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Jacobo
/
grc_proiel_sm

Token Classification
spaCy
Ancient Greek (to 1453)
Eval Results
Model card Files Community
1
Jacobo commited on
Commit
d3a8831
•
1 Parent(s): 53cd854

Update spaCy pipeline

Browse files
Files changed (14) hide show
  1. README.md +21 -21
  2. accuracy.json +144 -144
  3. attribute_ruler/patterns +0 -0
  4. config.cfg +2 -0
  5. grc_proiel_sm-any-py3-none-any.whl +2 -2
  6. lemmatizer/model +1 -1
  7. meta.json +146 -146
  8. morphologizer/cfg +1 -0
  9. morphologizer/model +1 -1
  10. parser/model +1 -1
  11. tagger/cfg +1 -0
  12. tagger/model +0 -0
  13. tok2vec/model +1 -1
  14. vocab/strings.json +2 -2
README.md CHANGED
@@ -13,55 +13,55 @@ model-index:
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) |
@@ -87,16 +87,16 @@ model-index:
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 |
 
13
  metrics:
14
  - name: TAG (XPOS) Accuracy
15
  type: accuracy
16
+ value: 0.9607383534
17
  - task:
18
  name: POS
19
  type: token-classification
20
  metrics:
21
  - name: POS (UPOS) Accuracy
22
  type: accuracy
23
+ value: 0.9580281277
24
  - task:
25
  name: MORPH
26
  type: token-classification
27
  metrics:
28
  - name: Morph (UFeats) Accuracy
29
  type: accuracy
30
+ value: 0.8734251392
31
  - task:
32
  name: LEMMA
33
  type: token-classification
34
  metrics:
35
  - name: Lemma Accuracy
36
  type: accuracy
37
+ value: 0.9656460592
38
  - task:
39
  name: UNLABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Unlabeled Attachment Score (UAS)
43
  type: f_score
44
+ value: 0.759668913
45
  - task:
46
  name: LABELED_DEPENDENCIES
47
  type: token-classification
48
  metrics:
49
  - name: Labeled Attachment Score (LAS)
50
  type: f_score
51
+ value: 0.70443891
52
  - task:
53
  name: SENTS
54
  type: token-classification
55
  metrics:
56
  - name: Sentences F-Score
57
  type: f_score
58
+ value: 0.5297098111
59
  ---
60
  | Feature | Description |
61
  | --- | --- |
62
  | **Name** | `grc_proiel_sm` |
63
  | **Version** | `3.5.3` |
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) |
 
87
 
88
  | Type | Score |
89
  | --- | --- |
90
+ | `POS_ACC` | 95.80 |
91
+ | `MORPH_ACC` | 87.34 |
92
+ | `TAG_ACC` | 96.07 |
93
+ | `DEP_UAS` | 75.97 |
94
+ | `DEP_LAS` | 70.44 |
95
+ | `SENTS_P` | 49.91 |
96
+ | `SENTS_R` | 56.43 |
97
+ | `SENTS_F` | 52.97 |
98
+ | `LEMMA_ACC` | 96.56 |
99
+ | `TOK2VEC_LOSS` | 3641174.13 |
100
+ | `MORPHOLOGIZER_LOSS` | 196842.81 |
101
+ | `TAGGER_LOSS` | 59134.79 |
102
+ | `PARSER_LOSS` | 2326839.78 |
accuracy.json CHANGED
@@ -3,194 +3,194 @@
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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":0.9522307346,
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- "morph_acc":0.8679585399,
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- "morph_micro_p":0.9386159703,
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- "morph_micro_r":0.9353097905,
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  "Gender":{
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  },
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  "Aspect":{
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- "f":0.8816297857
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  },
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  "Mood":{
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  },
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  "Voice":{
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  },
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  "Degree":{
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  }
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  },
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- "tag_acc":0.95598618,
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- "sents_p":0.5046040516,
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  "obl":{
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  "p":0.0,
@@ -198,34 +198,34 @@
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  "parataxis":{
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  "dep":{
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  },
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  "nummod":{
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  "fixed":{
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- },
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@@ -233,14 +233,19 @@
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  "obl:agent":{
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- "vocative":{
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  "aux":{
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@@ -251,13 +256,8 @@
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  }
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  },
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- "lemma_acc":0.9646237044,
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- "speed":3911.0083510692
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  }
 
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  "token_r":1.0,
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  "token_f":1.0,
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+ "pos_acc":0.9532071504,
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