adrianeboyd
commited on
Commit
•
6084989
1
Parent(s):
62d5a10
Update spaCy pipeline
Browse files- README.md +19 -19
- accuracy.json +125 -125
- attribute_ruler/patterns +0 -0
- config.cfg +3 -2
- ja_core_news_md-any-py3-none-any.whl +2 -2
- meta.json +128 -128
- morphologizer/model +1 -1
- ner/model +1 -1
- parser/model +1 -1
- senter/model +1 -1
- tok2vec/model +2 -2
- vocab/strings.json +2 -2
README.md
CHANGED
@@ -14,13 +14,13 @@ model-index:
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metrics:
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- 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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@@ -34,7 +34,7 @@ model-index:
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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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@@ -55,21 +55,21 @@ model-index:
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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
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metrics:
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- name: Sentences F-Score
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type: f_score
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-
value: 0.
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---
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### Details: https://spacy.io/models/ja#ja_core_news_md
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@@ -78,8 +78,8 @@ Japanese pipeline optimized for CPU. Components: tok2vec, morphologizer, parser,
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| Feature | Description |
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| --- | --- |
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| **Name** | `ja_core_news_md` |
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-
| **Version** | `3.
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-
| **spaCy** | `>=3.
|
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| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `ner` |
|
84 |
| **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `ner` |
|
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| **Vectors** | 480443 keys, 20000 unique vectors (300 dimensions) |
|
@@ -105,22 +105,22 @@ Japanese pipeline optimized for CPU. Components: tok2vec, morphologizer, parser,
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| Type | Score |
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| --- | --- |
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-
| `TOKEN_ACC` | 99.
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| `TOKEN_P` | 97.65 |
|
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| `TOKEN_R` | 97.90 |
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111 |
| `TOKEN_F` | 97.77 |
|
112 |
-
| `POS_ACC` | 97.
|
113 |
| `MORPH_ACC` | 0.00 |
|
114 |
| `MORPH_MICRO_P` | 34.01 |
|
115 |
| `MORPH_MICRO_R` | 98.04 |
|
116 |
| `MORPH_MICRO_F` | 50.51 |
|
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-
| `SENTS_P` |
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-
| `SENTS_R` |
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-
| `SENTS_F` |
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-
| `DEP_UAS` |
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-
| `DEP_LAS` | 90.
|
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| `TAG_ACC` | 97.12 |
|
123 |
| `LEMMA_ACC` | 96.71 |
|
124 |
-
| `ENTS_P` |
|
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-
| `ENTS_R` |
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-
| `ENTS_F` |
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|
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metrics:
|
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- name: NER Precision
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type: precision
|
17 |
+
value: 0.7121418827
|
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- name: NER Recall
|
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type: recall
|
20 |
+
value: 0.6566037736
|
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- name: NER F Score
|
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type: f_score
|
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+
value: 0.6832460733
|
24 |
- task:
|
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name: TAG
|
26 |
type: token-classification
|
|
|
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metrics:
|
35 |
- name: POS (UPOS) Accuracy
|
36 |
type: accuracy
|
37 |
+
value: 0.9721881391
|
38 |
- task:
|
39 |
name: MORPH
|
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type: token-classification
|
|
|
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metrics:
|
56 |
- name: Unlabeled Attachment Score (UAS)
|
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type: f_score
|
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+
value: 0.9203675345
|
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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: 0.9074140723
|
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- task:
|
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name: SENTS
|
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type: token-classification
|
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metrics:
|
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- name: Sentences F-Score
|
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type: f_score
|
72 |
+
value: 0.9774730656
|
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---
|
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### Details: https://spacy.io/models/ja#ja_core_news_md
|
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|
|
|
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| Feature | Description |
|
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| --- | --- |
|
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| **Name** | `ja_core_news_md` |
|
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+
| **Version** | `3.5.0` |
|
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+
| **spaCy** | `>=3.5.0,<3.6.0` |
|
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| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `ner` |
|
84 |
| **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `ner` |
|
85 |
| **Vectors** | 480443 keys, 20000 unique vectors (300 dimensions) |
|
|
|
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|
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| Type | Score |
|
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| --- | --- |
|
108 |
+
| `TOKEN_ACC` | 99.37 |
|
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| `TOKEN_P` | 97.65 |
|
110 |
| `TOKEN_R` | 97.90 |
|
111 |
| `TOKEN_F` | 97.77 |
|
112 |
+
| `POS_ACC` | 97.22 |
|
113 |
| `MORPH_ACC` | 0.00 |
|
114 |
| `MORPH_MICRO_P` | 34.01 |
|
115 |
| `MORPH_MICRO_R` | 98.04 |
|
116 |
| `MORPH_MICRO_F` | 50.51 |
|
117 |
+
| `SENTS_P` | 97.08 |
|
118 |
+
| `SENTS_R` | 98.42 |
|
119 |
+
| `SENTS_F` | 97.75 |
|
120 |
+
| `DEP_UAS` | 92.04 |
|
121 |
+
| `DEP_LAS` | 90.74 |
|
122 |
| `TAG_ACC` | 97.12 |
|
123 |
| `LEMMA_ACC` | 96.71 |
|
124 |
+
| `ENTS_P` | 71.21 |
|
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+
| `ENTS_R` | 65.66 |
|
126 |
+
| `ENTS_F` | 68.32 |
|
accuracy.json
CHANGED
@@ -1,9 +1,9 @@
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{
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-
"token_acc": 0.
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"token_p": 0.9764591282,
|
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"token_r": 0.9790021974,
|
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"token_f": 0.9777290092,
|
6 |
-
"pos_acc": 0.
|
7 |
"morph_acc": 0.0,
|
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"morph_micro_p": 0.3401360544,
|
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"morph_micro_r": 0.9803921569,
|
@@ -25,101 +25,101 @@
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"f": 0.0
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}
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},
|
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-
"sents_p": 0.
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"sents_r": 0.
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-
"sents_f": 0.
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-
"dep_uas": 0.
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"dep_las": 0.
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"dep_las_per_type": {
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"cc": {
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"compound": {
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"obl": {
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"case": {
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"dislocated": {
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"nsubj": {
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"nmod": {
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"root": {
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"nummod": {
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"p": 0.95,
|
@@ -127,56 +127,51 @@
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"f": 0.9047619048
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"det": {
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"tag_acc": 0.9712488769,
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"lemma_acc": 0.9670526831,
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"ents_per_type": {
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"DATE": {
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@@ -184,29 +179,34 @@
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"f": 0.8
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"QUANTITY": {
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"PERCENT": {
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@@ -214,29 +214,29 @@
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"f": 0.4444444444
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"EVENT": {
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@@ -244,9 +244,9 @@
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"f": 1.0
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"LANGUAGE": {
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@@ -254,5 +254,5 @@
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{
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config.cfg
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@@ -135,8 +135,8 @@ factory = "tok2vec"
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|
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