Update spaCy pipeline

.gitattributes

@@ -19,3 +19,4 @@
 *strings.json filter=lfs diff=lfs merge=lfs -text
 vectors filter=lfs diff=lfs merge=lfs -text
 model filter=lfs diff=lfs merge=lfs -text
+*key2row filter=lfs diff=lfs merge=lfs -text

README.md

@@ -14,47 +14,41 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.8531330602
+      value: 0.8511198946
     - name: NER Recall
       type: recall
-      value: 0.8448016827
+      value: 0.8411458333
     - name: NER F Score
       type: f_score
-      value: 0.8489469314
+      value: 0.8461034709
   - task:
-      name: POS
+      name: TAG
       type: token-classification
     metrics:
-    - name: POS Accuracy
+    - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9736958159
+      value: 0.9730543186
   - task:
-      name: SENTER
+      name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
-    - name: SENTER Precision
-      type: precision
-      value: 0.9144345238
-    - name: SENTER Recall
-      type: recall
-      value: 0.8918134442
-    - name: SENTER F Score
+    - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.9029823331
+      value: 0.9190946961
   - task:
-      name: UNLABELED_DEPENDENCIES
+      name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
-    - name: Unlabeled Dependencies Accuracy
-      type: accuracy
-      value: 0.9186827918
+    - name: Labeled Attachment Score (LAS)
+      type: f_score
+      value: 0.9007569337
   - task:
-      name: LABELED_DEPENDENCIES
+      name: SENTS
       type: token-classification
     metrics:
-    - name: Labeled Dependencies Accuracy
-      type: accuracy
-      value: 0.9186827918
+    - name: Sentences F-Score
+      type: f_score
+      value: 0.9055959278
 ---
 ### Details: https://spacy.io/models/en#en_core_web_md
 
@@ -63,8 +57,8 @@ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
 | Feature | Description |
 | --- | --- |
 | **Name** | `en_core_web_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`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Vectors** | 684830 keys, 20000 unique vectors (300 dimensions) |
@@ -76,13 +70,12 @@ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
 
 <details>
 
-<summary>View label scheme (114 labels for 4 components)</summary>
+<summary>View label scheme (112 labels for 3 components)</summary>
 
 | Component | Labels |
 | --- | --- |
 | **`tagger`** | `$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `ADD`, `AFX`, `CC`, `CD`, `DT`, `EX`, `FW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `LS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, ```` |
 | **`parser`** | `ROOT`, `acl`, `acomp`, `advcl`, `advmod`, `agent`, `amod`, `appos`, `attr`, `aux`, `auxpass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `csubj`, `csubjpass`, `dative`, `dep`, `det`, `dobj`, `expl`, `intj`, `mark`, `meta`, `neg`, `nmod`, `npadvmod`, `nsubj`, `nsubjpass`, `nummod`, `oprd`, `parataxis`, `pcomp`, `pobj`, `poss`, `preconj`, `predet`, `prep`, `prt`, `punct`, `quantmod`, `relcl`, `xcomp` |
-| **`senter`** | `I`, `S` |
 | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
 
 </details>
@@ -95,12 +88,12 @@ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
 | `TOKEN_P` | 99.57 |
 | `TOKEN_R` | 99.58 |
 | `TOKEN_F` | 99.57 |
-| `TAG_ACC` | 97.37 |
-| `SENTS_P` | 91.44 |
-| `SENTS_R` | 89.18 |
-| `SENTS_F` | 90.30 |
-| `DEP_UAS` | 91.87 |
-| `DEP_LAS` | 90.07 |
-| `ENTS_P` | 85.31 |
-| `ENTS_R` | 84.48 |
-| `ENTS_F` | 84.89 |
+| `TAG_ACC` | 97.31 |
+| `SENTS_P` | 91.97 |
+| `SENTS_R` | 89.19 |
+| `SENTS_F` | 90.56 |
+| `DEP_UAS` | 91.91 |
+| `DEP_LAS` | 90.08 |
+| `ENTS_P` | 85.11 |
+| `ENTS_R` | 84.11 |
+| `ENTS_F` | 84.61 |

accuracy.json

@@ -1,330 +1,330 @@
 {
-  "token_acc": 0.9993053983,
-  "token_p": 0.9956742163,
-  "token_r": 0.9957505887,
-  "token_f": 0.9957124011,
-  "tag_acc": 0.9736958159,
-  "sents_p": 0.9144345238,
-  "sents_r": 0.8918134442,
-  "sents_f": 0.9029823331,
-  "dep_uas": 0.9186827918,
-  "dep_las": 0.9006556195,
+  "token_acc": 0.9993092439,
+  "token_p": 0.9956819193,
+  "token_r": 0.9957659295,
+  "token_f": 0.9957239226,
+  "tag_acc": 0.9730543186,
+  "sents_p": 0.9196707931,
+  "sents_r": 0.891945379,
+  "sents_f": 0.9055959278,
+  "dep_uas": 0.9190946961,
+  "dep_las": 0.9007569337,
   "dep_las_per_type": {
     "prep": {
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-      "r": 0.8659836843,
-      "f": 0.8614240691
+      "p": 0.8560125989,
+      "r": 0.8662113451,
+      "f": 0.8610817743
     },
     "det": {
-      "p": 0.9770765472,
-      "r": 0.9784310528,
-      "f": 0.9777533309
+      "p": 0.9772801303,
+      "r": 0.978634918,
+      "f": 0.977957055
     },
     "pobj": {
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     },
     "nsubj": {
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+      "p": 0.9572204318,
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     "aux": {
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     },
     "advmod": {
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+      "p": 0.8565884933,
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     },
     "relcl": {
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+      "p": 0.767698328,
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     "root": {
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     "xcomp": {
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     "amod": {
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   "ents_per_type": {
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     "MONEY": {
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     "EVENT": {
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     },
     "PERCENT": {
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     },
     "LANGUAGE": {
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-      "r": 0.5,
-      "f": 0.5818181818
+      "p": 0.8333333333,
+      "r": 0.625,
+      "f": 0.7142857143
     }
   },
-  "speed": 7620.1455610511
+  "speed": 8543.7326288502
 }

config.cfg

@@ -55,7 +55,7 @@ nO = null
 @architectures = "spacy.MultiHashEmbed.v2"
 width = 96
 attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
-rows = [5000,2500,2500,2500,100]
+rows = [5000,1000,2500,2500,50]
 include_static_vectors = true
 
 [components.ner.model.tok2vec.encode]
@@ -93,8 +93,9 @@ 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"
@@ -115,12 +116,14 @@ maxout_pieces = 2
 
 [components.tagger]
 factory = "tagger"
+neg_prefix = "!"
 overwrite = false
 scorer = {"@scorers":"spacy.tagger_scorer.v1"}
 
 [components.tagger.model]
-@architectures = "spacy.Tagger.v1"
+@architectures = "spacy.Tagger.v2"
 nO = null
+normalize = false
 
 [components.tagger.model.tok2vec]
 @architectures = "spacy.Tok2VecListener.v1"
@@ -137,7 +140,7 @@ factory = "tok2vec"
 @architectures = "spacy.MultiHashEmbed.v2"
 width = ${components.tok2vec.model.encode:width}
 attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
-rows = [5000,2500,2500,2500,100]
+rows = [5000,1000,2500,2500,50]
 include_static_vectors = true
 
 [components.tok2vec.model.encode]
@@ -174,7 +177,7 @@ 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

en_core_web_md-any-py3-none-any.whl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9728ab892904819567e70720a3887b59ded8721f14cc27b3d13273ad2b8ba458
-size 45684441
+oid sha256:473336f57d587ffdacc16d62af025d5cf67b629a6146f6f476ebcd9f3471a913
+size 33453509

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"en",
   "name":"core_web_md",
-  "version":"3.2.0",
+  "version":"3.3.0",
   "description":"English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.",
   "author":"Explosion",
   "email":"contact@explosion.ai",
   "url":"https://explosion.ai",
   "license":"MIT",
-  "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,
@@ -117,10 +117,6 @@
       "relcl",
       "xcomp"
     ],
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-      "I",
-      "S"
-    ],
     "attribute_ruler":[
 
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@@ -169,334 +165,334 @@
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ner/model

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parser/model

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parser/moves

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