targeted sync runs/ctt_gated_residual_smoke
Browse files- workspace/runs/ctt_gated_residual_smoke/command.txt +1 -0
- workspace/runs/ctt_gated_residual_smoke/config.yaml +18 -0
- workspace/runs/ctt_gated_residual_smoke/data_hash.txt +1 -0
- workspace/runs/ctt_gated_residual_smoke/eval.log +1 -0
- workspace/runs/ctt_gated_residual_smoke/git_hash.txt +1 -0
- workspace/runs/ctt_gated_residual_smoke/metrics.json +21 -0
- workspace/runs/ctt_gated_residual_smoke/metrics_by_seed.json +1 -0
- workspace/runs/ctt_gated_residual_smoke/metrics_by_task.json +1 -0
- workspace/runs/ctt_gated_residual_smoke/model.pt +3 -0
- workspace/runs/ctt_gated_residual_smoke/report.md +9 -0
- workspace/runs/ctt_gated_residual_smoke/split_hash.txt +1 -0
- workspace/runs/ctt_gated_residual_smoke/table.tex +8 -0
- workspace/runs/ctt_gated_residual_smoke/train.log +3 -0
workspace/runs/ctt_gated_residual_smoke/command.txt
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python scripts/train_ctt.py --dataset data/cil_charts/train/index.json --out-dir runs/ctt_gated_residual_smoke --variant gated_residual --epochs 1 --max-charts 16 --neighbors 2 --lr 0.001 --seed 0 --transport-samples-per-pair 4
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workspace/runs/ctt_gated_residual_smoke/config.yaml
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config: None
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cycle: 0.1
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dataset: data/cil_charts/train/index.json
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diversity: 0.05
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diversity_temperature: 1.0
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epochs: 1
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listwise_rank: 0.5
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lr: 0.001
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max_charts: 16
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negative_boundary: 0.25
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negative_margin: 0.2
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neighbors: 2
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out_dir: runs/ctt_gated_residual_smoke
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pairwise_rank: 1.0
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pos_alignment: 1.0
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seed: 0
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transport_samples_per_pair: 4
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variant: gated_residual
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workspace/runs/ctt_gated_residual_smoke/data_hash.txt
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90b431047a1f35cec095cbafa7de5bc0126cb0d0f4db3ff31843dca369977957
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workspace/runs/ctt_gated_residual_smoke/eval.log
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eval not run by train_ctt.py
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workspace/runs/ctt_gated_residual_smoke/git_hash.txt
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14e81292e2004925f81e0bb4810f6f144bfd87b7
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workspace/runs/ctt_gated_residual_smoke/metrics.json
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{
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"data_hash": "90b431047a1f35cec095cbafa7de5bc0126cb0d0f4db3ff31843dca369977957",
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"epochs": 1,
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"final_mean_loss": 17.86949614541871,
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"loss_weights": {
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"cycle": 0.1,
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"diversity": 0.05,
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"diversity_temperature": 1.0,
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"listwise_rank": 0.5,
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"negative_boundary": 0.25,
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"negative_margin": 0.2,
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"pairwise_rank": 1.0,
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"pos_alignment": 1.0,
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"transport_samples_per_pair": 4
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},
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"num_charts": 16,
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"num_pairs": 28,
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"report_type": "ctt_train",
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"split_hash": "867a94a1c67686c082765671a7bf8d74a9d633085e1b2619c83197c60bf58372",
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"variant": "gated_residual"
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}
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workspace/runs/ctt_gated_residual_smoke/metrics_by_seed.json
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{}
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workspace/runs/ctt_gated_residual_smoke/metrics_by_task.json
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{}
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workspace/runs/ctt_gated_residual_smoke/model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4b9889a717f2b7fa568e21cbe245cea96376346c82973bc754371e60c62a48e1
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size 521237
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workspace/runs/ctt_gated_residual_smoke/report.md
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# CTT Train Report
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Variant: `gated_residual`
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Charts: `16`
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Neighbor pairs: `28`
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Final mean loss: `17.869496`
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Loss weights: `{"cycle": 0.1, "diversity": 0.05, "diversity_temperature": 1.0, "listwise_rank": 0.5, "negative_boundary": 0.25, "negative_margin": 0.2, "pairwise_rank": 1.0, "pos_alignment": 1.0, "transport_samples_per_pair": 4}`
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This smoke run trains CTT from measured train positives; it is not a rollout success claim.
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workspace/runs/ctt_gated_residual_smoke/split_hash.txt
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867a94a1c67686c082765671a7bf8d74a9d633085e1b2619c83197c60bf58372
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workspace/runs/ctt_gated_residual_smoke/table.tex
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% Auto-generated by scripts/train_ctt.py
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\begin{tabular}{lrrr}
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\toprule
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Variant & Charts & Pairs & Final loss \\
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\midrule
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gated_residual & 16 & 28 & 17.8695 \\
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\bottomrule
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\end{tabular}
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workspace/runs/ctt_gated_residual_smoke/train.log
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charts=16 pairs=28 variant=gated_residual
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loss_weights pos=1.0 neg=0.25 pairwise=1.0 listwise=0.5 cycle=0.1 diversity=0.05
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epoch=1 mean_loss=17.869496
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