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#!/usr/bin bash |
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for dataset in 'banking' 'oos' 'stackoverflow' |
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do |
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for known_cls_ratio in 0.25 0.5 0.75 |
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do |
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for labeled_ratio in 1.0 |
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do |
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for seed in 0 1 2 3 4 5 6 7 8 9 |
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do |
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python run.py \ |
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--dataset $dataset \ |
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--method 'ADB' \ |
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--known_cls_ratio $known_cls_ratio \ |
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--labeled_ratio $labeled_ratio \ |
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--seed $seed \ |
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--backbone 'bert' \ |
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--config_file_name 'ADB' \ |
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--loss_fct 'CrossEntropyLoss' \ |
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--gpu_id '0' \ |
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--train \ |
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--pretrain \ |
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--results_file_name 'results_ADB.csv' \ |
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--save_results \ |
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--save_model |
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done |
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done |
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done |
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done |
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