import torch

batch_size = 32
bert_lr = 3e-06
cased = False
parser_lr = 1e-06
tagger_lr = 8e-05
device = 'cuda:0' if torch.cuda.is_available() else 'cpu'
early_stop = 5
epochs = 50
expand_iota = True
expand_rough = True
ignore_punct = True
last_layer_dropout = 0.3
max_subword_len = 448
max_word_len = 208
mode = 'joint'
model_name = 'pranaydeeps/Ancient-Greek-BERT'
models_path = 'models/'
name = 'AGBERT_proiel_joint'
num_warmup_steps = 1000
pad_value = -2
print_gold = True
scheduler = 'linear'
seed = 3
subword_prefix = '##'
test_path = 'data/ud_proiel/grc_proiel-ud-test.conllu'
train_path = 'data/ud_proiel/grc_proiel-ud-train.conllu'
val_path = 'data/ud_proiel/grc_proiel-ud-dev.conllu'
vocabs_path = 'vocabs/ud_proiel.json'