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Jacobo
/
grc_proiel_trf

Token Classification
spaCy
Ancient Greek (to 1453)
Eval Results
Model card Files Community
1
Jacobo commited on
Commit
45e47b8
•
1 Parent(s): 754fbe9

Update spaCy pipeline

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Files changed (9) hide show
  1. README.md +19 -19
  2. grc_proiel_trf-any-py3-none-any.whl +2 -2
  3. lemmatizer/model +1 -1
  4. meta.json +120 -119
  5. morphologizer/model +1 -1
  6. parser/model +1 -1
  7. tagger/model +0 -0
  8. transformer/model +2 -2
  9. vocab/strings.json +2 -2
README.md CHANGED
@@ -13,14 +13,14 @@ model-index:
13
  metrics:
14
  - name: TAG (XPOS) Accuracy
15
  type: accuracy
16
- value: 0.9871174426
17
  - task:
18
  name: POS
19
  type: token-classification
20
  metrics:
21
  - name: POS (UPOS) Accuracy
22
  type: accuracy
23
- value: 0.9861631791
24
  - task:
25
  name: MORPH
26
  type: token-classification
@@ -34,34 +34,34 @@ model-index:
34
  metrics:
35
  - name: Lemma Accuracy
36
  type: accuracy
37
- value: 0.9644196033
38
  - task:
39
  name: UNLABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Unlabeled Attachment Score (UAS)
43
  type: f_score
44
- value: 0.8906547532
45
  - task:
46
  name: LABELED_DEPENDENCIES
47
  type: token-classification
48
  metrics:
49
  - name: Labeled Attachment Score (LAS)
50
  type: f_score
51
- value: 0.8569649919
52
  - task:
53
  name: SENTS
54
  type: token-classification
55
  metrics:
56
  - name: Sentences F-Score
57
  type: f_score
58
- value: 0.9960822723
59
  ---
60
  | Feature | Description |
61
  | --- | --- |
62
  | **Name** | `grc_proiel_trf` |
63
  | **Version** | `3.7.5` |
64
- | **spaCy** | `>=3.7.5,<3.8.0` |
65
  | **Default Pipeline** | `transformer`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler` |
66
  | **Components** | `transformer`, `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` | 98.62 |
91
  | `MORPH_ACC` | 94.61 |
92
- | `TAG_ACC` | 98.71 |
93
- | `DEP_UAS` | 89.07 |
94
- | `DEP_LAS` | 85.70 |
95
- | `SENTS_P` | 99.41 |
96
- | `SENTS_R` | 99.80 |
97
- | `SENTS_F` | 99.61 |
98
- | `LEMMA_ACC` | 96.44 |
99
- | `TRANSFORMER_LOSS` | 112503.24 |
100
- | `MORPHOLOGIZER_LOSS` | 1176.78 |
101
- | `TAGGER_LOSS` | 622.42 |
102
- | `PARSER_LOSS` | 9969849.86 |
 
13
  metrics:
14
  - name: TAG (XPOS) Accuracy
15
  type: accuracy
16
+ value: 0.9870492809
17
  - task:
18
  name: POS
19
  type: token-classification
20
  metrics:
21
  - name: POS (UPOS) Accuracy
22
  type: accuracy
23
+ value: 0.9865039875
24
  - task:
25
  name: MORPH
26
  type: token-classification
 
34
  metrics:
35
  - name: Lemma Accuracy
36
  type: accuracy
37
+ value: 0.9655101902
38
  - task:
39
  name: UNLABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Unlabeled Attachment Score (UAS)
43
  type: f_score
44
+ value: 0.8870743317
45
  - task:
46
  name: LABELED_DEPENDENCIES
47
  type: token-classification
48
  metrics:
49
  - name: Labeled Attachment Score (LAS)
50
  type: f_score
51
+ value: 0.8555840352
52
  - task:
53
  name: SENTS
54
  type: token-classification
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  metrics:
56
  - name: Sentences F-Score
57
  type: f_score
58
+ value: 0.9941234084
59
  ---
60
  | Feature | Description |
61
  | --- | --- |
62
  | **Name** | `grc_proiel_trf` |
63
  | **Version** | `3.7.5` |
64
+ | **spaCy** | `>=3.8.2,<3.9.0` |
65
  | **Default Pipeline** | `transformer`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler` |
66
  | **Components** | `transformer`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler` |
67
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
 
87
 
88
  | Type | Score |
89
  | --- | --- |
90
+ | `POS_ACC` | 98.65 |
91
  | `MORPH_ACC` | 94.61 |
92
+ | `TAG_ACC` | 98.70 |
93
+ | `DEP_UAS` | 88.71 |
94
+ | `DEP_LAS` | 85.56 |
95
+ | `SENTS_P` | 99.22 |
96
+ | `SENTS_R` | 99.61 |
97
+ | `SENTS_F` | 99.41 |
98
+ | `LEMMA_ACC` | 96.55 |
99
+ | `TRANSFORMER_LOSS` | 121398.42 |
100
+ | `MORPHOLOGIZER_LOSS` | 1526.60 |
101
+ | `TAGGER_LOSS` | 208.68 |
102
+ | `PARSER_LOSS` | 9990298.44 |
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