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import os
print(os.listdir())
model_name = "EMBEDDIA/crosloengual-bert" #"FFZG-cleopatra/dummy-model" #"FFZG-cleopatra/Croatian-News-Classifier"
print("model-name:",model_name)
output_path = ""
drop_out = 0.3
max_length = 512
epochs = 5
label2id = {'neutral': 0, 'negative': 1, 'positive': 2}
id2label = {0: 'neutral', 1: 'negative', 2: 'positive'}
output_dir=""
batch_size=16 #32
learning_rate=2e-5
from pip import _internal
print(_internal.main(['list']))
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