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Jacobo
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grc_proiel_lg

Token Classification
spaCy
Ancient Greek (to 1453)
Eval Results
Model card Files Community
Jacobo commited on
Commit
7c8574a
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1 Parent(s): dc17a5f

Update spaCy pipeline

Browse files
Files changed (15) hide show
  1. README.md +22 -22
  2. accuracy.json +144 -144
  3. attribute_ruler/patterns +0 -0
  4. config.cfg +2 -0
  5. grc_proiel_lg-any-py3-none-any.whl +2 -2
  6. lemmatizer/model +1 -1
  7. meta.json +151 -151
  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
  15. vocab/vectors.cfg +2 -1
README.md CHANGED
@@ -13,55 +13,55 @@ model-index:
13
  metrics:
14
  - name: TAG (XPOS) Accuracy
15
  type: accuracy
16
- value: 0.9750219748
17
  - task:
18
  name: POS
19
  type: token-classification
20
  metrics:
21
  - name: POS (UPOS) Accuracy
22
  type: accuracy
23
- value: 0.9726047466
24
  - task:
25
  name: MORPH
26
  type: token-classification
27
  metrics:
28
  - name: Morph (UFeats) Accuracy
29
  type: accuracy
30
- value: 0.9088045708
31
  - task:
32
  name: LEMMA
33
  type: token-classification
34
  metrics:
35
  - name: Lemma Accuracy
36
  type: accuracy
37
- value: 0.9732639906
38
  - task:
39
  name: UNLABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Unlabeled Attachment Score (UAS)
43
  type: f_score
44
- value: 0.8111631995
45
  - task:
46
  name: LABELED_DEPENDENCIES
47
  type: token-classification
48
  metrics:
49
  - name: Labeled Attachment Score (LAS)
50
  type: f_score
51
- value: 0.7622326399
52
  - task:
53
  name: SENTS
54
  type: token-classification
55
  metrics:
56
  - name: Sentences F-Score
57
  type: f_score
58
- value: 0.6111922141
59
  ---
60
  | Feature | Description |
61
  | --- | --- |
62
  | **Name** | `grc_proiel_lg` |
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** | -1 keys, 200000 unique vectors (300 dimensions) |
@@ -87,16 +87,16 @@ model-index:
87
 
88
  | Type | Score |
89
  | --- | --- |
90
- | `POS_ACC` | 97.30 |
91
- | `MORPH_ACC` | 90.60 |
92
- | `TAG_ACC` | 97.70 |
93
- | `DEP_UAS` | 80.68 |
94
- | `DEP_LAS` | 76.07 |
95
- | `SENTS_P` | 56.43 |
96
- | `SENTS_R` | 62.02 |
97
- | `SENTS_F` | 59.09 |
98
- | `LEMMA_ACC` | 97.33 |
99
- | `TOK2VEC_LOSS` | 7384506.01 |
100
- | `MORPHOLOGIZER_LOSS` | 80044.78 |
101
- | `TAGGER_LOSS` | 25253.04 |
102
- | `PARSER_LOSS` | 1795439.09 |
 
13
  metrics:
14
  - name: TAG (XPOS) Accuracy
15
  type: accuracy
16
+ value: 0.9753149722
17
  - task:
18
  name: POS
19
  type: token-classification
20
  metrics:
21
  - name: POS (UPOS) Accuracy
22
  type: accuracy
23
+ value: 0.97333724
24
  - task:
25
  name: MORPH
26
  type: token-classification
27
  metrics:
28
  - name: Morph (UFeats) Accuracy
29
  type: accuracy
30
+ value: 0.9031643715
31
  - task:
32
  name: LEMMA
33
  type: token-classification
34
  metrics:
35
  - name: Lemma Accuracy
36
  type: accuracy
37
+ value: 0.9745092294
38
  - task:
39
  name: UNLABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Unlabeled Attachment Score (UAS)
43
  type: f_score
44
+ value: 0.8039115148
45
  - task:
46
  name: LABELED_DEPENDENCIES
47
  type: token-classification
48
  metrics:
49
  - name: Labeled Attachment Score (LAS)
50
  type: f_score
51
+ value: 0.75666569
52
  - task:
53
  name: SENTS
54
  type: token-classification
55
  metrics:
56
  - name: Sentences F-Score
57
  type: f_score
58
+ value: 0.6032818533
59
  ---
60
  | Feature | Description |
61
  | --- | --- |
62
  | **Name** | `grc_proiel_lg` |
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** | -1 keys, 200000 unique vectors (300 dimensions) |
 
87
 
88
  | Type | Score |
89
  | --- | --- |
90
+ | `POS_ACC` | 97.33 |
91
+ | `MORPH_ACC` | 90.32 |
92
+ | `TAG_ACC` | 97.53 |
93
+ | `DEP_UAS` | 80.39 |
94
+ | `DEP_LAS` | 75.67 |
95
+ | `SENTS_P` | 59.35 |
96
+ | `SENTS_R` | 61.33 |
97
+ | `SENTS_F` | 60.33 |
98
+ | `LEMMA_ACC` | 97.45 |
99
+ | `TOK2VEC_LOSS` | 7465584.11 |
100
+ | `MORPHOLOGIZER_LOSS` | 211872.15 |
101
+ | `TAGGER_LOSS` | 48038.59 |
102
+ | `PARSER_LOSS` | 2751762.68 |
accuracy.json CHANGED
@@ -3,204 +3,204 @@
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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":0.9705573081,
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- "morph_micro_p":0.9639012033,
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  "Mood":{
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  "Degree":{
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- "sents_p":0.5994180407,
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@@ -213,34 +213,39 @@
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@@ -251,13 +256,8 @@
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