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spacy
/
pt_core_news_lg

Token Classification
spaCy
Portuguese
Eval Results
Model card Files Community
adrianeboyd commited on
Commit
d88237d
•
1 Parent(s): 1a69435

Update spaCy pipeline

Browse files
Files changed (6) hide show
  1. README.md +2 -2
  2. accuracy.json +1 -1
  3. config.cfg +1 -0
  4. meta.json +4 -4
  5. morphologizer/cfg +1 -0
  6. pt_core_news_lg-any-py3-none-any.whl +2 -2
README.md CHANGED
@@ -78,8 +78,8 @@ Portuguese pipeline optimized for CPU. Components: tok2vec, morphologizer, parse
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `pt_core_news_lg` |
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- | **Version** | `3.5.0` |
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- | **spaCy** | `>=3.5.0,<3.6.0` |
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  | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
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  | **Components** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
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  | **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
 
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `pt_core_news_lg` |
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+ | **Version** | `3.6.0` |
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+ | **spaCy** | `>=3.6.0,<3.7.0` |
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  | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
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  | **Components** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
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  | **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
accuracy.json CHANGED
@@ -299,5 +299,5 @@
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  "f": 0.7937292323
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  }
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  },
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- "speed": 9477.6456995684
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  }
 
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  "f": 0.7937292323
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  }
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  },
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+ "speed": 9330.0345272915
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  }
config.cfg CHANGED
@@ -46,6 +46,7 @@ upstream = "tok2vec"
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  [components.morphologizer]
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  factory = "morphologizer"
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  extend = false
 
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  overwrite = true
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  scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
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  [components.morphologizer]
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  factory = "morphologizer"
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  extend = false
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+ label_smoothing = 0.0
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  overwrite = true
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  scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
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meta.json CHANGED
@@ -1,14 +1,14 @@
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  {
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  "lang":"pt",
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  "name":"core_news_lg",
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- "version":"3.5.0",
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  "description":"Portuguese pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, lemmatizer (trainable_lemmatizer), senter, ner, attribute_ruler.",
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  "author":"Explosion",
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  "email":"contact@explosion.ai",
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  "url":"https://explosion.ai",
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  "license":"CC BY-SA 4.0",
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- "spacy_version":">=3.5.0,<3.6.0",
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- "spacy_git_version":"9e0322de1",
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  "vectors":{
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  "width":300,
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  "vectors":500000,
@@ -940,7 +940,7 @@
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  "f":0.7937292323
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  }
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  },
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- "speed":9477.6456995684
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  },
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  "sources":[
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  {
 
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  {
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  "lang":"pt",
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  "name":"core_news_lg",
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+ "version":"3.6.0",
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  "description":"Portuguese pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, lemmatizer (trainable_lemmatizer), senter, ner, attribute_ruler.",
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  "author":"Explosion",
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  "email":"contact@explosion.ai",
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  "url":"https://explosion.ai",
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  "license":"CC BY-SA 4.0",
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+ "spacy_version":">=3.6.0,<3.7.0",
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+ "spacy_git_version":"cb4fdc83e",
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  "vectors":{
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  "width":300,
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  "vectors":500000,
 
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  "f":0.7937292323
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  }
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  },
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+ "speed":9330.0345272915
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  },
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  "sources":[
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  {
morphologizer/cfg CHANGED
@@ -1,5 +1,6 @@
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  {
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  "extend":false,
 
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  "labels_morph":{
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  "Definite=Ind|Gender=Masc|Number=Sing|POS=DET|PronType=Art":"Definite=Ind|Gender=Masc|Number=Sing|PronType=Art",
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  "Gender=Masc|Number=Sing|POS=NOUN":"Gender=Masc|Number=Sing",
 
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  {
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  "extend":false,
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+ "label_smoothing":0.0,
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  "labels_morph":{
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  "Definite=Ind|Gender=Masc|Number=Sing|POS=DET|PronType=Art":"Definite=Ind|Gender=Masc|Number=Sing|PronType=Art",
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  "Gender=Masc|Number=Sing|POS=NOUN":"Gender=Masc|Number=Sing",
pt_core_news_lg-any-py3-none-any.whl CHANGED
@@ -1,3 +1,3 @@
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- size 568212751
 
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