oroszgy commited on
Commit
a635e09
1 Parent(s): cbfeb75

Update spacy pipeline to 3.4.4

Browse files
README.md CHANGED
@@ -14,70 +14,70 @@ model-index:
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
- value: 0.8691184424
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  - name: NER Recall
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  type: recall
20
- value: 0.8475738397
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  - name: NER F Score
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  type: f_score
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- value: 0.8582109479
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  - task:
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  name: TAG
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  type: token-classification
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  metrics:
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  - name: TAG (XPOS) Accuracy
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  type: accuracy
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- value: 0.9655007417
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  - task:
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  name: POS
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  type: token-classification
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  metrics:
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  - name: POS (UPOS) Accuracy
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  type: accuracy
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- value: 0.9649265515
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  - task:
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  name: MORPH
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  type: token-classification
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  metrics:
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  - name: Morph (UFeats) Accuracy
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  type: accuracy
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- value: 0.9323380228
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  - task:
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  name: LEMMA
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  type: token-classification
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  metrics:
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  - name: Lemma Accuracy
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  type: accuracy
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- value: 0.9721557746
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  - task:
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  name: UNLABELED_DEPENDENCIES
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  type: token-classification
55
  metrics:
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  - name: Unlabeled Attachment Score (UAS)
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  type: f_score
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- value: 0.817726787
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  - task:
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  name: LABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
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  - name: Labeled Attachment Score (LAS)
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  type: f_score
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- value: 0.7468226296
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  - task:
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  name: SENTS
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  type: token-classification
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  metrics:
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  - name: Sentences F-Score
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  type: f_score
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- value: 0.9799554566
73
  ---
74
  Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morphologizer, lemmatizer, parser, ner
75
 
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `hu_core_news_lg` |
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- | **Version** | `3.4.3` |
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- | **spaCy** | `>=3.4.1,<3.5.0` |
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  | **Default Pipeline** | `tok2vec`, `senter`, `tagger`, `morphologizer`, `lookup_lemmatizer`, `lemmatizer`, `lemma_smoother`, `parser`, `ner` |
82
  | **Components** | `tok2vec`, `senter`, `tagger`, `morphologizer`, `lookup_lemmatizer`, `lemmatizer`, `lemma_smoother`, `parser`, `ner` |
83
  | **Vectors** | -1 keys, 200000 unique vectors (300 dimensions) |
@@ -108,18 +108,18 @@ Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morpholog
108
  | `TOKEN_P` | 99.86 |
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  | `TOKEN_R` | 99.93 |
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  | `TOKEN_F` | 99.89 |
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- | `SENTS_P` | 98.00 |
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- | `SENTS_R` | 98.00 |
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- | `SENTS_F` | 98.00 |
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- | `TAG_ACC` | 96.55 |
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- | `POS_ACC` | 96.49 |
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- | `MORPH_ACC` | 93.23 |
117
- | `MORPH_MICRO_P` | 96.56 |
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- | `MORPH_MICRO_R` | 96.00 |
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- | `MORPH_MICRO_F` | 96.28 |
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- | `LEMMA_ACC` | 97.22 |
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- | `DEP_UAS` | 81.77 |
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- | `DEP_LAS` | 74.68 |
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- | `ENTS_P` | 86.91 |
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- | `ENTS_R` | 84.76 |
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- | `ENTS_F` | 85.82 |
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.8562160267
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  - name: NER Recall
19
  type: recall
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+ value: 0.8584739803
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  - name: NER F Score
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  type: f_score
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+ value: 0.8573435168
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  - task:
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  name: TAG
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  type: token-classification
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  metrics:
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  - name: TAG (XPOS) Accuracy
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  type: accuracy
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+ value: 0.9677481099
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  - task:
32
  name: POS
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  type: token-classification
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  metrics:
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  - name: POS (UPOS) Accuracy
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  type: accuracy
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+ value: 0.9688965451
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  - task:
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  name: MORPH
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  type: token-classification
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  metrics:
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  - name: Morph (UFeats) Accuracy
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  type: accuracy
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+ value: 0.9386544167
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  - task:
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  name: LEMMA
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  type: token-classification
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  metrics:
49
  - name: Lemma Accuracy
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  type: accuracy
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+ value: 0.9746435748
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  - task:
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  name: UNLABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
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  - name: Unlabeled Attachment Score (UAS)
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  type: f_score
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+ value: 0.8253255501
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  - task:
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  name: LABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
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  - name: Labeled Attachment Score (LAS)
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  type: f_score
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+ value: 0.7556129322
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  - task:
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  name: SENTS
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  type: token-classification
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  metrics:
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  - name: Sentences F-Score
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  type: f_score
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+ value: 0.9854748603
73
  ---
74
  Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morphologizer, lemmatizer, parser, ner
75
 
76
  | Feature | Description |
77
  | --- | --- |
78
  | **Name** | `hu_core_news_lg` |
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+ | **Version** | `3.4.4` |
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+ | **spaCy** | `>=3.4.0,<3.5.0` |
81
  | **Default Pipeline** | `tok2vec`, `senter`, `tagger`, `morphologizer`, `lookup_lemmatizer`, `lemmatizer`, `lemma_smoother`, `parser`, `ner` |
82
  | **Components** | `tok2vec`, `senter`, `tagger`, `morphologizer`, `lookup_lemmatizer`, `lemmatizer`, `lemma_smoother`, `parser`, `ner` |
83
  | **Vectors** | -1 keys, 200000 unique vectors (300 dimensions) |
 
108
  | `TOKEN_P` | 99.86 |
109
  | `TOKEN_R` | 99.93 |
110
  | `TOKEN_F` | 99.89 |
111
+ | `SENTS_P` | 98.88 |
112
+ | `SENTS_R` | 98.22 |
113
+ | `SENTS_F` | 98.55 |
114
+ | `TAG_ACC` | 96.77 |
115
+ | `POS_ACC` | 96.89 |
116
+ | `MORPH_ACC` | 93.87 |
117
+ | `MORPH_MICRO_P` | 97.02 |
118
+ | `MORPH_MICRO_R` | 96.36 |
119
+ | `MORPH_MICRO_F` | 96.69 |
120
+ | `LEMMA_ACC` | 97.46 |
121
+ | `DEP_UAS` | 82.53 |
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+ | `DEP_LAS` | 75.56 |
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+ | `ENTS_P` | 85.62 |
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+ | `ENTS_R` | 85.85 |
125
+ | `ENTS_F` | 85.73 |
config.cfg CHANGED
@@ -1,7 +1,8 @@
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  [paths]
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- parser_model = "models/hu_core_news_lg-parser-3.4.3/model-best"
3
- ner_model = "models/hu_core_news_lg-ner-3.4.3/model-best"
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- lemmatizer_lookups = "models/hu_core_news_lg-lookup-lemmatizer-3.4.3"
 
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  train = null
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  dev = null
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  vectors = null
 
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  [paths]
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+ parser_model = "models/hu_core_news_lg-parser-3.4.4/model-best"
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+ ner_model = "models/hu_core_news_lg-ner-3.4.4/model-best"
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+ lemmatizer_lookups = "models/hu_core_news_lg-lookup-lemmatizer-3.4.4"
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+ tagger_model = "models/hu_core_news_lg-tagger-3.4.4/model-best"
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  train = null
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  dev = null
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meta.json CHANGED
@@ -1,13 +1,13 @@
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  {
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  "lang":"hu",
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  "name":"core_news_lg",
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- "version":"3.4.3",
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  "description":"Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morphologizer, lemmatizer, parser, ner",
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  "author":"SzegedAI, MILAB",
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  "email":"gyorgy@orosz.link",
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  "url":"https://github.com/huspacy/huspacy",
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  "license":"cc-by-sa-4.0",
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