Jacobo commited on
Commit
6253532
1 Parent(s): 8ef62f0

Update spaCy pipeline

Browse files
README.md CHANGED
@@ -7,63 +7,76 @@ language:
7
  model-index:
8
  - name: grc_perseus_sm
9
  results:
 
 
 
 
 
 
 
 
 
 
 
 
 
10
  - task:
11
  name: TAG
12
  type: token-classification
13
  metrics:
14
  - name: TAG (XPOS) Accuracy
15
  type: accuracy
16
- value: 0.895328876
17
  - task:
18
  name: POS
19
  type: token-classification
20
  metrics:
21
  - name: POS (UPOS) Accuracy
22
  type: accuracy
23
- value: 0.8915542906
24
  - task:
25
  name: MORPH
26
  type: token-classification
27
  metrics:
28
  - name: Morph (UFeats) Accuracy
29
  type: accuracy
30
- value: 0.8344251186
31
  - task:
32
  name: LEMMA
33
  type: token-classification
34
  metrics:
35
  - name: Lemma Accuracy
36
  type: accuracy
37
- value: 0.9732806324
38
  - task:
39
  name: UNLABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Unlabeled Attachment Score (UAS)
43
  type: f_score
44
- value: 0.659948986
45
  - task:
46
  name: LABELED_DEPENDENCIES
47
  type: token-classification
48
  metrics:
49
  - name: Labeled Attachment Score (LAS)
50
  type: f_score
51
- value: 0.5802671785
52
  - task:
53
  name: SENTS
54
  type: token-classification
55
  metrics:
56
  - name: Sentences F-Score
57
  type: f_score
58
- value: 0.9851138354
59
  ---
60
  | Feature | Description |
61
  | --- | --- |
62
  | **Name** | `grc_perseus_sm` |
63
- | **Version** | `3.6.0` |
64
- | **spaCy** | `>=3.6.0,<3.7.0` |
65
- | **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler` |
66
- | **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler` |
67
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
68
  | **Sources** | n/a |
69
  | **License** | n/a |
@@ -87,16 +100,21 @@ model-index:
87
 
88
  | Type | Score |
89
  | --- | --- |
90
- | `POS_ACC` | 89.16 |
91
- | `MORPH_ACC` | 83.44 |
92
- | `TAG_ACC` | 89.53 |
93
- | `DEP_UAS` | 65.99 |
94
- | `DEP_LAS` | 58.03 |
95
- | `SENTS_P` | 98.08 |
96
- | `SENTS_R` | 98.94 |
97
- | `SENTS_F` | 98.51 |
98
- | `LEMMA_ACC` | 97.33 |
99
- | `TOK2VEC_LOSS` | 3658834.70 |
100
- | `MORPHOLOGIZER_LOSS` | 154041.87 |
101
- | `TAGGER_LOSS` | 65232.41 |
102
- | `PARSER_LOSS` | 1540508.40 |
 
 
 
 
 
 
7
  model-index:
8
  - name: grc_perseus_sm
9
  results:
10
+ - task:
11
+ name: NER
12
+ type: token-classification
13
+ metrics:
14
+ - name: NER Precision
15
+ type: precision
16
+ value: 0.9176029963
17
+ - name: NER Recall
18
+ type: recall
19
+ value: 0.9007352941
20
+ - name: NER F Score
21
+ type: f_score
22
+ value: 0.9090909091
23
  - task:
24
  name: TAG
25
  type: token-classification
26
  metrics:
27
  - name: TAG (XPOS) Accuracy
28
  type: accuracy
29
+ value: 0.8882363571
30
  - task:
31
  name: POS
32
  type: token-classification
33
  metrics:
34
  - name: POS (UPOS) Accuracy
35
  type: accuracy
36
+ value: 0.8861783109
37
  - task:
38
  name: MORPH
39
  type: token-classification
40
  metrics:
41
  - name: Morph (UFeats) Accuracy
42
  type: accuracy
43
+ value: 0.8206541381
44
  - task:
45
  name: LEMMA
46
  type: token-classification
47
  metrics:
48
  - name: Lemma Accuracy
49
  type: accuracy
50
+ value: 0.9720158103
51
  - task:
52
  name: UNLABELED_DEPENDENCIES
53
  type: token-classification
54
  metrics:
55
  - name: Unlabeled Attachment Score (UAS)
56
  type: f_score
57
+ value: 0.6284243984
58
  - task:
59
  name: LABELED_DEPENDENCIES
60
  type: token-classification
61
  metrics:
62
  - name: Labeled Attachment Score (LAS)
63
  type: f_score
64
+ value: 0.5479037385
65
  - task:
66
  name: SENTS
67
  type: token-classification
68
  metrics:
69
  - name: Sentences F-Score
70
  type: f_score
71
+ value: 0.9789315275
72
  ---
73
  | Feature | Description |
74
  | --- | --- |
75
  | **Name** | `grc_perseus_sm` |
76
+ | **Version** | `3.7` |
77
+ | **spaCy** | `>=3.7.2,<3.8.0` |
78
+ | **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
79
+ | **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
80
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
81
  | **Sources** | n/a |
82
  | **License** | n/a |
 
100
 
101
  | Type | Score |
102
  | --- | --- |
103
+ | `POS_ACC` | 62.98 |
104
+ | `MORPH_ACC` | 55.76 |
105
+ | `TAG_ACC` | 62.11 |
106
+ | `DEP_UAS` | 40.76 |
107
+ | `DEP_LAS` | 30.82 |
108
+ | `SENTS_P` | 74.67 |
109
+ | `SENTS_R` | 85.58 |
110
+ | `SENTS_F` | 79.75 |
111
+ | `LEMMA_ACC` | 97.20 |
112
+ | `ENTS_F` | 0.00 |
113
+ | `ENTS_P` | 0.00 |
114
+ | `ENTS_R` | 0.00 |
115
+ | `ENTS_PER_TYPE` | 0.00 |
116
+ | `TOK2VEC_LOSS` | 8211614.18 |
117
+ | `MORPHOLOGIZER_LOSS` | 12275264.88 |
118
+ | `TAGGER_LOSS` | 10186789.63 |
119
+ | `PARSER_LOSS` | 14660376.59 |
120
+ | `NER_LOSS` | 0.00 |
accuracy.json CHANGED
@@ -3,154 +3,154 @@
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  "token_p":0.9983307102,
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  "token_r":0.9987117706,
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  "token_f":0.998521204,
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- "morph_acc":0.8186026534,
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- "morph_micro_f":0.8753800581,
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  "morph_per_feat":{
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- "lemma_acc":0.8996445695,
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- "speed":5487.9074486941
 
 
 
 
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  }
 
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  "token_p":0.9983307102,
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  "token_r":0.9987117706,
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  "token_f":0.998521204,
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+ "pos_acc":0.8696938605,
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+ "morph_acc":0.8123508638,
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  "morph_per_feat":{
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  "Gender":{
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+ "lemma_acc":0.9004079101,
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+ "ents_p":null,
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  }
config.cfg CHANGED
@@ -1,6 +1,6 @@
1
  [paths]
2
- train = "corpus/train/grc_perseus-ud-train.spacy"
3
- dev = "corpus/dev/grc_perseus-ud-dev.spacy"
4
  vectors = null
5
  init_tok2vec = null
6
 
@@ -10,13 +10,14 @@ seed = 0
10
 
11
  [nlp]
12
  lang = "grc"
13
- pipeline = ["tok2vec","morphologizer","tagger","parser","lemmatizer","attribute_ruler"]
14
  batch_size = 128
15
  disabled = []
16
  before_creation = null
17
  after_creation = null
18
  after_pipeline_creation = null
19
  tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
 
20
 
21
  [components]
22
 
@@ -65,6 +66,27 @@ normalize = false
65
  width = ${components.tok2vec.model.encode.width}
66
  upstream = "tok2vec"
67
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
68
  [components.parser]
69
  factory = "parser"
70
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@@ -192,17 +214,21 @@ eps = 0.00000001
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