최종 성능 정리

[februa22]

경진대회 테스트셋 파싱 결과 파일: all.pos.utf8.json.test.txt

[februa22]

Test accuracy:

No.	Model	UAS	LAS
1	Biaffine (Baseline)	91.77	89.37
2	Biaffine + arc attention with label head (sum)	91.82	89.34
3	Biaffine + arc attention with label head (weight sum)	91.88	89.52
4	Biaffine + arc attention with label head and dep (weight sum)	91.93	89.53

[februa22]

iss73-5

{
    "num_lstm_units": 400,
    "num_lstm_layers": 4,
    "arc_mlp_units": 600,
    "label_mlp_units": 200,
    "word_embed_size": 200,
    "char_embed_size": 200,
    "pos_embed_size": 100,
    "optimizer": "adam",
    "learning_rate": 0.001,
    "decay_factor": 0.9,
    "num_train_epochs": 50,
    "train_filename": "data/sejong.char.train.csv",
    "dev_filename": "data/sejong.char.test.csv",
    "out_dir": "parser/model_iss73-5",
    "word_vocab_name": "word.pkl",
    "char_vocab_name": "char.pkl",
    "pos_vocab_name": "pos.pkl",
    "rel_vocab_name": "rel.pkl",
    "head_vocab_name": "head.pkl",
    "word_embed_file": "embeddings/words.pos.original.vec",
    "char_embed_file": "",
    "pos_embed_file": "",
    "word_embed_matrix_file": "embeddings/word_embed_matrix.txt",
    "char_embed_matrix_file": "embeddings/char_embed_matrix.txt",
    "pos_embed_matrix_file": "embeddings/pos_embed_matrix.txt",
    "embed_dropout": 0.33,
    "lstm_dropout": 0.33,
    "mlp_dropout": 0.33,
    "batch_size": 128,
    "device": "gpu",
    "debug": false,
    "inference_input_file": "",
    "inference_output_file": "parser/model_iss73-5/sejong.char.train.inference.tsv"
}