Saurabh1105 commited on
Commit
04c7210
1 Parent(s): ecd80e0

Update spaCy pipeline

Browse files
.gitattributes CHANGED
@@ -32,3 +32,5 @@ 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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+ en_pipeline-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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+ tok2vec/model filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ tags:
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+ - spacy
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+ - token-classification
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+ language:
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+ - en
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+ model-index:
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+ - name: en_pipeline
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+ results:
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+ - task:
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+ name: NER
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+ type: token-classification
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+ metrics:
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+ - name: NER Precision
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+ type: precision
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+ value: 0.898989899
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+ - name: NER Recall
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+ type: recall
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+ value: 0.8682926829
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+ - name: NER F Score
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+ type: f_score
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+ value: 0.8833746898
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+ ---
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+ | Feature | Description |
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+ | --- | --- |
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+ | **Name** | `en_pipeline` |
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+ | **Version** | `0.0.0` |
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+ | **spaCy** | `>=3.5.1,<3.6.0` |
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+ | **Default Pipeline** | `tok2vec`, `ner` |
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+ | **Components** | `tok2vec`, `ner` |
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+ | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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+ | **Sources** | n/a |
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+ | **License** | n/a |
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+ | **Author** | [n/a]() |
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+
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+ ### Label Scheme
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+
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+ <details>
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+
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+ <summary>View label scheme (7 labels for 1 components)</summary>
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+
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+ | Component | Labels |
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+ | --- | --- |
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+ | **`ner`** | `DURATION`, `LOC`, `MISC`, `MONEY`, `ORG`, `PER`, `REASON` |
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+
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+ </details>
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+
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+ ### Accuracy
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+
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+ | Type | Score |
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+ | --- | --- |
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+ | `ENTS_F` | 88.34 |
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+ | `ENTS_P` | 89.90 |
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+ | `ENTS_R` | 86.83 |
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+ | `TOK2VEC_LOSS` | 322.84 |
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+ | `NER_LOSS` | 4541.55 |
config.cfg ADDED
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+ [paths]
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+ train = "/content/Custom_NER_Spacy3/corpus/train.spacy"
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+ dev = "/content/Custom_NER_Spacy3/corpus/dev.spacy"
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+ vectors = null
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+ init_tok2vec = null
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+
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+ [system]
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+ gpu_allocator = null
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+ seed = 0
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+
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+ [nlp]
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+ lang = "en"
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+ pipeline = ["tok2vec","ner"]
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+ batch_size = 1000
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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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+
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+ [components]
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+
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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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+
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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 = true
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+ nO = null
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+
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+ [components.ner.model.tok2vec]
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+ @architectures = "spacy.Tok2VecListener.v1"
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+ width = ${components.tok2vec.model.encode.width}
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+ upstream = "*"
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+
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+ [components.tok2vec]
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+ factory = "tok2vec"
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+
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+ [components.tok2vec.model]
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+ @architectures = "spacy.Tok2Vec.v2"
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+
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+ [components.tok2vec.model.embed]
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+ @architectures = "spacy.MultiHashEmbed.v2"
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+ width = ${components.tok2vec.model.encode.width}
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+ attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
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+ rows = [5000,1000,2500,2500]
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+ include_static_vectors = false
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+
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+ [components.tok2vec.model.encode]
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+ @architectures = "spacy.MaxoutWindowEncoder.v2"
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+ width = 96
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+ depth = 4
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+ window_size = 1
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+ maxout_pieces = 3
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+
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+ [corpora]
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+
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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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+
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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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+
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+ [training]
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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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+ accumulate_gradient = 1
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+ patience = 1600
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+ max_epochs = 0
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+ max_steps = 100
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+ eval_frequency = 10
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+ frozen_components = []
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+ annotating_components = []
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+ before_to_disk = null
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+ before_update = null
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+
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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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+
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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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+
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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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+
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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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+
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+ [training.score_weights]
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+ ents_f = 1.0
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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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+
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+ [pretraining]
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+
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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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+
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+ [initialize.components]
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+
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+ [initialize.tokenizer]
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+ {
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+ "DURATION",
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+ "LOC",
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+ "PER",
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+ }
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+ },
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+ "tok2vec_loss":3.2283668593,
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+ "ner_loss":45.4154987173
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+ },
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+ "requirements":[
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+
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+ ]
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+ }
ner/cfg ADDED
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+ "provide",
1656
+ "provider",
1657
+ "pt.",
1658
+ "purpose",
1659
+ "purposes",
1660
+ "purvi",
1661
+ "q",
1662
+ "q.",
1663
+ "r",
1664
+ "r.",
1665
+ "rath",
1666
+ "re",
1667
+ "re.",
1668
+ "reason",
1669
+ "reasons",
1670
+ "red",
1671
+ "redhat",
1672
+ "reichert",
1673
+ "reliable",
1674
+ "rent",
1675
+ "rented",
1676
+ "renter",
1677
+ "renting",
1678
+ "rep",
1679
+ "rep.",
1680
+ "repay",
1681
+ "repaying",
1682
+ "request",
1683
+ "requesting",
1684
+ "required",
1685
+ "residence",
1686
+ "residing",
1687
+ "response",
1688
+ "responsibilities",
1689
+ "responsibility",
1690
+ "rev",
1691
+ "rev.",
1692
+ "rew",
1693
+ "rfc",
1694
+ "rge",
1695
+ "ria",
1696
+ "rippin",
1697
+ "risks",
1698
+ "riz",
1699
+ "rk.",
1700
+ "rks",
1701
+ "rly",
1702
+ "rms",
1703
+ "robel",
1704
+ "rock",
1705
+ "rof",
1706
+ "rohan",
1707
+ "rom",
1708
+ "ros",
1709
+ "rowe",
1710
+ "rp.",
1711
+ "rry",
1712
+ "rs.",
1713
+ "runte",
1714
+ "rvi",
1715
+ "s",
1716
+ "s's",
1717
+ "s.",
1718
+ "s.c.",
1719
+ "salem",
1720
+ "sam",
1721
+ "same",
1722
+ "san",
1723
+ "santa",
1724
+ "schmidt",
1725
+ "sed",
1726
+ "sen",
1727
+ "sen.",
1728
+ "sep",
1729
+ "sep.",
1730
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1731
+ "sept.",
1732
+ "serious",
1733
+ "ses",
1734
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1735
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1736
+ "sha",
1737
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1738
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1739
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1740
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1741
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1742
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1743
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1744
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1745
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1746
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1747
+ "sincerely",
1748
+ "sioux",
1749
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1750
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1751
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1752
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1753
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1754
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1755
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1756
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1757
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1758
+ "space",
1759
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1760
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1761
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1762
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1763
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1764
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1765
+ "st.",
1766
+ "status",
1767
+ "steady",
1768
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1769
+ "stoltenberg",
1770
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1771
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1772
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1773
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1774
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1775
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1776
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1777
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1778
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1779
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1780
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1781
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1782
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1783
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1784
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1785
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1786
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1787
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1788
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1789
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1790
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1791
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1792
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1793
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1794
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1795
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1796
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1797
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1798
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1799
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1800
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1801
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1802
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1803
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1804
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1805
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1806
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1807
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1808
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1809
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1810
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1811
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1812
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1813
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1814
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1815
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1816
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1817
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1818
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1819
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1820
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1821
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1822
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1823
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1824
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1825
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1826
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1827
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1828
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1829
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1830
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1831
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1832
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1833
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1834
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1835
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1836
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1837
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1838
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1839
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1840
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1841
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1842
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1843
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1844
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1845
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1846
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1847
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1848
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1849
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1850
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1851
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1852
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1853
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1854
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1855
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1856
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1857
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1858
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1859
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1860
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1861
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1862
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1863
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1864
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1865
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1866
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1867
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1868
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1869
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1870
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1871
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1872
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1873
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1874
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1875
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1876
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1877
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1878
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1879
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1880
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1881
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1882
+ "wilderman",
1883
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1884
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1885
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1886
+ "windler",
1887
+ "wis",
1888
+ "wis.",
1889
+ "with",
1890
+ "within",
1891
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1892
+ "wo",
1893
+ "work",
1894
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1895
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1896
+ "writing",
1897
+ "w\u2019s",
1898
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1899
+ "x'",
1900
+ "x'x",
1901
+ "x'xxxx",
1902
+ "x.",
1903
+ "x.X",
1904
+ "x.d",
1905
+ "x.x",
1906
+ "x.x.",
1907
+ "x/x",
1908
+ "xD",
1909
+ "xDD",
1910
+ "xX",
1911
+ "xXX",
1912
+ "x_X",
1913
+ "x_d",
1914
+ "x_x",
1915
+ "xd",
1916
+ "xdd",
1917
+ "xx",
1918
+ "xx'",
1919
+ "xx'x",
1920
+ "xx'xx",
1921
+ "xx.",
1922
+ "xxx",
1923
+ "xxx'x",
1924
+ "xxx.",
1925
+ "xxx/xx",
1926
+ "xxxx",
1927
+ "xxxx'",
1928
+ "xxxx'x",
1929
+ "xxxx.x",
1930
+ "xxxx\u2019",
1931
+ "xxxx\u2019x",
1932
+ "xxx\u2019x",
1933
+ "xx\u2019",
1934
+ "xx\u2019x",
1935
+ "xx\u2019xx",
1936
+ "x\u2019",
1937
+ "x\u2019x",
1938
+ "x\u2019xxxx",
1939
+ "x\ufe35x",
1940
+ "y",
1941
+ "y'",
1942
+ "y's",
1943
+ "y.",
1944
+ "yas",
1945
+ "year",
1946
+ "yearly",
1947
+ "years",
1948
+ "yed",
1949
+ "yer",
1950
+ "york",
1951
+ "you",
1952
+ "your",
1953
+ "y\u2019",
1954
+ "y\u2019s",
1955
+ "z",
1956
+ "z.",
1957
+ "zie",
1958
+ "|",
1959
+ "}",
1960
+ "\u00a0",
1961
+ "\u00ac",
1962
+ "\u00ac_\u00ac",
1963
+ "\u00af",
1964
+ "\u00af\\(x)/\u00af",
1965
+ "\u00af\\(\u30c4)/\u00af",
1966
+ "\u00b0",
1967
+ "\u00b0C.",
1968
+ "\u00b0F.",
1969
+ "\u00b0K.",
1970
+ "\u00b0X.",
1971
+ "\u00b0c.",
1972
+ "\u00b0f.",
1973
+ "\u00b0k.",
1974
+ "\u00b0x.",
1975
+ "\u00e4",
1976
+ "\u00e4.",
1977
+ "\u00f6",
1978
+ "\u00f6.",
1979
+ "\u00fc",
1980
+ "\u00fc.",
1981
+ "\u0ca0",
1982
+ "\u0ca0_\u0ca0",
1983
+ "\u0ca0\ufe35\u0ca0",
1984
+ "\u2014",
1985
+ "\u2018",
1986
+ "\u2018S",
1987
+ "\u2018X",
1988
+ "\u2018s",
1989
+ "\u2018x",
1990
+ "\u2019",
1991
+ "\u2019-(",
1992
+ "\u2019-)",
1993
+ "\u2019Cause",
1994
+ "\u2019Cos",
1995
+ "\u2019Coz",
1996
+ "\u2019Cuz",
1997
+ "\u2019S",
1998
+ "\u2019X",
1999
+ "\u2019Xxx",
2000
+ "\u2019Xxxxx",
2001
+ "\u2019am",
2002
+ "\u2019bout",
2003
+ "\u2019cause",
2004
+ "\u2019cos",
2005
+ "\u2019coz",
2006
+ "\u2019cuz",
2007
+ "\u2019d",
2008
+ "\u2019em",
2009
+ "\u2019ll",
2010
+ "\u2019m",
2011
+ "\u2019nuff",
2012
+ "\u2019re",
2013
+ "\u2019s",
2014
+ "\u2019ve",
2015
+ "\u2019x",
2016
+ "\u2019xx",
2017
+ "\u2019xxx",
2018
+ "\u2019xxxx",
2019
+ "\u2019y",
2020
+ "\u2019\u2019",
2021
+ "\u2501",
2022
+ "\u253b",
2023
+ "\u253b\u2501\u253b",
2024
+ "\u256f",
2025
+ "\u25a1",
2026
+ "\ufe35",
2027
+ "\uff09"
2028
+ ]
vocab/vectors ADDED
Binary file (128 Bytes). View file
 
vocab/vectors.cfg ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ {
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+ "mode":"default"
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+ }