ljvmiranda921
commited on
Commit
•
5b6c2db
1
Parent(s):
0271b42
xx_orv_sigtyp_trf-0.1.0: Update SIGTYP pipeline
Browse files- README.md +21 -21
- meta.json +200 -200
- morphologizer/model +1 -1
- parser/model +1 -1
- tagger/model +1 -1
- trainable_lemmatizer/model +1 -1
- transformer/model +2 -2
- vocab/strings.json +0 -0
- xx_orv_sigtyp_trf-any-py3-none-any.whl +2 -2
README.md
CHANGED
@@ -13,49 +13,49 @@ model-index:
|
|
13 |
metrics:
|
14 |
- name: TAG (XPOS) Accuracy
|
15 |
type: accuracy
|
16 |
-
value: 0.
|
17 |
- task:
|
18 |
name: POS
|
19 |
type: token-classification
|
20 |
metrics:
|
21 |
- name: POS (UPOS) Accuracy
|
22 |
type: accuracy
|
23 |
-
value: 0.
|
24 |
- task:
|
25 |
name: MORPH
|
26 |
type: token-classification
|
27 |
metrics:
|
28 |
- name: Morph (UFeats) Accuracy
|
29 |
type: accuracy
|
30 |
-
value: 0.
|
31 |
- task:
|
32 |
name: LEMMA
|
33 |
type: token-classification
|
34 |
metrics:
|
35 |
- name: Lemma Accuracy
|
36 |
type: accuracy
|
37 |
-
value: 0.
|
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.
|
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.
|
52 |
- task:
|
53 |
name: SENTS
|
54 |
type: token-classification
|
55 |
metrics:
|
56 |
- name: Sentences F-Score
|
57 |
type: f_score
|
58 |
-
value: 0.
|
59 |
---
|
60 |
| Feature | Description |
|
61 |
| --- | --- |
|
@@ -87,17 +87,17 @@ model-index:
|
|
87 |
|
88 |
| Type | Score |
|
89 |
| --- | --- |
|
90 |
-
| `DEP_UAS` |
|
91 |
-
| `DEP_LAS` |
|
92 |
-
| `SENTS_P` |
|
93 |
-
| `SENTS_R` | 93.
|
94 |
-
| `SENTS_F` |
|
95 |
-
| `LEMMA_ACC` | 78.
|
96 |
-
| `TAG_ACC` | 83.
|
97 |
-
| `POS_ACC` |
|
98 |
-
| `MORPH_ACC` | 85.
|
99 |
-
| `TRANSFORMER_LOSS` |
|
100 |
-
| `PARSER_LOSS` |
|
101 |
-
| `TRAINABLE_LEMMATIZER_LOSS` |
|
102 |
-
| `TAGGER_LOSS` |
|
103 |
-
| `MORPHOLOGIZER_LOSS` |
|
|
|
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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