Arsalan831 commited on
Commit
213b3a8
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1 Parent(s): 8dfc827

Update spaCy pipeline

Browse files
.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_JobDesc_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_JobDesc_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: 0.9094650206
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+ - name: NER Recall
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+ type: recall
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+ value: 0.876984127
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+ - name: NER F Score
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+ type: f_score
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+ value: 0.8929292929
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+ ---
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+ | Feature | Description |
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+ | --- | --- |
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+ | **Name** | `en_JobDesc_pipeline` |
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+ | **Version** | `0.0.0` |
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+ | **spaCy** | `>=3.7.2,<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 (5 labels for 1 components)</summary>
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+
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+ | Component | Labels |
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+ | --- | --- |
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+ | **`ner`** | `EXPERIENCE`, `QUALIFICATION`, `ROLES`, `SKILLS`, `TITLE` |
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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` | 89.29 |
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+ | `ENTS_P` | 90.95 |
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+ | `ENTS_R` | 87.70 |
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+ | `TRANSFORMER_LOSS` | 439.35 |
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+ | `NER_LOSS` | 1436600.63 |
config.cfg ADDED
@@ -0,0 +1,147 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [paths]
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+ train = "/content/drive/MyDrive/RankingAssets/jd_train_data.spacy"
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+ dev = "/content/drive/MyDrive/RankingAssets/jd_test_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 = "bert-base-uncased"
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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 = 1000
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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_JobDesc_pipeline-any-py3-none-any.whl ADDED
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+ size 406160942
meta.json ADDED
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+ {
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+ "lang":"en",
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+ "name":"JobDesc_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":">=3.7.2,<3.8.0",
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+ "spacy_git_version":"a89eae928",
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+ "vectors":{
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+ "width":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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+ "EXPERIENCE",
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+ "QUALIFICATION",
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+ "ROLES",
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+ "SKILLS",
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+ "TITLE"
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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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+ "performance":{
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+ "ents_f":0.8929292929,
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+ "ents_p":0.9094650206,
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+ "ents_r":0.876984127,
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+ "ents_per_type":{
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+ "TITLE":{
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+ "p":0.9016393443,
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+ "r":0.9649122807,
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+ "f":0.9322033898
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+ },
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+ "ROLES":{
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+ "p":0.9423076923,
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+ "r":0.9245283019,
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+ "f":0.9333333333
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+ },
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+ "SKILLS":{
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+ "p":0.8867924528,
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+ "r":0.7966101695,
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+ "f":0.8392857143
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+ },
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+ "QUALIFICATION":{
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+ "p":0.9375,
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+ "r":1.0,
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+ "f":0.9677419355
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+ },
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+ "EXPERIENCE":{
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+ "p":1.0,
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+ "r":0.8888888889,
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+ "f":0.9411764706
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+ }
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+ },
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+ "transformer_loss":4.3934552449,
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+ "ner_loss":14366.0062501409
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+ },
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+ "requirements":[
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+ "spacy-transformers>=1.3.4,<1.4.0"
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+ ]
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+ }
ner/cfg ADDED
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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 (232 kB). View file
 
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tokenizer ADDED
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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
+ "Fla.",
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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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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551
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552
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553
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556
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557
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558
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559
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560
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561
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562
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563
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564
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565
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566
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567
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568
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571
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572
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573
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574
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575
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577
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578
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580
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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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596
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597
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598
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599
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600
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601
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602
+ "Ill",
603
+ "Ill.",
604
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605
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606
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607
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608
+ "Inc.",
609
+ "Incident",
610
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611
+ "Ind.",
612
+ "Independent",
613
+ "Indiana",
614
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615
+ "Infrastructure",
616
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617
+ "Integration",
618
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619
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620
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622
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624
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625
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626
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627
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628
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630
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631
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632
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633
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634
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635
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636
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637
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638
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639
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640
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642
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644
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645
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646
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647
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648
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650
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651
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652
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653
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654
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655
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656
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657
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658
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659
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660
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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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668
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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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676
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677
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678
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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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685
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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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701
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703
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705
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711
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712
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713
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720
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722
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725
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726
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727
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728
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729
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730
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732
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745
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751
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753
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756
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758
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759
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761
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763
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817
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2862
+ "xxx",
2863
+ "xxx'x",
2864
+ "xxx).xxxx",
2865
+ "xxx-dd",
2866
+ "xxx-ddd",
2867
+ "xxx.xx",
2868
+ "xxx/xx",
2869
+ "xxxx",
2870
+ "xxxx'",
2871
+ "xxxx'x",
2872
+ "xxxx).Xx",
2873
+ "xxxx).xx",
2874
+ "xxxx)xxxx",
2875
+ "xxxx+",
2876
+ "xxxx.xx",
2877
+ "xxxxdx",
2878
+ "xxxx\u2019",
2879
+ "xxxx\u2019x",
2880
+ "xxx\u2019x",
2881
+ "xx\u2019",
2882
+ "xx\u2019x",
2883
+ "xx\u2019xx",
2884
+ "x\u2019",
2885
+ "x\u2019x",
2886
+ "x\u2019xxxx",
2887
+ "x\ufe35x",
2888
+ "y",
2889
+ "y'",
2890
+ "y's",
2891
+ "y.",
2892
+ "y3D",
2893
+ "y3d",
2894
+ "years",
2895
+ "yee",
2896
+ "you",
2897
+ "your",
2898
+ "yourself",
2899
+ "yst",
2900
+ "yze",
2901
+ "y\u2019",
2902
+ "y\u2019s",
2903
+ "z",
2904
+ "z.",
2905
+ "zed",
2906
+ "zes",
2907
+ "|",
2908
+ "}",
2909
+ "\u00a0",
2910
+ "\u00ac",
2911
+ "\u00ac_\u00ac",
2912
+ "\u00af",
2913
+ "\u00af\\(x)/\u00af",
2914
+ "\u00af\\(\u30c4)/\u00af",
2915
+ "\u00b0",
2916
+ "\u00b0C.",
2917
+ "\u00b0F.",
2918
+ "\u00b0K.",
2919
+ "\u00b0X.",
2920
+ "\u00b0c.",
2921
+ "\u00b0f.",
2922
+ "\u00b0k.",
2923
+ "\u00b0x.",
2924
+ "\u00e4",
2925
+ "\u00e4.",
2926
+ "\u00f6",
2927
+ "\u00f6.",
2928
+ "\u00fc",
2929
+ "\u00fc.",
2930
+ "\u0ca0",
2931
+ "\u0ca0_\u0ca0",
2932
+ "\u0ca0\ufe35\u0ca0",
2933
+ "\u2013",
2934
+ "\u2014",
2935
+ "\u2018",
2936
+ "\u2018S",
2937
+ "\u2018X",
2938
+ "\u2018s",
2939
+ "\u2018x",
2940
+ "\u2019",
2941
+ "\u2019-(",
2942
+ "\u2019-)",
2943
+ "\u2019Cause",
2944
+ "\u2019Cos",
2945
+ "\u2019Coz",
2946
+ "\u2019Cuz",
2947
+ "\u2019S",
2948
+ "\u2019X",
2949
+ "\u2019Xxx",
2950
+ "\u2019Xxxxx",
2951
+ "\u2019am",
2952
+ "\u2019bout",
2953
+ "\u2019cause",
2954
+ "\u2019cos",
2955
+ "\u2019coz",
2956
+ "\u2019cuz",
2957
+ "\u2019d",
2958
+ "\u2019em",
2959
+ "\u2019ll",
2960
+ "\u2019m",
2961
+ "\u2019nuff",
2962
+ "\u2019re",
2963
+ "\u2019s",
2964
+ "\u2019ve",
2965
+ "\u2019x",
2966
+ "\u2019xx",
2967
+ "\u2019xxx",
2968
+ "\u2019xxxx",
2969
+ "\u2019y",
2970
+ "\u2019\u2019",
2971
+ "\u2501",
2972
+ "\u253b",
2973
+ "\u253b\u2501\u253b",
2974
+ "\u256f",
2975
+ "\u25a1",
2976
+ "\ufe35",
2977
+ "\uff09"
2978
+ ]
vocab/vectors ADDED
Binary file (128 Bytes). View file
 
vocab/vectors.cfg ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "mode":"default"
3
+ }