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
+en_tech-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
+textcat/model 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/vectors filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,67 @@
+---
+tags:
+- spacy
+- token-classification
+- text-classification
+language:
+- en
+model-index:
+- name: en_tech
+  results:
+  - task:
+      name: NER
+      type: token-classification
+    metrics:
+    - name: NER Precision
+      type: precision
+      value: 0.9494175353
+    - name: NER Recall
+      type: recall
+      value: 0.9485451761
+    - name: NER F Score
+      type: f_score
+      value: 0.9489811552
+---
+| Feature | Description |
+| --- | --- |
+| **Name** | `en_tech` |
+| **Version** | `0.0.3` |
+| **spaCy** | `>=3.7.5,<3.8.0` |
+| **Default Pipeline** | `tok2vec`, `ner`, `textcat` |
+| **Components** | `tok2vec`, `ner`, `textcat` |
+| **Vectors** | 514157 keys, 514157 unique vectors (300 dimensions) |
+| **Sources** | n/a |
+| **License** | n/a |
+| **Author** | [n/a]() |
+
+### Label Scheme
+
+<details>
+
+<summary>View label scheme (28 labels for 2 components)</summary>
+
+| Component | Labels |
+| --- | --- |
+| **`ner`** | `BRAND`, `CACHE`, `CLOCK_SPEED`, `COLOR`, `CORE_COUNT`, `FEATURE`, `GEN`, `GRAPHICS`, `GRAPHICS_RAM`, `MEM_TYPE`, `MODEL_NUMBER`, `OPERATING_SYSTEM`, `PROCESSOR`, `PROCESSOR_MODEL`, `PRODUCT_SERIES`, `RAM`, `RESOLUTION`, `SCREEN_SIZE`, `SCREEN_TYPE`, `SOCKET`, `STORAGE`, `STORAGE_TYPE`, `TAG`, `TYPE` |
+| **`textcat`** | `292`, `297`, `325`, `328` |
+
+</details>
+
+### Accuracy
+
+| Type | Score |
+| --- | --- |
+| `ENTS_F` | 94.90 |
+| `ENTS_P` | 94.94 |
+| `ENTS_R` | 94.85 |
+| `CATS_SCORE` | 99.72 |
+| `CATS_MICRO_P` | 99.71 |
+| `CATS_MICRO_R` | 99.71 |
+| `CATS_MICRO_F` | 99.71 |
+| `CATS_MACRO_P` | 99.66 |
+| `CATS_MACRO_R` | 99.79 |
+| `CATS_MACRO_F` | 99.72 |
+| `CATS_MACRO_AUC` | 99.99 |
+| `TOK2VEC_LOSS` | 4069176.06 |
+| `NER_LOSS` | 127272.02 |
+| `TEXTCAT_LOSS` | 32.03 |

config.cfg

@@ -0,0 +1,176 @@
+[paths]
+train = "data/Tech/train.spacy"
+dev = "data/Tech/dev.spacy"
+vectors = "en_core_web_lg"
+init_tok2vec = null
+
+[system]
+gpu_allocator = null
+seed = 0
+
+[nlp]
+lang = "en"
+pipeline = ["tok2vec","ner","textcat"]
+batch_size = 1000
+disabled = []
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+tokenizer = {"@tokenizers":"custom_tokenizer"}
+vectors = {"@vectors":"spacy.Vectors.v1"}
+
+[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 = 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.textcat]
+factory = "textcat"
+scorer = {"@scorers":"spacy.textcat_scorer.v2"}
+threshold = 0.0
+
+[components.textcat.model]
+@architectures = "spacy.TextCatEnsemble.v2"
+nO = null
+
+[components.textcat.model.linear_model]
+@architectures = "spacy.TextCatBOW.v2"
+exclusive_classes = true
+ngram_size = 1
+no_output_layer = false
+nO = null
+
+[components.textcat.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 = [5000,1000,2500,2500]
+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}
+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
+before_update = 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 = 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 = 0.001
+
+[training.score_weights]
+ents_f = 0.5
+ents_p = 0.0
+ents_r = 0.0
+ents_per_type = null
+cats_score = 0.5
+cats_score_desc = null
+cats_micro_p = null
+cats_micro_r = null
+cats_micro_f = null
+cats_macro_p = null
+cats_macro_r = null
+cats_macro_f = null
+cats_macro_auc = null
+cats_f_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.tokenizer]

custom_functions.py

@@ -0,0 +1,25 @@
+import spacy
+from spacy.tokenizer import Tokenizer
+
+
+@spacy.registry.tokenizers("custom_tokenizer")
+def create_custom_tokenizer():
+    def create_tokenizer(nlp):
+        infixes = nlp.Defaults.infixes + [
+            r"/",
+            r"-",
+            r",",
+            r":",
+        ]
+        prefixes = nlp.Defaults.prefixes + [
+            r"-",
+        ]
+        prefix_regex = spacy.util.compile_prefix_regex(prefixes)
+        infix_regex = spacy.util.compile_infix_regex(infixes)
+        return Tokenizer(
+            nlp.vocab,
+            prefix_search=prefix_regex.search,
+            infix_finditer=infix_regex.finditer,
+        )
+
+    return create_tokenizer

en_tech-any-py3-none-any.whl

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+size 607524893

meta.json

@@ -0,0 +1,232 @@
+{
+  "lang":"en",
+  "name":"tech",
+  "version":"0.0.3",
+  "description":"",
+  "author":"",
+  "email":"",
+  "url":"",
+  "license":"",
+  "spacy_version":">=3.7.5,<3.8.0",
+  "spacy_git_version":"a6d0fc360",
+  "vectors":{
+    "width":300,
+    "vectors":514157,
+    "keys":514157,
+    "name":"en_vectors"
+  },
+  "labels":{
+    "tok2vec":[
+
+    ],
+    "ner":[
+      "BRAND",
+      "CACHE",
+      "CLOCK_SPEED",
+      "COLOR",
+      "CORE_COUNT",
+      "FEATURE",
+      "GEN",
+      "GRAPHICS",
+      "GRAPHICS_RAM",
+      "MEM_TYPE",
+      "MODEL_NUMBER",
+      "OPERATING_SYSTEM",
+      "PROCESSOR",
+      "PROCESSOR_MODEL",
+      "PRODUCT_SERIES",
+      "RAM",
+      "RESOLUTION",
+      "SCREEN_SIZE",
+      "SCREEN_TYPE",
+      "SOCKET",
+      "STORAGE",
+      "STORAGE_TYPE",
+      "TAG",
+      "TYPE"
+    ],
+    "textcat":[
+      "292",
+      "297",
+      "325",
+      "328"
+    ]
+  },
+  "pipeline":[
+    "tok2vec",
+    "ner",
+    "textcat"
+  ],
+  "components":[
+    "tok2vec",
+    "ner",
+    "textcat"
+  ],
+  "disabled":[
+
+  ],
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+    "cats_score_desc":"macro F",
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+    "tok2vec_loss":40691.7605534225,
+    "ner_loss":1272.720204471,
+    "textcat_loss":0.3203398252
+  },
+  "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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textcat/cfg

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+{
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+    "297",
+    "325",
+    "328"
+  ],
+  "threshold":0.0,
+  "positive_label":null
+}

textcat/model

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tok2vec/cfg

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+{
+
+}

tok2vec/model

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tokenizer

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vocab/key2row

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vocab/lookups.bin

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vocab/vectors

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vocab/vectors.cfg

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