Update spaCy pipeline

README.md

@@ -14,47 +14,62 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.737704918
+      value: 0.7384196185
     - name: NER Recall
       type: recall
-      value: 0.679245283
+      value: 0.6817610063
     - name: NER F Score
       type: f_score
-      value: 0.7072691552
+      value: 0.7089601046
+  - task:
+      name: TAG
+      type: token-classification
+    metrics:
+    - name: TAG (XPOS) Accuracy
+      type: accuracy
+      value: 0.9712488769
   - task:
       name: POS
       type: token-classification
     metrics:
-    - name: POS Accuracy
+    - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9715755942
+      value: 0.9708372531
   - task:
-      name: SENTER
+      name: MORPH
       type: token-classification
     metrics:
-    - name: SENTER Precision
-      type: precision
-      value: 0.9862475442
-    - name: SENTER Recall
-      type: recall
-      value: 0.9901380671
-    - name: SENTER F Score
-      type: f_score
-      value: 0.9881889764
+    - name: Morph (UFeats) Accuracy
+      type: accuracy
+      value: 0.0
   - task:
-      name: UNLABELED_DEPENDENCIES
+      name: LEMMA
       type: token-classification
     metrics:
-    - name: Unlabeled Dependencies Accuracy
+    - name: Lemma Accuracy
       type: accuracy
-      value: 0.9224188392
+      value: 0.965013864
+  - task:
+      name: UNLABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Unlabeled Attachment Score (UAS)
+      type: f_score
+      value: 0.9211237169
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
-    - name: Labeled Dependencies Accuracy
-      type: accuracy
-      value: 0.9224188392
+    - name: Labeled Attachment Score (LAS)
+      type: f_score
+      value: 0.9075282365
+  - task:
+      name: SENTS
+      type: token-classification
+    metrics:
+    - name: Sentences F-Score
+      type: f_score
+      value: 0.9940828402
 ---
 ### Details: https://spacy.io/models/ja#ja_core_news_md
 
@@ -63,8 +78,8 @@ Japanese pipeline optimized for CPU. Components: tok2vec, morphologizer, parser,
 | Feature | Description |
 | --- | --- |
 | **Name** | `ja_core_news_md` |
-| **Version** | `3.2.0` |
-| **spaCy** | `>=3.2.0,<3.3.0` |
+| **Version** | `3.3.0` |
+| **spaCy** | `>=3.3.0.dev0,<3.4.0` |
 | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `ner` |
 | **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `ner` |
 | **Vectors** | 480443 keys, 20000 unique vectors (300 dimensions) |
@@ -76,13 +91,12 @@ Japanese pipeline optimized for CPU. Components: tok2vec, morphologizer, parser,
 
 <details>
 
-<summary>View label scheme (66 labels for 4 components)</summary>
+<summary>View label scheme (64 labels for 3 components)</summary>
 
 | Component | Labels |
 | --- | --- |
 | **`morphologizer`** | `POS=NOUN`, `POS=ADP`, `POS=VERB`, `POS=SCONJ`, `POS=AUX`, `POS=PUNCT`, `POS=PART`, `POS=DET`, `POS=NUM`, `POS=ADV`, `POS=PRON`, `POS=ADJ`, `POS=PROPN`, `POS=CCONJ`, `POS=SYM`, `POS=NOUN\|Polarity=Neg`, `POS=AUX\|Polarity=Neg`, `POS=INTJ`, `POS=SCONJ\|Polarity=Neg` |
 | **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `amod`, `aux`, `case`, `cc`, `ccomp`, `compound`, `cop`, `csubj`, `dep`, `det`, `dislocated`, `fixed`, `mark`, `nmod`, `nsubj`, `nummod`, `obj`, `obl`, `punct` |
-| **`senter`** | `I`, `S` |
 | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `MOVEMENT`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PET_NAME`, `PHONE`, `PRODUCT`, `QUANTITY`, `TIME`, `TITLE_AFFIX`, `WORK_OF_ART` |
 
 </details>
@@ -95,18 +109,18 @@ Japanese pipeline optimized for CPU. Components: tok2vec, morphologizer, parser,
 | `TOKEN_P` | 97.65 |
 | `TOKEN_R` | 97.90 |
 | `TOKEN_F` | 97.77 |
-| `POS_ACC` | 97.13 |
-| `MORPH_ACC` | 0.40 |
+| `POS_ACC` | 97.08 |
+| `MORPH_ACC` | 0.00 |
 | `MORPH_MICRO_P` | 34.01 |
 | `MORPH_MICRO_R` | 98.04 |
 | `MORPH_MICRO_F` | 50.51 |
-| `SENTS_P` | 98.62 |
-| `SENTS_R` | 99.01 |
-| `SENTS_F` | 98.82 |
-| `DEP_UAS` | 92.24 |
+| `SENTS_P` | 99.41 |
+| `SENTS_R` | 99.41 |
+| `SENTS_F` | 99.41 |
+| `DEP_UAS` | 92.11 |
 | `DEP_LAS` | 90.75 |
-| `TAG_ACC` | 97.16 |
-| `LEMMA_ACC` | 96.59 |
-| `ENTS_P` | 73.77 |
-| `ENTS_R` | 67.92 |
-| `ENTS_F` | 70.73 |
+| `TAG_ACC` | 97.12 |
+| `LEMMA_ACC` | 96.50 |
+| `ENTS_P` | 73.84 |
+| `ENTS_R` | 68.18 |
+| `ENTS_F` | 70.90 |

accuracy.json

@@ -3,8 +3,8 @@
   "token_p": 0.9764591282,
   "token_r": 0.9790021974,
   "token_f": 0.9777290092,
-  "pos_acc": 0.971323379,
-  "morph_acc": 0.0040005162,
+  "pos_acc": 0.9708372531,
+  "morph_acc": 0.0,
   "morph_micro_p": 0.3401360544,
   "morph_micro_r": 0.9803921569,
   "morph_micro_f": 0.5050505051,
@@ -25,116 +25,116 @@
       "f": 0.0
     }
   },
-  "sents_p": 0.9862475442,
-  "sents_r": 0.9901380671,
-  "sents_f": 0.9881889764,
-  "dep_uas": 0.9224188392,
-  "dep_las": 0.9075365579,
+  "sents_p": 0.9940828402,
+  "sents_r": 0.9940828402,
+  "sents_f": 0.9940828402,
+  "dep_uas": 0.9211237169,
+  "dep_las": 0.9075282365,
   "dep_las_per_type": {
     "cc": {
-      "p": 0.7708333333,
-      "r": 0.7708333333,
-      "f": 0.7708333333
+      "p": 0.8125,
+      "r": 0.8125,
+      "f": 0.8125
     },
     "compound": {
-      "p": 0.9421390999,
-      "r": 0.908680947,
-      "f": 0.925107604
+      "p": 0.9490930369,
+      "r": 0.9143179256,
+      "f": 0.9313809934
     },
     "obl": {
-      "p": 0.8222778473,
-      "r": 0.8202247191,
-      "f": 0.82125
+      "p": 0.80875,
+      "r": 0.8077403246,
+      "f": 0.808244847
     },
     "case": {
-      "p": 0.9907763259,
-      "r": 0.9794832827,
-      "f": 0.9850974398
+      "p": 0.9884925201,
+      "r": 0.9791033435,
+      "f": 0.9837755297
     },
     "dislocated": {
-      "p": 0.5833333333,
-      "r": 0.5384615385,
-      "f": 0.56
+      "p": 0.6666666667,
+      "r": 0.4615384615,
+      "f": 0.5454545455
     },
     "nsubj": {
-      "p": 0.8061420345,
-      "r": 0.8061420345,
-      "f": 0.8061420345
+      "p": 0.8146718147,
+      "r": 0.8099808061,
+      "f": 0.812319538
     },
     "nmod": {
-      "p": 0.88639201,
-      "r": 0.8304093567,
-      "f": 0.8574879227
+      "p": 0.8869565217,
+      "r": 0.8350877193,
+      "f": 0.8602409639
     },
     "root": {
-      "p": 0.9741035857,
-      "r": 0.9644970414,
-      "f": 0.9692765114
+      "p": 0.966,
+      "r": 0.9526627219,
+      "f": 0.959285005
     },
     "aux": {
-      "p": 0.977818854,
-      "r": 0.982358403,
-      "f": 0.9800833719
+      "p": 0.9768732655,
+      "r": 0.9805013928,
+      "f": 0.9786839666
     },
     "advcl": {
-      "p": 0.6726057906,
-      "r": 0.6786516854,
-      "f": 0.6756152125
+      "p": 0.6876404494,
+      "r": 0.6876404494,
+      "f": 0.6876404494
     },
     "mark": {
-      "p": 0.9599198397,
-      "r": 0.958,
-      "f": 0.958958959
+      "p": 0.9696969697,
+      "r": 0.96,
+      "f": 0.9648241206
     },
     "fixed": {
-      "p": 0.9533213645,
-      "r": 0.9654545455,
-      "f": 0.9593495935
+      "p": 0.9566003617,
+      "r": 0.9618181818,
+      "f": 0.9592021759
     },
     "acl": {
-      "p": 0.8561946903,
-      "r": 0.8505494505,
-      "f": 0.8533627343
+      "p": 0.8278867102,
+      "r": 0.8351648352,
+      "f": 0.8315098468
     },
     "obj": {
-      "p": 0.9695121951,
-      "r": 0.9607250755,
-      "f": 0.9650986343
+      "p": 0.9456193353,
+      "r": 0.9456193353,
+      "f": 0.9456193353
     },
     "nummod": {
-      "p": 0.9868421053,
-      "r": 0.8875739645,
-      "f": 0.9345794393
+      "p": 0.9325153374,
+      "r": 0.899408284,
+      "f": 0.9156626506
     },
     "advmod": {
-      "p": 0.6323529412,
-      "r": 0.6142857143,
-      "f": 0.6231884058
+      "p": 0.7054263566,
+      "r": 0.65,
+      "f": 0.6765799257
     },
     "amod": {
-      "p": 0.9,
+      "p": 0.9642857143,
       "r": 0.7297297297,
-      "f": 0.8059701493
+      "f": 0.8307692308
     },
     "cop": {
-      "p": 0.9585798817,
+      "p": 0.9700598802,
       "r": 0.9418604651,
-      "f": 0.9501466276
+      "f": 0.9557522124
     },
     "ccomp": {
-      "p": 1.0,
-      "r": 0.7272727273,
-      "f": 0.8421052632
+      "p": 0.95,
+      "r": 0.8636363636,
+      "f": 0.9047619048
     },
     "det": {
-      "p": 0.9615384615,
-      "r": 0.9433962264,
-      "f": 0.9523809524
+      "p": 0.9807692308,
+      "r": 0.9622641509,
+      "f": 0.9714285714
     },
     "csubj": {
-      "p": 0.6923076923,
-      "r": 0.75,
-      "f": 0.72
+      "p": 0.6153846154,
+      "r": 0.6666666667,
+      "f": 0.64
     },
     "dep": {
       "p": 0.0,
@@ -142,11 +142,11 @@
       "f": 0.0
     }
   },
-  "tag_acc": 0.9715755942,
-  "lemma_acc": 0.9659109444,
-  "ents_p": 0.737704918,
-  "ents_r": 0.679245283,
-  "ents_f": 0.7072691552,
+  "tag_acc": 0.9712488769,
+  "lemma_acc": 0.965013864,
+  "ents_p": 0.7384196185,
+  "ents_r": 0.6817610063,
+  "ents_f": 0.7089601046,
   "ents_per_type": {
     "DATE": {
       "p": 0.9722222222,
@@ -154,29 +154,29 @@
       "f": 0.9677419355
     },
     "ORG": {
-      "p": 0.6218487395,
-      "r": 0.5401459854,
-      "f": 0.578125
+      "p": 0.6097560976,
+      "r": 0.5474452555,
+      "f": 0.5769230769
     },
     "TITLE_AFFIX": {
-      "p": 0.7727272727,
-      "r": 0.5666666667,
-      "f": 0.6538461538
+      "p": 0.8636363636,
+      "r": 0.6333333333,
+      "f": 0.7307692308
     },
     "PERSON": {
-      "p": 0.7407407407,
-      "r": 0.7194244604,
-      "f": 0.7299270073
+      "p": 0.762962963,
+      "r": 0.7410071942,
+      "f": 0.7518248175
     },
     "GPE": {
-      "p": 0.6774193548,
-      "r": 0.670212766,
-      "f": 0.6737967914
+      "p": 0.7282608696,
+      "r": 0.7127659574,
+      "f": 0.7204301075
     },
     "PRODUCT": {
-      "p": 0.5806451613,
-      "r": 0.4285714286,
-      "f": 0.4931506849
+      "p": 0.4375,
+      "r": 0.3333333333,
+      "f": 0.3783783784
     },
     "TIME": {
       "p": 0.6666666667,
@@ -184,49 +184,49 @@
       "f": 0.8
     },
     "QUANTITY": {
-      "p": 0.8382352941,
+      "p": 0.8769230769,
       "r": 0.8636363636,
-      "f": 0.8507462687
+      "f": 0.8702290076
     },
     "NORP": {
-      "p": 0.7407407407,
-      "r": 0.625,
-      "f": 0.6779661017
+      "p": 0.72,
+      "r": 0.5625,
+      "f": 0.6315789474
     },
     "ORDINAL": {
-      "p": 0.5357142857,
+      "p": 0.5172413793,
       "r": 0.6818181818,
-      "f": 0.6
+      "f": 0.5882352941
     },
     "WORK_OF_ART": {
-      "p": 0.8,
-      "r": 0.7058823529,
-      "f": 0.75
+      "p": 0.5789473684,
+      "r": 0.6470588235,
+      "f": 0.6111111111
     },
     "FAC": {
-      "p": 0.619047619,
-      "r": 0.3513513514,
-      "f": 0.4482758621
+      "p": 0.625,
+      "r": 0.4054054054,
+      "f": 0.4918032787
     },
     "PERCENT": {
       "p": 1.0,
       "r": 0.2857142857,
       "f": 0.4444444444
     },
+    "EVENT": {
+      "p": 0.7619047619,
+      "r": 0.6153846154,
+      "f": 0.6808510638
+    },
     "CARDINAL": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     },
-    "EVENT": {
-      "p": 0.75,
-      "r": 0.6923076923,
-      "f": 0.72
-    },
     "LOC": {
-      "p": 0.5333333333,
-      "r": 0.8,
-      "f": 0.64
+      "p": 0.5384615385,
+      "r": 0.7,
+      "f": 0.6086956522
     },
     "MOVEMENT": {
       "p": 0.0,
@@ -238,16 +238,21 @@
       "r": 0.3333333333,
       "f": 0.5
     },
+    "PET_NAME": {
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
+    },
     "MONEY": {
-      "p": 0.875,
+      "p": 1.0,
       "r": 1.0,
-      "f": 0.9333333333
+      "f": 1.0
     },
     "LANGUAGE": {
-      "p": 0.8571428571,
+      "p": 1.0,
       "r": 1.0,
-      "f": 0.9230769231
+      "f": 1.0
     }
   },
-  "speed": 4621.4641630782
+  "speed": 8044.6200194392
 }

config.cfg

@@ -35,8 +35,9 @@ overwrite = true
 scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
 
 [components.morphologizer.model]
-@architectures = "spacy.Tagger.v1"
+@architectures = "spacy.Tagger.v2"
 nO = null
+normalize = false
 
 [components.morphologizer.model.tok2vec]
 @architectures = "spacy.Tok2VecListener.v1"
@@ -66,7 +67,7 @@ nO = null
 @architectures = "spacy.MultiHashEmbed.v2"
 width = 96
 attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
-rows = [5000,2500,2500,2500]
+rows = [5000,1000,2500,2500]
 include_static_vectors = true
 
 [components.ner.model.tok2vec.encode]
@@ -104,8 +105,9 @@ overwrite = false
 scorer = {"@scorers":"spacy.senter_scorer.v1"}
 
 [components.senter.model]
-@architectures = "spacy.Tagger.v1"
+@architectures = "spacy.Tagger.v2"
 nO = null
+normalize = false
 
 [components.senter.model.tok2vec]
 @architectures = "spacy.Tok2Vec.v2"
@@ -134,7 +136,7 @@ factory = "tok2vec"
 @architectures = "spacy.MultiHashEmbed.v2"
 width = ${components.tok2vec.model.encode:width}
 attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
-rows = [5000,2500,2500,2500]
+rows = [5000,1000,2500,2500]
 include_static_vectors = true
 
 [components.tok2vec.model.encode]
@@ -171,7 +173,7 @@ dropout = 0.1
 accumulate_gradient = 1
 patience = 5000
 max_epochs = 0
-max_steps = 0
+max_steps = 100000
 eval_frequency = 1000
 frozen_components = []
 before_to_disk = null

ja_core_news_md-any-py3-none-any.whl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c851e760a3b18f48359d9c52828ced1d1bf2560063d8fcdfc161203e3eaf35eb
-size 43045518
+oid sha256:80bc4423a0a9d8ce761c25750c28885c055caa83bb4ae45b14937975f9b63bcb
+size 41986714

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"ja",
   "name":"core_news_md",
-  "version":"3.2.0",
+  "version":"3.3.0",
   "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":">=3.2.0,<3.3.0",
-  "spacy_git_version":"bb26550e2",
+  "spacy_version":">=3.3.0.dev0,<3.4.0",
+  "spacy_git_version":"849bef2de",
   "vectors":{
     "width":300,
     "vectors":20000,
@@ -65,10 +65,6 @@
       "obl",
       "punct"
     ],
-    "senter":[
-      "I",
-      "S"
-    ],
     "attribute_ruler":[
 
     ],
@@ -120,8 +116,8 @@
     "token_p":0.9764591282,
     "token_r":0.9790021974,
     "token_f":0.9777290092,
-    "pos_acc":0.971323379,
-    "morph_acc":0.0040005162,
+    "pos_acc":0.9708372531,
+    "morph_acc":0.0,
     "morph_micro_p":0.3401360544,
     "morph_micro_r":0.9803921569,
     "morph_micro_f":0.5050505051,
@@ -142,116 +138,116 @@
         "f":0.0
       }
     },
-    "sents_p":0.9862475442,
-    "sents_r":0.9901380671,
-    "sents_f":0.9881889764,
-    "dep_uas":0.9224188392,
-    "dep_las":0.9075365579,
+    "sents_p":0.9940828402,
+    "sents_r":0.9940828402,
+    "sents_f":0.9940828402,
+    "dep_uas":0.9211237169,
+    "dep_las":0.9075282365,
     "dep_las_per_type":{
       "cc":{
-        "p":0.7708333333,
-        "r":0.7708333333,
-        "f":0.7708333333
+        "p":0.8125,
+        "r":0.8125,
+        "f":0.8125
       },
       "compound":{
-        "p":0.9421390999,
-        "r":0.908680947,
-        "f":0.925107604
+        "p":0.9490930369,
+        "r":0.9143179256,
+        "f":0.9313809934
       },
       "obl":{
-        "p":0.8222778473,
-        "r":0.8202247191,
-        "f":0.82125
+        "p":0.80875,
+        "r":0.8077403246,
+        "f":0.808244847
       },
       "case":{
-        "p":0.9907763259,
-        "r":0.9794832827,
-        "f":0.9850974398
+        "p":0.9884925201,
+        "r":0.9791033435,
+        "f":0.9837755297
       },
       "dislocated":{
-        "p":0.5833333333,
-        "r":0.5384615385,
-        "f":0.56
+        "p":0.6666666667,
+        "r":0.4615384615,
+        "f":0.5454545455
       },
       "nsubj":{
-        "p":0.8061420345,
-        "r":0.8061420345,
-        "f":0.8061420345
+        "p":0.8146718147,
+        "r":0.8099808061,
+        "f":0.812319538
       },
       "nmod":{
-        "p":0.88639201,
-        "r":0.8304093567,
-        "f":0.8574879227
+        "p":0.8869565217,
+        "r":0.8350877193,
+        "f":0.8602409639
       },
       "root":{
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