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hinge loss\npython cs6740/train_img.py --dataRoot data --save result --batchSz 512 --textEmbeddingSize 300\n\n2- cos loss\npython cs6740/train_img.py --dataRoot data --save result --batchSz 512 --textEmbeddingSize 300\n\n3 - cos loss - crash after first epoch\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 100\n\n4 - cos loss - val subset\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 100 --valSubset cs6740/data/coco_val_subset.txt\n\n5 - lstm added\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm\n\n6 - lstm one direction, 100 units in hidden layer\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 7\n\n7 - lstm one direction, dropout=.1, 4 stacks, no normalizing\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 7\n\n8 - bow\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel bow --nEpochs 7\n\n9 - lstm with max pooling\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 7\n\n10 - lstm last output, epochs 1-3 lr=1e-3, epoch 4 lr=1e-4\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 4\n\n11 - lstm max pooling, epochs 1-3 lr=1e-3, epoch 4 lr=1e-4\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 4\n\n12 - lstm packed data, epochs 1-3 lr=1e-1, epocsh 4,5 1e-2, epoch 6 1e-3\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 6\n\n13 - lstm packed data, epochs 1-3 lr=1e-1, epocsh 4,5 1e-2, epoch 6 1e-3, proportion_positive=.5,.25,.1\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 6\n\n14 - lstm packed data, epochs 1-3 lr=1e-1, epocsh 4,5 1e-2, epoch 6 1e-3, proportion_positive=.2,.1,.05\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 6\n\n15 - lstm packed data, epochs 1-3 lr=1e-1, epocsh 4,5 1e-2, epoch 6 1e-3, proportion_positive=.2,4/batch,2/batch\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 6\n\n16 - lstm packed data, epochs 1-3 lr=1e-1, epocsh 4,5 1e-2, epoch 6 1e-3, proportion_positive=.2,.1,.05, lstm stack of 3, 512 units\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 6\n\n17 - lstm packed data, epochs 1-3 lr=1e-1, epocsh 4,5 1e-2, epoch 6 1e-3, proportion_positive=.2,.1,.05, lstm stack of 3, 512 units - 2 final lstm layers\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 6\n\n18 - lstm packed data, epochs 1-4 lr=1e-1, epocsh 5-7 1e-2, epochs 8-9 1e-3, epoch 10 1e-4, proportion_positive=.2,.1,.05, lstm stack of 3, 512 units\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 10\n\n19 - lstm packed data, epochs 1-7 lr=1e-1, epocsh 8 1e-2, epochs 9 1e-3, epoch 10 1e-4, proportion_positive=.2,.1,.05, lstm stack of 3, 512 units\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 10\n\n20 - lstm packed data, epochs 1-7 lr=1e-1, epocsh 8 1e-2, epochs 9 1e-3, epoch 10 1e-4, proportion_positive=.2,.1,.05, lstm stack of 3, 712 units\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 10\n\n21 - lstm packed data, epochs 1-21 lr=1e-1, epocsh 22-24 1e-2, epochs 25-27 1e-3, epoch 28-29 1e-4, proportion_positive=.2,.1,.05, lstm stack of 3, 512 units\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 29\n\n22 - lstm packed data, epochs 1-11 lr=1e-1, epocsh 12-27 1e-2, epochs 28-37 1e-3, epoch 38-43 1e-4, proportion_positive=.2,.1,.05, lstm stack of 3, 512 units\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 43\n\n23 - lstm packed data, epochs 1-6 lr=1e-1, epocsh 7-11 1e-2, epochs 12-14 1e-3, epoch 15-16 1e-4, proportion_positive=.2,.1,.05, lstm stack of 3, 512 units, initial layer before lstm\npython cs6740/train_img.py --dataRoot data --save result --batchSz 256 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 16\n\n24 - lstm packed data, epochs 1-21 lr=1e-1, epocsh 22-24 1e-2, epochs 25-27 1e-3, epoch 28-29 1e-4, proportion_positive=.2,.1,.05, lstm stack of 3, 512 units\npython cs6740/train_img.py --dataRoot data --save result --batchSz 32 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 29\n\n25 - lstm packed data, epochs 1-11 lr=1e-1, epocsh 12-27 1e-2, epochs 28-37 1e-3, epoch 38-43 1e-4, proportion_positive=.2,.1@3, lstm stack of 3, 512 units, initial layer before lstm\npython cs6740/train_img.py --dataRoot data --save result --batchSz 64 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 43\n\n26 - lstm packed data, epochs 1-11 lr=1e-1, epocsh 12-27 1e-2, epochs 28-37 1e-3, epoch 38-43 1e-4, proportion_positive=.2,.1@3, lstm stack of 3, 712 units, initial layer before lstm\npython cs6740/train_img.py --dataRoot data --save result --batchSz 64 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 43\n\n27 - lstm packed data, epochs 1-11 lr=1e-1, epocsh 12-27 1e-2, epochs 28-37 1e-3, epoch 38-43 1e-4, proportion_positive=.2,.1@3, lstm stack of 3, 512 units\npython cs6740/train_img.py --dataRoot data --save result --batchSz 64 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel lstm --nEpochs 43\n\n28 - lstm packed data, epochs 1-8 lr=1e-1, epocsh 9-16 1e-2, epochs 17-20 1e-3, epoch 21-24 1e-4, proportion_positive=.2,.1@3, bow\npython cs6740/train_img.py --dataRoot data --save result --batchSz 64 --textEmbeddingSize 300 --valSubset cs6740/data/coco_val_subset.txt --textModel bow --nEpochs 24\n\n29 - genome dataset fine-tuned on 22\npython cs6740/train_img.py --dataRoot data --save result --batchSz 64 --textEmbeddingSize 300 --textModel lstm --nEpochs 10 --preTrainedModel logs/27/model_last_epoch.t7 --genomeLong\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmatham%2Fcs6740_2018","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmatham%2Fcs6740_2018","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmatham%2Fcs6740_2018/lists"}