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en_core_web_md

Token Classification
spaCy
English
Eval Results
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osanseviero HF staff commited on
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1d33edc
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1 Parent(s): b7db18e

Update spaCy pipeline

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Files changed (16) hide show
  1. README.md +38 -19
  2. accuracy.json +204 -201
  3. attribute_ruler/patterns +0 -0
  4. config.cfg +29 -31
  5. en_core_web_md-any-py3-none-any.whl +2 -2
  6. meta.json +207 -204
  7. ner/model +2 -2
  8. parser/model +1 -1
  9. senter/cfg +1 -1
  10. senter/model +2 -2
  11. tagger/cfg +2 -1
  12. tagger/model +1 -1
  13. tok2vec/model +2 -2
  14. tokenizer +0 -0
  15. vocab/strings.json +2 -2
  16. vocab/vectors.cfg +3 -0
README.md CHANGED
@@ -14,47 +14,47 @@ model-index:
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
- value: 0.853733758
18
  - name: NER Recall
19
  type: recall
20
- value: 0.8456530449
21
  - name: NER F Score
22
  type: f_score
23
- value: 0.8496741892
24
  - task:
25
  name: POS
26
  type: token-classification
27
  metrics:
28
  - name: POS Accuracy
29
  type: accuracy
30
- value: 0.9727831973
31
  - task:
32
  name: SENTER
33
  type: token-classification
34
  metrics:
35
  - name: SENTER Precision
36
  type: precision
37
- value: 0.9049104721
38
  - name: SENTER Recall
39
  type: recall
40
- value: 0.8801372122
41
  - name: SENTER F Score
42
  type: f_score
43
- value: 0.8923519379
44
  - task:
45
  name: UNLABELED_DEPENDENCIES
46
  type: token-classification
47
  metrics:
48
  - name: Unlabeled Dependencies Accuracy
49
  type: accuracy
50
- value: 0.9186878782
51
  - task:
52
  name: LABELED_DEPENDENCIES
53
  type: token-classification
54
  metrics:
55
  - name: Labeled Dependencies Accuracy
56
  type: accuracy
57
- value: 0.9186878782
58
  ---
59
  ### Details: https://spacy.io/models/en#en_core_web_md
60
 
@@ -63,8 +63,8 @@ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
63
  | Feature | Description |
64
  | --- | --- |
65
  | **Name** | `en_core_web_md` |
66
- | **Version** | `3.1.0` |
67
- | **spaCy** | `>=3.1.0,<3.2.0` |
68
  | **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
69
  | **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
70
  | **Vectors** | 684830 keys, 20000 unique vectors (300 dimensions) |
@@ -72,16 +72,35 @@ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
72
  | **License** | `MIT` |
73
  | **Author** | [Explosion](https://explosion.ai) |
74
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
75
  ### Accuracy
 
76
  | Type | Score |
77
  | --- | --- |
78
  | `TOKEN_ACC` | 99.93 |
79
- | `TAG_ACC` | 97.28 |
 
 
 
 
 
 
80
  | `DEP_UAS` | 91.87 |
81
- | `DEP_LAS` | 90.05 |
82
- | `ENTS_P` | 85.37 |
83
- | `ENTS_R` | 84.57 |
84
- | `ENTS_F` | 84.97 |
85
- | `SENTS_P` | 90.49 |
86
- | `SENTS_R` | 88.01 |
87
- | `SENTS_F` | 89.24 |
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.8531330602
18
  - name: NER Recall
19
  type: recall
20
+ value: 0.8448016827
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.8489469314
24
  - task:
25
  name: POS
26
  type: token-classification
27
  metrics:
28
  - name: POS Accuracy
29
  type: accuracy
30
+ value: 0.9736958159
31
  - task:
32
  name: SENTER
33
  type: token-classification
34
  metrics:
35
  - name: SENTER Precision
36
  type: precision
37
+ value: 0.9144345238
38
  - name: SENTER Recall
39
  type: recall
40
+ value: 0.8918134442
41
  - name: SENTER F Score
42
  type: f_score
43
+ value: 0.9029823331
44
  - task:
45
  name: UNLABELED_DEPENDENCIES
46
  type: token-classification
47
  metrics:
48
  - name: Unlabeled Dependencies Accuracy
49
  type: accuracy
50
+ value: 0.9186827918
51
  - task:
52
  name: LABELED_DEPENDENCIES
53
  type: token-classification
54
  metrics:
55
  - name: Labeled Dependencies Accuracy
56
  type: accuracy
57
+ value: 0.9186827918
58
  ---
59
  ### Details: https://spacy.io/models/en#en_core_web_md
60
 
 
63
  | Feature | Description |
64
  | --- | --- |
65
  | **Name** | `en_core_web_md` |
66
+ | **Version** | `3.2.0` |
67
+ | **spaCy** | `>=3.2.0,<3.3.0` |
68
  | **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
69
  | **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
70
  | **Vectors** | 684830 keys, 20000 unique vectors (300 dimensions) |
 
72
  | **License** | `MIT` |
73
  | **Author** | [Explosion](https://explosion.ai) |
74
 
75
+ ### Label Scheme
76
+
77
+ <details>
78
+
79
+ <summary>View label scheme (114 labels for 4 components)</summary>
80
+
81
+ | Component | Labels |
82
+ | --- | --- |
83
+ | **`tagger`** | `$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `ADD`, `AFX`, `CC`, `CD`, `DT`, `EX`, `FW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `LS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, ```` |
84
+ | **`parser`** | `ROOT`, `acl`, `acomp`, `advcl`, `advmod`, `agent`, `amod`, `appos`, `attr`, `aux`, `auxpass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `csubj`, `csubjpass`, `dative`, `dep`, `det`, `dobj`, `expl`, `intj`, `mark`, `meta`, `neg`, `nmod`, `npadvmod`, `nsubj`, `nsubjpass`, `nummod`, `oprd`, `parataxis`, `pcomp`, `pobj`, `poss`, `preconj`, `predet`, `prep`, `prt`, `punct`, `quantmod`, `relcl`, `xcomp` |
85
+ | **`senter`** | `I`, `S` |
86
+ | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
87
+
88
+ </details>
89
+
90
  ### Accuracy
91
+
92
  | Type | Score |
93
  | --- | --- |
94
  | `TOKEN_ACC` | 99.93 |
95
+ | `TOKEN_P` | 99.57 |
96
+ | `TOKEN_R` | 99.58 |
97
+ | `TOKEN_F` | 99.57 |
98
+ | `TAG_ACC` | 97.37 |
99
+ | `SENTS_P` | 91.44 |
100
+ | `SENTS_R` | 89.18 |
101
+ | `SENTS_F` | 90.30 |
102
  | `DEP_UAS` | 91.87 |
103
+ | `DEP_LAS` | 90.07 |
104
+ | `ENTS_P` | 85.31 |
105
+ | `ENTS_R` | 84.48 |
106
+ | `ENTS_F` | 84.89 |
 
 
 
accuracy.json CHANGED
@@ -1,327 +1,330 @@
1
  {
2
  "token_acc": 0.9993053983,
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- "tag_acc": 0.9727831973,
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- "dep_uas": 0.9186878782,
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- "dep_las": 0.9005160534,
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- "ents_p": 0.853733758,
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- "ents_r": 0.8456530449,
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- "ents_f": 0.8496741892,
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- "sents_p": 0.9049104721,
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- "sents_r": 0.8801372122,
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- "sents_f": 0.8923519379,
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- "speed": 9590.7931710533,
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  "dep_las_per_type": {
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  "prep": {
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- "p": 0.8555038992,
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- "r": 0.865793967,
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- "f": 0.8606181756
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  },
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  "det": {
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- "p": 0.9787355385,
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- "r": 0.9796134714,
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- "f": 0.9791743082
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  },
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  "pobj": {
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- "p": 0.9604187748,
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- "r": 0.9690555665,
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- "f": 0.9647178405
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  },
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  "nsubj": {
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- "p": 0.9590076472,
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- "r": 0.9450164294,
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- "f": 0.9519606329
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  },
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  "aux": {
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- "p": 0.9815061794,
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- "r": 0.9827294578,
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- "f": 0.9821174377
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  },
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- "p": 0.8544032299,
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- "r": 0.8546188794,
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- "f": 0.854511041
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  },
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  "relcl": {
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- "p": 0.762561925,
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- "r": 0.7819303338,
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- "f": 0.7721246865
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  },
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  "root": {
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- "p": 0.9166100774,
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- "r": 0.8904281285,
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- "f": 0.9033294295
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  },
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  "xcomp": {
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- "p": 0.8850493653,
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- "r": 0.9009332376,
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- "f": 0.8929206688
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  },
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  "amod": {
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- "p": 0.9191229098,
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- "r": 0.9151927438,
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- "f": 0.9171536164
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  },
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  "compound": {
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- "p": 0.9215718695,
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- "r": 0.9312207619,
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- "f": 0.9263711911
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  },
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  "poss": {
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- "p": 0.976056338,
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  "r": 0.9764492754,
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- "f": 0.9762527672
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  },
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  "ccomp": {
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- "p": 0.7681402723,
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- "r": 0.8386965377,
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- "f": 0.8018693409
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  },
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  "attr": {
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- "p": 0.9009700889,
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- "r": 0.9373423045,
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- "f": 0.9187963726
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  },
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  "case": {
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- "p": 0.9787654321,
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  "r": 0.991991992,
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- "f": 0.9853343276
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  },
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  "mark": {
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- "p": 0.9043708609,
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- "r": 0.9046104928,
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- "f": 0.904490661
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  },
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  "intj": {
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- "p": 0.6716891356,
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- "r": 0.6205128205,
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- "f": 0.6450875857
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  },
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  "advcl": {
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- "p": 0.668953252,
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- "r": 0.6630571644,
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- "f": 0.6659921588
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  },
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  "cc": {
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- "p": 0.8354582632,
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- "r": 0.8307618706,
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- "f": 0.8331034483
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  },
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  "neg": {
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- "p": 0.9481296758,
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- "r": 0.9538384345,
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- "f": 0.9509754877
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  },
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  "conj": {
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- "p": 0.763488544,
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- "r": 0.7802114804,
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- "f": 0.7717594322
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  },
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  "nsubjpass": {
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- "p": 0.923991727,
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- "r": 0.9164102564,
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- "f": 0.9201853759
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  },
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  "auxpass": {
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- "p": 0.9489342806,
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- "r": 0.9735763098,
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- "f": 0.961097369
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  },
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  "dobj": {
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- "p": 0.9222507588,
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- "r": 0.9442983505,
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  },
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  "nummod": {
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- "p": 0.9328073301,
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  },
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  "npadvmod": {
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- "p": 0.7844106464,
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  },
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  "prt": {
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- "p": 0.816072908,
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- "r": 0.8826164875,
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- "f": 0.8480413259
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  },
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  "pcomp": {
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- "p": 0.8836720392,
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- "r": 0.8830532213,
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- "f": 0.8833625219
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  },
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  "expl": {
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- "p": 0.9809322034,
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  "r": 0.9914346895,
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- "f": 0.9861554846
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  },
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  "acl": {
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- "p": 0.7393586006,
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- "r": 0.6917621386,
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- "f": 0.7147688839
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  },
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  "agent": {
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- "p": 0.9043478261,
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- "r": 0.9318996416,
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- "f": 0.9179170344
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  },
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  "dative": {
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- "p": 0.7763496144,
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- "r": 0.6926605505,
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- "f": 0.7321212121
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  },
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  "acomp": {
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- "p": 0.9131627057,
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- "r": 0.906122449,
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- "f": 0.9096289552
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  },
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  "dep": {
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- "p": 0.3927125506,
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- "r": 0.1574675325,
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- "f": 0.224797219
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  },
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  "csubj": {
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- "p": 0.6436781609,
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- "r": 0.6627218935,
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- "f": 0.6530612245
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  },
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  "quantmod": {
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- "p": 0.8633093525,
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- "r": 0.7798537774,
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- "f": 0.8194622279
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  },
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  "nmod": {
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- "p": 0.7863599014,
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- "r": 0.5831809872,
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- "f": 0.6696990903
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  },
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  "appos": {
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- "p": 0.6757117438,
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- "r": 0.6590021692,
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- "f": 0.6672523611
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  },
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  "predet": {
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- "p": 0.8582995951,
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- "r": 0.9098712446,
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- "f": 0.8833333333
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  },
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  "preconj": {
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- "p": 0.5333333333,
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- "r": 0.6511627907,
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- "f": 0.5863874346
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  },
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  "oprd": {
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- "p": 0.8266666667,
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- "r": 0.7402985075,
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- "f": 0.7811023622
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  },
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  "parataxis": {
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- "r": 0.4880694143,
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- "f": 0.5447941889
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  },
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  "meta": {
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- "r": 0.3653846154,
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- "f": 0.5205479452
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  },
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  "csubjpass": {
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- "p": 0.625,
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- "r": 0.8333333333,
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- "f": 0.7142857143
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  }
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  },
 
 
 
235
  "ents_per_type": {
236
  "DATE": {
237
- "p": 0.8675308252,
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- "r": 0.8711111111,
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- "f": 0.8693172818
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  },
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  "GPE": {
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- "p": 0.9202037351,
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  "r": 0.9071129707,
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- "f": 0.9136114623
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  },
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  "ORDINAL": {
247
- "p": 0.7936962751,
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- "r": 0.8602484472,
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- "f": 0.825633383
 
 
 
 
 
250
  },
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  "ORG": {
252
- "p": 0.8129760967,
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- "r": 0.8205196182,
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- "f": 0.8167304394
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  },
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  "QUANTITY": {
257
- "p": 0.8082191781,
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- "r": 0.6483516484,
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- "f": 0.7195121951
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- },
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- "LOC": {
262
- "p": 0.6907216495,
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- "r": 0.6401273885,
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- "f": 0.6644628099
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  },
266
  "CARDINAL": {
267
- "p": 0.8169897377,
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- "r": 0.8519619501,
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- "f": 0.8341094296
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- },
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- "PERSON": {
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- "p": 0.8785310734,
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- "r": 0.9135117493,
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- "f": 0.89568
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  },
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  "NORP": {
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- "p": 0.9040322581,
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- "r": 0.8968,
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- "f": 0.9004016064
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  },
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- "PRODUCT": {
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- "p": 0.6276595745,
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- "r": 0.2796208531,
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- "f": 0.3868852459
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  },
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  "FAC": {
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- "p": 0.4297520661,
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- "r": 0.4,
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- "f": 0.4143426295
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- },
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- "MONEY": {
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- "p": 0.9168674699,
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- "r": 0.8984651712,
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- "f": 0.9075730471
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  },
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  "TIME": {
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- "p": 0.7267267267,
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- "r": 0.7076023392,
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- "f": 0.717037037
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  },
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- "WORK_OF_ART": {
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- "p": 0.4122137405,
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- "r": 0.2783505155,
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- "f": 0.3323076923
 
 
 
 
 
305
  },
306
  "EVENT": {
307
- "p": 0.6162790698,
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- "r": 0.3045977011,
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- "f": 0.4076923077
 
 
 
 
 
310
  },
311
  "LAW": {
312
- "p": 0.4655172414,
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- "r": 0.421875,
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- "f": 0.4426229508
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  },
316
  "PERCENT": {
317
- "p": 0.9189189189,
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- "r": 0.8851454824,
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- "f": 0.9017160686
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  },
321
  "LANGUAGE": {
322
- "p": 0.7407407407,
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- "r": 0.625,
324
- "f": 0.6779661017
325
  }
326
- }
 
327
  }
 
1
  {
2
  "token_acc": 0.9993053983,
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+ "token_p": 0.9956742163,
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+ "token_r": 0.9957505887,
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+ "token_f": 0.9957124011,
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+ "tag_acc": 0.9736958159,
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+ "sents_p": 0.9144345238,
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+ "sents_r": 0.8918134442,
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+ "sents_f": 0.9029823331,
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+ "dep_uas": 0.9186827918,
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+ "dep_las": 0.9006556195,
 
12
  "dep_las_per_type": {
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  "prep": {
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+ "p": 0.8569122175,
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+ "r": 0.8659836843,
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+ "f": 0.8614240691
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  },
18
  "det": {
19
+ "p": 0.9770765472,
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+ "r": 0.9784310528,
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+ "f": 0.9777533309
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  },
23
  "pobj": {
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+ "p": 0.9611128429,
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+ "r": 0.968623601,
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+ "f": 0.9648536056
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  },
28
  "nsubj": {
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+ "p": 0.9594312375,
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+ "r": 0.9459802848,
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+ "f": 0.9526582837
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  },
33
  "aux": {
34
+ "p": 0.9797621161,
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+ "r": 0.9826404344,
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+ "f": 0.9811991644
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  },
38
  "advmod": {
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+ "p": 0.8561672709,
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+ "r": 0.8543664816,
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+ "f": 0.8552659283
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  },
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  "relcl": {
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+ "p": 0.765480427,
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+ "r": 0.780478955,
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+ "f": 0.772906935
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  },
48
  "root": {
49
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attribute_ruler/patterns CHANGED
Binary files a/attribute_ruler/patterns and b/attribute_ruler/patterns differ
 
config.cfg CHANGED
@@ -1,10 +1,8 @@
1
  [paths]
2
- train = "corpus/en-core-web/train.spacy"
3
- dev = "corpus/en-core-web/dev.spacy"
4
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5
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6
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7
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8
 
9
  [system]
10
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@@ -24,6 +22,7 @@ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
24
 
25
  [components.attribute_ruler]
26
  factory = "attribute_ruler"
 
27
  validate = false
28
 
29
  [components.lemmatizer]
@@ -31,11 +30,13 @@ factory = "lemmatizer"
31
  mode = "rule"
32
  model = null
33
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34
 
35
  [components.ner]
36
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37
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38
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39
  update_with_oracle_cut_size = 100
40
 
41
  [components.ner.model]
@@ -53,8 +54,8 @@ nO = null
53
  [components.ner.model.tok2vec.embed]
54
  @architectures = "spacy.MultiHashEmbed.v2"
55
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56
- attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
57
- rows = [5000,2500,2500,2500]
58
  include_static_vectors = true
59
 
60
  [components.ner.model.tok2vec.encode]
@@ -69,6 +70,7 @@ factory = "parser"
69
  learn_tokens = false
70
  min_action_freq = 30
71
  moves = null
 
72
  update_with_oracle_cut_size = 100
73
 
74
  [components.parser.model]
@@ -87,6 +89,8 @@ upstream = "tok2vec"
87
 
88
  [components.senter]
89
  factory = "senter"
 
 
90
 
91
  [components.senter.model]
92
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@@ -98,8 +102,8 @@ nO = null
98
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99
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100
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101
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102
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103
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104
 
105
  [components.senter.model.tok2vec.encode]
@@ -111,6 +115,8 @@ maxout_pieces = 2
111
 
112
  [components.tagger]
113
  factory = "tagger"
 
 
114
 
115
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116
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@@ -130,8 +136,8 @@ factory = "tok2vec"
130
  [components.tok2vec.model.embed]
131
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132
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133
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134
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135
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136
 
137
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@@ -145,27 +151,19 @@ maxout_pieces = 3
145
 
146
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147
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148
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149
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150
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151
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152
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153
 
154
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155
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156
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157
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158
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159
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160
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161
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162
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163
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164
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165
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166
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167
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168
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169
 
170
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171
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@@ -196,9 +194,8 @@ compound = 1.001
196
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197
 
198
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199
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200
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201
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202
 
203
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204
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@@ -219,16 +216,17 @@ dep_las_per_type = null
219
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220
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223
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224
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227
 
228
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229
 
230
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231
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232
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233
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234
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1
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2
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4
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5
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6
 
7
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8
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22
 
23
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24
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25
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26
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27
 
28
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30
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31
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32
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33
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35
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36
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38
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40
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41
 
42
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54
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55
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56
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57
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58
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61
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70
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71
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72
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73
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75
 
76
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90
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91
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92
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93
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94
 
95
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96
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102
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103
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104
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105
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106
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107
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108
 
109
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115
 
116
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117
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118
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119
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120
 
121
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122
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136
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137
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138
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139
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140
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141
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142
 
143
  [components.tok2vec.model.encode]
 
151
 
152
  [corpora.dev]
153
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154
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155
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156
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157
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158
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159
 
160
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161
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162
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163
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164
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166
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167
 
168
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169
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194
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195
 
196
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197
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198
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199
 
200
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201
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216
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226
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228
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229
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230
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231
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232
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6
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