Update spaCy pipeline
Browse files- .gitattributes +5 -0
- README.md +0 -0
- config.cfg +210 -0
- meta.json +0 -0
- morphologizer/cfg +0 -0
- morphologizer/model +3 -0
- ner/.ipynb_checkpoints/cfg-checkpoint +13 -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 +0 -0
- tagger/model +3 -0
- tokenizer +1 -0
- tr_spacy_demo-any-py3-none-any.whl +3 -0
- transformer/cfg +3 -0
- transformer/model +3 -0
- vocab/key2row +1 -0
- vocab/lookups.bin +3 -0
- vocab/strings.json +3 -0
- vocab/vectors +3 -0
- vocab/vectors.cfg +3 -0
.gitattributes
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@@ -25,3 +25,8 @@ 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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*.zstandard 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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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.whl filter=lfs diff=lfs merge=lfs -text
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*.npz filter=lfs diff=lfs merge=lfs -text
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*strings.json filter=lfs diff=lfs merge=lfs -text
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vectors filter=lfs diff=lfs merge=lfs -text
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model filter=lfs diff=lfs merge=lfs -text
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README.md
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config.cfg
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[paths]
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train = "./train.spacy"
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dev = "./dev.spacy"
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vectors = null
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init_tok2vec = null
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[system]
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gpu_allocator = "pytorch"
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seed = 0
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[nlp]
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lang = "tr"
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pipeline = ["transformer","tagger","morphologizer","parser","ner"]
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batch_size = 128
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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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tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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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.v1"
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nO = null
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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.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.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.v1"
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nO = null
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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.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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max_length = 0
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gold_preproc = false
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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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max_length = 0
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gold_preproc = false
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limit = 0
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augmenter = null
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[training]
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accumulate_gradient = 3
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dev_corpus = "corpora.dev"
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train_corpus = "corpora.train"
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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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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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before_to_disk = null
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[training.batcher]
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@batchers = "spacy.batch_by_padded.v1"
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discard_oversize = true
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size = 2000
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buffer = 256
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get_length = null
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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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[training.optimizer.learn_rate]
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@schedules = "warmup_linear.v1"
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warmup_steps = 250
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total_steps = 20000
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initial_rate = 0.00005
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[training.score_weights]
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tag_acc = 0.26
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pos_acc = 0.12
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morph_acc = 0.12
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morph_per_feat = null
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dep_uas = 0.12
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dep_las = 0.12
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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 = 0.26
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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.
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morphologizer/cfg
ADDED
The diff for this file is too large to render.
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morphologizer/model
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:060d1615c898b0f1c42c27dfc5d5a2dc18ab245696d2dec426232920d3812431
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size 4337761
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ner/.ipynb_checkpoints/cfg-checkpoint
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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/cfg
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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:f4352903f9ce62012bc8548afddb24b3279e008e9423c92fcfd39f6579e6a290
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size 225962
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ner/moves
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��moves��{"0":{},"1":{"PER":18838,"ORG":13504,"LOC":9946,"-":1},"2":{"PER":18838,"ORG":13504,"LOC":9946,"-":1},"3":{"PER":18838,"ORG":13504,"LOC":9946,"-":1},"4":{"PER":18838,"ORG":13504,"LOC":9946,"-":1,"":1},"5":{"":1}}�cfg��neg_key�
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parser/cfg
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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":30,
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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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parser/model
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version https://git-lfs.github.com/spec/v1
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oid sha256:76ca86453656d181dcd9997c2425e83d53fcdd7ddc5ceb706189920c9c6d73f1
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size 1051599
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parser/moves
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��moves��{"0":{"":63745},"1":{"":25711},"2":{"obl":9442,"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,"iobj":113,"cc:preconj":106,"clf":93,"xcomp":88,"mark":83,"vocative":42,"conj||obl":34,"dep":0},"3":{"punct":9649,"conj":5582,"case":2447,"flat":1669,"compound":1637,"advmod:emph":1326,"compound:lvc":995,"compound:redup":368,"obl":228,"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":{"":431906,"ROOT":7803}}�cfg��neg_key�
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tagger/cfg
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tagger/model
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version https://git-lfs.github.com/spec/v1
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oid sha256:474bd4db46ed428f7862489248dc75b5a517939cb581b591da1d2f35e8582880
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size 4919125
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tokenizer
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tr_spacy_demo-any-py3-none-any.whl
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{
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"max_batch_items":4096
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vocab/vectors
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1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:14772b683e726436d5948ad3fff2b43d036ef2ebbe3458aafed6004e05a40706
|
3 |
+
size 128
|
vocab/vectors.cfg
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"mode":"default"
|
3 |
+
}
|