Update spaCy pipeline

.gitattributes

@@ -33,3 +33,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+he_subref_ner-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
+tok2vec/model filter=lfs diff=lfs merge=lfs -text
+vocab/key2row filter=lfs diff=lfs merge=lfs -text
+vocab/strings.json filter=lfs diff=lfs merge=lfs -text
+vocab/vectors filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,56 @@
+---
+tags:
+- spacy
+- token-classification
+language:
+- he
+model-index:
+- name: he_subref_ner
+  results:
+  - task:
+      name: NER
+      type: token-classification
+    metrics:
+    - name: NER Precision
+      type: precision
+      value: 0.9611848825
+    - name: NER Recall
+      type: recall
+      value: 0.9651282051
+    - name: NER F Score
+      type: f_score
+      value: 0.9631525077
+---
+| Feature | Description |
+| --- | --- |
+| **Name** | `he_subref_ner` |
+| **Version** | `1.0.0` |
+| **spaCy** | `>=3.4.1,<3.5.0` |
+| **Default Pipeline** | `tok2vec`, `ner` |
+| **Components** | `tok2vec`, `ner` |
+| **Vectors** | 394654 keys, 394654 unique vectors (50 dimensions) |
+| **Sources** | n/a |
+| **License** | n/a |
+| **Author** | [n/a]() |
+
+### Label Scheme
+
+<details>
+
+<summary>View label scheme (7 labels for 1 components)</summary>
+
+| Component | Labels |
+| --- | --- |
+| **`ner`** | `דה`, `כותרת`, `לא-רציף`, `לקמן-להלן`, `מספר`, `סימן-טווח`, `שם` |
+
+</details>
+
+### Accuracy
+
+| Type | Score |
+| --- | --- |
+| `ENTS_F` | 96.32 |
+| `ENTS_P` | 96.12 |
+| `ENTS_R` | 96.51 |
+| `TOK2VEC_LOSS` | 11226.82 |
+| `NER_LOSS` | 2452.62 |

config.cfg

@@ -0,0 +1,183 @@
+[paths]
+train = "corpus/ref_subref_he_train.spacy"
+dev = "corpus/ref_subref_he_test.spacy"
+vectors = "vectors/all_text_he_fasttext_model_50"
+init_tok2vec = "models/pretrain_ref_he_50/model8.bin"
+raw_text = null
+
+[system]
+gpu_allocator = null
+seed = 6560
+min_len = 0
+
+[nlp]
+lang = "he"
+pipeline = ["tok2vec","ner"]
+batch_size = 1200
+disabled = []
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+tokenizer = {"@tokenizers":"inner_punct_tokenizer"}
+
+[components]
+
+[components.ner]
+factory = "ner"
+incorrect_spans_key = null
+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 = 32
+maxout_pieces = 3
+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.v1"
+width = ${components.tok2vec.model.encode.width}
+attrs = ["NORM","PREFIX","SUFFIX","ORTH"]
+rows = [5000,5000,5000,5000]
+include_static_vectors = true
+
+[components.tok2vec.model.encode]
+@architectures = "spacy.MaxoutWindowEncoder.v2"
+width = 256
+depth = 8
+window_size = 1
+maxout_pieces = 3
+
+[corpora]
+
+[corpora.dev]
+@readers = "spacy.Corpus.v1"
+path = ${paths.dev}
+gold_preproc = false
+max_length = 0
+limit = 0
+augmenter = null
+
+[corpora.pretrain]
+@readers = "spacy.JsonlCorpus.v1"
+path = ${paths.raw_text}
+min_length = 5
+max_length = 512
+limit = 0
+
+[corpora.train]
+@readers = "spacy.Corpus.v1"
+path = ${paths.train}
+gold_preproc = false
+max_length = 0
+limit = 0
+augmenter = null
+
+[training]
+dev_corpus = "corpora.dev"
+train_corpus = "corpora.train"
+seed = ${system.seed}
+gpu_allocator = ${system.gpu_allocator}
+dropout = 0.5
+accumulate_gradient = 1
+patience = 1600
+max_epochs = 0
+max_steps = 20000
+eval_frequency = 100
+frozen_components = []
+before_to_disk = null
+annotating_components = []
+
+[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 = true
+
+[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 = 0.0007
+
+[training.score_weights]
+ents_f = 1.0
+ents_p = 0.0
+ents_r = 0.0
+ents_per_type = null
+
+[pretraining]
+max_epochs = 15
+dropout = 0.5
+n_save_every = null
+n_save_epoch = null
+component = "tok2vec"
+layer = ""
+corpus = "corpora.pretrain"
+
+[pretraining.batcher]
+@batchers = "spacy.batch_by_words.v1"
+size = 10000
+discard_oversize = false
+tolerance = 0.2
+get_length = null
+
+[pretraining.objective]
+@architectures = "spacy.PretrainCharacters.v1"
+maxout_pieces = 3
+hidden_size = 50
+n_characters = 4
+
+[pretraining.optimizer]
+@optimizers = "Adam.v1"
+beta1 = 0.9
+beta2 = 0.999
+L2_is_weight_decay = true
+L2 = 0.01
+grad_clip = 1.0
+use_averages = true
+eps = 0.00000001
+learn_rate = 0.001
+
+[initialize]
+vectors = ${paths.vectors}
+init_tok2vec = ${paths.init_tok2vec}
+vocab_data = null
+lookups = null
+before_init = null
+after_init = null
+
+[initialize.components]
+
+[initialize.tokenizer]

he_subref_ner-any-py3-none-any.whl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4480a8acec08bae08b8a8be4cbd13d04ed986390b6625630b5da371d4c24c2f0
+size 119574549

meta.json

@@ -0,0 +1,90 @@
+{
+  "lang":"he",
+  "name":"subref_ner",
+  "version":"1.0.0",
+  "description":"",
+  "author":"",
+  "email":"",
+  "url":"",
+  "license":"",
+  "spacy_version":">=3.4.1,<3.5.0",
+  "spacy_git_version":"Unknown",
+  "vectors":{
+    "width":50,
+    "vectors":394654,
+    "keys":394654,
+    "name":"he_pipeline.vectors"
+  },
+  "labels":{
+    "tok2vec":[
+
+    ],
+    "ner":[
+      "\u05d3\u05d4",
+      "\u05db\u05d5\u05ea\u05e8\u05ea",
+      "\u05dc\u05d0-\u05e8\u05e6\u05d9\u05e3",
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+      "\u05e1\u05d9\u05de\u05df-\u05d8\u05d5\u05d5\u05d7",
+      "\u05e9\u05dd"
+    ]
+  },
+  "pipeline":[
+    "tok2vec",
+    "ner"
+  ],
+  "components":[
+    "tok2vec",
+    "ner"
+  ],
+  "disabled":[
+
+  ],
+  "performance":{
+    "ents_f":0.9631525077,
+    "ents_p":0.9611848825,
+    "ents_r":0.9651282051,
+    "ents_per_type":{
+      "\u05de\u05e1\u05e4\u05e8":{
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+        "r":0.9800443459,
+        "f":0.9703622393
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+        "r":1.0,
+        "f":0.9743589744
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+      "\u05db\u05d5\u05ea\u05e8\u05ea":{
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+        "f":0.9696969697
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+      "\u05dc\u05e7\u05de\u05df-\u05dc\u05d4\u05dc\u05df":{
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+        "p":0.0,
+        "r":0.0,
+        "f":0.0
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+    },
+    "tok2vec_loss":112.2682225389,
+    "ner_loss":24.5261597009
+  },
+  "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":null
+}

ner/moves

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+��moves�L{"0":{},"1":{"\u05de\u05e1\u05e4\u05e8":4676,"\u05db\u05d5\u05ea\u05e8\u05ea":3195,"\u05d3\u05d4":1213,"\u05e9\u05dd":111,"\u05e1\u05d9\u05de\u05df-\u05d8\u05d5\u05d5\u05d7":104,"\u05dc\u05e7\u05de\u05df-\u05dc\u05d4\u05dc\u05df":101,"\u05dc\u05d0-\u05e8\u05e6\u05d9\u05e3":8},"2":{"\u05de\u05e1\u05e4\u05e8":4676,"\u05db\u05d5\u05ea\u05e8\u05ea":3195,"\u05d3\u05d4":1213,"\u05e9\u05dd":111,"\u05e1\u05d9\u05de\u05df-\u05d8\u05d5\u05d5\u05d7":104,"\u05dc\u05e7\u05de\u05df-\u05dc\u05d4\u05dc\u05df":101,"\u05dc\u05d0-\u05e8\u05e6\u05d9\u05e3":8},"3":{"\u05de\u05e1\u05e4\u05e8":4676,"\u05db\u05d5\u05ea\u05e8\u05ea":3195,"\u05d3\u05d4":1213,"\u05e9\u05dd":111,"\u05e1\u05d9\u05de\u05df-\u05d8\u05d5\u05d5\u05d7":104,"\u05dc\u05e7\u05de\u05df-\u05dc\u05d4\u05dc\u05df":101,"\u05dc\u05d0-\u05e8\u05e6\u05d9\u05e3":8},"4":{"\u05de\u05e1\u05e4\u05e8":4676,"\u05db\u05d5\u05ea\u05e8\u05ea":3195,"\u05d3\u05d4":1213,"\u05e9\u05dd":111,"\u05e1\u05d9\u05de\u05df-\u05d8\u05d5\u05d5\u05d7":104,"\u05dc\u05e7\u05de\u05df-\u05dc\u05d4\u05dc\u05df":101,"\u05dc\u05d0-\u05e8\u05e6\u05d9\u05e3":8,"":1},"5":{"":1}}�cfg��neg_key�

spacy_function_registry.py

@@ -0,0 +1,21 @@
+import spacy, re
+from spacy.tokenizer import Tokenizer
+
+"""
+python -m spacy package ref_he packages -c /Users/nss/sefaria/project/sefaria/spacy_function_registry.py -b wheel,sdist -n ref_ner -v 1.0.0
+python -m spacy huggingface-hub push packages/he_ref_ner-1.0.0/dist/he_ref_ner-1.0.0-py3-none-any.whl -o Sefaria
+"""
+
+@spacy.registry.tokenizers("inner_punct_tokenizer")
+def inner_punct_tokenizer_factory():
+    def inner_punct_tokenizer(nlp):
+        # infix_re = spacy.util.compile_infix_regex(nlp.Defaults.infixes)
+        infix_re = re.compile(r'''[.,?!:;…‘’`“”"'~–\-/()<>]''')
+        prefix_re = spacy.util.compile_prefix_regex(nlp.Defaults.prefixes)
+        suffix_re = spacy.util.compile_suffix_regex(nlp.Defaults.suffixes)
+
+        return Tokenizer(nlp.vocab, prefix_search=prefix_re.search,
+                         suffix_search=suffix_re.search,
+                         infix_finditer=infix_re.finditer,
+                         token_match=None)
+    return inner_punct_tokenizer

tok2vec/cfg

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

tok2vec/model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:22954e946350b7b2fa7598ae790ec3c2b420a64647d5fbc7123c7995da885388
+size 43394001

tokenizer

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vocab/key2row

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vocab/vectors.cfg

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