Update spacy pipeline to 3.7.0
Browse files- README.md +21 -21
- hu_core_news_lg-any-py3-none-any.whl +2 -2
- lookup_lemmatizer/lookups.bin +2 -2
- meta.json +180 -180
- morphologizer/model +1 -1
- ner/model +1 -1
- parser/model +1 -1
- senter/model +1 -1
- tagger/model +1 -1
- tok2vec/model +1 -1
- trainable_lemmatizer/cfg +453 -457
- trainable_lemmatizer/model +2 -2
- trainable_lemmatizer/trees +0 -0
- vocab/strings.json +2 -2
README.md
CHANGED
@@ -14,55 +14,55 @@ model-index:
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metrics:
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15 |
- name: NER Precision
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type: precision
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-
value: 0.
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- name: NER Recall
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type: recall
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-
value: 0.
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- name: NER F Score
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type: f_score
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-
value: 0.
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- task:
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name: TAG
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type: token-classification
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metrics:
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- name: TAG (XPOS) Accuracy
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type: accuracy
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-
value: 0.
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- task:
|
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name: POS
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type: token-classification
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metrics:
|
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- name: POS (UPOS) Accuracy
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type: accuracy
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-
value: 0.
|
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- task:
|
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name: MORPH
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type: token-classification
|
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metrics:
|
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- name: Morph (UFeats) Accuracy
|
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type: accuracy
|
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-
value: 0.
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- task:
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name: LEMMA
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type: token-classification
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metrics:
|
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- name: Lemma Accuracy
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type: accuracy
|
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-
value: 0.
|
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- task:
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name: UNLABELED_DEPENDENCIES
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type: token-classification
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metrics:
|
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- name: Unlabeled Attachment Score (UAS)
|
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type: f_score
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-
value: 0.
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- task:
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name: LABELED_DEPENDENCIES
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type: token-classification
|
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metrics:
|
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- name: Labeled Attachment Score (LAS)
|
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type: f_score
|
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-
value: 0.
|
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- task:
|
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name: SENTS
|
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type: token-classification
|
@@ -111,15 +111,15 @@ Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morpholog
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| `SENTS_P` | 98.43 |
|
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| `SENTS_R` | 98.00 |
|
113 |
| `SENTS_F` | 98.21 |
|
114 |
-
| `TAG_ACC` | 96.
|
115 |
-
| `POS_ACC` | 96.
|
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-
| `MORPH_ACC` | 93.
|
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-
| `MORPH_MICRO_P` | 97.
|
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-
| `MORPH_MICRO_R` |
|
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-
| `MORPH_MICRO_F` | 96.
|
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-
| `LEMMA_ACC` | 97.
|
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-
| `DEP_UAS` |
|
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-
| `DEP_LAS` | 76.
|
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-
| `ENTS_P` |
|
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-
| `ENTS_R` |
|
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-
| `ENTS_F` | 86.
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|
|
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metrics:
|
15 |
- name: NER Precision
|
16 |
type: precision
|
17 |
+
value: 0.8714565876
|
18 |
- name: NER Recall
|
19 |
type: recall
|
20 |
+
value: 0.8593530239
|
21 |
- name: NER F Score
|
22 |
type: f_score
|
23 |
+
value: 0.8653624856
|
24 |
- task:
|
25 |
name: TAG
|
26 |
type: token-classification
|
27 |
metrics:
|
28 |
- name: TAG (XPOS) Accuracy
|
29 |
type: accuracy
|
30 |
+
value: 0.9688501842
|
31 |
- task:
|
32 |
name: POS
|
33 |
type: token-classification
|
34 |
metrics:
|
35 |
- name: POS (UPOS) Accuracy
|
36 |
type: accuracy
|
37 |
+
value: 0.9670319154
|
38 |
- task:
|
39 |
name: MORPH
|
40 |
type: token-classification
|
41 |
metrics:
|
42 |
- name: Morph (UFeats) Accuracy
|
43 |
type: accuracy
|
44 |
+
value: 0.9362618432
|
45 |
- task:
|
46 |
name: LEMMA
|
47 |
type: token-classification
|
48 |
metrics:
|
49 |
- name: Lemma Accuracy
|
50 |
type: accuracy
|
51 |
+
value: 0.9759831595
|
52 |
- task:
|
53 |
name: UNLABELED_DEPENDENCIES
|
54 |
type: token-classification
|
55 |
metrics:
|
56 |
- name: Unlabeled Attachment Score (UAS)
|
57 |
type: f_score
|
58 |
+
value: 0.8332400672
|
59 |
- task:
|
60 |
name: LABELED_DEPENDENCIES
|
61 |
type: token-classification
|
62 |
metrics:
|
63 |
- name: Labeled Attachment Score (LAS)
|
64 |
type: f_score
|
65 |
+
value: 0.76922216
|
66 |
- task:
|
67 |
name: SENTS
|
68 |
type: token-classification
|
|
|
111 |
| `SENTS_P` | 98.43 |
|
112 |
| `SENTS_R` | 98.00 |
|
113 |
| `SENTS_F` | 98.21 |
|
114 |
+
| `TAG_ACC` | 96.89 |
|
115 |
+
| `POS_ACC` | 96.70 |
|
116 |
+
| `MORPH_ACC` | 93.63 |
|
117 |
+
| `MORPH_MICRO_P` | 97.03 |
|
118 |
+
| `MORPH_MICRO_R` | 95.98 |
|
119 |
+
| `MORPH_MICRO_F` | 96.50 |
|
120 |
+
| `LEMMA_ACC` | 97.60 |
|
121 |
+
| `DEP_UAS` | 83.32 |
|
122 |
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| `DEP_LAS` | 76.92 |
|
123 |
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| `ENTS_P` | 87.15 |
|
124 |
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| `ENTS_R` | 85.94 |
|
125 |
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| `ENTS_F` | 86.54 |
|
hu_core_news_lg-any-py3-none-any.whl
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lookup_lemmatizer/lookups.bin
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@@ -2972,12 +2974,12 @@
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@@ -2988,250 +2990,251 @@
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@@ -3239,224 +3242,226 @@
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@@ -3464,22 +3469,24 @@
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@@ -3488,81 +3495,82 @@
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@@ -3598,7 +3606,6 @@
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@@ -3606,23 +3613,23 @@
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@@ -3634,66 +3641,65 @@
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@@ -3704,9 +3710,9 @@
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@@ -3717,46 +3723,42 @@
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|
@@ -3765,234 +3767,237 @@
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|
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|
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|
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|
@@ -4001,21 +4006,12 @@
|
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4002 |
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|
4019 |
-
7453
|
4020 |
]
|
4021 |
}
|
|
|
2781 |
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|
2782 |
5527,
|
2783 |
5528,
|
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+
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|
|
|
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424,
|
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+
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|
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+
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+
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+
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|
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+
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|
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+
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|
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|
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+
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+
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+
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+
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|
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+
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|
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|
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+
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|
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|
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+
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|
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7370,
|
3971 |
+
7371,
|
3972 |
7372,
|
3973 |
7373,
|
3974 |
7374,
|
3975 |
+
7375,
|
3976 |
+
7376,
|
3977 |
7377,
|
|
|
3978 |
7380,
|
|
|
3979 |
7382,
|
|
|
3980 |
7384,
|
|
|
3981 |
7386,
|
|
|
|
|
3982 |
7389,
|
3983 |
+
7390,
|
3984 |
7392,
|
3985 |
7394,
|
3986 |
7396,
|
3987 |
7398,
|
3988 |
+
7400,
|
3989 |
7401,
|
3990 |
7402,
|
3991 |
7404,
|
3992 |
7406,
|
3993 |
7408,
|
3994 |
7410,
|
3995 |
+
7411,
|
3996 |
7412,
|
3997 |
7413,
|
3998 |
7414,
|
3999 |
7416,
|
4000 |
+
7417,
|
4001 |
7418,
|
4002 |
7420,
|
4003 |
7422,
|
|
|
4006 |
7425,
|
4007 |
7426,
|
4008 |
7428,
|
|
|
4009 |
7430,
|
4010 |
7432,
|
4011 |
7434,
|
|
|
4012 |
7436,
|
|
|
4013 |
7438,
|
4014 |
+
7439,
|
4015 |
+
7441
|
|
|
|
|
|
|
|
|
|
|
|
|
4016 |
]
|
4017 |
}
|
trainable_lemmatizer/model
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:6a87904a5122ace3902bd320111362a1bfe5fcba5c9c7ad97769ff57986e3e1e
|
3 |
+
size 61638320
|
trainable_lemmatizer/trees
CHANGED
Binary files a/trainable_lemmatizer/trees and b/trainable_lemmatizer/trees differ
|
|
vocab/strings.json
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b6c047cc74f05b93094fc1c4859327b07c8be39fa6bd1620dfc4269c06ef1e88
|
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size 6388756
|