mirror of
https://github.com/wassname/Castor.git
synced 2026-10-05 12:20:28 +08:00
Michael Tu
8563ad5976
* Nuke obsolete artifacts * Refactor Kim CNN * Make kim_cnn a module * Fix bugs * Update README * Add choices to dataset arg * update for sst2 update sst.py update sst.py * Add Kim CNN dataset choices to args.py * Update tuned SST-1 accuracy
41 lines
1.4 KiB
Python
41 lines
1.4 KiB
Python
from .trainers.sick_trainer import SICKTrainer
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from .trainers.msrvid_trainer import MSRVIDTrainer
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from .trainers.trecqa_trainer import TRECQATrainer
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from .trainers.wikiqa_trainer import WikiQATrainer
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from .trainers.sst_trainer import SSTTrainer
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from nce.nce_pairwise_mp.trainers.trecqa_trainer import TRECQATrainerNCE
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from nce.nce_pairwise_mp.trainers.wikiqa_trainer import WikiQATrainerNCE
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class TrainerFactory(object):
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"""
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Get the corresponding Trainer class for a particular dataset.
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"""
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trainer_map = {
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'sick': SICKTrainer,
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'msrvid': MSRVIDTrainer,
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'SST-1': SSTTrainer,
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'SST-2': SSTTrainer,
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'trecqa': TRECQATrainer,
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'wikiqa': WikiQATrainer
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}
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trainer_map_nce = {
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'trecqa': TRECQATrainerNCE,
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'wikiqa': WikiQATrainerNCE
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}
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@staticmethod
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def get_trainer(dataset_name, model, embedding, train_loader, trainer_config, train_evaluator, test_evaluator, dev_evaluator=None, nce=False):
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if nce:
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trainer_map = TrainerFactory.trainer_map_nce
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else:
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trainer_map = TrainerFactory.trainer_map
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if dataset_name not in trainer_map:
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raise ValueError('{} is not implemented.'.format(dataset_name))
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return trainer_map[dataset_name](
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model, embedding, train_loader, trainer_config, train_evaluator, test_evaluator, dev_evaluator
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)
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