", "freeze_ratio": 0.0 } }
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},
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"stage_overrides": {
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"nt": {
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"module": "v4.classes.bridges.ortho_bridge",
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"class": "OrthoBridge",
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"args": {
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"fusion_dim": 256,
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"ortho_weight": 0.1,
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"inner_module": "v4.classes.bridges.fusion_bridge",
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"inner_class": "FusionBridge",
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"inner_args": { "fusion_dim": 256 }
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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": "Tritower + bottleneck (fusion_dim=8) — tests whether the strong img backbone can survive aggressive bottlenecking.",
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"run_name": "experiments/refuge_v2m_baseline/tritower_bottleneck",
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"reps": 3,
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"tower_overrides": {
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"img": { "args": { "backbone": "refuge_efficientnet_v2_m", "freeze_ratio": 0.0 } }
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},
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"stage_overrides": {
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"nt": { "args": { "fusion_dim": 8 } }
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}
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}
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]
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