Update spaCy pipeline

README.md

@@ -14,62 +14,62 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.838028169
+      value: 0.828425096
     - name: NER Recall
       type: recall
-      value: 0.8342893563
+      value: 0.8247291268
     - name: NER F Score
       type: f_score
-      value: 0.8361545832
+      value: 0.8265729799
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9824705811
+      value: 0.9816474605
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9767367565
+      value: 0.9763909862
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.8970513509
+      value: 0.8950409384
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9366919628
+      value: 0.9361695953
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.8919060234
+      value: 0.8889276191
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.8162603893
+      value: 0.8139397108
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9624604251
+      value: 0.9633152174
 ---
 ### Details: https://spacy.io/models/pl#pl_core_news_md
 
@@ -78,8 +78,8 @@ Polish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, l
 | Feature | Description |
 | --- | --- |
 | **Name** | `pl_core_news_md` |
-| **Version** | `3.4.0` |
-| **spaCy** | `>=3.4.0,<3.5.0` |
+| **Version** | `3.5.0` |
+| **spaCy** | `>=3.5.0,<3.6.0` |
 | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `tagger`, `attribute_ruler`, `ner` |
 | **Components** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `tagger`, `senter`, `attribute_ruler`, `ner` |
 | **Vectors** | 500000 keys, 20000 unique vectors (300 dimensions) |
@@ -106,22 +106,22 @@ Polish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, l
 
 | Type | Score |
 | --- | --- |
-| `TOKEN_ACC` | 99.99 |
+| `TOKEN_ACC` | 99.98 |
 | `TOKEN_P` | 99.63 |
 | `TOKEN_R` | 99.83 |
 | `TOKEN_F` | 99.73 |
-| `POS_ACC` | 97.67 |
-| `MORPH_ACC` | 89.71 |
-| `MORPH_MICRO_P` | 94.96 |
-| `MORPH_MICRO_R` | 94.78 |
-| `MORPH_MICRO_F` | 94.87 |
-| `SENTS_P` | 96.42 |
-| `SENTS_R` | 96.07 |
-| `SENTS_F` | 96.25 |
-| `DEP_UAS` | 89.19 |
-| `DEP_LAS` | 81.63 |
-| `LEMMA_ACC` | 93.67 |
-| `TAG_ACC` | 98.25 |
-| `ENTS_P` | 83.80 |
-| `ENTS_R` | 83.43 |
-| `ENTS_F` | 83.62 |
+| `POS_ACC` | 97.64 |
+| `MORPH_ACC` | 89.50 |
+| `MORPH_MICRO_P` | 94.87 |
+| `MORPH_MICRO_R` | 94.74 |
+| `MORPH_MICRO_F` | 94.81 |
+| `SENTS_P` | 96.64 |
+| `SENTS_R` | 96.03 |
+| `SENTS_F` | 96.33 |
+| `DEP_UAS` | 88.89 |
+| `DEP_LAS` | 81.39 |
+| `LEMMA_ACC` | 93.62 |
+| `TAG_ACC` | 98.16 |
+| `ENTS_P` | 82.84 |
+| `ENTS_R` | 82.47 |
+| `ENTS_F` | 82.66 |

accuracy.json

@@ -1,330 +1,315 @@
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@@ -427,29 +412,34 @@
       "f": 0.8
     },
     "advmod:arg": {
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@@ -457,14 +447,14 @@
       "f": 0.0
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@@ -476,53 +466,63 @@
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 }

config.cfg

@@ -81,8 +81,8 @@ nO = null
 [components.ner.model.tok2vec.embed]
 @architectures = "spacy.MultiHashEmbed.v2"
 width = 96
-attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
-rows = [5000,1000,2500,2500,50]
+attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
+rows = [5000,1000,2500,2500]
 include_static_vectors = true
 
 [components.ner.model.tok2vec.encode]
@@ -158,8 +158,8 @@ normalize = false
 [components.tagger.model.tok2vec.embed]
 @architectures = "spacy.MultiHashEmbed.v2"
 width = 96
-attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
-rows = [5000,1000,2500,2500,50]
+attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY","IS_SPACE"]
+rows = [5000,1000,2500,2500,50,50]
 include_static_vectors = true
 
 [components.tagger.model.tok2vec.encode]
@@ -178,8 +178,8 @@ factory = "tok2vec"
 [components.tok2vec.model.embed]
 @architectures = "spacy.MultiHashEmbed.v2"
 width = ${components.tok2vec.model.encode:width}
-attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
-rows = [5000,1000,2500,2500,50]
+attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY","IS_SPACE"]
+rows = [5000,1000,2500,2500,50,50]
 include_static_vectors = true
 
 [components.tok2vec.model.encode]
@@ -221,6 +221,7 @@ eval_frequency = 1000
 frozen_components = []
 before_to_disk = null
 annotating_components = []
+before_update = null
 
 [training.batcher]
 @batchers = "spacy.batch_by_words.v1"

lemmatizer/model

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5bc2e779245d860b599ba3d7b1f0315fb75a51d34697df51f6092c8cf435e2bf
+oid sha256:016b7466aef71df699b92680ef1969ec1636a9032456acdc751107e11398921d
 size 829986

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"pl",
   "name":"core_news_md",
-  "version":"3.4.0",
+  "version":"3.5.0",
   "description":"Polish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, lemmatizer (trainable_lemmatizer), tagger, senter, ner.",
   "author":"Explosion",
   "email":"contact@explosion.ai",
   "url":"https://explosion.ai",
   "license":"GNU GPL 3.0",
-  "spacy_version":">=3.4.0,<3.5.0",
-  "spacy_git_version":"dd038b536",
+  "spacy_version":">=3.5.0,<3.6.0",
+  "spacy_git_version":"9e0322de1",
   "vectors":{
     "width":300,
     "vectors":20000,
@@ -1780,332 +1780,317 @@
     "senter"
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vocab/strings.json

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