| 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' | |