bcalzadilla commited on
Commit
81807e5
·
1 Parent(s): cd26c61

Update spaCy pipeline

Browse files
.gitattributes CHANGED
@@ -32,3 +32,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ en_pipeline-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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+ tok2vec/model filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ tags:
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+ - spacy
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+ - token-classification
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+ language:
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+ - en
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+ model-index:
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+ - name: en_pipeline
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+ results:
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+ - task:
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+ name: NER
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+ type: token-classification
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+ metrics:
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+ - name: NER Precision
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+ type: precision
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+ value: 0.9917355372
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+ - name: NER Recall
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+ type: recall
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+ value: 0.9917355372
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+ - name: NER F Score
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+ type: f_score
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+ value: 0.9917355372
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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** | `>=3.4.3,<3.5.0` |
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+ | **Default Pipeline** | `tok2vec`, `ner` |
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+ | **Components** | `tok2vec`, `ner` |
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+ | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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+ | **Sources** | n/a |
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+ | **License** | n/a |
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+ | **Author** | [n/a]() |
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+
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+ ### Label Scheme
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+
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+ <details>
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+
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+ <summary>View label scheme (11 labels for 1 components)</summary>
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+
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+ | Component | Labels |
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+ | --- | --- |
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+ | **`ner`** | `AMOUNT`, `BILLED TO`, `INVOICE DATE`, `INVOICE NUMBER`, `PROVIDER`, `TABLEROW 1`, `TABLEROW 2`, `TABLEROW 3`, `TABLEROW 4`, `TABLEROW 5`, `TABLEROW 6` |
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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` | 99.17 |
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+ | `ENTS_P` | 99.17 |
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+ | `ENTS_R` | 99.17 |
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+ | `TOK2VEC_LOSS` | 3632.16 |
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+ | `NER_LOSS` | 11047.27 |
config.cfg ADDED
@@ -0,0 +1,143 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [paths]
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+ train = "./train.spacy"
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+ dev = "./train.spacy"
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+ vectors = null
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+ init_tok2vec = null
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+
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+ [system]
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+ gpu_allocator = null
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+ seed = 0
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+
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+ [nlp]
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+ lang = "en"
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+ pipeline = ["tok2vec","ner"]
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+ batch_size = 1000
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+ disabled = []
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+ before_creation = null
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+ after_creation = null
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+ after_pipeline_creation = null
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+ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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+
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+ [components]
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+
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+ [components.ner]
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+ factory = "ner"
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+ incorrect_spans_key = null
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+ moves = null
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+ scorer = {"@scorers":"spacy.ner_scorer.v1"}
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+ update_with_oracle_cut_size = 100
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+
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+ [components.ner.model]
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+ @architectures = "spacy.TransitionBasedParser.v2"
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+ state_type = "ner"
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+ extra_state_tokens = false
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+ hidden_width = 64
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+ maxout_pieces = 2
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+ use_upper = true
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+ nO = null
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+
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+ [components.ner.model.tok2vec]
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+ @architectures = "spacy.Tok2VecListener.v1"
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+ width = ${components.tok2vec.model.encode.width}
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+ upstream = "*"
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+
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+ [components.tok2vec]
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+ factory = "tok2vec"
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+
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+ [components.tok2vec.model]
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+ @architectures = "spacy.Tok2Vec.v2"
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+
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+ [components.tok2vec.model.embed]
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+ @architectures = "spacy.MultiHashEmbed.v2"
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+ width = ${components.tok2vec.model.encode.width}
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+ attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
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+ rows = [5000,1000,2500,2500]
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+ include_static_vectors = false
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+
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+ [components.tok2vec.model.encode]
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+ @architectures = "spacy.MaxoutWindowEncoder.v2"
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+ width = 96
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+ depth = 4
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+ window_size = 1
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+ maxout_pieces = 3
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+
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+ [corpora]
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+
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+ [corpora.dev]
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+ @readers = "spacy.Corpus.v1"
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+ path = ${paths.dev}
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+ max_length = 0
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+ gold_preproc = false
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+ limit = 0
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+ augmenter = null
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+
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+ [corpora.train]
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+ @readers = "spacy.Corpus.v1"
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+ path = ${paths.train}
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+ max_length = 0
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+ gold_preproc = false
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+ limit = 0
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+ augmenter = null
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+
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+ [training]
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+ dev_corpus = "corpora.dev"
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+ train_corpus = "corpora.train"
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+ seed = ${system.seed}
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+ gpu_allocator = ${system.gpu_allocator}
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+ dropout = 0.1
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+ accumulate_gradient = 1
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+ patience = 1600
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+ max_epochs = 0
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+ max_steps = 20000
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+ eval_frequency = 200
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+ frozen_components = []
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+ annotating_components = []
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+ before_to_disk = null
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+
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+ [training.batcher]
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+ @batchers = "spacy.batch_by_words.v1"
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+ discard_oversize = false
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+ tolerance = 0.2
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+ get_length = null
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+
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+ [training.batcher.size]
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+ @schedules = "compounding.v1"
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+ start = 100
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+ stop = 1000
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+ compound = 1.001
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+ t = 0.0
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+
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+ [training.logger]
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+ @loggers = "spacy.ConsoleLogger.v1"
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+ progress_bar = false
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+
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+ [training.optimizer]
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+ @optimizers = "Adam.v1"
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+ beta1 = 0.9
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+ beta2 = 0.999
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+ L2_is_weight_decay = true
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+ L2 = 0.01
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+ grad_clip = 1.0
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+ use_averages = false
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+ eps = 0.00000001
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+ learn_rate = 0.001
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+
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+ [training.score_weights]
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+ ents_f = 1.0
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+ ents_p = 0.0
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+ ents_r = 0.0
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+ ents_per_type = null
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+
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+ [pretraining]
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+
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+ [initialize]
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+ vectors = ${paths.vectors}
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+ init_tok2vec = ${paths.init_tok2vec}
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+ vocab_data = null
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+ lookups = null
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+ before_init = null
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+ after_init = null
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+
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+ [initialize.components]
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+
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+ [initialize.tokenizer]
en_pipeline-any-py3-none-any.whl ADDED
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meta.json ADDED
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+ {
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+ "lang":"en",
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+ "name":"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":">=3.4.3,<3.5.0",
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+ "spacy_git_version":"63673a792",
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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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+ "tok2vec":[
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+
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+ ],
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+ "ner":[
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+ "AMOUNT",
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+ "BILLED TO",
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+ "INVOICE DATE",
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+ "INVOICE NUMBER",
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+ "PROVIDER",
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+ "TABLEROW 1",
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+ "TABLEROW 2",
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+ "TABLEROW 3",
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+ "TABLEROW 4",
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+ "TABLEROW 5",
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+ "TABLEROW 6"
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+ ]
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+ },
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+ "pipeline":[
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+ "tok2vec",
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+ "ner"
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+ ],
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+ "components":[
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+ "tok2vec",
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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":0.9917355372,
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+ "ents_p":0.9917355372,
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+ "ents_r":0.9917355372,
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+ "ents_per_type":{
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+ "PROVIDER":{
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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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+ "BILLED TO":{
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+ "p":0.9333333333,
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+ "r":0.9333333333,
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+ "f":0.9333333333
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+ },
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+ "INVOICE NUMBER":{
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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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+ "INVOICE DATE":{
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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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+ "AMOUNT":{
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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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+ "TABLEROW 1":{
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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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+ "TABLEROW 2":{
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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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+ "TABLEROW 3":{
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+ },
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+ "TABLEROW 4":{
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+ "r":1.0,
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+ "f":1.0
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+ },
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+ "TABLEROW 5":{
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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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+ "TABLEROW 6":{
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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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+ },
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+ "tok2vec_loss":36.321566166,
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+ "ner_loss":110.4726579211
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+ },
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+ "requirements":[
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+
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+ ]
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+ }
ner/cfg ADDED
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+ {
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+ "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 (138 kB). View file
 
ner/moves ADDED
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tok2vec/cfg ADDED
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+ {
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+
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+ }
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tokenizer ADDED
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2250
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2268
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2272
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2349
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2357
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2358
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+ "|",
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+ "}",
2627
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2628
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+ "\u00af\\(\u30c4)/\u00af",
2633
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2637
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2640
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2641
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2642
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2643
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2644
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2645
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2646
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2649
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2659
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2660
+ "\u2019Cause",
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+ "\u201c",
2689
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2690
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2691
+ "\u2501",
2692
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2693
+ "\u253b\u2501\u253b",
2694
+ "\u256f",
2695
+ "\u25a1",
2696
+ "\ufe35",
2697
+ "\uff09"
2698
+ ]
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vocab/vectors.cfg ADDED
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