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Jacobo
/
grc_perseus_sm

Token Classification
spaCy
Ancient Greek (to 1453)
Eval Results
Model card Files Community
Jacobo commited on
Commit
c20efa3
•
1 Parent(s): 354f8cf

Update spaCy pipeline

Browse files
Files changed (14) hide show
  1. README.md +24 -24
  2. accuracy.json +118 -118
  3. attribute_ruler/patterns +0 -0
  4. config.cfg +3 -23
  5. grc_perseus_sm-any-py3-none-any.whl +2 -2
  6. lemmatizer/cfg +0 -0
  7. lemmatizer/model +2 -2
  8. lemmatizer/trees +2 -2
  9. meta.json +114 -116
  10. morphologizer/model +0 -0
  11. parser/model +1 -1
  12. tagger/model +0 -0
  13. tok2vec/model +1 -1
  14. vocab/strings.json +2 -2
README.md CHANGED
@@ -13,57 +13,57 @@ model-index:
13
  metrics:
14
  - name: TAG (XPOS) Accuracy
15
  type: accuracy
16
- value: 0.8956201577
17
  - task:
18
  name: POS
19
  type: token-classification
20
  metrics:
21
  - name: POS (UPOS) Accuracy
22
  type: accuracy
23
- value: 0.8900634727
24
  - task:
25
  name: MORPH
26
  type: token-classification
27
  metrics:
28
  - name: Morph (UFeats) Accuracy
29
  type: accuracy
30
- value: 0.833069799
31
  - task:
32
  name: LEMMA
33
  type: token-classification
34
  metrics:
35
  - name: Lemma Accuracy
36
  type: accuracy
37
- value: 0.9104912479
38
  - task:
39
  name: UNLABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Unlabeled Attachment Score (UAS)
43
  type: f_score
44
- value: 0.6668855274
45
  - task:
46
  name: LABELED_DEPENDENCIES
47
  type: token-classification
48
  metrics:
49
  - name: Labeled Attachment Score (LAS)
50
  type: f_score
51
- value: 0.5832828283
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** | `3.5.2` |
64
- | **spaCy** | `>=3.5.2,<3.6.0` |
65
- | **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `senter`, `lemmatizer`, `attribute_ruler` |
66
- | **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `senter`, `lemmatizer`, `attribute_ruler` |
67
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
68
  | **Sources** | n/a |
69
  | **License** | n/a |
@@ -87,16 +87,16 @@ model-index:
87
 
88
  | Type | Score |
89
  | --- | --- |
90
- | `POS_ACC` | 89.01 |
91
- | `MORPH_ACC` | 83.31 |
92
- | `TAG_ACC` | 89.56 |
93
- | `DEP_UAS` | 66.69 |
94
- | `DEP_LAS` | 58.33 |
95
- | `SENTS_P` | 98.08 |
96
- | `SENTS_R` | 98.94 |
97
- | `SENTS_F` | 98.51 |
98
- | `LEMMA_ACC` | 91.05 |
99
- | `TOK2VEC_LOSS` | 3400933.71 |
100
- | `MORPHOLOGIZER_LOSS` | 173976.78 |
101
- | `TAGGER_LOSS` | 76908.63 |
102
- | `PARSER_LOSS` | 1643447.20 |
 
13
  metrics:
14
  - name: TAG (XPOS) Accuracy
15
  type: accuracy
16
+ value: 0.8967495652
17
  - task:
18
  name: POS
19
  type: token-classification
20
  metrics:
21
  - name: POS (UPOS) Accuracy
22
  type: accuracy
23
+ value: 0.8929297493
24
  - task:
25
  name: MORPH
26
  type: token-classification
27
  metrics:
28
  - name: Morph (UFeats) Accuracy
29
  type: accuracy
30
+ value: 0.8346510052
31
  - task:
32
  name: LEMMA
33
  type: token-classification
34
  metrics:
35
  - name: Lemma Accuracy
36
  type: accuracy
37
+ value: 0.9723320158
38
  - task:
39
  name: UNLABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Unlabeled Attachment Score (UAS)
43
  type: f_score
44
+ value: 0.6605898394
45
  - task:
46
  name: LABELED_DEPENDENCIES
47
  type: token-classification
48
  metrics:
49
  - name: Labeled Attachment Score (LAS)
50
  type: f_score
51
+ value: 0.5799121345
52
  - task:
53
  name: SENTS
54
  type: token-classification
55
  metrics:
56
  - name: Sentences F-Score
57
  type: f_score
58
+ value: 0.9868421053
59
  ---
60
  | Feature | Description |
61
  | --- | --- |
62
  | **Name** | `grc_perseus_sm` |
63
+ | **Version** | `3.5.3` |
64
+ | **spaCy** | `>=3.5.3,<3.6.0` |
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
 
88
  | Type | Score |
89
  | --- | --- |
90
+ | `POS_ACC` | 89.25 |
91
+ | `MORPH_ACC` | 83.52 |
92
+ | `TAG_ACC` | 89.55 |
93
+ | `DEP_UAS` | 65.61 |
94
+ | `DEP_LAS` | 57.82 |
95
+ | `SENTS_P` | 96.53 |
96
+ | `SENTS_R` | 97.98 |
97
+ | `SENTS_F` | 97.25 |
98
+ | `LEMMA_ACC` | 97.23 |
99
+ | `TOK2VEC_LOSS` | 3135697.59 |
100
+ | `MORPHOLOGIZER_LOSS` | 245681.24 |
101
+ | `TAGGER_LOSS` | 107655.17 |
102
+ | `PARSER_LOSS` | 1960197.14 |
accuracy.json CHANGED
@@ -3,196 +3,196 @@
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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":0.8719160105,
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- "morph_acc":0.8214464673,
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- "morph_micro_p":0.8816652914,
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- "morph_micro_r":0.8722568857,
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- "morph_micro_f":0.8769358542,
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  "morph_per_feat":{
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  },
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  "Number":{
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  },
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  "Person":{
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- "f":0.8549149338
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  },
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  "Tense":{
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- "r":0.767167382,
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- "f":0.7691273363
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  },
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  "VerbForm":{
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  "Degree":{
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  }
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  "xcomp":{
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  },
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  },
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  },
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- "appos":{
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  "iobj":{
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  },
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  "nummod":{
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  }
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  },
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- "lemma_acc":0.8506476468,
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- "speed":6348.1191496176
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  }
 
3
  "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":0.8695506932,
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+ "morph_acc":0.8207587688,
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+ "morph_micro_p":0.8816986258,
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+ "morph_micro_r":0.8705075126,
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+ "morph_micro_f":0.8760673311,
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  "morph_per_feat":{
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  "Mood":{
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+ "p":0.869502175,
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  "Number":{
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  },
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  "Person":{
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  },
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  "Tense":{
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  },
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  "VerbForm":{
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+ "p":0.8925462459,
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  },
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  "Voice":{
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+ "p":0.8799346583,
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  "Case":{
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  "Gender":{
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  },
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  "Aspect":{
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  },
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  "Degree":{
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+ "p":0.3043478261,
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+ "f":0.2
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  }
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  },
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+ "tag_acc":0.8772875856,
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+ "sents_p":0.9717987805,
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+ "sents_f":0.974025974,
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+ "dep_uas":0.6452202916,
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+ "dep_las":0.5622764315,
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  "dep_las_per_type":{
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  "advmod":{
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  },
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  "nsubj":{
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  },
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  "det":{
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  "nmod":{
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  "ccomp":{
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+ "f":0.3438914027
 
 
 
 
 
154
  },
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  "dep":{
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  },
 
 
 
 
 
160
  "acl":{
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  },
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  "iobj":{
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  },
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  "discourse":{
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  },
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  "vocative":{
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  "nummod":{
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  }
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  },
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+ "lemma_acc":0.9007418716,
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  }
attribute_ruler/patterns CHANGED
Binary files a/attribute_ruler/patterns and b/attribute_ruler/patterns differ
 
config.cfg CHANGED
@@ -10,7 +10,7 @@ seed = 0
10
 
11
  [nlp]
12
  lang = "grc"
13
- pipeline = ["tok2vec","morphologizer","tagger","parser","senter","lemmatizer","attribute_ruler"]
14
  batch_size = 128
15
  disabled = []
16
  before_creation = null
@@ -86,26 +86,6 @@ nO = null
86
  width = ${components.tok2vec.model.encode.width}
87
  upstream = "tok2vec"
88
 
89
- [components.senter]
90
- factory = "senter"
91
- overwrite = false
92
- scorer = {"@scorers":"spacy.senter_scorer.v1"}
93
-
94
- [components.senter.model]
95
- @architectures = "spacy.Tagger.v2"
96
- nO = null
97
- normalize = false
98
-
99
- [components.senter.model.tok2vec]
100
- @architectures = "spacy.HashEmbedCNN.v2"
101
- pretrained_vectors = null
102
- width = 12
103
- depth = 1
104
- embed_size = 2000
105
- window_size = 1
106
- maxout_pieces = 2
107
- subword_features = true
108
-
109
  [components.tagger]
110
  factory = "tagger"
111
  neg_prefix = "!"
@@ -171,7 +151,7 @@ patience = 5000
171
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172
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