Update spaCy pipeline

.gitattributes

@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer/pkuseg_processors filter=lfs diff=lfs merge=lfs -text
+transformer/model filter=lfs diff=lfs merge=lfs -text
+zh_data_dev_spacy_trf_1-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,55 @@
+---
+tags:
+- spacy
+- token-classification
+language:
+- zh
+license: mit
+model-index:
+- name: zh_data_dev_spacy_trf_1
+  results:
+  - task:
+      name: NER
+      type: token-classification
+    metrics:
+    - name: NER Precision
+      type: precision
+      value: 0.7608897127
+    - name: NER Recall
+      type: recall
+      value: 0.7217582418
+    - name: NER F Score
+      type: f_score
+      value: 0.7408075795
+  - task:
+      name: TAG
+      type: token-classification
+    metrics:
+    - name: TAG (XPOS) Accuracy
+      type: accuracy
+      value: 0.9175332527
+  - task:
+      name: UNLABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Unlabeled Attachment Score (UAS)
+      type: f_score
+      value: 0.7572203056
+  - task:
+      name: LABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Labeled Attachment Score (LAS)
+      type: f_score
+      value: 0.7145288854
+  - task:
+      name: SENTS
+      type: token-classification
+    metrics:
+    - name: Sentences F-Score
+      type: f_score
+      value: 0.6920716113
+---
+# data_dev_spacy_zh_trf_1
+
+This is the `data_dev_spacy_zh_trf_1` model.

config.cfg

@@ -0,0 +1,257 @@
+[paths]
+train = null
+dev = null
+vectors = null
+init_tok2vec = null
+
+[system]
+gpu_allocator = "pytorch"
+seed = 1
+
+[nlp]
+lang = "zh"
+pipeline = ["transformer","tagger","parser","attribute_ruler","ner"]
+disabled = []
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+batch_size = 64
+vectors = {"@vectors":"spacy.Vectors.v1"}
+
+[nlp.tokenizer]
+@tokenizers = "spacy.zh.ChineseTokenizer"
+segmenter = "pkuseg"
+
+[components]
+
+[components.attribute_ruler]
+factory = "attribute_ruler"
+scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
+validate = false
+
+[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 = false
+nO = null
+
+[components.ner.model.tok2vec]
+@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
+width = ${components.transformer.model.hidden_width}
+upstream = "transformer"
+pooling = {"@layers":"reduce_mean.v1"}
+grad_factor = 1.0
+
+[components.parser]
+factory = "parser"
+learn_tokens = false
+min_action_freq = 30
+moves = null
+scorer = {"@scorers":"spacy.parser_scorer.v1"}
+update_with_oracle_cut_size = 100
+
+[components.parser.model]
+@architectures = "spacy.TransitionBasedParser.v2"
+state_type = "parser"
+extra_state_tokens = false
+hidden_width = 64
+maxout_pieces = 2
+use_upper = false
+nO = null
+
+[components.parser.model.tok2vec]
+@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
+width = ${components.transformer.model.hidden_width}
+upstream = "transformer"
+pooling = {"@layers":"reduce_mean.v1"}
+grad_factor = 1.0
+
+[components.tagger]
+factory = "tagger"
+label_smoothing = 0.0
+neg_prefix = "!"
+overwrite = false
+scorer = {"@scorers":"spacy.tagger_scorer.v1"}
+
+[components.tagger.model]
+@architectures = "spacy.Tagger.v2"
+nO = null
+normalize = false
+
+[components.tagger.model.tok2vec]
+@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
+width = ${components.transformer.model.hidden_width}
+upstream = "transformer"
+pooling = {"@layers":"reduce_mean.v1"}
+grad_factor = 1.0
+
+[components.transformer]
+factory = "curated_transformer"
+all_layer_outputs = false
+frozen = false
+
+[components.transformer.model]
+@architectures = "spacy-curated-transformers.BertTransformer.v1"
+vocab_size = 21128
+hidden_width = 768
+piece_encoder = {"@architectures":"spacy-curated-transformers.BertWordpieceEncoder.v1"}
+attention_probs_dropout_prob = 0.1
+hidden_act = "gelu"
+hidden_dropout_prob = 0.1
+intermediate_width = 3072
+layer_norm_eps = 0.0
+max_position_embeddings = 512
+model_max_length = 512
+num_attention_heads = 12
+num_hidden_layers = 12
+padding_idx = 0
+type_vocab_size = 2
+torchscript = false
+mixed_precision = false
+wrapped_listener = null
+
+[components.transformer.model.grad_scaler_config]
+
+[components.transformer.model.with_spans]
+@architectures = "spacy-curated-transformers.WithStridedSpans.v1"
+stride = 152
+window = 208
+batch_size = 384
+
+[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]
+train_corpus = "corpora.train"
+dev_corpus = "corpora.dev"
+seed = ${system:seed}
+gpu_allocator = ${system:gpu_allocator}
+dropout = 0.1
+accumulate_gradient = 3
+patience = 5000
+max_epochs = 0
+max_steps = 20000
+eval_frequency = 1000
+frozen_components = []
+before_to_disk = null
+annotating_components = []
+before_update = null
+
+[training.batcher]
+@batchers = "spacy.batch_by_words.v1"
+discard_oversize = false
+size = 2000
+tolerance = 0.2
+get_length = null
+
+[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 = true
+eps = 0.00000001
+
+[training.optimizer.learn_rate]
+@schedules = "warmup_linear.v1"
+warmup_steps = 250
+total_steps = 20000
+initial_rate = 0.00005
+
+[training.score_weights]
+tag_acc = 0.32
+dep_uas = 0.0
+dep_las = 0.32
+dep_las_per_type = null
+sents_p = null
+sents_r = null
+sents_f = 0.04
+ents_f = 0.32
+ents_p = 0.0
+ents_r = 0.0
+ents_per_type = null
+speed = 0.0
+
+[pretraining]
+
+[initialize]
+vocab_data = null
+vectors = ${paths.vectors}
+init_tok2vec = ${paths.init_tok2vec}
+before_init = null
+after_init = null
+
+[initialize.components]
+
+[initialize.components.ner]
+
+[initialize.components.ner.labels]
+@readers = "spacy.read_labels.v1"
+path = "corpus/labels/ner.json"
+require = false
+
+[initialize.components.parser]
+
+[initialize.components.parser.labels]
+@readers = "spacy.read_labels.v1"
+path = "corpus/labels/parser.json"
+require = false
+
+[initialize.components.tagger]
+
+[initialize.components.tagger.labels]
+@readers = "spacy.read_labels.v1"
+path = "corpus/labels/tagger.json"
+require = false
+
+[initialize.components.transformer]
+
+[initialize.components.transformer.encoder_loader]
+@model_loaders = "spacy-curated-transformers.HFTransformerEncoderLoader.v1"
+name = "bert-base-chinese"
+revision = "main"
+
+[initialize.components.transformer.piecer_loader]
+@model_loaders = "spacy-curated-transformers.HFPieceEncoderLoader.v1"
+name = "bert-base-chinese"
+revision = "main"
+
+[initialize.lookups]
+@misc = "spacy.LookupsDataLoader.v1"
+lang = ${nlp.lang}
+tables = []
+
+[initialize.tokenizer]
+pkuseg_model = "assets/pkuseg_model"
+pkuseg_user_dict = "default"

meta.json

@@ -0,0 +1,507 @@
+{
+  "lang":"zh",
+  "name":"data_dev_spacy_trf_1",
+  "version":"3.7.2",
+  "description":"Chinese transformer pipeline (Transformer(name='bert-base-chinese', piece_encoder='bert-wordpiece', stride=152, type='bert', width=768, window=208, vocab_size=21128)). Components: transformer, tagger, parser, ner, attribute_ruler.",
+  "author":"Explosion",
+  "email":"contact@explosion.ai",
+  "url":"https://explosion.ai",
+  "license":"MIT",
+  "spacy_version":">=3.7.0,<3.8.0",
+  "spacy_git_version":"4ec41e98f",
+  "vectors":{
+    "width":0,
+    "vectors":0,
+    "keys":0,
+    "name":null
+  },
+  "labels":{
+    "transformer":[
+
+    ],
+    "tagger":[
+      "AD",
+      "AS",
+      "BA",
+      "CC",
+      "CD",
+      "CS",
+      "DEC",
+      "DEG",
+      "DER",
+      "DEV",
+      "DT",
+      "ETC",
+      "FW",
+      "IJ",
+      "INF",
+      "JJ",
+      "LB",
+      "LC",
+      "M",
+      "MSP",
+      "NN",
+      "NR",
+      "NT",
+      "OD",
+      "ON",
+      "P",
+      "PN",
+      "PU",
+      "SB",
+      "SP",
+      "URL",
+      "VA",
+      "VC",
+      "VE",
+      "VV",
+      "X"
+    ],
+    "parser":[
+      "ROOT",
+      "acl",
+      "advcl:loc",
+      "advmod",
+      "advmod:dvp",
+      "advmod:loc",
+      "advmod:rcomp",
+      "amod",
+      "amod:ordmod",
+      "appos",
+      "aux:asp",
+      "aux:ba",
+      "aux:modal",
+      "aux:prtmod",
+      "auxpass",
+      "case",
+      "cc",
+      "ccomp",
+      "compound:nn",
+      "compound:vc",
+      "conj",
+      "cop",
+      "dep",
+      "det",
+      "discourse",
+      "dobj",
+      "etc",
+      "mark",
+      "mark:clf",
+      "name",
+      "neg",
+      "nmod",
+      "nmod:assmod",
+      "nmod:poss",
+      "nmod:prep",
+      "nmod:range",
+      "nmod:tmod",
+      "nmod:topic",
+      "nsubj",
+      "nsubj:xsubj",
+      "nsubjpass",
+      "nummod",
+      "parataxis:prnmod",
+      "punct",
+      "xcomp"
+    ],
+    "attribute_ruler":[
+
+    ],
+    "ner":[
+      "CARDINAL",
+      "DATE",
+      "EVENT",
+      "FAC",
+      "GPE",
+      "LANGUAGE",
+      "LAW",
+      "LOC",
+      "MONEY",
+      "NORP",
+      "ORDINAL",
+      "ORG",
+      "PERCENT",
+      "PERSON",
+      "PRODUCT",
+      "QUANTITY",
+      "TIME",
+      "WORK_OF_ART"
+    ]
+  },
+  "pipeline":[
+    "transformer",
+    "tagger",
+    "parser",
+    "attribute_ruler",
+    "ner"
+  ],
+  "components":[
+    "transformer",
+    "tagger",
+    "parser",
+    "attribute_ruler",
+    "ner"
+  ],
+  "disabled":[
+
+  ],
+  "performance":{
+    "token_acc":0.9585384056,
+    "token_p":0.9458325855,
+    "token_r":0.9136060443,
+    "token_f":0.9294400505,
+    "tag_acc":0.9175332527,
+    "sents_p":0.7092434038,
+    "sents_r":0.6757116697,
+    "sents_f":0.6920716113,
+    "dep_uas":0.7572203056,
+    "dep_las":0.7145288854,
+    "dep_las_per_type":{
+      "dep":{
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+        "r":0.4251793473,
+        "f":0.4812167648
+      },
+      "case":{
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+        "f":0.8642708268
+      },
+      "nmod:tmod":{
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+        "r":0.8013605442,
+        "f":0.7921990585
+      },
+      "nummod":{
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+      "mark:clf":{
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+        "f":0.711613946
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+      "auxpass":{
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+        "r":0.9243243243,
+        "f":0.9168900804
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+      "nsubj":{
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+        "r":0.7882324039,
+        "f":0.8244892715
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+      "acl":{
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+        "r":0.6966167499,
+        "f":0.7379553467
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+      "advmod":{
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+        "r":0.7583314441,
+        "f":0.8097312999
+      },
+      "mark":{
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+        "r":0.8177037686,
+        "f":0.8262120877
+      },
+      "xcomp":{
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+        "r":0.6970684039,
+        "f":0.7456445993
+      },
+      "nmod:assmod":{
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+        "r":0.7572362278,
+        "f":0.8005923001
+      },
+      "det":{
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+        "r":0.633274751,
+        "f":0.7361252979
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+      "amod":{
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+        "r":0.6948153967,
+        "f":0.7529261545
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+      "nmod:prep":{
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+        "f":0.7670573126
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+      "root":{
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+        "r":0.6886965207,
+        "f":0.723567993
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+      "aux:prtmod":{
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+        "r":0.8357142857,
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+      "compound:nn":{
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+      "dobj":{
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+        "f":0.8507138423
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+      "ccomp":{
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+        "r":0.7122861586,
+        "f":0.7366304785
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+      "advmod:rcomp":{
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+        "r":0.7534626039,
+        "f":0.7930029155
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+      "nmod:topic":{
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+        "f":0.4171122995
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+      "cop":{
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+        "r":0.6254826255,
+        "f":0.7152317881
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+      "discourse":{
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+        "r":0.547029703,
+        "f":0.5647359455
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+      "neg":{
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+        "r":0.6706302021,
+        "f":0.7585743107
+      },
+      "aux:modal":{
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+        "r":0.8500517063,
+        "f":0.870301747
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+      "nmod":{
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+        "f":0.7463106114
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+      "aux:ba":{
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+        "f":0.8882833787
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+      "advmod:loc":{
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+        "f":0.6521008403
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+      "aux:asp":{
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+        "r":0.8732057416,
+        "f":0.894242548
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+      "conj":{
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+      "nsubjpass":{
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+      "compound:vc":{
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+        "f":0.5023696682
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+      "advcl:loc":{
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+        "r":0.6071428571,
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+      "cc":{
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+        "r":0.7267080745,
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+      "nmod:range":{
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+        "r":0.7147651007,
+        "f":0.7593582888
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+      "parataxis:prnmod":{
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+        "r":0.1578947368,
+        "f":0.2164948454
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+      "amod:ordmod":{
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+        "r":0.625,
+        "f":0.6837606838
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+      "erased":{
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+        "r":0.0,
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+      "etc":{
+        "p":0.9277108434,
+        "r":0.9166666667,
+        "f":0.9221556886
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+    },
+    "ents_p":0.7608897127,
+    "ents_r":0.7217582418,
+    "ents_f":0.7408075795,
+    "ents_per_type":{
+      "DATE":{
+        "p":0.7811607992,
+        "r":0.8136769078,
+        "f":0.7970873786
+      },
+      "GPE":{
+        "p":0.8325837081,
+        "r":0.8142717498,
+        "f":0.8233259204
+      },
+      "ORDINAL":{
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+        "r":0.7684210526,
+        "f":0.8066298343
+      },
+      "FAC":{
+        "p":0.3906976744,
+        "r":0.4516129032,
+        "f":0.4189526185
+      },
+      "LOC":{
+        "p":0.5012406948,
+        "r":0.5430107527,
+        "f":0.5212903226
+      },
+      "QUANTITY":{
+        "p":0.696,
+        "r":0.6444444444,
+        "f":0.6692307692
+      },
+      "ORG":{
+        "p":0.7461476075,
+        "r":0.700152207,
+        "f":0.7224185316
+      },
+      "PERSON":{
+        "p":0.8739386022,
+        "r":0.8621134021,
+        "f":0.8679857282
+      },
+      "CARDINAL":{
+        "p":0.6729088639,
+        "r":0.5433467742,
+        "f":0.6012269939
+      },
+      "NORP":{
+        "p":0.6961038961,
+        "r":0.5630252101,
+        "f":0.6225319396
+      },
+      "WORK_OF_ART":{
+        "p":0.5625,
+        "r":0.3,
+        "f":0.3913043478
+      },
+      "TIME":{
+        "p":0.7875647668,
+        "r":0.7378640777,
+        "f":0.7619047619
+      },
+      "MONEY":{
+        "p":0.9256198347,
+        "r":0.8296296296,
+        "f":0.875
+      },
+      "EVENT":{
+        "p":0.5430463576,
+        "r":0.6029411765,
+        "f":0.5714285714
+      },
+      "PERCENT":{
+        "p":0.869047619,
+        "r":0.8795180723,
+        "f":0.874251497
+      },
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+      "author":"Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston"
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+      "author":"Stanford NLP Group",
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+      "author":"Hugging Face",
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