gap-text2sql
/
gap-text2sql-main
/mrat-sql-gap
/inference-results
/mBART50MtoM-large-en-pt-es-fr-train
/mBART50MtoM-large-en-pt-es-fr-train_es-eval_match-results.txt
Date= qui 01 jul 2021 20:05:28 -03 | |
Folder=/mnt/Files/nl2sql/gap-text2sql/rat-sql-gap | |
SubFolder=iedir/mBART50MtoM-large-en-pt-es-fr-train | |
Gold File=/mnt/Files/nl2sql/gap-text2sql/rat-sql-gap/ie_dirs/mBART50MtoM-large-en-pt-es-fr-train/divided/gold-es_mBART50MtoM-large-en-pt-es-fr-Eval-en-pt-es-fr.txt | |
Predict File=/mnt/Files/nl2sql/gap-text2sql/rat-sql-gap/ie_dirs/mBART50MtoM-large-en-pt-es-fr-train/divided/predict-es_mBART50MtoM-large-en-pt-es-fr-Eval-en-pt-es-fr_1_true_1-step-step.txt | |
Database=/mnt/Files/nl2sql/gap-text2sql/rat-sql-gap/data/spider-es/database | |
Type=match | |
Command example: | |
python3 evaluation.py --gold=/mnt/Files/nl2sql/gap-text2sql/rat-sql-gap/ie_dirs/mBART50MtoM-large-en-pt-es-fr-train/divided/gold-es_mBART50MtoM-large-en-pt-es-fr-Eval-en-pt-es-fr.txt --pred=/mnt/Files/nl2sql/gap-text2sql/rat-sql-gap/ie_dirs/mBART50MtoM-large-en-pt-es-fr-train/divided/predict-es_mBART50MtoM-large-en-pt-es-fr-Eval-en-pt-es-fr_1_true_1-step44100.txt --db=/mnt/Files/nl2sql/gap-text2sql/rat-sql-gap/data/spider-es/database --table=/mnt/Files/nl2sql/gap-text2sql/rat-sql-gap/data/spider-es/tables.json --etype match --plug_value | |
====================== EXACT MATCHING ACCURACY ===================== | |
- - - count 248 446 174 166 1034 | |
Train Infer Checkpoint Type Type Easy Medium Hard Extra All | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 8100 exact match 0.685 0.554 0.466 0.307 0.531 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 9100 exact match 0.746 0.587 0.425 0.343 0.559 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 10100 exact match 0.730 0.576 0.448 0.337 0.553 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 11100 exact match 0.726 0.608 0.494 0.325 0.572 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 12100 exact match 0.798 0.666 0.460 0.386 0.618 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 13100 exact match 0.778 0.610 0.420 0.355 0.577 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 14100 exact match 0.754 0.549 0.437 0.367 0.550 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 15100 exact match 0.778 0.608 0.454 0.331 0.578 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 16100 exact match 0.750 0.574 0.500 0.307 0.561 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 17100 exact match 0.802 0.632 0.460 0.343 0.598 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 18100 exact match 0.778 0.610 0.466 0.361 0.586 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 19100 exact match 0.762 0.630 0.460 0.373 0.592 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 20100 exact match 0.774 0.601 0.477 0.325 0.577 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 21100 exact match 0.730 0.619 0.477 0.361 0.580 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 22100 exact match 0.714 0.605 0.443 0.349 0.563 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 23100 exact match 0.746 0.637 0.489 0.349 0.592 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 24100 exact match 0.770 0.612 0.500 0.307 0.582 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 25100 exact match 0.754 0.659 0.489 0.343 0.603 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 26100 exact match 0.778 0.661 0.483 0.349 0.609 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 27100 exact match 0.710 0.668 0.494 0.349 0.598 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 28100 exact match 0.734 0.670 0.494 0.355 0.605 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 29100 exact match 0.746 0.655 0.517 0.319 0.600 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 30100 exact match 0.794 0.646 0.500 0.283 0.599 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 31100 exact match 0.798 0.639 0.489 0.343 0.604 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 32100 exact match 0.786 0.682 0.506 0.349 0.624 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 33100 exact match 0.762 0.668 0.546 0.367 0.622 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 34100 exact match 0.750 0.675 0.546 0.337 0.617 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 35100 exact match 0.782 0.632 0.529 0.343 0.604 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 36100 exact match 0.786 0.646 0.517 0.361 0.612 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 37100 exact match 0.774 0.675 0.517 0.331 0.617 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 38100 exact match 0.762 0.626 0.511 0.283 0.584 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 39100 exact match 0.810 0.648 0.557 0.331 0.621 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 40100 exact match 0.774 0.668 0.523 0.373 0.622 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 41100 exact match 0.774 0.661 0.534 0.373 0.621 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 42100 exact match 0.786 0.673 0.511 0.392 0.628 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 43100 exact match 0.778 0.648 0.529 0.355 0.612 | |
mBART50MtoM-large-en-pt-es-fr-train es-eval 44100 exact match 0.786 0.664 0.494 0.337 0.612 | |