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Jacobo
/
grc_proiel_sm

Token Classification
spaCy
Ancient Greek (to 1453)
Eval Results
Model card Files
xet
Community
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Jacobo commited on
Commit
53cd854
·
1 Parent(s): 54704b5

Update spaCy pipeline

Browse files
Files changed (14) hide show
  1. README.md +24 -24
  2. accuracy.json +136 -136
  3. attribute_ruler/patterns +0 -0
  4. config.cfg +3 -23
  5. grc_proiel_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 +145 -147
  10. morphologizer/model +1 -1
  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: 0.9602988573
17
  - task:
18
  name: POS
19
  type: token-classification
20
  metrics:
21
  - name: POS (UPOS) Accuracy
22
  type: accuracy
23
- value: 0.9567096396
24
  - task:
25
  name: MORPH
26
  type: token-classification
27
  metrics:
28
  - name: Morph (UFeats) Accuracy
29
  type: accuracy
30
- value: 0.874890126
31
  - task:
32
  name: LEMMA
33
  type: token-classification
34
  metrics:
35
  - name: Lemma Accuracy
36
  type: accuracy
37
- value: 0.9265309112
38
  - task:
39
  name: UNLABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Unlabeled Attachment Score (UAS)
43
  type: f_score
44
- value: 0.7571784354
45
  - task:
46
  name: LABELED_DEPENDENCIES
47
  type: token-classification
48
  metrics:
49
  - name: Labeled Attachment Score (LAS)
50
  type: f_score
51
- value: 0.7027541752
52
  - task:
53
  name: SENTS
54
  type: token-classification
55
  metrics:
56
  - name: Sentences F-Score
57
  type: f_score
58
- value: 0.5178571429
59
  ---
60
  | Feature | Description |
61
  | --- | --- |
62
  | **Name** | `grc_proiel_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` | 95.67 |
91
- | `MORPH_ACC` | 87.49 |
92
- | `TAG_ACC` | 96.03 |
93
- | `DEP_UAS` | 75.72 |
94
- | `DEP_LAS` | 70.28 |
95
- | `SENTS_P` | 49.68 |
96
- | `SENTS_R` | 54.07 |
97
- | `SENTS_F` | 51.79 |
98
- | `LEMMA_ACC` | 92.65 |
99
- | `TOK2VEC_LOSS` | 3625989.38 |
100
- | `MORPHOLOGIZER_LOSS` | 260805.91 |
101
- | `TAGGER_LOSS` | 82647.60 |
102
- | `PARSER_LOSS` | 2809976.88 |
 
13
  metrics:
14
  - name: TAG (XPOS) Accuracy
15
  type: accuracy
16
+ value: 0.9605186053
17
  - task:
18
  name: POS
19
  type: token-classification
20
  metrics:
21
  - name: POS (UPOS) Accuracy
22
  type: accuracy
23
+ value: 0.9557573982
24
  - task:
25
  name: MORPH
26
  type: token-classification
27
  metrics:
28
  - name: Morph (UFeats) Accuracy
29
  type: accuracy
30
+ value: 0.8745238793
31
  - task:
32
  name: LEMMA
33
  type: token-classification
34
  metrics:
35
  - name: Lemma Accuracy
36
  type: accuracy
37
+ value: 0.966891298
38
  - task:
39
  name: UNLABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Unlabeled Attachment Score (UAS)
43
  type: f_score
44
+ value: 0.7632581307
45
  - task:
46
  name: LABELED_DEPENDENCIES
47
  type: token-classification
48
  metrics:
49
  - name: Labeled Attachment Score (LAS)
50
  type: f_score
51
+ value: 0.706782889
52
  - task:
53
  name: SENTS
54
  type: token-classification
55
  metrics:
56
  - name: Sentences F-Score
57
  type: f_score
58
+ value: 0.5236742424
59
  ---
60
  | Feature | Description |
61
  | --- | --- |
62
  | **Name** | `grc_proiel_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` | 95.89 |
91
+ | `MORPH_ACC` | 88.10 |
92
+ | `TAG_ACC` | 96.24 |
93
+ | `DEP_UAS` | 76.22 |
94
+ | `DEP_LAS` | 70.53 |
95
+ | `SENTS_P` | 51.87 |
96
+ | `SENTS_R` | 54.37 |
97
+ | `SENTS_F` | 53.09 |
98
+ | `LEMMA_ACC` | 96.69 |
99
+ | `TOK2VEC_LOSS` | 4107659.15 |
100
+ | `MORPHOLOGIZER_LOSS` | 127942.48 |
101
+ | `TAGGER_LOSS` | 38984.64 |
102
+ | `PARSER_LOSS` | 1907099.83 |
accuracy.json CHANGED
@@ -3,81 +3,81 @@
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  "token_p":1.0,
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  "token_r":1.0,
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  "token_f":1.0,
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- "pos_acc":0.9547093285,
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- "morph_micro_p":0.9396512578,
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- "morph_micro_r":0.9344743497,
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- "morph_micro_f":0.9370556537,
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  "morph_per_feat":{
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  "Gender":{
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  "Number":{
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- "f":0.9748965221
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  },
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  "Aspect":{
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  },
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  "Mood":{
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  "Person":{
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  "Tense":{
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  },
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  "VerbForm":{
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  "Voice":{
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  },
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  },
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  "Degree":{
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  },
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  "Definite":{
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  "Poss":{
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  "p":0.875,
@@ -85,122 +85,122 @@
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  "f":0.6666666667
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  }
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  },
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- "tag_acc":0.9568123779,
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- "sents_p":0.4986595174,
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@@ -213,14 +213,19 @@
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@@ -228,19 +233,14 @@
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  "f":0.0
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  "aux":{
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@@ -258,6 +258,6 @@
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  }
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  },
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- "lemma_acc":0.9247408743,
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- "speed":6887.5650416149
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  }
 
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  "token_f":1.0,
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