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.
40 lines
1.3 KiB
JSON
40 lines
1.3 KiB
JSON
[
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{
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"_note": "Single-eye + all_losses + Hadamard FusionBridge. Pairs with the in-flight ensemble_single_refugelike (single+BCD+Hadamard) to isolate the BCD-vs-all-losses effect. v3 phase 3 originally showed BCD generalizes better; this re-establishes it in v4.",
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"run_name": "experiments/phase3_v4/single_all_losses_hadamard",
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"reps": 10,
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"overrides": {
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"training": { "tower_loss_mode": "all_losses" }
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}
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},
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{
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"_note": "Single-eye + BCD + ConcatBridge. Pairs with in-flight baseline (single+BCD+Hadamard) to isolate the bridge effect. Justifies why we use FusionBridge (Hadamard) as default.",
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"run_name": "experiments/phase3_v4/single_bcd_concat",
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"reps": 10,
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"stage_overrides": {
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"nt": {
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"module": "v4.classes.bridges.concat_bridge",
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"class": "ConcatBridge",
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"args": { "fusion_dim": 256 }
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}
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}
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},
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{
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"_note": "Single-eye + all_losses + ConcatBridge. Fourth cell of the BCD-vs-all-losses × Hadamard-vs-Concat 2x2.",
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"run_name": "experiments/phase3_v4/single_all_losses_concat",
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"reps": 10,
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"overrides": {
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"training": { "tower_loss_mode": "all_losses" }
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},
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"stage_overrides": {
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"nt": {
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"module": "v4.classes.bridges.concat_bridge",
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"class": "ConcatBridge",
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"args": { "fusion_dim": 256 }
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}
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}
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}
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]
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