ljvmiranda921 commited on
Commit
5b6c2db
1 Parent(s): 0271b42

xx_orv_sigtyp_trf-0.1.0: Update SIGTYP pipeline

Browse files
README.md CHANGED
@@ -13,49 +13,49 @@ model-index:
13
  metrics:
14
  - name: TAG (XPOS) Accuracy
15
  type: accuracy
16
- value: 0.8331671224
17
  - task:
18
  name: POS
19
  type: token-classification
20
  metrics:
21
  - name: POS (UPOS) Accuracy
22
  type: accuracy
23
- value: 0.9281460258
24
  - task:
25
  name: MORPH
26
  type: token-classification
27
  metrics:
28
  - name: Morph (UFeats) Accuracy
29
  type: accuracy
30
- value: 0.8533084449
31
  - task:
32
  name: LEMMA
33
  type: token-classification
34
  metrics:
35
  - name: Lemma Accuracy
36
  type: accuracy
37
- value: 0.7818966896
38
  - task:
39
  name: UNLABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Unlabeled Attachment Score (UAS)
43
  type: f_score
44
- value: 0.7731926157
45
  - task:
46
  name: LABELED_DEPENDENCIES
47
  type: token-classification
48
  metrics:
49
  - name: Labeled Attachment Score (LAS)
50
  type: f_score
51
- value: 0.7051552558
52
  - task:
53
  name: SENTS
54
  type: token-classification
55
  metrics:
56
  - name: Sentences F-Score
57
  type: f_score
58
- value: 0.8985642946
59
  ---
60
  | Feature | Description |
61
  | --- | --- |
@@ -87,17 +87,17 @@ model-index:
87
 
88
  | Type | Score |
89
  | --- | --- |
90
- | `DEP_UAS` | 77.32 |
91
- | `DEP_LAS` | 70.52 |
92
- | `SENTS_P` | 86.90 |
93
- | `SENTS_R` | 93.02 |
94
- | `SENTS_F` | 89.86 |
95
- | `LEMMA_ACC` | 78.19 |
96
- | `TAG_ACC` | 83.32 |
97
- | `POS_ACC` | 92.81 |
98
- | `MORPH_ACC` | 85.33 |
99
- | `TRANSFORMER_LOSS` | 385786.08 |
100
- | `PARSER_LOSS` | 66086.13 |
101
- | `TRAINABLE_LEMMATIZER_LOSS` | 46356.57 |
102
- | `TAGGER_LOSS` | 45440.74 |
103
- | `MORPHOLOGIZER_LOSS` | 32508.30 |
 
13
  metrics:
14
  - name: TAG (XPOS) Accuracy
15
  type: accuracy
16
+ value: 0.8390253323
17
  - task:
18
  name: POS
19
  type: token-classification
20
  metrics:
21
  - name: POS (UPOS) Accuracy
22
  type: accuracy
23
+ value: 0.9330306104
24
  - task:
25
  name: MORPH
26
  type: token-classification
27
  metrics:
28
  - name: Morph (UFeats) Accuracy
29
  type: accuracy
30
+ value: 0.8593465694
31
  - task:
32
  name: LEMMA
33
  type: token-classification
34
  metrics:
35
  - name: Lemma Accuracy
36
  type: accuracy
37
+ value: 0.7866304174
38
  - task:
39
  name: UNLABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Unlabeled Attachment Score (UAS)
43
  type: f_score
44
+ value: 0.7826000133
45
  - task:
46
  name: LABELED_DEPENDENCIES
47
  type: token-classification
48
  metrics:
49
  - name: Labeled Attachment Score (LAS)
50
  type: f_score
51
+ value: 0.7147911303
52
  - task:
53
  name: SENTS
54
  type: token-classification
55
  metrics:
56
  - name: Sentences F-Score
57
  type: f_score
58
+ value: 0.9102885822
59
  ---
60
  | Feature | Description |
61
  | --- | --- |
 
87
 
88
  | Type | Score |
89
  | --- | --- |
90
+ | `DEP_UAS` | 78.26 |
91
+ | `DEP_LAS` | 71.48 |
92
+ | `SENTS_P` | 88.45 |
93
+ | `SENTS_R` | 93.76 |
94
+ | `SENTS_F` | 91.03 |
95
+ | `LEMMA_ACC` | 78.66 |
96
+ | `TAG_ACC` | 83.90 |
97
+ | `POS_ACC` | 93.30 |
98
+ | `MORPH_ACC` | 85.93 |
99
+ | `TRANSFORMER_LOSS` | 1130174.44 |
100
+ | `PARSER_LOSS` | 186531.15 |
101
+ | `TRAINABLE_LEMMATIZER_LOSS` | 153745.66 |
102
+ | `TAGGER_LOSS` | 95557.86 |
103
+ | `MORPHOLOGIZER_LOSS` | 75243.89 |
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