Update spaCy pipeline

README.md

@@ -14,27 +14,27 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.7286295794
+      value: 0.7266576455
     - name: NER Recall
       type: recall
       value: 0.6754716981
     - name: NER F Score
       type: f_score
-      value: 0.7010443864
+      value: 0.7001303781
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9713305562
+      value: 0.9713282143
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9729199051
+      value: 0.9712018326
   - task:
       name: MORPH
       type: token-classification
@@ -48,28 +48,28 @@ model-index:
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9670526831
+      value: 0.9670499959
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.9206249156
+      value: 0.9221346544
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.9067758481
+      value: 0.9092381767
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9901574803
+      value: 0.9696376102
 ---
 ### Details: https://spacy.io/models/ja#ja_core_news_md
 
@@ -78,8 +78,8 @@ Japanese pipeline optimized for CPU. Components: tok2vec, morphologizer, parser,
 | Feature | Description |
 | --- | --- |
 | **Name** | `ja_core_news_md` |
-| **Version** | `3.6.0` |
-| **spaCy** | `>=3.6.0,<3.7.0` |
+| **Version** | `3.7.0` |
+| **spaCy** | `>=3.7.0,<3.8.0` |
 | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `ner` |
 | **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `ner` |
 | **Vectors** | 480443 keys, 20000 unique vectors (300 dimensions) |
@@ -106,21 +106,21 @@ Japanese pipeline optimized for CPU. Components: tok2vec, morphologizer, parser,
 | Type | Score |
 | --- | --- |
 | `TOKEN_ACC` | 99.37 |
-| `TOKEN_P` | 97.65 |
-| `TOKEN_R` | 97.90 |
-| `TOKEN_F` | 97.77 |
-| `POS_ACC` | 97.29 |
+| `TOKEN_P` | 97.64 |
+| `TOKEN_R` | 97.88 |
+| `TOKEN_F` | 97.76 |
+| `POS_ACC` | 97.12 |
 | `MORPH_ACC` | 0.00 |
 | `MORPH_MICRO_P` | 34.01 |
 | `MORPH_MICRO_R` | 98.04 |
 | `MORPH_MICRO_F` | 50.51 |
-| `SENTS_P` | 98.82 |
-| `SENTS_R` | 99.21 |
-| `SENTS_F` | 99.02 |
-| `DEP_UAS` | 92.06 |
-| `DEP_LAS` | 90.68 |
+| `SENTS_P` | 96.30 |
+| `SENTS_R` | 97.63 |
+| `SENTS_F` | 96.96 |
+| `DEP_UAS` | 92.21 |
+| `DEP_LAS` | 90.92 |
 | `TAG_ACC` | 97.13 |
-| `LEMMA_ACC` | 96.71 |
-| `ENTS_P` | 72.86 |
+| `LEMMA_ACC` | 96.70 |
+| `ENTS_P` | 72.67 |
 | `ENTS_R` | 67.55 |
-| `ENTS_F` | 70.10 |
+| `ENTS_F` | 70.01 |

accuracy.json

@@ -1,9 +1,9 @@
 {
-  "token_acc": 0.9937494927,
-  "token_p": 0.9764591282,
-  "token_r": 0.9790021974,
-  "token_f": 0.9777290092,
-  "pos_acc": 0.9729199051,
+  "token_acc": 0.9936678032,
+  "token_p": 0.9763760351,
+  "token_r": 0.9788394238,
+  "token_f": 0.9776061776,
+  "pos_acc": 0.9712018326,
   "morph_acc": 0.0,
   "morph_micro_p": 0.3401360544,
   "morph_micro_r": 0.9803921569,
@@ -25,188 +25,188 @@
       "f": 0.0
     }
   },
-  "sents_p": 0.9882121807,
-  "sents_r": 0.9921104536,
-  "sents_f": 0.9901574803,
-  "dep_uas": 0.9206249156,
-  "dep_las": 0.9067758481,
+  "sents_p": 0.9630350195,
+  "sents_r": 0.9763313609,
+  "sents_f": 0.9696376102,
+  "dep_uas": 0.9221346544,
+  "dep_las": 0.9092381767,
   "dep_las_per_type": {
     "cc": {
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-      "r": 0.7708333333,
-      "f": 0.7789473684
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+      "f": 0.8723404255
     },
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-      "r": 0.9058624577,
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+      "f": 0.9238694906
     },
     "obl": {
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-      "f": 0.812967581
+      "p": 0.822418136,
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+      "f": 0.8188087774
     },
     "case": {
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+      "f": 0.8528347407
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     "aux": {
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     "acl": {
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     "amod": {
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     "det": {
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-  "tag_acc": 0.9713305562,
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   "ents_r": 0.6754716981,
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     "GPE": {
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     "QUANTITY": {
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       "f": 0.8656716418
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-    "TIME": {
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-      "r": 1.0,
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     "NORP": {
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       "r": 0.625,
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+      "f": 0.6666666667
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     "ORDINAL": {
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-    },
-    "TITLE_AFFIX": {
-      "p": 0.8260869565,
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-      "f": 0.7169811321
-    },
-    "PRODUCT": {
-      "p": 0.4642857143,
-      "r": 0.3095238095,
-      "f": 0.3714285714
+      "p": 0.5909090909,
+      "r": 0.5909090909,
+      "f": 0.5909090909
     },
     "WORK_OF_ART": {
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       "r": 0.6470588235,
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     "CARDINAL": {
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+      "f": 0.0
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     "PERCENT": {
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@@ -214,18 +214,18 @@
       "f": 0.4444444444
     },
     "EVENT": {
-      "p": 0.7777777778,
-      "r": 0.5384615385,
-      "f": 0.6363636364
+      "p": 0.6666666667,
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+      "f": 0.64
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     "LOC": {
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       "r": 0.7,
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     "FAC": {
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+      "p": 0.652173913,
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       "f": 0.5
     },
     "MOVEMENT": {
@@ -244,10 +244,10 @@
       "f": 1.0
     },
     "LANGUAGE": {
-      "p": 1.0,
+      "p": 0.8571428571,
       "r": 1.0,
-      "f": 1.0
+      "f": 0.9230769231
     }
   },
-  "speed": 8525.2225414726
+  "speed": 7926.2334345884
 }

config.cfg

@@ -16,6 +16,7 @@ before_creation = null
 after_creation = null
 after_pipeline_creation = null
 batch_size = 256
+vectors = {"@vectors":"spacy.Vectors.v1"}
 
 [nlp.tokenizer]
 @tokenizers = "spacy.ja.JapaneseTokenizer"

ja_core_news_md-any-py3-none-any.whl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ee6dac35b142ccf6fbe1414593be4414b7ebc571be729e3d14c793860be32867
-size 42109137
+oid sha256:9620316189c3638feec33d3abd0375d532650860d4e6cd2b2a6232594e14d440
+size 42112454

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"ja",
   "name":"core_news_md",
-  "version":"3.6.0",
+  "version":"3.7.0",
   "description":"Japanese pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler.",
   "author":"Explosion",
   "email":"contact@explosion.ai",
   "url":"https://explosion.ai",
   "license":"CC BY-SA 4.0",
-  "spacy_version":">=3.6.0,<3.7.0",
-  "spacy_git_version":"cb4fdc83e",
+  "spacy_version":">=3.7.0,<3.8.0",
+  "spacy_git_version":"6b4f77441",
   "vectors":{
     "width":300,
     "vectors":20000,
@@ -113,11 +113,11 @@
     "senter"
   ],
   "performance":{
-    "token_acc":0.9937494927,
-    "token_p":0.9764591282,
-    "token_r":0.9790021974,
-    "token_f":0.9777290092,
-    "pos_acc":0.9729199051,
+    "token_acc":0.9936678032,
+    "token_p":0.9763760351,
+    "token_r":0.9788394238,
+    "token_f":0.9776061776,
+    "pos_acc":0.9712018326,
     "morph_acc":0.0,
     "morph_micro_p":0.3401360544,
     "morph_micro_r":0.9803921569,
@@ -139,188 +139,188 @@
         "f":0.0
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+    "sents_f":0.9696376102,
+    "dep_uas":0.9221346544,
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     "dep_las_per_type":{
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