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spacy
/
en_core_web_trf

Token Classification
spaCy
English
Eval Results
Model card Files
osanseviero commited on
Commit
796dea5
•
1 Parent(s): 4d9c899

Update spaCy pipeline

Browse files
Files changed (20) hide show
  1. README.md +23 -20
  2. accuracy.json +195 -192
  3. attribute_ruler/patterns +0 -0
  4. config.cfg +22 -20
  5. en_core_web_trf-any-py3-none-any.whl +2 -2
  6. meta.json +199 -196
  7. ner/model +0 -0
  8. parser/model +0 -0
  9. tagger/cfg +2 -1
  10. tagger/model +0 -0
  11. tokenizer +0 -0
  12. transformer/{model/pytorch_model.bin → model} +2 -2
  13. transformer/model/config.json +0 -26
  14. transformer/model/merges.txt +0 -0
  15. transformer/model/special_tokens_map.json +0 -1
  16. transformer/model/tokenizer.json +0 -0
  17. transformer/model/tokenizer_config.json +0 -1
  18. transformer/model/vocab.json +0 -0
  19. vocab/strings.json +2 -2
  20. 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: 0.898632744
18
  - name: NER Recall
19
  type: recall
20
- value: 0.8985877404
21
  - name: NER F Score
22
  type: f_score
23
- value: 0.8986102416
24
  - task:
25
  name: POS
26
  type: token-classification
27
  metrics:
28
  - name: POS Accuracy
29
  type: accuracy
30
- value: 0.9779597496
31
  - task:
32
  name: SENTER
33
  type: token-classification
34
  metrics:
35
  - name: SENTER Precision
36
  type: precision
37
- value: 0.9533882851
38
  - name: SENTER Recall
39
  type: recall
40
- value: 0.8621940761
41
  - name: SENTER F Score
42
  type: f_score
43
- value: 0.9055009007
44
  - task:
45
  name: UNLABELED_DEPENDENCIES
46
  type: token-classification
47
  metrics:
48
  - name: Unlabeled Dependencies Accuracy
49
  type: accuracy
50
- value: 0.9529693229
51
  - task:
52
  name: LABELED_DEPENDENCIES
53
  type: token-classification
54
  metrics:
55
  - name: Labeled Dependencies Accuracy
56
  type: accuracy
57
- value: 0.9529693229
58
  ---
59
  ### Details: https://spacy.io/models/en#en_core_web_trf
60
 
@@ -63,8 +63,8 @@ English transformer pipeline (roberta-base). Components: transformer, tagger, pa
63
  | Feature | Description |
64
  | --- | --- |
65
  | **Name** | `en_core_web_trf` |
66
- | **Version** | `3.1.0` |
67
- | **spaCy** | `>=3.1.0,<3.2.0` |
68
  | **Default Pipeline** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
69
  | **Components** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
70
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
@@ -91,12 +91,15 @@ English transformer pipeline (roberta-base). Components: transformer, tagger, pa
91
  | Type | Score |
92
  | --- | --- |
93
  | `TOKEN_ACC` | 99.93 |
94
- | `TAG_ACC` | 97.80 |
95
- | `DEP_UAS` | 95.30 |
96
- | `DEP_LAS` | 93.94 |
97
- | `ENTS_P` | 89.86 |
98
- | `ENTS_R` | 89.86 |
99
- | `ENTS_F` | 89.86 |
100
- | `SENTS_P` | 95.34 |
101
- | `SENTS_R` | 86.22 |
102
- | `SENTS_F` | 90.55 |
 
 
 
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.898708838
18
  - name: NER Recall
19
  type: recall
20
+ value: 0.8993389423
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.8990237797
24
  - task:
25
  name: POS
26
  type: token-classification
27
  metrics:
28
  - name: POS Accuracy
29
  type: accuracy
30
+ value: 0.9780627094
31
  - task:
32
  name: SENTER
33
  type: token-classification
34
  metrics:
35
  - name: SENTER Precision
36
  type: precision
37
+ value: 0.9568827385
38
  - name: SENTER Recall
39
  type: recall
40
+ value: 0.8666798601
41
  - name: SENTER F Score
42
  type: f_score
43
+ value: 0.9095503479
44
  - task:
45
  name: UNLABELED_DEPENDENCIES
46
  type: token-classification
47
  metrics:
48
  - name: Unlabeled Dependencies Accuracy
49
  type: accuracy
50
+ value: 0.9527056513
51
  - task:
52
  name: LABELED_DEPENDENCIES
53
  type: token-classification
54
  metrics:
55
  - name: Labeled Dependencies Accuracy
56
  type: accuracy
57
+ value: 0.9527056513
58
  ---
59
  ### Details: https://spacy.io/models/en#en_core_web_trf
60
 
 
63
  | Feature | Description |
64
  | --- | --- |
65
  | **Name** | `en_core_web_trf` |
66
+ | **Version** | `3.2.0` |
67
+ | **spaCy** | `>=3.2.0,<3.3.0` |
68
  | **Default Pipeline** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
69
  | **Components** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
70
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
 
91
  | Type | Score |
92
  | --- | --- |
93
  | `TOKEN_ACC` | 99.93 |
94
+ | `TOKEN_P` | 99.57 |
95
+ | `TOKEN_R` | 99.58 |
96
+ | `TOKEN_F` | 99.57 |
97
+ | `TAG_ACC` | 97.81 |
98
+ | `SENTS_P` | 95.69 |
99
+ | `SENTS_R` | 86.67 |
100
+ | `SENTS_F` | 90.96 |
101
+ | `DEP_UAS` | 95.27 |
102
+ | `DEP_LAS` | 93.93 |
103
+ | `ENTS_P` | 89.87 |
104
+ | `ENTS_R` | 89.93 |
105
+ | `ENTS_F` | 89.90 |
accuracy.json CHANGED
@@ -1,327 +1,330 @@
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  }
 
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25
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26
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27
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