/
hyper_search_configs.py
125 lines (104 loc) · 3.15 KB
/
hyper_search_configs.py
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from copy import deepcopy
HYPER_CONFIG_PARTIAL_BIG = {
'auxlr': [0.1, 1.0],
'soptlr': [0.01, 0.1],
'classflr': [1e-4, 1e-3],
'wfrac': [0.06],
'nconf_samp': [3, 6],
'primbsz': [128],
'auxbsz': [256]
}
HYPER_CONFIG_PARTIAL_BIG_1 = deepcopy(HYPER_CONFIG_PARTIAL_BIG)
HYPER_CONFIG_PARTIAL_BIG_1['nconf_samp'] = [3]
HYPER_CONFIG_HYPERPARTISAN = deepcopy(HYPER_CONFIG_PARTIAL_BIG)
HYPER_CONFIG_HYPERPARTISAN['primbsz'] = [64]
HYPER_CONFIG_HYPERPARTISAN['auxbsz'] = [128]
HYPER_CONFIG_PARTIAL_BIG_1 = {
'auxlr': [1.0, 0.1],
'soptlr': [0.1],
'classflr': [1e-3, 1e-4],
'wfrac': [0.06],
'nconf_samp': [6],
'primbsz': [128],
'auxbsz': [512, 1024]
}
HYPER_CONFIG_HYPERPARTISAN_1 = deepcopy(HYPER_CONFIG_PARTIAL_BIG_1)
HYPER_CONFIG_HYPERPARTISAN_1['primbsz'] = [64]
HYPER_CONFIG_HYPERPARTISAN_1['auxbsz'] = [128]
HYPER_CONFIG_PARTIAL_MULTI = {
'auxlr': [0],
'soptlr': [0],
'classflr': [1e-4, 1e-3],
'wfrac': [0.06],
'nconf_samp': [3, 6],
'primbsz': [128],
'auxbsz': [256]
}
HYPER_CONFIG_PARTIAL_ONETASK = {
'auxlr': [0.1],
'soptlr': [0.01, 0.1, 1.0],
'wfrac': [0.06],
'primbsz': [128],
'auxbsz': [256]
}
# deepcopy(HYPER_CONFIG_PARTIAL_BIG)
HYPER_CONFIG_PARTIAL_ONETASK['nconf_samp'] = [1]
HYPER_CONFIG_PARTIAL_ONETASK['classflr'] = [1e-3, 1e-4, 5e-5]
HYPER_CONFIG_HYPERPARTISAN_ONETASK = deepcopy(HYPER_CONFIG_PARTIAL_ONETASK)
HYPER_CONFIG_HYPERPARTISAN_ONETASK['primbsz'] = [64]
HYPER_CONFIG_HYPERPARTISAN_ONETASK['auxbsz'] = [128]
HYPER_CONFIG_FULL = {
'auxlr': [0.1, 5e-1, 1.0],
'soptlr': [1e-1],
'classflr': [1e-3, 1e-4, 3e-3, 5e-3, 1e-2],
'nconf_samp': [3, 6],
'primbsz': [128],
'auxbsz': [256]
}
HYPER_CONFIG_TEST = {
'auxlr': [0.1],
'soptlr': [1e-1],
'classflr': [3e-3],
'wfrac': [0.06],
'nconf_samp': [1],
'primbsz': [128],
'auxbsz': [256]
}
CONFIG_NAMES = [
"full", "partial",
"partial_big", "partial_onetask",
"partial_hyperpartisan", "partial_big_1",
"partial_big_multi", 'partial_hyperpartisan_onetask',
'partial_hyperpartisan_1', 'all_data',
'ct_best_ours', 'ct_best_gpt', 'ct_best_joint',
'ct_best_xlnet', 'ct_best_tapt'
]
def get_hyper_config(config_name):
if config_name == 'full':
return HYPER_CONFIG_FULL
elif config_name == 'partial':
return HYPER_CONFIG_PARTIAL
elif config_name == 'partial_big':
return HYPER_CONFIG_PARTIAL_BIG
elif config_name == 'partial_big_1':
return HYPER_CONFIG_PARTIAL_BIG_1
elif config_name == 'partial_hyperpartisan_1':
return HYPER_CONFIG_HYPERPARTISAN_1
elif config_name == 'partial_onetask':
return HYPER_CONFIG_PARTIAL_ONETASK
elif config_name == 'partial_hyperpartisan':
return HYPER_CONFIG_HYPERPARTISAN
elif config_name == 'partial_hyperpartisan_onetask':
return HYPER_CONFIG_HYPERPARTISAN_ONETASK
elif config_name == 'partial_big_multi':
return HYPER_CONFIG_PARTIAL_MULTI
# Modified appropriately
CITATION_INTENT = {
'primtaskid': 'citation_intent',
'trainfile': 'datasets/citation_intent/train.jsonl',
'devfile': 'datasets/citation_intent/dev.jsonl',
'testfile': 'datasets/citation_intent/test.jsonl',
'taskdata': 'datasets/citation_intent/train.txt',
'domaindata': 'datasets/citation_intent/domain.10xTAPT.txt',
'metric': 'f1',
}