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ljvmiranda921
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xx_ohu_sigtyp_trf

Token Classification
spaCy
multilingual
Eval Results
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ljvmiranda921 commited on
Commit
40d1b02
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1 Parent(s): 6aa97e6

xx_ohu_sigtyp_trf-0.1.0: Update SIGTYP pipeline

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Files changed (9) hide show
  1. README.md +18 -18
  2. meta.json +59 -59
  3. morphologizer/model +1 -1
  4. parser/model +0 -0
  5. tagger/model +1 -1
  6. trainable_lemmatizer/model +1 -1
  7. transformer/model +2 -2
  8. vocab/strings.json +0 -0
  9. xx_ohu_sigtyp_trf-any-py3-none-any.whl +2 -2
README.md CHANGED
@@ -13,35 +13,35 @@ model-index:
13
  metrics:
14
  - name: TAG (XPOS) Accuracy
15
  type: accuracy
16
- value: 0.8831120602
17
  - task:
18
  name: POS
19
  type: token-classification
20
  metrics:
21
  - name: POS (UPOS) Accuracy
22
  type: accuracy
23
- value: 0.9414605455
24
  - task:
25
  name: MORPH
26
  type: token-classification
27
  metrics:
28
  - name: Morph (UFeats) Accuracy
29
  type: accuracy
30
- value: 0.9034294911
31
  - task:
32
  name: LEMMA
33
  type: token-classification
34
  metrics:
35
  - name: Lemma Accuracy
36
  type: accuracy
37
- value: 0.6919575114
38
  - task:
39
  name: UNLABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Unlabeled Attachment Score (UAS)
43
  type: f_score
44
- value: 0.9999380345
45
  - task:
46
  name: LABELED_DEPENDENCIES
47
  type: token-classification
@@ -55,7 +55,7 @@ model-index:
55
  metrics:
56
  - name: Sentences F-Score
57
  type: f_score
58
- value: 0.9813488181
59
  ---
60
  | Feature | Description |
61
  | --- | --- |
@@ -87,17 +87,17 @@ model-index:
87
 
88
  | Type | Score |
89
  | --- | --- |
90
- | `DEP_UAS` | 99.99 |
91
  | `DEP_LAS` | 0.00 |
92
  | `SENTS_P` | 99.99 |
93
- | `SENTS_R` | 96.34 |
94
- | `SENTS_F` | 98.13 |
95
- | `LEMMA_ACC` | 69.20 |
96
- | `TAG_ACC` | 88.31 |
97
- | `POS_ACC` | 94.15 |
98
- | `MORPH_ACC` | 90.34 |
99
- | `TRANSFORMER_LOSS` | 198705.50 |
100
- | `PARSER_LOSS` | 11880206.46 |
101
- | `TRAINABLE_LEMMATIZER_LOSS` | 7853.62 |
102
- | `TAGGER_LOSS` | 13729.02 |
103
- | `MORPHOLOGIZER_LOSS` | 11855.11 |
 
13
  metrics:
14
  - name: TAG (XPOS) Accuracy
15
  type: accuracy
16
+ value: 0.902386923
17
  - task:
18
  name: POS
19
  type: token-classification
20
  metrics:
21
  - name: POS (UPOS) Accuracy
22
  type: accuracy
23
+ value: 0.9529677679
24
  - task:
25
  name: MORPH
26
  type: token-classification
27
  metrics:
28
  - name: Morph (UFeats) Accuracy
29
  type: accuracy
30
+ value: 0.918609331
31
  - task:
32
  name: LEMMA
33
  type: token-classification
34
  metrics:
35
  - name: Lemma Accuracy
36
  type: accuracy
37
+ value: 0.6970561457
38
  - task:
39
  name: UNLABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Unlabeled Attachment Score (UAS)
43
  type: f_score
44
+ value: 0.9998450909
45
  - task:
46
  name: LABELED_DEPENDENCIES
47
  type: token-classification
 
55
  metrics:
56
  - name: Sentences F-Score
57
  type: f_score
58
+ value: 0.981124929
59
  ---
60
  | Feature | Description |
61
  | --- | --- |
 
87
 
88
  | Type | Score |
89
  | --- | --- |
90
+ | `DEP_UAS` | 99.98 |
91
  | `DEP_LAS` | 0.00 |
92
  | `SENTS_P` | 99.99 |
93
+ | `SENTS_R` | 96.31 |
94
+ | `SENTS_F` | 98.11 |
95
+ | `LEMMA_ACC` | 69.71 |
96
+ | `TAG_ACC` | 90.24 |
97
+ | `POS_ACC` | 95.30 |
98
+ | `MORPH_ACC` | 91.86 |
99
+ | `TRANSFORMER_LOSS` | 468931.25 |
100
+ | `PARSER_LOSS` | 11941067.09 |
101
+ | `TRAINABLE_LEMMATIZER_LOSS` | 8052.69 |
102
+ | `TAGGER_LOSS` | 14718.49 |
103
+ | `MORPHOLOGIZER_LOSS` | 12436.03 |
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