BayanDuygu
commited on
Commit
•
c7e06a7
1
Parent(s):
c5b1ebd
Update spaCy pipeline
Browse files- .gitattributes +6 -0
- README.md +0 -0
- config.cfg +248 -0
- meta.json +0 -0
- morphologizer/cfg +0 -0
- morphologizer/model +3 -0
- ner/cfg +13 -0
- ner/model +3 -0
- ner/moves +1 -0
- parser/cfg +13 -0
- parser/model +3 -0
- parser/moves +1 -0
- tagger/cfg +112 -0
- tagger/model +0 -0
- tokenizer +1 -0
- tr_core_news_trf-any-py3-none-any.whl +3 -0
- trainable_lemmatizer/cfg +7095 -0
- trainable_lemmatizer/model +3 -0
- trainable_lemmatizer/trees +0 -0
- transformer/cfg +3 -0
- transformer/model +3 -0
- vocab/key2row +1 -0
- vocab/lookups.bin +3 -0
- vocab/strings.json +0 -0
- vocab/vectors +0 -0
- vocab/vectors.cfg +3 -0
.gitattributes
CHANGED
@@ -31,3 +31,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tr_core_news_trf-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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morphologizer/model filter=lfs diff=lfs merge=lfs -text
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ner/model filter=lfs diff=lfs merge=lfs -text
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parser/model filter=lfs diff=lfs merge=lfs -text
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trainable_lemmatizer/model filter=lfs diff=lfs merge=lfs -text
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transformer/model filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
The diff for this file is too large to render.
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config.cfg
ADDED
@@ -0,0 +1,248 @@
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[paths]
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tagger_model = "training/BOUN/model-best"
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ner_model = "training/NER/model-best"
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train = null
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dev = null
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vectors = null
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init_tok2vec = null
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[system]
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seed = 0
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gpu_allocator = null
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[nlp]
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lang = "tr"
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pipeline = ["transformer","tagger","morphologizer","trainable_lemmatizer","parser","ner"]
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tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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disabled = []
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before_creation = null
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after_creation = null
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after_pipeline_creation = null
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batch_size = 1000
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[components]
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[components.morphologizer]
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factory = "morphologizer"
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extend = false
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overwrite = true
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scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
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[components.morphologizer.model]
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@architectures = "spacy.Tagger.v2"
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nO = null
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normalize = false
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[components.morphologizer.model.tok2vec]
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@architectures = "spacy-transformers.TransformerListener.v1"
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grad_factor = 1.0
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pooling = {"@layers":"reduce_mean.v1"}
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upstream = "*"
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[components.ner]
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factory = "ner"
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incorrect_spans_key = null
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moves = null
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scorer = {"@scorers":"spacy.ner_scorer.v1"}
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update_with_oracle_cut_size = 100
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[components.ner.model]
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@architectures = "spacy.TransitionBasedParser.v2"
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state_type = "ner"
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extra_state_tokens = false
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hidden_width = 64
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maxout_pieces = 2
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use_upper = false
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nO = null
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[components.ner.model.tok2vec]
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@architectures = "spacy-transformers.Tok2VecTransformer.v3"
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name = "dbmdz/bert-base-turkish-cased"
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mixed_precision = false
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pooling = {"@layers":"reduce_mean.v1"}
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grad_factor = 1.0
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[components.ner.model.tok2vec.get_spans]
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@span_getters = "spacy-transformers.strided_spans.v1"
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window = 128
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stride = 96
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[components.ner.model.tok2vec.grad_scaler_config]
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[components.ner.model.tok2vec.tokenizer_config]
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use_fast = true
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[components.ner.model.tok2vec.transformer_config]
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[components.parser]
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factory = "parser"
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learn_tokens = false
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min_action_freq = 30
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moves = null
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scorer = {"@scorers":"spacy.parser_scorer.v1"}
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update_with_oracle_cut_size = 100
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[components.parser.model]
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@architectures = "spacy.TransitionBasedParser.v2"
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state_type = "parser"
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extra_state_tokens = false
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hidden_width = 128
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maxout_pieces = 3
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use_upper = false
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nO = null
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[components.parser.model.tok2vec]
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@architectures = "spacy-transformers.TransformerListener.v1"
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grad_factor = 1.0
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pooling = {"@layers":"reduce_mean.v1"}
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upstream = "*"
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[components.tagger]
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factory = "tagger"
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neg_prefix = "!"
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overwrite = false
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scorer = {"@scorers":"spacy.tagger_scorer.v1"}
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[components.tagger.model]
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@architectures = "spacy.Tagger.v2"
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nO = null
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normalize = false
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[components.tagger.model.tok2vec]
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@architectures = "spacy-transformers.TransformerListener.v1"
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grad_factor = 1.0
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pooling = {"@layers":"reduce_mean.v1"}
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upstream = "*"
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[components.trainable_lemmatizer]
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factory = "trainable_lemmatizer"
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backoff = null
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min_tree_freq = 1
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overwrite = false
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scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
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top_k = 7
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[components.trainable_lemmatizer.model]
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@architectures = "spacy.Tagger.v2"
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nO = null
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normalize = false
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[components.trainable_lemmatizer.model.tok2vec]
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@architectures = "spacy-transformers.TransformerListener.v1"
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grad_factor = 1.0
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pooling = {"@layers":"reduce_mean.v1"}
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upstream = "*"
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[components.transformer]
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factory = "transformer"
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max_batch_items = 4096
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set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
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[components.transformer.model]
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@architectures = "spacy-transformers.TransformerModel.v3"
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name = "dbmdz/bert-base-turkish-cased"
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mixed_precision = false
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[components.transformer.model.get_spans]
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@span_getters = "spacy-transformers.strided_spans.v1"
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window = 128
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stride = 96
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[components.transformer.model.grad_scaler_config]
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[components.transformer.model.tokenizer_config]
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use_fast = true
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[components.transformer.model.transformer_config]
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[corpora]
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[corpora.dev]
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@readers = "spacy.Corpus.v1"
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path = ${paths.dev}
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gold_preproc = false
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max_length = 0
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limit = 0
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augmenter = null
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[corpora.train]
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@readers = "spacy.Corpus.v1"
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path = ${paths.train}
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gold_preproc = false
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max_length = 0
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limit = 0
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augmenter = null
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[training]
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seed = ${system.seed}
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gpu_allocator = ${system.gpu_allocator}
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dropout = 0.1
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accumulate_gradient = 1
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patience = 1600
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max_epochs = 0
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max_steps = 20000
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eval_frequency = 200
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frozen_components = []
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annotating_components = []
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dev_corpus = "corpora.dev"
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train_corpus = "corpora.train"
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before_to_disk = null
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[training.batcher]
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@batchers = "spacy.batch_by_words.v1"
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discard_oversize = false
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tolerance = 0.2
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get_length = null
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[training.batcher.size]
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@schedules = "compounding.v1"
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start = 100
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stop = 1000
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compound = 1.001
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t = 0.0
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[training.logger]
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@loggers = "spacy.ConsoleLogger.v1"
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progress_bar = false
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[training.optimizer]
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@optimizers = "Adam.v1"
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beta1 = 0.9
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beta2 = 0.999
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L2_is_weight_decay = true
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L2 = 0.01
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grad_clip = 1.0
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use_averages = false
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eps = 0.00000001
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learn_rate = 0.001
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[training.score_weights]
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tag_acc = 0.2
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pos_acc = 0.1
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morph_acc = 0.1
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morph_per_feat = null
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lemma_acc = 0.2
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dep_uas = 0.1
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dep_las = 0.1
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dep_las_per_type = null
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sents_p = null
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sents_r = null
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sents_f = 0.0
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ents_f = 0.2
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ents_p = 0.0
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ents_r = 0.0
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ents_per_type = null
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[pretraining]
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[initialize]
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vectors = ${paths.vectors}
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init_tok2vec = ${paths.init_tok2vec}
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vocab_data = null
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lookups = null
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before_init = null
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after_init = null
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[initialize.components]
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[initialize.tokenizer]
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meta.json
ADDED
The diff for this file is too large to render.
See raw diff
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morphologizer/cfg
ADDED
The diff for this file is too large to render.
See raw diff
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morphologizer/model
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:5d4a91a696c2b888823d006796ad0fdb387eed29402ca99370a70493b2ae74e5
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size 4337813
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ner/cfg
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@@ -0,0 +1,13 @@
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{
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"moves":null,
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"update_with_oracle_cut_size":100,
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"multitasks":[
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],
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"min_action_freq":1,
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"learn_tokens":false,
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"beam_width":1,
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"beam_density":0.0,
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"beam_update_prob":0.0,
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"incorrect_spans_key":null
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}
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ner/model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9df1181fc266cf735786b2d5d64cf5452a10f7f0db047538b739305c686cbab0
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size 443883055
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ner/moves
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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
ADDED
@@ -0,0 +1,13 @@
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|
1 |
+
{
|
2 |
+
"moves":null,
|
3 |
+
"update_with_oracle_cut_size":100,
|
4 |
+
"multitasks":[
|
5 |
+
|
6 |
+
],
|
7 |
+
"min_action_freq":30,
|
8 |
+
"learn_tokens":false,
|
9 |
+
"beam_width":1,
|
10 |
+
"beam_density":0.0,
|
11 |
+
"beam_update_prob":0.0,
|
12 |
+
"incorrect_spans_key":null
|
13 |
+
}
|
parser/model
ADDED
@@ -0,0 +1,3 @@
|
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|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8da5577fbfede8de01d3e2b69307598598328ca4bdeddb4244f5ebae4f4fc188
|
3 |
+
size 1026807
|
parser/moves
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
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
ADDED
@@ -0,0 +1,112 @@
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|
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|
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|
|
|
|
|
|
1 |
+
{
|
2 |
+
"labels":[
|
3 |
+
"ADP",
|
4 |
+
"ADV",
|
5 |
+
"ANum",
|
6 |
+
"ANum_Adj",
|
7 |
+
"ANum_Ness",
|
8 |
+
"ANum_Noun",
|
9 |
+
"ANum_With",
|
10 |
+
"ANum_Zero",
|
11 |
+
"Abr",
|
12 |
+
"Abr_With",
|
13 |
+
"Adj",
|
14 |
+
"Adj_Ness",
|
15 |
+
"Adj_With",
|
16 |
+
"Adj_Without",
|
17 |
+
"Adj_Zero",
|
18 |
+
"Adv",
|
19 |
+
"Adverb",
|
20 |
+
"Adverb_Adverb",
|
21 |
+
"Adverb_Noun",
|
22 |
+
"Adverb_Zero",
|
23 |
+
"Conj",
|
24 |
+
"Conj_Conj",
|
25 |
+
"DET",
|
26 |
+
"Demons",
|
27 |
+
"Demons_Zero",
|
28 |
+
"Det",
|
29 |
+
"Det_Zero",
|
30 |
+
"Dup",
|
31 |
+
"Interj",
|
32 |
+
"NAdj",
|
33 |
+
"NAdj_Aux",
|
34 |
+
"NAdj_Ness",
|
35 |
+
"NAdj_Noun",
|
36 |
+
"NAdj_Rel",
|
37 |
+
"NAdj_Verb",
|
38 |
+
"NAdj_With",
|
39 |
+
"NAdj_Without",
|
40 |
+
"NAdj_Zero",
|
41 |
+
"NNum",
|
42 |
+
"NNum_Rel",
|
43 |
+
"NNum_Zero",
|
44 |
+
"NOUN",
|
45 |
+
"Neg",
|
46 |
+
"Ness",
|
47 |
+
"Noun",
|
48 |
+
"Noun_Ness",
|
49 |
+
"Noun_Noun",
|
50 |
+
"Noun_Rel",
|
51 |
+
"Noun_Since",
|
52 |
+
"Noun_Verb",
|
53 |
+
"Noun_With",
|
54 |
+
"Noun_With_Ness",
|
55 |
+
"Noun_With_Verb",
|
56 |
+
"Noun_With_Zero",
|
57 |
+
"Noun_Without",
|
58 |
+
"Noun_Zero",
|
59 |
+
"PCAbl",
|
60 |
+
"PCAbl_Rel",
|
61 |
+
"PCAcc",
|
62 |
+
"PCDat",
|
63 |
+
"PCDat_Zero",
|
64 |
+
"PCGen",
|
65 |
+
"PCIns",
|
66 |
+
"PCIns_Zero",
|
67 |
+
"PCNom",
|
68 |
+
"PCNom_Adj",
|
69 |
+
"PCNom_Noun",
|
70 |
+
"PCNom_Zero",
|
71 |
+
"PRON",
|
72 |
+
"PUNCT",
|
73 |
+
"Pers",
|
74 |
+
"Pers_Ness",
|
75 |
+
"Pers_Pers",
|
76 |
+
"Pers_Rel",
|
77 |
+
"Pers_Zero",
|
78 |
+
"Postp",
|
79 |
+
"Prop",
|
80 |
+
"Prop_Conj",
|
81 |
+
"Prop_Rel",
|
82 |
+
"Prop_Since",
|
83 |
+
"Prop_With",
|
84 |
+
"Prop_Zero",
|
85 |
+
"Punc",
|
86 |
+
"Punc_Noun_Ness",
|
87 |
+
"Punc_Noun_Rel",
|
88 |
+
"Quant",
|
89 |
+
"Quant_Zero",
|
90 |
+
"Ques",
|
91 |
+
"Ques_Zero",
|
92 |
+
"Reflex",
|
93 |
+
"Reflex_Zero",
|
94 |
+
"Rel",
|
95 |
+
"SYM",
|
96 |
+
"Since",
|
97 |
+
"Since_Since",
|
98 |
+
"Verb",
|
99 |
+
"Verb_Conj",
|
100 |
+
"Verb_Ness",
|
101 |
+
"Verb_Noun",
|
102 |
+
"Verb_Verb",
|
103 |
+
"Verb_With",
|
104 |
+
"Verb_Zero",
|
105 |
+
"With",
|
106 |
+
"Without",
|
107 |
+
"Without_Zero",
|
108 |
+
"Zero"
|
109 |
+
],
|
110 |
+
"neg_prefix":"!",
|
111 |
+
"overwrite":false
|
112 |
+
}
|
tagger/model
ADDED
Binary file (327 kB). View file
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|
tokenizer
ADDED
@@ -0,0 +1 @@
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|
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1 |
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|
tr_core_news_trf-any-py3-none-any.whl
ADDED
@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:336e96402cb9f64a786444a916ce591fc21e1456894ee391312780fd5b29a011
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3 |
+
size 849189322
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trainable_lemmatizer/cfg
ADDED
@@ -0,0 +1,7095 @@
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1926,
|
1027 |
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|
1028 |
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1930,
|
1029 |
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|
1030 |
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|
1031 |
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|
1032 |
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|
1033 |
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|
1034 |
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|
1035 |
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|
1036 |
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|
1037 |
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|
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|
1039 |
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|
1040 |
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|
1041 |
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|
1042 |
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1980,
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1059 |
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}
|
trainable_lemmatizer/model
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transformer/cfg
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{
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|
3 |
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|
transformer/model
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vocab/key2row
ADDED
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|
|
1 |
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�
|
vocab/lookups.bin
ADDED
@@ -0,0 +1,3 @@
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vocab/vectors
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vocab/vectors.cfg
ADDED
@@ -0,0 +1,3 @@
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|
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{
|
2 |
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|
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