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softneig_18neg_3pos.txt
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evaluation on test set of cub with model: checkpoints/softneig_18neg_3pos/model.pkl
[ 0.48328832 0.61968265 0.74240378 0.83794733]
evaluation on test set of cub with model: checkpoints/softneig_18neg_3pos/50_model.pkl
[ 0.4826131 0.62356516 0.75084402 0.85567184]
evaluation on test set of cub with model: checkpoints/softneig_18neg_3pos/100_model.pkl
[ 0.50405132 0.63082377 0.75911546 0.85668467]
evaluation on test set of cub with model: checkpoints/softneig_18neg_3pos/200_model.pkl
[ 0.50641458 0.63858879 0.76367319 0.85634706]
evaluation on test set of cub with model: checkpoints/softneig_18neg_3pos/300_model.pkl
[ 0.51519244 0.64550979 0.76890614 0.86529372]
evaluation on test set of cub with model: checkpoints/softneig_18neg_3pos/350_model.pkl
[ 0.51856853 0.6456786 0.76671168 0.86276165]
evaluation on train set of cub with model: checkpoints/softneig_18neg_3pos/350_model.pkl
[ 0.57213506 0.68877899 0.79382674 0.87039563]
evaluation on test set of cub with model: checkpoints/softneig_18neg_3pos/400_model.pkl
[ 0.51890614 0.65209318 0.76991897 0.86630655]
evaluation on test set of cub with model: checkpoints/softneig_18neg_3pos/450_model.pkl
[ 0.50658339 0.64483457 0.76654288 0.8612424 ]
evaluation on test set of cub with model: checkpoints/softneig_18neg_3pos/500_model.pkl
[ 0.51688049 0.65091155 0.76856853 0.86259284]
evaluation on test set of cub with model: checkpoints/softneig_18neg_3pos/550_model.pkl
[ 0.52802161 0.64989872 0.76941256 0.86833221]
evaluation on test set of cub with model: checkpoints/softneig_18neg_3pos/600_model.pkl
[ 0.51755571 0.65243079 0.76856853 0.86580014]