def run_adverserial():
voca = load_voca()
manager = Manager(max_sequence=100, word_indice=voca,
batch_size=args.batch_size, num_classes=3,
vocab_size=1000, embedding_size=300, lstm_dim=1024)
# Dev acc=0.6576999819278717 loss=0.8433943867683411
# manager.load("hdrop2/model-41418")
manager.load("hdrop/model-42952")
manager.run_adverserial(voca)
def view_weights():
voca = load_voca()
manager = Manager(max_sequence=100, word_indice=voca,
batch_size=args.batch_size, num_classes=3,
vocab_size=1000, embedding_size=300, lstm_dim=1024)
# Dev acc=0.6576999819278717 loss=0.8433943867683411
manager.load("wattention/model-12272")
validate = models.common.load_pickle("dev_corpus")
manager.view_weights(validate)
def lrp_run():
voca = load_voca()
manager = Manager(max_sequence=100, word_indice=voca,
batch_size=args.batch_size, num_classes=3,
vocab_size=1000, embedding_size=300, lstm_dim=1024)
# Dev acc=0.6576999819278717 loss=0.8433943867683411
manager.load("hdrop2/model-41418")
validate = models.common.load_pickle("dev_corpus")
# manager.view_lrp(validate, reverse_index(voca))
# manager.lrp_3way(validate, reverse_index(voca))
manager.lrp_entangle(validate, models.common.reverse_index(voca))
def train_keep_cafe():
voca = load_voca()
manager = Manager(max_sequence=100, word_indice=voca,
batch_size=args.batch_size, num_classes=3,
vocab_size=1000, embedding_size=300, lstm_dim=1024)
# Dev acc=0.6576999819278717 loss=0.8433943867683411
data = models.common.load_pickle("train_corpus.pickle")
validate = models.common.load_pickle("dev_corpus")
manager.load("model-15340")
manager.train(20, data, validate, True)
