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Sharukesh
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en_pipeline

Token Classification
spaCy
English
Eval Results
Model card Files Community
Sharukesh commited on
Commit
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1 Parent(s): 78be4f0

Update spaCy pipeline

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Files changed (17) hide show
  1. .gitattributes +2 -0
  2. README.md +56 -0
  3. config.cfg +147 -0
  4. config.json +143 -0
  5. en_pipeline-any-py3-none-any.whl +3 -0
  6. meta.json +84 -0
  7. ner/cfg +13 -0
  8. ner/model +0 -0
  9. ner/moves +1 -0
  10. tokenizer +3 -0
  11. transformer/cfg +3 -0
  12. transformer/model +3 -0
  13. vocab/key2row +1 -0
  14. vocab/lookups.bin +3 -0
  15. vocab/strings.json +3533 -0
  16. vocab/vectors +0 -0
  17. 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** | `>=3.7.6,<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 (6 labels for 1 components)</summary>
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+
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+ | Component | Labels |
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+ | --- | --- |
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+ | **`ner`** | `CHEMICAL COMPOUND`, `MATERIAL`, `METHOD`, `NUMERICAL VALUE`, `PROPERTY`, `UNITS` |
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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` | 610.86 |
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+ | `NER_LOSS` | 638.41 |
config.cfg ADDED
@@ -0,0 +1,147 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [paths]
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+ train = null
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+ dev = null
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+ vectors = null
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+ init_tok2vec = null
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+
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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
17
+ after_creation = null
18
+ 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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+
24
+ [components.ner]
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+ factory = "ner"
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+ incorrect_spans_key = null
27
+ 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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+
31
+ [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"
42
+ grad_factor = 1.0
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+ pooling = {"@layers":"reduce_mean.v1"}
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+ upstream = "*"
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+
46
+ [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"
53
+ name = "roberta-base"
54
+ mixed_precision = false
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+
56
+ [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
93
+ 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
142
+ before_init = null
143
+ after_init = null
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+
145
+ [initialize.components]
146
+
147
+ [initialize.tokenizer]
config.json ADDED
@@ -0,0 +1,143 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "vectors": "null",
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+ "system": {
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+ },
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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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+ "factory": "\"ner\"",
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+ "scorer": "{\"@scorers\":\"spacy.ner_scorer.v1\"}",
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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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+ "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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+ "@readers": "\"spacy.Corpus.v1\"",
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+ "path": "${paths.dev}",
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+ "max_length": "0",
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+ "gold_preproc": "false",
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+ "limit": "0",
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+ "augmenter": "null"
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+ },
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+ "accumulate_gradient": "3",
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+ "dev_corpus": "\"corpora.dev\"",
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+ "train_corpus": "\"corpora.train\"",
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+ "seed": "${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_steps": "20000",
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+ "eval_frequency": "200",
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+ "before_to_disk": "null",
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+ "@batchers": "\"spacy.batch_by_padded.v1\"",
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+ "buffer": "256",
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+ "warmup_steps": "250",
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+ "initial_rate": "0.00005"
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+ "PROPERTY",
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+ "UNITS"
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+ }
ner/cfg ADDED
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ner/model ADDED
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ner/moves ADDED
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tokenizer ADDED
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463
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464
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465
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466
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467
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468
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469
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471
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473
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475
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477
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480
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483
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484
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485
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486
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489
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499
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501
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502
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503
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504
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506
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507
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508
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510
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511
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512
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515
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516
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518
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520
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521
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522
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523
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524
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525
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526
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527
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528
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529
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530
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531
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532
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533
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534
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535
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536
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537
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538
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539
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540
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541
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542
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543
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544
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545
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546
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547
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548
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549
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550
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552
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553
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555
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557
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558
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560
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561
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562
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567
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568
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570
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571
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572
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574
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575
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576
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577
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578
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579
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580
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581
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582
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585
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586
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587
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588
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589
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590
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591
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592
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593
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594
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595
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597
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598
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599
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601
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602
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603
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604
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605
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606
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607
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608
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609
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610
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611
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612
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613
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614
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615
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616
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617
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620
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621
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624
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627
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628
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629
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630
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632
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653
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655
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657
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659
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661
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662
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663
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665
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666
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667
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669
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670
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671
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672
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673
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674
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675
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679
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680
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681
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682
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683
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684
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686
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687
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688
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689
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690
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691
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692
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693
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695
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696
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698
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699
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700
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701
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703
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704
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705
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706
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711
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712
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713
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714
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716
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718
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730
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732
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737
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740
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745
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750
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751
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752
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753
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754
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755
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756
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757
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760
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761
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762
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764
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767
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768
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770
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771
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772
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1103
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3371
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3372
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3373
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3374
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3375
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3376
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3377
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3378
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3379
+ "x\u00b7x\u2212d\u00b7xxx\u2212d",
3380
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3381
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3382
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3383
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3384
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3387
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3388
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+ "}",
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+ "\u00a0",
3412
+ "\u00a9",
3413
+ "\u00ac",
3414
+ "\u00ac_\u00ac",
3415
+ "\u00af",
3416
+ "\u00af\\(x)/\u00af",
3417
+ "\u00af\\(\u30c4)/\u00af",
3418
+ "\u00b0",
3419
+ "\u00b0C.",
3420
+ "\u00b0F.",
3421
+ "\u00b0K.",
3422
+ "\u00b0X.",
3423
+ "\u00b0c.",
3424
+ "\u00b0f.",
3425
+ "\u00b0k.",
3426
+ "\u00b0x.",
3427
+ "\u00c2",
3428
+ "\u00e2",
3429
+ "\u00e2\u02c6\u00bc178",
3430
+ "\u00e2\u02c6\u00bc277",
3431
+ "\u00e2\u02c6\u00bc5.5",
3432
+ "\u00e4",
3433
+ "\u00e4.",
3434
+ "\u00f6",
3435
+ "\u00f6.",
3436
+ "\u00fc",
3437
+ "\u00fc.",
3438
+ "\u03a9",
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+ "\u03c9",
3440
+ "\u0ca0",
3441
+ "\u0ca0_\u0ca0",
3442
+ "\u0ca0\ufe35\u0ca0",
3443
+ "\u200b",
3444
+ "\u200b+",
3445
+ "\u200b0.5",
3446
+ "\u200b20.0",
3447
+ "\u200bH2SO4",
3448
+ "\u200bK",
3449
+ "\u200bM",
3450
+ "\u200bX",
3451
+ "\u200bXdXXd",
3452
+ "\u200bcm2",
3453
+ "\u200bcm\u22122",
3454
+ "\u200bd.d",
3455
+ "\u200bdd.d",
3456
+ "\u200bh2so4",
3457
+ "\u200bk",
3458
+ "\u200bm",
3459
+ "\u200bmA",
3460
+ "\u200bmV",
3461
+ "\u200bma",
3462
+ "\u200bmv",
3463
+ "\u200bs\u22121",
3464
+ "\u200bx",
3465
+ "\u200bxX",
3466
+ "\u200bxdxxd",
3467
+ "\u200bxx",
3468
+ "\u200bxxd",
3469
+ "\u200bxx\u2212d",
3470
+ "\u200bx\u2212d",
3471
+ "\u200b\u00d7",
3472
+ "\u2013",
3473
+ "\u2014",
3474
+ "\u2018",
3475
+ "\u2018S",
3476
+ "\u2018X",
3477
+ "\u2018s",
3478
+ "\u2018x",
3479
+ "\u2019",
3480
+ "\u2019-(",
3481
+ "\u2019-)",
3482
+ "\u2019Cause",
3483
+ "\u2019Cos",
3484
+ "\u2019Coz",
3485
+ "\u2019Cuz",
3486
+ "\u2019S",
3487
+ "\u2019X",
3488
+ "\u2019Xxx",
3489
+ "\u2019Xxxxx",
3490
+ "\u2019am",
3491
+ "\u2019bout",
3492
+ "\u2019cause",
3493
+ "\u2019cos",
3494
+ "\u2019coz",
3495
+ "\u2019cuz",
3496
+ "\u2019d",
3497
+ "\u2019em",
3498
+ "\u2019ll",
3499
+ "\u2019m",
3500
+ "\u2019nuff",
3501
+ "\u2019re",
3502
+ "\u2019s",
3503
+ "\u2019ve",
3504
+ "\u2019x",
3505
+ "\u2019xx",
3506
+ "\u2019xxx",
3507
+ "\u2019xxxx",
3508
+ "\u2019y",
3509
+ "\u2019\u2019",
3510
+ "\u201c",
3511
+ "\u201d",
3512
+ "\u2192",
3513
+ "\u2206",
3514
+ "\u2206H",
3515
+ "\u2206S",
3516
+ "\u2206X",
3517
+ "\u2206h",
3518
+ "\u2206s",
3519
+ "\u2206x",
3520
+ "\u223c",
3521
+ "\u223c1",
3522
+ "\u223c107.8",
3523
+ "\u223c109.3",
3524
+ "\u223cd",
3525
+ "\u223cddd.d",
3526
+ "\u2501",
3527
+ "\u253b",
3528
+ "\u253b\u2501\u253b",
3529
+ "\u256f",
3530
+ "\u25a1",
3531
+ "\ufe35",
3532
+ "\uff09"
3533
+ ]
vocab/vectors ADDED
Binary file (128 Bytes). View file
 
vocab/vectors.cfg ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "mode":"default"
3
+ }