add model

config.cfg

@@ -0,0 +1,150 @@
+[paths]
+train = "data/train.spacy"
+dev = "data/dev.spacy"
+vectors = null
+init_tok2vec = null
+
+[system]
+gpu_allocator = null
+seed = 0
+
+[nlp]
+lang = "en"
+pipeline = ["tok2vec","ner"]
+batch_size = 1000
+disabled = []
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+
+[components]
+
+[components.ner]
+factory = "ner"
+incorrect_spans_key = "incorrect_spans"
+moves = null
+scorer = {"@scorers":"spacy.ner_scorer.v1"}
+update_with_oracle_cut_size = 100
+
+[components.ner.model]
+@architectures = "spacy.TransitionBasedParser.v2"
+state_type = "ner"
+extra_state_tokens = false
+hidden_width = 64
+maxout_pieces = 2
+use_upper = true
+nO = null
+
+[components.ner.model.tok2vec]
+@architectures = "spacy.Tok2VecListener.v1"
+width = ${components.tok2vec.model.encode.width}
+upstream = "*"
+
+[components.tok2vec]
+factory = "tok2vec"
+
+[components.tok2vec.model]
+@architectures = "spacy.Tok2Vec.v2"
+
+[components.tok2vec.model.embed]
+@architectures = "spacy.MultiHashEmbed.v2"
+width = ${components.tok2vec.model.encode.width}
+attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
+rows = [5000,2500,2500,2500]
+include_static_vectors = false
+
+[components.tok2vec.model.encode]
+@architectures = "spacy.MaxoutWindowEncoder.v2"
+width = 96
+depth = 4
+window_size = 1
+maxout_pieces = 3
+
+[corpora]
+
+[corpora.dev]
+@readers = "spacy.Corpus.v1"
+path = ${paths.dev}
+max_length = 0
+gold_preproc = false
+limit = 0
+augmenter = null
+
+[corpora.train]
+@readers = "spacy.Corpus.v1"
+path = ${paths.train}
+max_length = 0
+gold_preproc = false
+limit = 0
+augmenter = null
+
+[training]
+dev_corpus = "corpora.dev"
+train_corpus = "corpora.train"
+seed = ${system.seed}
+gpu_allocator = ${system.gpu_allocator}
+dropout = 0.1
+accumulate_gradient = 1
+patience = 1600
+max_epochs = 0
+max_steps = 20000
+eval_frequency = 200
+frozen_components = []
+annotating_components = []
+before_to_disk = null
+
+[training.batcher]
+@batchers = "spacy.batch_by_words.v1"
+discard_oversize = false
+tolerance = 0.2
+get_length = null
+
+[training.batcher.size]
+@schedules = "compounding.v1"
+start = 100
+stop = 1000
+compound = 1.001
+t = 0.0
+
+[training.logger]
+@loggers = "spacy.ConsoleLogger.v1"
+progress_bar = false
+
+[training.optimizer]
+@optimizers = "Adam.v1"
+beta1 = 0.9
+beta2 = 0.999
+L2_is_weight_decay = true
+L2 = 0.01
+grad_clip = 1.0
+use_averages = false
+eps = 0.00000001
+learn_rate = 0.001
+
+[training.score_weights]
+ents_f = 1.0
+ents_p = 0.0
+ents_r = 0.0
+ents_per_type = null
+
+[pretraining]
+
+[initialize]
+vectors = ${paths.vectors}
+init_tok2vec = ${paths.init_tok2vec}
+vocab_data = null
+lookups = null
+before_init = null
+after_init = null
+
+[initialize.components]
+
+[initialize.components.ner]
+
+[initialize.components.ner.labels]
+@readers = "spacy.read_labels.v1"
+path = "data/labels/ner.json"
+require = false
+
+[initialize.tokenizer]

en_reciparse_model-0.0.0-py3-none-any.whl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a3af0488ec2d42e316fe86638464b6d421ca5fd92fb8bb5c140d69a241ce3dba
+size 6209014

meta.json

@@ -0,0 +1,54 @@
+{
+  "lang":"en",
+  "name":"reciparse_model",
+  "version":"0.0.0",
+  "description":"",
+  "author":"",
+  "email":"",
+  "url":"",
+  "license":"",
+  "spacy_version":">=3.3.1,<3.4.0",
+  "spacy_git_version":"5fb597f77",
+  "vectors":{
+    "width":0,
+    "vectors":0,
+    "keys":0,
+    "name":null
+  },
+  "labels":{
+    "tok2vec":[
+
+    ],
+    "ner":[
+      "INGREDIENT"
+    ]
+  },
+  "pipeline":[
+    "tok2vec",
+    "ner"
+  ],
+  "components":[
+    "tok2vec",
+    "ner"
+  ],
+  "disabled":[
+
+  ],
+  "performance":{
+    "ents_f":0.8796895213,
+    "ents_p":0.8854166667,
+    "ents_r":0.8740359897,
+    "ents_per_type":{
+      "INGREDIENT":{
+        "p":0.8854166667,
+        "r":0.8740359897,
+        "f":0.8796895213
+      }
+    },
+    "tok2vec_loss":375.5771132441,
+    "ner_loss":194.086525069
+  },
+  "requirements":[
+
+  ]
+}

ner/cfg

@@ -0,0 +1,13 @@
+{
+  "moves":null,
+  "update_with_oracle_cut_size":100,
+  "multitasks":[
+
+  ],
+  "min_action_freq":1,
+  "learn_tokens":false,
+  "beam_width":1,
+  "beam_density":0.0,
+  "beam_update_prob":0.0,
+  "incorrect_spans_key":"incorrect_spans"
+}

ner/model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2b9147dff37485a351fd8a8726c3318adfb8247d03078132b8287135dd70cf73
+size 127508

ner/moves

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+��moves�x{"0":{},"1":{"INGREDIENT":1711},"2":{"INGREDIENT":1711},"3":{"INGREDIENT":1711},"4":{"INGREDIENT":1711,"":1},"5":{"":1}}�cfg��neg_key�incorrect_spans

setup.py

@@ -0,0 +1,72 @@
+#!/usr/bin/env python
+import io
+import json
+from os import path, walk
+from shutil import copy
+from setuptools import setup
+
+
+def load_meta(fp):
+    with io.open(fp, encoding='utf8') as f:
+        return json.load(f)
+
+
+def load_readme(fp):
+    if path.exists(fp):
+        with io.open(fp, encoding='utf8') as f:
+            return f.read()
+    return ""
+
+
+def list_files(data_dir):
+    output = []
+    for root, _, filenames in walk(data_dir):
+        for filename in filenames:
+            if not filename.startswith('.'):
+                output.append(path.join(root, filename))
+    output = [path.relpath(p, path.dirname(data_dir)) for p in output]
+    output.append('meta.json')
+    return output
+
+
+def list_requirements(meta):
+    parent_package = meta.get('parent_package', 'spacy')
+    requirements = [parent_package + meta['spacy_version']]
+    if 'setup_requires' in meta:
+        requirements += meta['setup_requires']
+    if 'requirements' in meta:
+        requirements += meta['requirements']
+    return requirements
+
+
+def setup_package():
+    root = path.abspath(path.dirname(__file__))
+    meta_path = path.join(root, 'meta.json')
+    meta = load_meta(meta_path)
+    readme_path = path.join(root, 'README.md')
+    readme = load_readme(readme_path)
+    model_name = str(meta['lang'] + '_' + meta['name'])
+    model_dir = path.join(model_name, model_name + '-' + meta['version'])
+
+    copy(meta_path, path.join(model_name))
+    copy(meta_path, model_dir)
+
+    setup(
+        name=model_name,
+        description=meta.get('description'),
+        long_description=readme,
+        author=meta.get('author'),
+        author_email=meta.get('email'),
+        url=meta.get('url'),
+        version=meta['version'],
+        license=meta.get('license'),
+        packages=[model_name],
+        package_data={model_name: list_files(model_dir)},
+        install_requires=list_requirements(meta),
+        zip_safe=False,
+        entry_points={'spacy_models': ['{m} = {m}'.format(m=model_name)]}
+    )
+
+
+if __name__ == '__main__':
+    setup_package()

tok2vec/cfg

@@ -0,0 +1,3 @@
+{
+
+}

tok2vec/model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0e8e7e9591172ec382ce06a736665999fef06acff7ca837e8052df1435714e9b
+size 6585091

tokenizer

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+]

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+size 128

vocab/vectors.cfg

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