Update spaCy pipeline

.gitattributes

@@ -33,3 +33,8 @@ 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
+entity_linker/kb/contents filter=lfs diff=lfs merge=lfs -text
+entity_linker/model filter=lfs diff=lfs merge=lfs -text
+ner/model filter=lfs diff=lfs merge=lfs -text
+sr_pipeline-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
+tok2vec/model filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,30 @@
+---
+tags:
+- spacy
+- token-classification
+language:
+- sr
+model-index:
+- name: sr_pipeline
+  results:
+  - task:
+      name: NER
+      type: token-classification
+    metrics:
+    - name: NER Precision
+      type: precision
+      value: 0.9334730579
+    - name: NER Recall
+      type: recall
+      value: 0.9340414017
+    - name: NER F Score
+      type: f_score
+      value: 0.9337571433
+  - task:
+      name: TAG
+      type: token-classification
+    metrics:
+    - name: TAG (XPOS) Accuracy
+      type: accuracy
+      value: 0.9648654551
+---

config.cfg

@@ -0,0 +1,208 @@
+[paths]
+train = "02_train"
+dev = "03_valid"
+vectors = null
+init_tok2vec = null
+
+[system]
+gpu_allocator = null
+seed = 0
+
+[nlp]
+lang = "sr"
+pipeline = ["tok2vec","tagger","ner","sentencizer","entity_linker"]
+batch_size = 1000
+disabled = []
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+
+[components]
+
+[components.entity_linker]
+factory = "entity_linker"
+candidates_batch_size = 1
+entity_vector_length = 64
+generate_empty_kb = {"@misc":"spacy.EmptyKB.v2"}
+get_candidates = {"@misc":"spacy.CandidateGenerator.v1"}
+get_candidates_batch = {"@misc":"spacy.CandidateBatchGenerator.v1"}
+incl_context = true
+incl_prior = false
+labels_discard = []
+n_sents = 0
+overwrite = true
+scorer = {"@scorers":"spacy.entity_linker_scorer.v1"}
+threshold = null
+use_gold_ents = true
+
+[components.entity_linker.model]
+@architectures = "spacy.EntityLinker.v2"
+nO = null
+
+[components.entity_linker.model.tok2vec]
+@architectures = "spacy.HashEmbedCNN.v2"
+pretrained_vectors = null
+width = 96
+depth = 2
+embed_size = 2000
+window_size = 1
+maxout_pieces = 3
+subword_features = true
+
+[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 = true
+hidden_width = 300
+maxout_pieces = 2
+use_upper = true
+nO = null
+
+[components.ner.model.tok2vec]
+@architectures = "spacy.HashEmbedCNN.v2"
+pretrained_vectors = null
+width = 300
+depth = 8
+embed_size = 10000
+window_size = 1
+maxout_pieces = 3
+subword_features = true
+
+[components.sentencizer]
+factory = "sentencizer"
+overwrite = false
+punct_chars = null
+scorer = {"@scorers":"spacy.senter_scorer.v1"}
+
+[components.tagger]
+factory = "tagger"
+label_smoothing = 0.0
+neg_prefix = "!"
+overwrite = false
+scorer = {"@scorers":"spacy.tagger_scorer.v1"}
+
+[components.tagger.model]
+@architectures = "spacy.Tagger.v1"
+nO = null
+
+[components.tagger.model.tok2vec]
+@architectures = "spacy.Tok2VecListener.v1"
+width = 300
+upstream = "*"
+
+[components.tok2vec]
+factory = "tok2vec"
+
+[components.tok2vec.model]
+@architectures = "spacy.Tok2Vec.v2"
+
+[components.tok2vec.model.embed]
+@architectures = "spacy.MultiHashEmbed.v2"
+width = 300
+attrs = ["ORTH","SHAPE"]
+rows = [5000,2500]
+include_static_vectors = true
+
+[components.tok2vec.model.encode]
+@architectures = "spacy.MaxoutWindowEncoder.v2"
+width = 300
+depth = 4
+window_size = 1
+maxout_pieces = 3
+
+[corpora]
+
+[corpora.dev]
+@readers = "spacy.Corpus.v1"
+path = ${paths.dev}
+max_length = 0
+gold_preproc = false
+limit = 0
+augmenter = null
+
+[corpora.train]
+@readers = "spacy.Corpus.v1"
+path = ${paths.train}
+max_length = 2000
+gold_preproc = false
+limit = 0
+augmenter = null
+
+[training]
+dev_corpus = "corpora.dev"
+train_corpus = "corpora.train"
+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 = []
+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]
+tag_acc = 0.17
+ents_f = 0.17
+ents_p = 0.0
+ents_r = 0.0
+ents_per_type = null
+sents_f = 0.33
+sents_p = 0.0
+sents_r = 0.0
+nel_micro_f = 0.33
+nel_micro_r = null
+nel_micro_p = null
+
+[pretraining]
+
+[initialize]
+vectors = null
+init_tok2vec = ${paths.init_tok2vec}
+vocab_data = null
+lookups = null
+before_init = null
+after_init = null
+
+[initialize.components]
+
+[initialize.tokenizer]

entity_linker/cfg

@@ -0,0 +1,3 @@
+{
+  "overwrite":true
+}

entity_linker/kb/contents

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entity_linker/model

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+size 3229990

meta.json

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+{
+  "lang":"sr",
+  "name":"pipeline",
+  "version":"0.0.0",
+  "description":"",
+  "author":"",
+  "email":"",
+  "url":"",
+  "license":"",
+  "spacy_version":">=3.5.2,<3.6.0",
+  "spacy_git_version":"aea4a96f9",
+  "vectors":{
+    "width":0,
+    "vectors":0,
+    "keys":0,
+    "name":null
+  },
+  "labels":{
+    "tok2vec":[
+
+    ],
+    "tagger":[
+      "ADJ",
+      "ADP",
+      "ADV",
+      "AUX",
+      "CCONJ",
+      "DET",
+      "INTJ",
+      "NOUN",
+      "NUM",
+      "PART",
+      "PRON",
+      "PROPN",
+      "PUNCT",
+      "SCONJ",
+      "VERB",
+      "X"
+    ],
+    "ner":[
+      "DEMO",
+      "EVENT",
+      "LOC",
+      "ORG",
+      "PERS",
+      "ROLE",
+      "WORK"
+    ],
+    "sentencizer":[
+
+    ],
+    "entity_linker":[
+
+    ]
+  },
+  "pipeline":[
+    "tok2vec",
+    "tagger",
+    "ner",
+    "sentencizer",
+    "entity_linker"
+  ],
+  "components":[
+    "tok2vec",
+    "tagger",
+    "ner",
+    "sentencizer",
+    "entity_linker"
+  ],
+  "disabled":[
+
+  ],
+  "performance":{
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+    "ents_f":0.9337571433,
+    "ents_p":0.9334730579,
+    "ents_r":0.9340414017,
+    "ents_per_type":{
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+      "EVENT":{
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+        "r":0.3125,
+        "f":0.4
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+    "tok2vec_loss":2054.72206861,
+    "tagger_loss":5028.4465362073,
+    "ner_loss":1481.7050281455
+  },
+  "requirements":[
+
+  ]
+}

ner/cfg

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+{
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+  "update_with_oracle_cut_size":100,
+  "multitasks":[
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+  ],
+  "min_action_freq":1,
+  "learn_tokens":false,
+  "beam_width":1,
+  "beam_density":0.0,
+  "beam_update_prob":0.0,
+  "incorrect_spans_key":null
+}

ner/model

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ner/moves

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sentencizer.json

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sr_pipeline-any-py3-none-any.whl

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tagger/cfg

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+{
+  "label_smoothing":0.0,
+  "labels":[
+    "ADJ",
+    "ADP",
+    "ADV",
+    "AUX",
+    "CCONJ",
+    "DET",
+    "INTJ",
+    "NOUN",
+    "NUM",
+    "PART",
+    "PRON",
+    "PROPN",
+    "PUNCT",
+    "SCONJ",
+    "VERB",
+    "X"
+  ],
+  "neg_prefix":"!",
+  "overwrite":false
+}

tok2vec/cfg

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+{
+
+}

tok2vec/model

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tokenizer

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