Update spaCy pipeline

.gitattributes

@@ -31,3 +31,9 @@ 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
+tr_core_news_trf-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
+morphologizer/model filter=lfs diff=lfs merge=lfs -text
+ner/model filter=lfs diff=lfs merge=lfs -text
+parser/model filter=lfs diff=lfs merge=lfs -text
+trainable_lemmatizer/model filter=lfs diff=lfs merge=lfs -text
+transformer/model filter=lfs diff=lfs merge=lfs -text

config.cfg

@@ -0,0 +1,248 @@
+[paths]
+tagger_model = "training/BOUN/model-best"
+ner_model = "training/NER/model-best"
+train = null
+dev = null
+vectors = null
+init_tok2vec = null
+
+[system]
+seed = 0
+gpu_allocator = null
+
+[nlp]
+lang = "tr"
+pipeline = ["transformer","tagger","morphologizer","trainable_lemmatizer","parser","ner"]
+tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+disabled = []
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+batch_size = 1000
+
+[components]
+
+[components.morphologizer]
+factory = "morphologizer"
+extend = false
+overwrite = true
+scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
+
+[components.morphologizer.model]
+@architectures = "spacy.Tagger.v2"
+nO = null
+normalize = false
+
+[components.morphologizer.model.tok2vec]
+@architectures = "spacy-transformers.TransformerListener.v1"
+grad_factor = 1.0
+pooling = {"@layers":"reduce_mean.v1"}
+upstream = "*"
+
+[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-transformers.Tok2VecTransformer.v3"
+name = "dbmdz/bert-base-turkish-cased"
+mixed_precision = false
+pooling = {"@layers":"reduce_mean.v1"}
+grad_factor = 1.0
+
+[components.ner.model.tok2vec.get_spans]
+@span_getters = "spacy-transformers.strided_spans.v1"
+window = 128
+stride = 96
+
+[components.ner.model.tok2vec.grad_scaler_config]
+
+[components.ner.model.tok2vec.tokenizer_config]
+use_fast = true
+
+[components.ner.model.tok2vec.transformer_config]
+
+[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 = 128
+maxout_pieces = 3
+use_upper = false
+nO = null
+
+[components.parser.model.tok2vec]
+@architectures = "spacy-transformers.TransformerListener.v1"
+grad_factor = 1.0
+pooling = {"@layers":"reduce_mean.v1"}
+upstream = "*"
+
+[components.tagger]
+factory = "tagger"
+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-transformers.TransformerListener.v1"
+grad_factor = 1.0
+pooling = {"@layers":"reduce_mean.v1"}
+upstream = "*"
+
+[components.trainable_lemmatizer]
+factory = "trainable_lemmatizer"
+backoff = null
+min_tree_freq = 1
+overwrite = false
+scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
+top_k = 7
+
+[components.trainable_lemmatizer.model]
+@architectures = "spacy.Tagger.v2"
+nO = null
+normalize = false
+
+[components.trainable_lemmatizer.model.tok2vec]
+@architectures = "spacy-transformers.TransformerListener.v1"
+grad_factor = 1.0
+pooling = {"@layers":"reduce_mean.v1"}
+upstream = "*"
+
+[components.transformer]
+factory = "transformer"
+max_batch_items = 4096
+set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
+
+[components.transformer.model]
+@architectures = "spacy-transformers.TransformerModel.v3"
+name = "dbmdz/bert-base-turkish-cased"
+mixed_precision = false
+
+[components.transformer.model.get_spans]
+@span_getters = "spacy-transformers.strided_spans.v1"
+window = 128
+stride = 96
+
+[components.transformer.model.grad_scaler_config]
+
+[components.transformer.model.tokenizer_config]
+use_fast = true
+
+[components.transformer.model.transformer_config]
+
+[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
+
+[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 = 0.2
+pos_acc = 0.1
+morph_acc = 0.1
+morph_per_feat = null
+lemma_acc = 0.2
+dep_uas = 0.1
+dep_las = 0.1
+dep_las_per_type = null
+sents_p = null
+sents_r = null
+sents_f = 0.0
+ents_f = 0.2
+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]

morphologizer/model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5d4a91a696c2b888823d006796ad0fdb387eed29402ca99370a70493b2ae74e5
+size 4337813

ner/cfg

@@ -0,0 +1,13 @@
+{
+  "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
+}

ner/model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9df1181fc266cf735786b2d5d64cf5452a10f7f0db047538b739305c686cbab0
+size 443883055

ner/moves

@@ -0,0 +1 @@
+��moves�l{"0":{},"1":{"ORG":149243,"PER":122602,"LOC":102282,"PERSON":19504,"DATE":12758,"GPE":12609,"WORK_OF_ART":7017,"EVENT":6330,"NORP":4399,"CARDINAL":4268,"TITLE":3627,"FAC":2169,"PRODUCT":1682,"ORDINAL":1570,"QUANTITY":1197,"LANGUAGE":887,"MONEY":252,"TIME":251,"PERCENT":227,"LAW":189},"2":{"ORG":149243,"PER":122602,"LOC":102282,"PERSON":19504,"DATE":12758,"GPE":12609,"WORK_OF_ART":7017,"EVENT":6330,"NORP":4399,"CARDINAL":4268,"TITLE":3627,"FAC":2169,"PRODUCT":1682,"ORDINAL":1570,"QUANTITY":1197,"LANGUAGE":887,"MONEY":252,"TIME":251,"PERCENT":227,"LAW":189},"3":{"ORG":149243,"PER":122602,"LOC":102282,"PERSON":19504,"DATE":12758,"GPE":12609,"WORK_OF_ART":7017,"EVENT":6330,"NORP":4399,"CARDINAL":4268,"TITLE":3627,"FAC":2169,"PRODUCT":1682,"ORDINAL":1570,"QUANTITY":1197,"LANGUAGE":887,"MONEY":252,"TIME":251,"PERCENT":227,"LAW":189},"4":{"ORG":149243,"PER":122602,"LOC":102282,"PERSON":19504,"DATE":12758,"GPE":12609,"WORK_OF_ART":7017,"EVENT":6330,"NORP":4399,"CARDINAL":4268,"TITLE":3627,"FAC":2169,"PRODUCT":1682,"ORDINAL":1570,"QUANTITY":1197,"LANGUAGE":887,"MONEY":252,"TIME":251,"PERCENT":227,"LAW":189,"":1},"5":{"":1}}�cfg��neg_key�

parser/cfg

@@ -0,0 +1,13 @@
+{
+  "moves":null,
+  "update_with_oracle_cut_size":100,
+  "multitasks":[
+
+  ],
+  "min_action_freq":30,
+  "learn_tokens":false,
+  "beam_width":1,
+  "beam_density":0.0,
+  "beam_update_prob":0.0,
+  "incorrect_spans_key":null
+}

parser/model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8da5577fbfede8de01d3e2b69307598598328ca4bdeddb4244f5ebae4f4fc188
+size 1026807

parser/moves

@@ -0,0 +1 @@
+��moves��{"0":{"":63745},"1":{"":25711},"2":{"obl":9555,"nmod:poss":8244,"nsubj":6571,"punct":6503,"amod":6299,"obj":5787,"advmod":4053,"det":3952,"acl":2796,"cc":2316,"advcl":2245,"nmod":1419,"nummod":1238,"ccomp":1152,"csubj":432,"discourse":233,"compound":204,"cc:preconj":106,"clf":93,"xcomp":88,"mark":83,"vocative":42,"conj||obl":35,"dep":0},"3":{"punct":9649,"conj":5582,"case":2447,"flat":1669,"compound":1637,"advmod:emph":1326,"compound:lvc":995,"compound:redup":368,"obl":238,"aux:q":226,"nsubj":213,"advmod":184,"aux":155,"parataxis":154,"cop":138,"obj":120,"appos":96,"discourse":92,"mark":68,"advcl":39,"cc":38,"list":36,"vocative":32,"dep":0},"4":{"ROOT":7803}}�cfg��neg_key�

tagger/cfg

@@ -0,0 +1,112 @@
+{
+  "labels":[
+    "ADP",
+    "ADV",
+    "ANum",
+    "ANum_Adj",
+    "ANum_Ness",
+    "ANum_Noun",
+    "ANum_With",
+    "ANum_Zero",
+    "Abr",
+    "Abr_With",
+    "Adj",
+    "Adj_Ness",
+    "Adj_With",
+    "Adj_Without",
+    "Adj_Zero",
+    "Adv",
+    "Adverb",
+    "Adverb_Adverb",
+    "Adverb_Noun",
+    "Adverb_Zero",
+    "Conj",
+    "Conj_Conj",
+    "DET",
+    "Demons",
+    "Demons_Zero",
+    "Det",
+    "Det_Zero",
+    "Dup",
+    "Interj",
+    "NAdj",
+    "NAdj_Aux",
+    "NAdj_Ness",
+    "NAdj_Noun",
+    "NAdj_Rel",
+    "NAdj_Verb",
+    "NAdj_With",
+    "NAdj_Without",
+    "NAdj_Zero",
+    "NNum",
+    "NNum_Rel",
+    "NNum_Zero",
+    "NOUN",
+    "Neg",
+    "Ness",
+    "Noun",
+    "Noun_Ness",
+    "Noun_Noun",
+    "Noun_Rel",
+    "Noun_Since",
+    "Noun_Verb",
+    "Noun_With",
+    "Noun_With_Ness",
+    "Noun_With_Verb",
+    "Noun_With_Zero",
+    "Noun_Without",
+    "Noun_Zero",
+    "PCAbl",
+    "PCAbl_Rel",
+    "PCAcc",
+    "PCDat",
+    "PCDat_Zero",
+    "PCGen",
+    "PCIns",
+    "PCIns_Zero",
+    "PCNom",
+    "PCNom_Adj",
+    "PCNom_Noun",
+    "PCNom_Zero",
+    "PRON",
+    "PUNCT",
+    "Pers",
+    "Pers_Ness",
+    "Pers_Pers",
+    "Pers_Rel",
+    "Pers_Zero",
+    "Postp",
+    "Prop",
+    "Prop_Conj",
+    "Prop_Rel",
+    "Prop_Since",
+    "Prop_With",
+    "Prop_Zero",
+    "Punc",
+    "Punc_Noun_Ness",
+    "Punc_Noun_Rel",
+    "Quant",
+    "Quant_Zero",
+    "Ques",
+    "Ques_Zero",
+    "Reflex",
+    "Reflex_Zero",
+    "Rel",
+    "SYM",
+    "Since",
+    "Since_Since",
+    "Verb",
+    "Verb_Conj",
+    "Verb_Ness",
+    "Verb_Noun",
+    "Verb_Verb",
+    "Verb_With",
+    "Verb_Zero",
+    "With",
+    "Without",
+    "Without_Zero",
+    "Zero"
+  ],
+  "neg_prefix":"!",
+  "overwrite":false
+}

tokenizer

@@ -0,0 +1 @@
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tr_core_news_trf-any-py3-none-any.whl

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+oid sha256:336e96402cb9f64a786444a916ce591fc21e1456894ee391312780fd5b29a011
+size 849189322

trainable_lemmatizer/cfg

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transformer/cfg

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transformer/model

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vocab/key2row

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vocab/lookups.bin

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+size 1

vocab/vectors.cfg

@@ -0,0 +1,3 @@
+{
+  "mode":"default"
+}