baselines

official_experiments

@@ -178,6 +178,7 @@ for SEED in `seq 0 4`; do python bin/launch.py -c  -k -z n1-highmem-64 tower_no_
 for SEED in `seq 0 4`; do python bin/launch.py -c  -k -z n1-highmem-64 tower_no_recognition_batch_50_3600 "python bin/tower.py -g  -t 3600  --pseudoCounts 30 --tasks new --aic 1.0 --structurePenalty 1.5 --topK 2 --arity 3 --maximumFrontier 5 -i 20 --storeTaskMetrics --split 0.5 --testingTimeout 600  --taskReranker randomShuffle --taskBatchSize 50 --primitives new  --seed $SEED" ; done
 for SEED in `seq 0 4`; do python bin/launch.py -c  -k -z n1-highmem-64 baseline_ec_tower "python bin/tower.py -g  -t 3600  --pseudoCounts 30 --tasks new --aic 1.0 --structurePenalty 1.5 --topK 2 --arity 0 --maximumFrontier 5 -i 20 --storeTaskMetrics --split 0.5 --testingTimeout 600  --taskReranker randomShuffle --taskBatchSize 50 --primitives new  --seed $SEED" ; done
 for SEED in `seq 0 4`; do python bin/launch.py -c  -k -z n1-highmem-64 tower_memorize "python bin/tower.py --compressor memorize -t 3600  --pseudoCounts 30 --tasks new --aic 1.0 --structurePenalty 1.5 --topK 2 --arity 3 --maximumFrontier 5 -i 20 --storeTaskMetrics --split 0.5 --testingTimeout 600 --biasOptimal --contextual --taskReranker randomShuffle --taskBatchSize 50 --primitives new --recognitionTimeout 3600 -RS 5000 --seed $SEED" ; done
+for SEED in `seq 0 4`; do python bin/launch.py -c  -k -z n1-highmem-64 tower_memorize_no_recognition "python bin/tower.py --compressor memorize -g -t 3600  --pseudoCounts 30 --tasks new --aic 1.0 --structurePenalty 1.5 --topK 2 --arity 3 --maximumFrontier 5 -i 20 --storeTaskMetrics --split 0.5 --testingTimeout 600 --taskReranker randomShuffle --taskBatchSize 50 --primitives new --seed $SEED" ; done
 
 The hyper parameters here are not consistent. A key thing we need to
 do is make sure that we are always using the same hyper parameters, or