timestamp model dataset epochs dim lr optimizer 1n recip n3 l2 swa rel_pred mrr h@1 h@3 h@10 head_mrr tail_mrr train_s commit command notes
2026-04-06T09:00 complex WN18RR 10 50 0.001 adamw yes yes 0 0 0 0 0.3964 0.3653 0.4126 0.4505 - - 2615 4136898 tranz train --data data/WN18RR/ --model complex --dim 50 --1n --label-smoothing 0.1 --reciprocals --epochs 10 --lr 0.001 --log-interval 5 --eval --output /tmp/tranz-quick quick validation (dim=50, 10ep)
2026-04-06T12:00 complex WN18RR 50 100 0.001 adamw yes yes 0 0 0 0 0.4334 0.4062 0.4435 0.4866 0.4049 0.4618 11286 9e1aadd tranz train --data data/WN18RR/ --model complex --dim 100 --1n --label-smoothing 0.1 --reciprocals --epochs 50 --lr 0.001 --eval baseline Adam 1-N 50ep
2026-04-06T12:00 complex WN18RR 50 100 0.001 adamw yes yes 0 0 25 0 0.4299 0.4022 0.4405 0.4876 0.4021 0.4577 11286 9e1aadd tranz train --data data/WN18RR/ --model complex --dim 100 --1n --label-smoothing 0.1 --reciprocals --epochs 50 --lr 0.001 --swa 25 --eval +SWA start=25 (SWA helps more at longer training)
2026-04-06T22:00 complex WN18RR 50 100 0.001 adamw yes yes 0 0 0 0.1 0.4099 0.3896 0.4177 0.4488 0.3831 0.4366 10224 9b9aabf tranz train --data data/WN18RR/ --model complex --dim 100 --1n --label-smoothing 0.1 --reciprocals --epochs 50 --lr 0.001 --rel-pred 0.1 --eval +rel-pred hurts on WN18RR (11 relations too few)
2026-04-07T00:00 complex WN18RR 100 100 0.1 adagrad yes yes 0.1 0 0 0 0.4275 0.3960 0.4373 0.4915 0.4050 0.4499 17840 da944d2 tranz train --data data/WN18RR/ --model complex --dim 100 --1n --reciprocals --optimizer adagrad --init-scale 1e-3 --n3 0.1 --lr 0.1 --epochs 100 --eval Adagrad+N3 (README recipe, no label-smoothing)