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zhuyiyi
2026-06-25 17:41:06 +08:00
commit b2f23a933b
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app/resources/models/定制印刷品-订单描述/best_model/config.cfg
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[paths]
train = null
dev = null
vectors = null
init_tok2vec = null
[system]
seed = 0
gpu_allocator = null
[nlp]
lang = "zh"
pipeline = ["ner"]
disabled = []
before_creation = null
after_creation = null
after_pipeline_creation = null
batch_size = 1000
vectors = {"@vectors":"spacy.Vectors.v1"}
[nlp.tokenizer]
@tokenizers = "spacy.zh.ChineseTokenizer"
segmenter = "char"
[components]
[components.ner]
factory = "ner"
incorrect_spans_key = null
moves = null
scorer = {"@scorers":"spacy.ner_scorer.v1"}
update_with_oracle_cut_size = 100
[components.ner.model]
@architectures = "spacy.TransitionBasedParser.v2"
state_type = "ner"
extra_state_tokens = false
hidden_width = 64
maxout_pieces = 2
use_upper = true
nO = null
[components.ner.model.tok2vec]
@architectures = "spacy.HashEmbedCNN.v2"
pretrained_vectors = null
width = 96
depth = 4
embed_size = 2000
window_size = 1
maxout_pieces = 3
subword_features = true
[corpora]
[corpora.dev]
@readers = "spacy.Corpus.v1"
path = ${paths.dev}
gold_preproc = false
max_length = 0
limit = 0
augmenter = null
[corpora.train]
@readers = "spacy.Corpus.v1"
path = ${paths.train}
gold_preproc = false
max_length = 0
limit = 0
augmenter = null
[training]
seed = ${system.seed}
gpu_allocator = ${system.gpu_allocator}
dropout = 0.1
accumulate_gradient = 1
patience = 1600
max_epochs = 0
max_steps = 20000
eval_frequency = 200
frozen_components = []
annotating_components = []
dev_corpus = "corpora.dev"
train_corpus = "corpora.train"
before_to_disk = null
before_update = null
[training.batcher]
@batchers = "spacy.batch_by_words.v1"
discard_oversize = false
tolerance = 0.2
get_length = null
[training.batcher.size]
@schedules = "compounding.v1"
start = 100
stop = 1000
compound = 1.001
t = 0.0
[training.logger]
@loggers = "spacy.ConsoleLogger.v1"
progress_bar = false
[training.optimizer]
@optimizers = "Adam.v1"
beta1 = 0.9
beta2 = 0.999
L2_is_weight_decay = true
L2 = 0.01
grad_clip = 1.0
use_averages = false
eps = 0.00000001
learn_rate = 0.001
[training.score_weights]
ents_f = 1.0
ents_p = 0.0
ents_r = 0.0
ents_per_type = null
[pretraining]
[initialize]
vectors = ${paths.vectors}
init_tok2vec = ${paths.init_tok2vec}
vocab_data = null
lookups = null
before_init = null
after_init = null
[initialize.components]
[initialize.tokenizer]
pkuseg_model = null
pkuseg_user_dict = "default"
app/resources/models/定制印刷品-订单描述/best_model/meta.json
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{
"lang":"zh",
"name":"pipeline",
"version":"0.0.0",
"spacy_version":">=3.8.7,<3.9.0",
"description":"",
"author":"",
"email":"",
"url":"",
"license":"",
"spacy_git_version":"4b65aa7",
"vectors":{
"width":0,
"vectors":0,
"keys":0,
"name":null,
"mode":"default"
},
"labels":{
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"\u7528\u6237\u4fe1\u606f"
]
},
"pipeline":[
"ner"
],
"components":[
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],
"disabled":[
]
}
app/resources/models/定制印刷品-订单描述/best_model/ner/cfg
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{
"moves":null,
"update_with_oracle_cut_size":100,
"multitasks":[
],
"min_action_freq":1,
"learn_tokens":false,
"beam_width":1,
"beam_density":0.0,
"beam_update_prob":0.0,
"incorrect_spans_key":null
}
app/resources/models/定制印刷品-订单描述/best_model/ner/model
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app/resources/models/定制印刷品-订单描述/best_model/ner/moves
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app/resources/models/定制印刷品-订单描述/best_model/tokenizer/cfg
+3
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{
"segmenter":"char"
}
app/resources/models/定制印刷品-订单描述/best_model/vocab/key2row
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app/resources/models/定制印刷品-订单描述/best_model/vocab/lookups.bin
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app/resources/models/定制印刷品-订单描述/best_model/vocab/strings.json
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app/resources/models/定制印刷品-订单描述/best_model/vocab/vectors
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app/resources/models/定制印刷品-订单描述/best_model/vocab/vectors.cfg
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{
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}