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abhiii
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en_pipeline

Token Classification
spaCy
English
Eval Results
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abhiii commited on
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1 Parent(s): 4763b2e

Update spaCy pipeline

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Files changed (16) hide show
  1. .gitattributes +2 -0
  2. README.md +56 -0
  3. config.cfg +147 -0
  4. en_pipeline-any-py3-none-any.whl +3 -0
  5. meta.json +138 -0
  6. ner/cfg +13 -0
  7. ner/model +0 -0
  8. ner/moves +1 -0
  9. tokenizer +3 -0
  10. transformer/cfg +3 -0
  11. transformer/model +3 -0
  12. vocab/key2row +1 -0
  13. vocab/lookups.bin +3 -0
  14. vocab/strings.json +4280 -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_pipeline-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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+ transformer/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: 1.0
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+ - name: NER Recall
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+ type: recall
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+ value: 1.0
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+ - name: NER F Score
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+ type: f_score
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+ value: 1.0
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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** | `>=3.7.5,<3.8.0` |
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+ | **Default Pipeline** | `transformer`, `ner` |
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+ | **Components** | `transformer`, `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 (15 labels for 1 components)</summary>
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+
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+ | Component | Labels |
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+ | --- | --- |
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+ | **`ner`** | `CREDIT_CARD`, `DATE_TIME`, `EMAIL_ADDRESS`, `IBAN_CODE`, `IP_ADDRESS`, `LOCATION`, `NRP`, `PERSON`, `PHONE_NUMBER`, `URL`, `US_BANK_NUMBER`, `US_DRIVER_LICENSE`, `US_ITIN`, `US_PASSPORT`, `US_SSN` |
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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` | 100.00 |
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+ | `ENTS_P` | 100.00 |
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+ | `ENTS_R` | 100.00 |
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+ | `TRANSFORMER_LOSS` | 0.00 |
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+ | `NER_LOSS` | 0.00 |
config.cfg ADDED
@@ -0,0 +1,147 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [paths]
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+ train = "./training_data.spacy"
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+ dev = "./training_data.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 = "pytorch"
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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 = ["transformer","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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+ 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 = false
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+ nO = null
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+
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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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+
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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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+
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+ [components.transformer.model]
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+ @architectures = "spacy-transformers.TransformerModel.v3"
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+ name = "roberta-base"
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+ mixed_precision = false
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+
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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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+
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+ [components.transformer.model.grad_scaler_config]
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+
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+ [components.transformer.model.tokenizer_config]
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+ use_fast = true
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+
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+ [components.transformer.model.transformer_config]
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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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+ 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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+ before_update = null
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+
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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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+
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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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+
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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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+
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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_pipeline-any-py3-none-any.whl ADDED
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+ size 427163827
meta.json ADDED
@@ -0,0 +1,138 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "lang":"en",
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+ "name":"pipeline",
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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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+ "spacy_git_version":"a6d0fc360",
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+ "vectors":{
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+ "width":0,
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+ "vectors":0,
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+ "keys":0,
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+ "name":null
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+ },
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+ "labels":{
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+ "transformer":[
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+
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+ ],
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+ "ner":[
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+ "CREDIT_CARD",
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+ "DATE_TIME",
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+ "EMAIL_ADDRESS",
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+ "IBAN_CODE",
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+ "IP_ADDRESS",
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+ "LOCATION",
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+ "NRP",
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+ "PERSON",
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+ "PHONE_NUMBER",
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+ "URL",
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+ "US_BANK_NUMBER",
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+ "US_DRIVER_LICENSE",
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+ "US_ITIN",
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+ "US_PASSPORT",
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+ "US_SSN"
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+ ]
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+ },
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+ "pipeline":[
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+ "transformer",
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+ "ner"
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+ ],
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+ "components":[
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+ "transformer",
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+ "ner"
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+ ],
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+ "disabled":[
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+
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+ ],
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+ "performance":{
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+ "ents_f":1.0,
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+ "ents_p":1.0,
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+ "ents_r":1.0,
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+ "ents_per_type":{
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+ "CREDIT_CARD":{
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+ "r":1.0,
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+ "DATE_TIME":{
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+ "PHONE_NUMBER":{
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+ "f":1.0
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+ "EMAIL_ADDRESS":{
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+ "URL":{
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+ "IBAN_CODE":{
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+ },
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+ "US_BANK_NUMBER":{
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+ "IP_ADDRESS":{
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+ "US_DRIVER_LICENSE":{
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+ "r":1.0,
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+ "f":1.0
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+ },
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+ "NRP":{
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+ "p":1.0,
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+ "r":1.0,
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+ "f":1.0
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+ },
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+ "US_ITIN":{
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+ "p":1.0,
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+ "r":1.0,
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+ "f":1.0
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+ },
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+ "US_SSN":{
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+ "r":1.0,
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+ "f":1.0
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+ }
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+ },
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+ "transformer_loss":0.00000975,
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+ "ner_loss":0.0000124705
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+ },
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+ "requirements":[
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+ "spacy-transformers>=1.3.5,<1.4.0"
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+ ]
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+ }
ner/cfg ADDED
@@ -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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+ ],
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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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+ }
ner/model ADDED
Binary file (295 kB). View file
 
ner/moves ADDED
@@ -0,0 +1 @@
 
 
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+ ��moves��{"0":{},"1":{"LOCATION":231,"PHONE_NUMBER":118,"CREDIT_CARD":109,"DATE_TIME":107,"US_SSN":100,"US_ITIN":100,"PERSON":84,"EMAIL_ADDRESS":35,"URL":33,"IP_ADDRESS":29,"NRP":27,"IBAN_CODE":21,"US_PASSPORT":20,"US_DRIVER_LICENSE":20,"US_BANK_NUMBER":20},"2":{"LOCATION":231,"PHONE_NUMBER":118,"CREDIT_CARD":109,"DATE_TIME":107,"US_SSN":100,"US_ITIN":100,"PERSON":84,"EMAIL_ADDRESS":35,"URL":33,"IP_ADDRESS":29,"NRP":27,"IBAN_CODE":21,"US_PASSPORT":20,"US_DRIVER_LICENSE":20,"US_BANK_NUMBER":20},"3":{"LOCATION":231,"PHONE_NUMBER":118,"CREDIT_CARD":109,"DATE_TIME":107,"US_SSN":100,"US_ITIN":100,"PERSON":84,"EMAIL_ADDRESS":35,"URL":33,"IP_ADDRESS":29,"NRP":27,"IBAN_CODE":21,"US_PASSPORT":20,"US_DRIVER_LICENSE":20,"US_BANK_NUMBER":20},"4":{"LOCATION":231,"PHONE_NUMBER":118,"CREDIT_CARD":109,"DATE_TIME":107,"US_SSN":100,"US_ITIN":100,"PERSON":84,"EMAIL_ADDRESS":35,"URL":33,"IP_ADDRESS":29,"NRP":27,"IBAN_CODE":21,"US_PASSPORT":20,"US_DRIVER_LICENSE":20,"US_BANK_NUMBER":20,"":1},"5":{"":1}}�cfg��neg_key�
tokenizer ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ "[email protected]",
4173
+ "[email protected]",
4174
+ "[email protected]",
4175
+ "xxxx\u2019",
4176
+ "xxxx\u2019x",
4177
+ "xxx\u2019x",
4178
+ "xx\u2019",
4179
+ "xx\u2019x",
4180
+ "xx\u2019xx",
4181
+ "x\u2019",
4182
+ "x\u2019x",
4183
+ "x\u2019xxxx",
4184
+ "x\ufe35x",
4185
+ "y",
4186
+ "y'",
4187
+ "y's",
4188
+ "y.",
4189
+ "y123456789",
4190
+ "yan",
4191
+ "yared",
4192
+ "year",
4193
+ "years",
4194
+ "yed",
4195
+ "yer",
4196
+ "yet",
4197
+ "yon",
4198
+ "york",
4199
+ "you",
4200
+ "your",
4201
+ "ypt",
4202
+ "y\u2019",
4203
+ "y\u2019s",
4204
+ "z",
4205
+ "z.",
4206
+ "z98765432",
4207
+ "zed",
4208
+ "zil",
4209
+ "zon",
4210
+ "|",
4211
+ "}",
4212
+ "\u00a0",
4213
+ "\u00ac",
4214
+ "\u00ac_\u00ac",
4215
+ "\u00af",
4216
+ "\u00af\\(x)/\u00af",
4217
+ "\u00af\\(\u30c4)/\u00af",
4218
+ "\u00b0",
4219
+ "\u00b0C.",
4220
+ "\u00b0F.",
4221
+ "\u00b0K.",
4222
+ "\u00b0X.",
4223
+ "\u00b0c.",
4224
+ "\u00b0f.",
4225
+ "\u00b0k.",
4226
+ "\u00b0x.",
4227
+ "\u00e4",
4228
+ "\u00e4.",
4229
+ "\u00f6",
4230
+ "\u00f6.",
4231
+ "\u00fc",
4232
+ "\u00fc.",
4233
+ "\u0ca0",
4234
+ "\u0ca0_\u0ca0",
4235
+ "\u0ca0\ufe35\u0ca0",
4236
+ "\u2014",
4237
+ "\u2018",
4238
+ "\u2018S",
4239
+ "\u2018X",
4240
+ "\u2018s",
4241
+ "\u2018x",
4242
+ "\u2019",
4243
+ "\u2019-(",
4244
+ "\u2019-)",
4245
+ "\u2019Cause",
4246
+ "\u2019Cos",
4247
+ "\u2019Coz",
4248
+ "\u2019Cuz",
4249
+ "\u2019S",
4250
+ "\u2019X",
4251
+ "\u2019Xxx",
4252
+ "\u2019Xxxxx",
4253
+ "\u2019am",
4254
+ "\u2019bout",
4255
+ "\u2019cause",
4256
+ "\u2019cos",
4257
+ "\u2019coz",
4258
+ "\u2019cuz",
4259
+ "\u2019d",
4260
+ "\u2019em",
4261
+ "\u2019ll",
4262
+ "\u2019m",
4263
+ "\u2019nuff",
4264
+ "\u2019re",
4265
+ "\u2019s",
4266
+ "\u2019ve",
4267
+ "\u2019x",
4268
+ "\u2019xx",
4269
+ "\u2019xxx",
4270
+ "\u2019xxxx",
4271
+ "\u2019y",
4272
+ "\u2019\u2019",
4273
+ "\u2501",
4274
+ "\u253b",
4275
+ "\u253b\u2501\u253b",
4276
+ "\u256f",
4277
+ "\u25a1",
4278
+ "\ufe35",
4279
+ "\uff09"
4280
+ ]
vocab/vectors ADDED
Binary file (128 Bytes). View file
 
vocab/vectors.cfg ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "mode":"default"
3
+ }