mirror of https://github.com/explosion/spaCy.git
66 lines
1.4 KiB
INI
66 lines
1.4 KiB
INI
[training]
|
|
use_gpu = -1
|
|
limit = 0
|
|
dropout = 0.2
|
|
patience = 10000
|
|
eval_frequency = 200
|
|
scores = ["ents_f"]
|
|
score_weights = {"ents_f": 1}
|
|
orth_variant_level = 0.0
|
|
gold_preproc = true
|
|
max_length = 0
|
|
batch_size = 25
|
|
|
|
[optimizer]
|
|
@optimizers = "Adam.v1"
|
|
learn_rate = 0.001
|
|
beta1 = 0.9
|
|
beta2 = 0.999
|
|
|
|
[nlp]
|
|
lang = "en"
|
|
vectors = null
|
|
|
|
[nlp.pipeline.tok2vec]
|
|
factory = "tok2vec"
|
|
|
|
[nlp.pipeline.tok2vec.model]
|
|
@architectures = "spacy.Tok2Vec.v1"
|
|
|
|
[nlp.pipeline.tok2vec.model.extract]
|
|
@architectures = "spacy.Doc2Feats.v1"
|
|
columns = ["ID", "NORM", "PREFIX", "SUFFIX", "SHAPE", "ORTH"]
|
|
|
|
[nlp.pipeline.tok2vec.model.embed]
|
|
@architectures = "spacy.MultiHashEmbed.v1"
|
|
columns = ${nlp.pipeline.tok2vec.model.extract:columns}
|
|
width = 96
|
|
rows = 2000
|
|
use_subwords = true
|
|
pretrained_vectors = null
|
|
|
|
[nlp.pipeline.tok2vec.model.embed.mix]
|
|
@architectures = "spacy.LayerNormalizedMaxout.v1"
|
|
width = ${nlp.pipeline.tok2vec.model.embed:width}
|
|
maxout_pieces = 3
|
|
|
|
[nlp.pipeline.tok2vec.model.encode]
|
|
@architectures = "spacy.MaxoutWindowEncoder.v1"
|
|
width = ${nlp.pipeline.tok2vec.model.embed:width}
|
|
window_size = 1
|
|
maxout_pieces = 3
|
|
depth = 2
|
|
|
|
[nlp.pipeline.ner]
|
|
factory = "ner"
|
|
|
|
[nlp.pipeline.ner.model]
|
|
@architectures = "spacy.TransitionBasedParser.v1"
|
|
nr_feature_tokens = 6
|
|
hidden_width = 64
|
|
maxout_pieces = 2
|
|
|
|
[nlp.pipeline.ner.model.tok2vec]
|
|
@architectures = "spacy.Tok2VecTensors.v1"
|
|
width = ${nlp.pipeline.tok2vec.model.embed:width}
|