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oh201516
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en_setec_mk_tv

Token Classification
spaCy
English
Eval Results
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oh201516 commited on
Commit
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1 Parent(s): d44ac5e

Update spaCy pipeline

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Files changed (16) hide show
  1. .gitattributes +2 -0
  2. README.md +56 -0
  3. config.cfg +145 -0
  4. en_setec_mk_tv-any-py3-none-any.whl +3 -0
  5. meta.json +114 -0
  6. ner/cfg +13 -0
  7. ner/model +0 -0
  8. ner/moves +1 -0
  9. tok2vec/cfg +3 -0
  10. tok2vec/model +3 -0
  11. tokenizer +3 -0
  12. vocab/key2row +1 -0
  13. vocab/lookups.bin +3 -0
  14. vocab/strings.json +2909 -0
  15. vocab/vectors +0 -0
  16. vocab/vectors.cfg +3 -0
.gitattributes CHANGED
@@ -33,3 +33,5 @@ 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_setec_mk_tv-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_setec_mk_tv
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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: 0.9864953887
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+ - name: NER Recall
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+ type: recall
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+ value: 0.9861705631
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+ - name: NER F Score
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+ type: f_score
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+ value: 0.9863329491
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+ ---
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+ | Feature | Description |
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+ | --- | --- |
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+ | **Name** | `en_setec_mk_tv` |
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+ | **Version** | `0.0.0` |
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+ | **spaCy** | `>=3.7.5,<3.8.0` |
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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 (11 labels for 1 components)</summary>
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+
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+ | Component | Labels |
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+ | --- | --- |
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+ | **`ner`** | `AUDIO_FEATURE`, `COLOR`, `CONNECTION`, `INCH`, `MOUNTING_FEATURE`, `OS`, `REFRESH_RATE`, `RESOLUTION`, `SOFTWARE_FEATURE`, `VIDEO_FEATURE`, `WIRELESS_FEATURE` |
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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` | 98.63 |
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+ | `ENTS_P` | 98.65 |
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+ | `ENTS_R` | 98.62 |
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+ | `TOK2VEC_LOSS` | 54745.38 |
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+ | `NER_LOSS` | 102750.09 |
config.cfg ADDED
@@ -0,0 +1,145 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [paths]
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+ train = "./train.spacy"
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+ dev = "./train.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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+ vectors = {"@vectors":"spacy.Vectors.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 = 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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+ 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]
en_setec_mk_tv-any-py3-none-any.whl ADDED
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meta.json ADDED
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+ {
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+ "lang":"en",
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+ "name":"setec_mk_tv",
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+ "version":"0.0.0",
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+ "description":"",
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+ "author":"",
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+ "email":"",
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+ "url":"",
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+ "license":"",
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+ "spacy_version":">=3.7.5,<3.8.0",
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+ "INCH",
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+ "REFRESH_RATE",
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+ "SOFTWARE_FEATURE",
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+ "VIDEO_FEATURE",
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+ ]
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+ "pipeline":[
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+ "ner"
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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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+ {
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+ "multitasks":[
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+ "beam_update_prob":0.0,
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+ "incorrect_spans_key":null
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ner/model ADDED
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tok2vec/cfg ADDED
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tokenizer ADDED
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1124
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1256
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1269
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1318
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1321
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1325
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1360
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1384
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1800
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+ "xxdd",
2754
+ "xxddd",
2755
+ "xxddxddddxxxx",
2756
+ "xxddxddxxxx",
2757
+ "xxddxxddddxxxx",
2758
+ "xxddxxdddxxxx",
2759
+ "xxddxxddxxxx",
2760
+ "xxh",
2761
+ "xxx",
2762
+ "xxx'x",
2763
+ "xxx(xx",
2764
+ "xxx+",
2765
+ "xxx-",
2766
+ "xxx/xx",
2767
+ "xxxd",
2768
+ "xxxd.d",
2769
+ "xxxdd",
2770
+ "xxxx",
2771
+ "xxxx&xxxx",
2772
+ "xxxx'",
2773
+ "xxxx'x",
2774
+ "xxxx(xxxx",
2775
+ "xxxx+",
2776
+ "xxxx+xxx",
2777
+ "xxxx-dddxx",
2778
+ "xxxx/",
2779
+ "xxxx:dd",
2780
+ "xxxxXXX",
2781
+ "xxxxd",
2782
+ "xxxxd.d",
2783
+ "xxxxdddx",
2784
+ "xxxxdddxxxd",
2785
+ "xxxx\u2019",
2786
+ "xxxx\u2019x",
2787
+ "xxx\u2019x",
2788
+ "xx\u2019",
2789
+ "xx\u2019x",
2790
+ "xx\u2019xx",
2791
+ "x\u2019",
2792
+ "x\u2019x",
2793
+ "x\u2019xxxx",
2794
+ "x\ufe35x",
2795
+ "y",
2796
+ "y'",
2797
+ "y's",
2798
+ "y.",
2799
+ "yle",
2800
+ "ync",
2801
+ "you",
2802
+ "youtube",
2803
+ "y\u2019",
2804
+ "y\u2019s",
2805
+ "z",
2806
+ "z.",
2807
+ "zel",
2808
+ "zon",
2809
+ "zor",
2810
+ "|",
2811
+ "}",
2812
+ "\u00a0",
2813
+ "\u00ac",
2814
+ "\u00ac_\u00ac",
2815
+ "\u00af",
2816
+ "\u00af\\(x)/\u00af",
2817
+ "\u00af\\(\u30c4)/\u00af",
2818
+ "\u00b0",
2819
+ "\u00b0C.",
2820
+ "\u00b0F.",
2821
+ "\u00b0K.",
2822
+ "\u00b0X.",
2823
+ "\u00b0c.",
2824
+ "\u00b0f.",
2825
+ "\u00b0k.",
2826
+ "\u00b0x.",
2827
+ "\u00b7",
2828
+ "\u00d7",
2829
+ "\u00e4",
2830
+ "\u00e4.",
2831
+ "\u00f6",
2832
+ "\u00f6.",
2833
+ "\u00fc",
2834
+ "\u00fc.",
2835
+ "\u0420",
2836
+ "\u0420\u0435\u0437\u043e\u043b\u0443\u0446\u0438\u0458\u0430",
2837
+ "\u0430\u0441\u0442",
2838
+ "\u0432",
2839
+ "\u0432\u0433\u0440\u0430\u0434\u0435\u043d",
2840
+ "\u0432\u0433\u0440\u0430\u0434\u0435\u043d\u043e",
2841
+ "\u0432\u043b\u0435\u0437",
2842
+ "\u0434\u0435\u043d",
2843
+ "\u0435\u043d\u043e",
2844
+ "\u0437\u043e\u0440",
2845
+ "\u0438",
2846
+ "\u0438\u0437\u043b\u0435\u0437",
2847
+ "\u0438\u0437\u043b\u0435\u0437put",
2848
+ "\u0438\u0458\u0430",
2849
+ "\u043a",
2850
+ "\u043a\u043e\u043d\u0442\u0440\u0430\u0441\u0442",
2851
+ "\u043b\u0435\u0437",
2852
+ "\u043e",
2853
+ "\u043e\u043f\u0446\u0438\u0458\u0430",
2854
+ "\u043f",
2855
+ "\u043f\u0440\u043e\u0446\u0435\u0441\u043e\u0440",
2856
+ "\u0440",
2857
+ "\u0440\u0435\u0437\u043e\u043b\u0443\u0446\u0438\u0458\u0430",
2858
+ "\u0441\u043e\u0440",
2859
+ "\u0442",
2860
+ "\u0442\u0435\u043b\u0435\u0432\u0438\u0437\u043e\u0440",
2861
+ "\u0ca0",
2862
+ "\u0ca0_\u0ca0",
2863
+ "\u0ca0\ufe35\u0ca0",
2864
+ "\u2014",
2865
+ "\u2018",
2866
+ "\u2018S",
2867
+ "\u2018X",
2868
+ "\u2018s",
2869
+ "\u2018x",
2870
+ "\u2019",
2871
+ "\u2019-(",
2872
+ "\u2019-)",
2873
+ "\u2019Cause",
2874
+ "\u2019Cos",
2875
+ "\u2019Coz",
2876
+ "\u2019Cuz",
2877
+ "\u2019S",
2878
+ "\u2019X",
2879
+ "\u2019Xxx",
2880
+ "\u2019Xxxxx",
2881
+ "\u2019am",
2882
+ "\u2019bout",
2883
+ "\u2019cause",
2884
+ "\u2019cos",
2885
+ "\u2019coz",
2886
+ "\u2019cuz",
2887
+ "\u2019d",
2888
+ "\u2019em",
2889
+ "\u2019ll",
2890
+ "\u2019m",
2891
+ "\u2019nuff",
2892
+ "\u2019re",
2893
+ "\u2019s",
2894
+ "\u2019ve",
2895
+ "\u2019x",
2896
+ "\u2019xx",
2897
+ "\u2019xxx",
2898
+ "\u2019xxxx",
2899
+ "\u2019y",
2900
+ "\u2019\u2019",
2901
+ "\u201d",
2902
+ "\u2501",
2903
+ "\u253b",
2904
+ "\u253b\u2501\u253b",
2905
+ "\u256f",
2906
+ "\u25a1",
2907
+ "\ufe35",
2908
+ "\uff09"
2909
+ ]
vocab/vectors ADDED
Binary file (128 Bytes). View file
 
vocab/vectors.cfg ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "mode":"default"
3
+ }