Update spaCy pipeline

README.md

@@ -14,47 +14,62 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.7402422611
+      value: 0.7611940299
     - name: NER Recall
       type: recall
-      value: 0.6918238994
+      value: 0.7056603774
     - name: NER F Score
       type: f_score
-      value: 0.7152145644
+      value: 0.7323759791
+  - 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: 0.9745981102
   - task:
-      name: SENTER
+      name: MORPH
       type: token-classification
     metrics:
-    - name: SENTER Precision
-      type: precision
-      value: 0.9862204724
-    - name: SENTER Recall
-      type: recall
-      value: 0.9881656805
-    - name: SENTER F Score
-      type: f_score
-      value: 0.9871921182
+    - 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: 0.9214150689
+      value: 0.965013864
+  - task:
+      name: UNLABELED_DEPENDENCIES
+      type: token-classification
+    metrics:
+    - name: Unlabeled Attachment Score (UAS)
+      type: f_score
+      value: 0.9222457341
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
-    - name: Labeled Dependencies Accuracy
-      type: accuracy
-      value: 0.9214150689
+    - name: Labeled Attachment Score (LAS)
+      type: f_score
+      value: 0.9090090901
+  - task:
+      name: SENTS
+      type: token-classification
+    metrics:
+    - name: Sentences F-Score
+      type: f_score
+      value: 0.9862475442
 ---
 ### Details: https://spacy.io/models/ja#ja_core_news_lg
 
@@ -63,8 +78,8 @@ Japanese pipeline optimized for CPU. Components: tok2vec, morphologizer, parser,
 | Feature | Description |
 | --- | --- |
 | **Name** | `ja_core_news_lg` |
-| **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, 480443 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` | 97.36 |
-| `MORPH_ACC` | 0.40 |
+| `POS_ACC` | 97.46 |
+| `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` | 98.82 |
-| `SENTS_F` | 98.72 |
-| `DEP_UAS` | 92.14 |
-| `DEP_LAS` | 90.81 |
-| `TAG_ACC` | 97.16 |
-| `LEMMA_ACC` | 96.59 |
-| `ENTS_P` | 74.02 |
-| `ENTS_R` | 69.18 |
-| `ENTS_F` | 71.52 |
+| `SENTS_P` | 98.24 |
+| `SENTS_R` | 99.01 |
+| `SENTS_F` | 98.62 |
+| `DEP_UAS` | 92.22 |
+| `DEP_LAS` | 90.90 |
+| `TAG_ACC` | 97.12 |
+| `LEMMA_ACC` | 96.50 |
+| `ENTS_P` | 76.12 |
+| `ENTS_R` | 70.57 |
+| `ENTS_F` | 73.24 |

accuracy.json

@@ -3,8 +3,8 @@
   "token_p": 0.9764591282,
   "token_r": 0.9790021974,
   "token_f": 0.9777290092,
-  "pos_acc": 0.9736163946,
-  "morph_acc": 0.0040005162,
+  "pos_acc": 0.9745981102,
+  "morph_acc": 0.0,
   "morph_micro_p": 0.3401360544,
   "morph_micro_r": 0.9803921569,
   "morph_micro_f": 0.5050505051,
@@ -25,219 +25,224 @@
       "f": 0.0
     }
   },
-  "sents_p": 0.9862204724,
-  "sents_r": 0.9881656805,
-  "sents_f": 0.9871921182,
-  "dep_uas": 0.9214150689,
-  "dep_las": 0.9080930316,
+  "sents_p": 0.9823874755,
+  "sents_r": 0.9901380671,
+  "sents_f": 0.9862475442,
+  "dep_uas": 0.9222457341,
+  "dep_las": 0.9090090901,
   "dep_las_per_type": {
     "cc": {
-      "p": 0.75,
-      "r": 0.75,
-      "f": 0.75
+      "p": 0.7755102041,
+      "r": 0.7916666667,
+      "f": 0.7835051546
     },
     "compound": {
-      "p": 0.9486581097,
-      "r": 0.916572717,
-      "f": 0.9323394495
+      "p": 0.9439906651,
+      "r": 0.9120631342,
+      "f": 0.9277522936
     },
     "obl": {
-      "p": 0.8233082707,
-      "r": 0.8202247191,
-      "f": 0.8217636023
+      "p": 0.8172715895,
+      "r": 0.8152309613,
+      "f": 0.81625
     },
     "case": {
-      "p": 0.9892679187,
-      "r": 0.9806231003,
-      "f": 0.9849265407
+      "p": 0.9900230238,
+      "r": 0.9802431611,
+      "f": 0.9851088202
     },
     "dislocated": {
-      "p": 0.5,
-      "r": 0.4615384615,
-      "f": 0.48
+      "p": 0.7,
+      "r": 0.5384615385,
+      "f": 0.6086956522
     },
     "nsubj": {
-      "p": 0.8281853282,
-      "r": 0.8234165067,
-      "f": 0.8257940327
+      "p": 0.8349514563,
+      "r": 0.8253358925,
+      "f": 0.8301158301
     },
     "nmod": {
-      "p": 0.87875,
-      "r": 0.8222222222,
-      "f": 0.8495468278
+      "p": 0.8793532338,
+      "r": 0.8269005848,
+      "f": 0.8523206751
     },
     "root": {
-      "p": 0.9560878244,
-      "r": 0.9447731755,
-      "f": 0.9503968254
+      "p": 0.958250497,
+      "r": 0.9506903353,
+      "f": 0.9544554455
     },
     "aux": {
-      "p": 0.9751381215,
-      "r": 0.9832869081,
-      "f": 0.9791955617
+      "p": 0.9851301115,
+      "r": 0.9842154132,
+      "f": 0.9846725499
     },
     "advcl": {
-      "p": 0.6810933941,
-      "r": 0.6719101124,
-      "f": 0.6764705882
+      "p": 0.693877551,
+      "r": 0.6876404494,
+      "f": 0.690744921
     },
     "mark": {
-      "p": 0.971659919,
-      "r": 0.96,
-      "f": 0.9657947686
+      "p": 0.9775510204,
+      "r": 0.958,
+      "f": 0.9676767677
     },
     "fixed": {
-      "p": 0.9571428571,
-      "r": 0.9745454545,
-      "f": 0.9657657658
+      "p": 0.9536541889,
+      "r": 0.9727272727,
+      "f": 0.9630963096
     },
     "acl": {
-      "p": 0.8492239468,
-      "r": 0.8417582418,
-      "f": 0.8454746137
+      "p": 0.8409586057,
+      "r": 0.8483516484,
+      "f": 0.8446389497
     },
     "obj": {
-      "p": 0.9662576687,
-      "r": 0.9516616314,
-      "f": 0.9589041096
+      "p": 0.9541284404,
+      "r": 0.9425981873,
+      "f": 0.9483282675
     },
     "nummod": {
-      "p": 0.9806451613,
+      "p": 0.987012987,
       "r": 0.899408284,
-      "f": 0.9382716049
+      "f": 0.9411764706
     },
     "advmod": {
-      "p": 0.6691729323,
-      "r": 0.6357142857,
-      "f": 0.652014652
+      "p": 0.6904761905,
+      "r": 0.6214285714,
+      "f": 0.6541353383
     },
     "amod": {
-      "p": 0.9310344828,
-      "r": 0.7297297297,
-      "f": 0.8181818182
+      "p": 0.962962963,
+      "r": 0.7027027027,
+      "f": 0.8125
     },
     "cop": {
-      "p": 0.9634146341,
-      "r": 0.9186046512,
-      "f": 0.9404761905
+      "p": 0.9534883721,
+      "r": 0.9534883721,
+      "f": 0.9534883721
     },
     "ccomp": {
-      "p": 0.8571428571,
-      "r": 0.8181818182,
-      "f": 0.8372093023
-    },
-    "csubj": {
-      "p": 0.4444444444,
-      "r": 0.6666666667,
-      "f": 0.5333333333
+      "p": 0.68,
+      "r": 0.7727272727,
+      "f": 0.7234042553
     },
     "det": {
-      "p": 0.9807692308,
-      "r": 0.9622641509,
-      "f": 0.9714285714
+      "p": 1.0,
+      "r": 0.9811320755,
+      "f": 0.9904761905
+    },
+    "csubj": {
+      "p": 0.6923076923,
+      "r": 0.75,
+      "f": 0.72
     },
     "dep": {
-      "p": 0.0769230769,
-      "r": 0.1428571429,
-      "f": 0.1
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
     }
   },
-  "tag_acc": 0.9715755942,
-  "lemma_acc": 0.9659109444,
-  "ents_p": 0.7402422611,
-  "ents_r": 0.6918238994,
-  "ents_f": 0.7152145644,
+  "tag_acc": 0.9712488769,
+  "lemma_acc": 0.965013864,
+  "ents_p": 0.7611940299,
+  "ents_r": 0.7056603774,
+  "ents_f": 0.7323759791,
   "ents_per_type": {
     "DATE": {
-      "p": 0.9553571429,
-      "r": 0.9816513761,
-      "f": 0.9683257919
+      "p": 0.9541284404,
+      "r": 0.9541284404,
+      "f": 0.9541284404
     },
     "ORG": {
-      "p": 0.5916666667,
-      "r": 0.5182481752,
-      "f": 0.5525291829
+      "p": 0.6639344262,
+      "r": 0.5912408759,
+      "f": 0.6254826255
     },
     "PERSON": {
-      "p": 0.7816901408,
-      "r": 0.7985611511,
-      "f": 0.7900355872
+      "p": 0.7714285714,
+      "r": 0.7769784173,
+      "f": 0.7741935484
     },
     "GPE": {
-      "p": 0.6774193548,
-      "r": 0.670212766,
-      "f": 0.6737967914
+      "p": 0.7272727273,
+      "r": 0.6808510638,
+      "f": 0.7032967033
     },
-    "QUANTITY": {
-      "p": 0.8194444444,
-      "r": 0.8939393939,
-      "f": 0.8550724638
+    "PRODUCT": {
+      "p": 0.5,
+      "r": 0.4047619048,
+      "f": 0.4473684211
     },
     "TIME": {
-      "p": 0.6666666667,
+      "p": 0.5714285714,
       "r": 1.0,
-      "f": 0.8
+      "f": 0.7272727273
+    },
+    "QUANTITY": {
+      "p": 0.884057971,
+      "r": 0.9242424242,
+      "f": 0.9037037037
     },
     "NORP": {
-      "p": 0.7407407407,
+      "p": 0.8,
       "r": 0.625,
-      "f": 0.6779661017
+      "f": 0.701754386
     },
     "ORDINAL": {
-      "p": 0.56,
+      "p": 0.7,
       "r": 0.6363636364,
-      "f": 0.5957446809
+      "f": 0.6666666667
     },
     "TITLE_AFFIX": {
-      "p": 0.7916666667,
-      "r": 0.6333333333,
-      "f": 0.7037037037
+      "p": 0.7407407407,
+      "r": 0.6666666667,
+      "f": 0.701754386
     },
     "WORK_OF_ART": {
-      "p": 0.75,
+      "p": 0.8571428571,
       "r": 0.7058823529,
-      "f": 0.7272727273
-    },
-    "EVENT": {
-      "p": 0.8823529412,
-      "r": 0.5769230769,
-      "f": 0.6976744186
+      "f": 0.7741935484
     },
     "PERCENT": {
       "p": 1.0,
       "r": 0.2857142857,
       "f": 0.4444444444
     },
+    "EVENT": {
+      "p": 0.75,
+      "r": 0.6923076923,
+      "f": 0.72
+    },
     "CARDINAL": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     },
-    "FAC": {
-      "p": 0.5666666667,
-      "r": 0.4594594595,
-      "f": 0.5074626866
-    },
     "LOC": {
       "p": 0.5,
       "r": 0.8,
       "f": 0.6153846154
     },
+    "FAC": {
+      "p": 0.6666666667,
+      "r": 0.3783783784,
+      "f": 0.4827586207
+    },
     "MOVEMENT": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     },
-    "PRODUCT": {
-      "p": 0.5384615385,
-      "r": 0.3333333333,
-      "f": 0.4117647059
-    },
     "LAW": {
       "p": 1.0,
       "r": 0.3333333333,
       "f": 0.5
     },
+    "PET_NAME": {
+      "p": 0.0,
+      "r": 0.0,
+      "f": 0.0
+    },
     "MONEY": {
       "p": 1.0,
       "r": 1.0,
@@ -249,5 +254,5 @@
       "f": 1.0
     }
   },
-  "speed": 4912.7299798978
+  "speed": 9177.2419617522
 }

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_lg-any-py3-none-any.whl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1aa64940154d4c04423c309463862d417ab7e232fbf55f790e25f89bb92912bf
-size 556188875
+oid sha256:2e41957fc0c8fbf0593d39b975c6cf36a4742dfb7d00b2c4b48161814907db28
+size 555135908

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"ja",
   "name":"core_news_lg",
-  "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":480443,
@@ -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":0.9736163946,
-    "morph_acc":0.0040005162,
+    "pos_acc":0.9745981102,
+    "morph_acc":0.0,
     "morph_micro_p":0.3401360544,
     "morph_micro_r":0.9803921569,
     "morph_micro_f":0.5050505051,
@@ -142,219 +138,224 @@
         "f":0.0
       }
     },
-    "sents_p":0.9862204724,
-    "sents_r":0.9881656805,
-    "sents_f":0.9871921182,
-    "dep_uas":0.9214150689,
-    "dep_las":0.9080930316,
+    "sents_p":0.9823874755,
+    "sents_r":0.9901380671,
+    "sents_f":0.9862475442,
+    "dep_uas":0.9222457341,
+    "dep_las":0.9090090901,
     "dep_las_per_type":{
       "cc":{
-        "p":0.75,
-        "r":0.75,
-        "f":0.75
+        "p":0.7755102041,
+        "r":0.7916666667,
+        "f":0.7835051546
       },
       "compound":{
-        "p":0.9486581097,
-        "r":0.916572717,
-        "f":0.9323394495
+        "p":0.9439906651,
+        "r":0.9120631342,
+        "f":0.9277522936
       },
       "obl":{
-        "p":0.8233082707,
-        "r":0.8202247191,
-        "f":0.8217636023
+        "p":0.8172715895,
+        "r":0.8152309613,
+        "f":0.81625
       },
       "case":{
-        "p":0.9892679187,
-        "r":0.9806231003,
-        "f":0.9849265407
+        "p":0.9900230238,
+        "r":0.9802431611,
+        "f":0.9851088202
       },
       "dislocated":{
-        "p":0.5,
-        "r":0.4615384615,
-        "f":0.48
+        "p":0.7,
+        "r":0.5384615385,
+        "f":0.6086956522
       },
       "nsubj":{
-        "p":0.8281853282,
-        "r":0.8234165067,
-        "f":0.8257940327
+        "p":0.8349514563,
+        "r":0.8253358925,
+        "f":0.8301158301
       },
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