ctt train-calibrated results 2026-07-03T16:40:14Z: runs/ctt_base_context_obs_learned_dominance_success_train_to_test
Browse files- runs/ctt_base_context_obs_learned_dominance_success_train_to_test/command.txt +1 -0
- runs/ctt_base_context_obs_learned_dominance_success_train_to_test/config.yaml +11 -0
- runs/ctt_base_context_obs_learned_dominance_success_train_to_test/data_hash.txt +6 -0
- runs/ctt_base_context_obs_learned_dominance_success_train_to_test/eval.log +3 -0
- runs/ctt_base_context_obs_learned_dominance_success_train_to_test/git_hash.txt +1 -0
- runs/ctt_base_context_obs_learned_dominance_success_train_to_test/metrics.json +0 -0
- runs/ctt_base_context_obs_learned_dominance_success_train_to_test/metrics_by_seed.json +2762 -0
- runs/ctt_base_context_obs_learned_dominance_success_train_to_test/metrics_by_task.json +117 -0
- runs/ctt_base_context_obs_learned_dominance_success_train_to_test/report.md +17 -0
- runs/ctt_base_context_obs_learned_dominance_success_train_to_test/split_hash.txt +14 -0
- runs/ctt_base_context_obs_learned_dominance_success_train_to_test/table.tex +8 -0
- runs/ctt_base_context_obs_learned_dominance_success_train_to_test/train.log +4 -0
runs/ctt_base_context_obs_learned_dominance_success_train_to_test/command.txt
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python scripts/eval_learned_dominance_selector.py --calibration-input runs/ctt_base_context_obs_train_cal_rollout_comparison/combined_measured_candidates.json --calibration-target-index data/cil_charts_rgb_refs/train/index.json --eval-input runs/ctt_base_context_obs_test_rollout_comparison/combined_measured_candidates.json --eval-target-index data/cil_charts_rgb_refs/test/index.json --checkpoint-template runs/ctt_residual_base_context_obs_seed{seed}/model.pt --out-dir runs/ctt_base_context_obs_learned_dominance_success_train_to_test --feature-set basic --target success --k 8 --bootstrap-samples 1000
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runs/ctt_base_context_obs_learned_dominance_success_train_to_test/config.yaml
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bootstrap_samples: 1000
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calibration_input: runs/ctt_base_context_obs_train_cal_rollout_comparison/combined_measured_candidates.json
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calibration_target_index: data/cil_charts_rgb_refs/train/index.json
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checkpoint_template: runs/ctt_residual_base_context_obs_seed{seed}/model.pt
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eval_input: runs/ctt_base_context_obs_test_rollout_comparison/combined_measured_candidates.json
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eval_target_index: data/cil_charts_rgb_refs/test/index.json
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feature_set: basic
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k: 8
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out_dir: runs/ctt_base_context_obs_learned_dominance_success_train_to_test
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ridge_lambdas: 0,0.01,0.1,1,10,100
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target: success
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runs/ctt_base_context_obs_learned_dominance_success_train_to_test/data_hash.txt
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{
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"calibration_input": "3ba12f974e07c55307cee1da7eb33e96150557cde08248561b2e69cf0fca1f86",
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"calibration_target_index": "917d372cd8ba921f6157abf6914ba32116a6c95857f04a39bed16b4563b01eb9",
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"eval_input": "855f6d9ced75c3e0ced1d598ad36d72141eea98936dcee39b7bb1274242a9bb1",
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"eval_target_index": "5c726c14d088a48c6a37c43257ea455f5d3ae37708c113c666118441463cff8b"
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}
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runs/ctt_base_context_obs_learned_dominance_success_train_to_test/eval.log
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evaluated learned fallback rule on held-out measured rollout rows
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eval_input=runs/ctt_base_context_obs_test_rollout_comparison/combined_measured_candidates.json
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num_eval_rows=144
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runs/ctt_base_context_obs_learned_dominance_success_train_to_test/git_hash.txt
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14e81292e2004925f81e0bb4810f6f144bfd87b7
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runs/ctt_base_context_obs_learned_dominance_success_train_to_test/metrics.json
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The diff for this file is too large to render.
See raw diff
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runs/ctt_base_context_obs_learned_dominance_success_train_to_test/metrics_by_seed.json
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runs/ctt_base_context_obs_learned_dominance_success_train_to_test/metrics_by_task.json
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"LiftPegUpright-v1": {
|
| 3 |
+
"base_success": 0.2,
|
| 4 |
+
"base_utility": 0.9498705387115478,
|
| 5 |
+
"coverage": 0.8,
|
| 6 |
+
"execute_generated": 0.8,
|
| 7 |
+
"fallback_rate": 0.2,
|
| 8 |
+
"hidden_chart_oracle_success": 1.0,
|
| 9 |
+
"hidden_chart_oracle_utility": 2.0,
|
| 10 |
+
"outcome_ptr": 0.6,
|
| 11 |
+
"predicted_margin": 0.3165794975360194,
|
| 12 |
+
"proposal_oracle_success": 0.7333333333333333,
|
| 13 |
+
"proposal_oracle_utility": 1.5761187195777893,
|
| 14 |
+
"selected_candidate_index": 3.0,
|
| 15 |
+
"selected_success": 0.26666666666666666,
|
| 16 |
+
"selected_success_gain_over_base": 0.06666666666666667,
|
| 17 |
+
"selected_utility": 0.8863775124152501,
|
| 18 |
+
"selected_utility_gain_over_base": -0.0634930262962977,
|
| 19 |
+
"selector_regret": 0.7155201315879822,
|
| 20 |
+
"success_selector_gap": 0.4666666666666667,
|
| 21 |
+
"success_support_gap": 0.26666666666666666,
|
| 22 |
+
"support_gap": 0.4238812804222107,
|
| 23 |
+
"tau": 0.288910690801741
|
| 24 |
+
},
|
| 25 |
+
"PickCube-v1": {
|
| 26 |
+
"base_success": 0.0,
|
| 27 |
+
"base_utility": 0.5839591026306152,
|
| 28 |
+
"coverage": 1.0,
|
| 29 |
+
"execute_generated": 1.0,
|
| 30 |
+
"fallback_rate": 0.0,
|
| 31 |
+
"hidden_chart_oracle_success": 1.0,
|
| 32 |
+
"hidden_chart_oracle_utility": 2.0,
|
| 33 |
+
"outcome_ptr": 0.0,
|
| 34 |
+
"predicted_margin": 0.400859267912522,
|
| 35 |
+
"proposal_oracle_success": 0.0,
|
| 36 |
+
"proposal_oracle_utility": 0.14042885601520538,
|
| 37 |
+
"selected_candidate_index": 4.0,
|
| 38 |
+
"selected_success": 0.0,
|
| 39 |
+
"selected_success_gain_over_base": 0.0,
|
| 40 |
+
"selected_utility": 0.11226301764448483,
|
| 41 |
+
"selected_utility_gain_over_base": -0.4716960849861304,
|
| 42 |
+
"selector_regret": 0.028165838370720547,
|
| 43 |
+
"success_selector_gap": 0.0,
|
| 44 |
+
"success_support_gap": 1.0,
|
| 45 |
+
"support_gap": 1.8595711439847946,
|
| 46 |
+
"tau": 0.288910690801741
|
| 47 |
+
},
|
| 48 |
+
"PullCube-v1": {
|
| 49 |
+
"base_success": 0.36,
|
| 50 |
+
"base_utility": 0.7751704612234608,
|
| 51 |
+
"coverage": 0.6133333333333333,
|
| 52 |
+
"execute_generated": 0.6133333333333333,
|
| 53 |
+
"fallback_rate": 0.38666666666666666,
|
| 54 |
+
"hidden_chart_oracle_success": 0.52,
|
| 55 |
+
"hidden_chart_oracle_utility": 1.1467878860235214,
|
| 56 |
+
"outcome_ptr": 0.4533333333333333,
|
| 57 |
+
"predicted_margin": 0.3093096789241044,
|
| 58 |
+
"proposal_oracle_success": 0.48,
|
| 59 |
+
"proposal_oracle_utility": 1.0064672262904544,
|
| 60 |
+
"selected_candidate_index": 3.0,
|
| 61 |
+
"selected_success": 0.30666666666666664,
|
| 62 |
+
"selected_success_gain_over_base": -0.05333333333333334,
|
| 63 |
+
"selected_utility": 0.667844362364461,
|
| 64 |
+
"selected_utility_gain_over_base": -0.10732609885899971,
|
| 65 |
+
"selector_regret": 0.46678621487071115,
|
| 66 |
+
"success_selector_gap": 0.24,
|
| 67 |
+
"success_support_gap": 0.09333333333333334,
|
| 68 |
+
"support_gap": 0.23335681801661848,
|
| 69 |
+
"tau": 0.28891069080174125
|
| 70 |
+
},
|
| 71 |
+
"PushCube-v1": {
|
| 72 |
+
"base_success": 0.16666666666666666,
|
| 73 |
+
"base_utility": 0.3924041787783305,
|
| 74 |
+
"coverage": 0.8333333333333334,
|
| 75 |
+
"execute_generated": 0.8333333333333334,
|
| 76 |
+
"fallback_rate": 0.16666666666666666,
|
| 77 |
+
"hidden_chart_oracle_success": 0.8333333333333334,
|
| 78 |
+
"hidden_chart_oracle_utility": 1.7015800600250561,
|
| 79 |
+
"outcome_ptr": 0.7777777777777778,
|
| 80 |
+
"predicted_margin": 0.3378348162819955,
|
| 81 |
+
"proposal_oracle_success": 0.6666666666666666,
|
| 82 |
+
"proposal_oracle_utility": 1.364444797237714,
|
| 83 |
+
"selected_candidate_index": 1.9444444444444444,
|
| 84 |
+
"selected_success": 0.3888888888888889,
|
| 85 |
+
"selected_success_gain_over_base": 0.2222222222222222,
|
| 86 |
+
"selected_utility": 0.8178884767823749,
|
| 87 |
+
"selected_utility_gain_over_base": 0.4254842980040444,
|
| 88 |
+
"selector_regret": 0.5481036975979805,
|
| 89 |
+
"success_selector_gap": 0.2777777777777778,
|
| 90 |
+
"success_support_gap": 0.3333333333333333,
|
| 91 |
+
"support_gap": 0.6355552027622858,
|
| 92 |
+
"tau": 0.2889106908017409
|
| 93 |
+
},
|
| 94 |
+
"StackCube-v1": {
|
| 95 |
+
"base_success": 0.2727272727272727,
|
| 96 |
+
"base_utility": 0.7763947045261209,
|
| 97 |
+
"coverage": 0.8787878787878788,
|
| 98 |
+
"execute_generated": 0.8787878787878788,
|
| 99 |
+
"fallback_rate": 0.12121212121212122,
|
| 100 |
+
"hidden_chart_oracle_success": 1.0,
|
| 101 |
+
"hidden_chart_oracle_utility": 2.0,
|
| 102 |
+
"outcome_ptr": 0.6060606060606061,
|
| 103 |
+
"predicted_margin": 0.33195146262815795,
|
| 104 |
+
"proposal_oracle_success": 0.45454545454545453,
|
| 105 |
+
"proposal_oracle_utility": 1.1071163348176263,
|
| 106 |
+
"selected_candidate_index": 3.242424242424242,
|
| 107 |
+
"selected_success": 0.12121212121212122,
|
| 108 |
+
"selected_success_gain_over_base": -0.15151515151515152,
|
| 109 |
+
"selected_utility": 0.43286885501760425,
|
| 110 |
+
"selected_utility_gain_over_base": -0.3435258495085167,
|
| 111 |
+
"selector_regret": 0.6748905412175439,
|
| 112 |
+
"success_selector_gap": 0.3333333333333333,
|
| 113 |
+
"success_support_gap": 0.5454545454545454,
|
| 114 |
+
"support_gap": 0.8928836651823737,
|
| 115 |
+
"tau": 0.28891069080174087
|
| 116 |
+
}
|
| 117 |
+
}
|
runs/ctt_base_context_obs_learned_dominance_success_train_to_test/report.md
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Learned Dominance-Calibrated CTT Selector
|
| 2 |
+
|
| 3 |
+
Calibration rows: `432`
|
| 4 |
+
Eval rows: `144`
|
| 5 |
+
Selected ridge lambda: `100.0`
|
| 6 |
+
Tau: `0.288911`
|
| 7 |
+
Feature set: `basic`
|
| 8 |
+
Target: `success`
|
| 9 |
+
|
| 10 |
+
The ridge calibrator and threshold are fit on calibration measured rows only. Eval outcomes are used only for reporting.
|
| 11 |
+
|
| 12 |
+
| Split | Coverage | Fallback | Base success | Selected success | Proposal oracle | OutcomePTR | Success support gap | Success selector gap |
|
| 13 |
+
| --- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
|
| 14 |
+
| calibration | 0.7176 | 0.2824 | 0.2778 | 0.3125 | 0.4722 | 0.4907 | 0.2315 | 0.2014 |
|
| 15 |
+
| eval | 0.7292 | 0.2708 | 0.2917 | 0.2639 | 0.5139 | 0.5347 | 0.2639 | 0.2847 |
|
| 16 |
+
|
| 17 |
+
This is a selector diagnostic over already measured candidates, not a new rollout.
|
runs/ctt_base_context_obs_learned_dominance_success_train_to_test/split_hash.txt
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"calibration_target_index": {
|
| 3 |
+
"content_hash": "1d15143588697e89f7fc2f6375b2745e4d479c726c9a947ff7eb7b2705280e1a",
|
| 4 |
+
"retrieval_index_allowed": true,
|
| 5 |
+
"split": "train",
|
| 6 |
+
"split_hash": "867a94a1c67686c082765671a7bf8d74a9d633085e1b2619c83197c60bf58372"
|
| 7 |
+
},
|
| 8 |
+
"eval_target_index": {
|
| 9 |
+
"content_hash": "d258ed27d587e6f41ef6ffd520832087fe7626b5e5cba2bd6352f50a1f45125a",
|
| 10 |
+
"retrieval_index_allowed": false,
|
| 11 |
+
"split": "test",
|
| 12 |
+
"split_hash": "84151df9e88c219b76751677558cc5bbbc19082bf358cea7330158e9e403e25f"
|
| 13 |
+
}
|
| 14 |
+
}
|
runs/ctt_base_context_obs_learned_dominance_success_train_to_test/table.tex
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
% Auto-generated by scripts/eval_learned_dominance_selector.py
|
| 2 |
+
\begin{tabular}{lrrrrrrrr}
|
| 3 |
+
\toprule
|
| 4 |
+
Rows & Coverage & Fallback & Base succ. & Selected succ. & Oracle succ. & OutcomePTR & Succ. support gap & Succ. selector gap \\
|
| 5 |
+
\midrule
|
| 6 |
+
144 & 0.7292 & 0.2708 & 0.2917 & 0.2639 & 0.5139 & 0.5347 & 0.2639 & 0.2847 \\
|
| 7 |
+
\bottomrule
|
| 8 |
+
\end{tabular}
|
runs/ctt_base_context_obs_learned_dominance_success_train_to_test/train.log
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
trained ridge dominance calibrator on calibration measured rows only
|
| 2 |
+
selected_lambda=100.0
|
| 3 |
+
tau=0.288911
|
| 4 |
+
calibration_input=runs/ctt_base_context_obs_train_cal_rollout_comparison/combined_measured_candidates.json
|