Update spaCy pipeline

README.md

@@ -14,62 +14,62 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.7234209494
+      value: 0.7232530596
     - name: NER Recall
       type: recall
-      value: 0.7084133692
+      value: 0.7038033039
     - name: NER F Score
       type: f_score
-      value: 0.7158385093
+      value: 0.7133956386
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9566645165
+      value: 0.9557849059
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9314427238
+      value: 0.9282856599
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9412420102
+      value: 0.9405383217
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9483097311
+      value: 0.9504793737
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.8754234099
+      value: 0.8715455315
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.8163342115
+      value: 0.812886226
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9614873838
+      value: 0.960106383
 ---
 ### Details: https://spacy.io/models/ro#ro_core_news_sm
 
@@ -78,8 +78,8 @@ Romanian pipeline optimized for CPU. Components: tok2vec, tagger, parser, lemmat
 | Feature | Description |
 | --- | --- |
 | **Name** | `ro_core_news_sm` |
-| **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`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
 | **Components** | `tok2vec`, `tagger`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
@@ -105,22 +105,22 @@ Romanian pipeline optimized for CPU. Components: tok2vec, tagger, parser, lemmat
 
 | Type | Score |
 | --- | --- |
-| `TOKEN_ACC` | 99.90 |
+| `TOKEN_ACC` | 99.80 |
 | `TOKEN_P` | 99.67 |
 | `TOKEN_R` | 99.57 |
 | `TOKEN_F` | 99.59 |
-| `TAG_ACC` | 95.67 |
-| `SENTS_P` | 96.02 |
-| `SENTS_R` | 96.28 |
-| `SENTS_F` | 96.15 |
-| `DEP_UAS` | 87.54 |
-| `DEP_LAS` | 81.63 |
-| `LEMMA_ACC` | 94.83 |
-| `POS_ACC` | 93.14 |
-| `MORPH_ACC` | 94.12 |
-| `MORPH_MICRO_P` | 98.41 |
-| `MORPH_MICRO_R` | 95.24 |
-| `MORPH_MICRO_F` | 96.50 |
-| `ENTS_P` | 72.34 |
-| `ENTS_R` | 70.84 |
-| `ENTS_F` | 71.58 |
+| `TAG_ACC` | 95.58 |
+| `SENTS_P` | 96.01 |
+| `SENTS_R` | 96.01 |
+| `SENTS_F` | 96.01 |
+| `DEP_UAS` | 87.15 |
+| `DEP_LAS` | 81.29 |
+| `LEMMA_ACC` | 95.05 |
+| `POS_ACC` | 92.83 |
+| `MORPH_ACC` | 94.05 |
+| `MORPH_MICRO_P` | 98.20 |
+| `MORPH_MICRO_R` | 95.20 |
+| `MORPH_MICRO_F` | 96.43 |
+| `ENTS_P` | 72.33 |
+| `ENTS_R` | 70.38 |
+| `ENTS_F` | 71.34 |

accuracy.json

@@ -1,129 +1,129 @@
 {
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+  "token_acc": 0.9980078514,
   "token_p": 0.9967350492,
   "token_r": 0.9957244934,
   "token_f": 0.9959492157,
-  "tag_acc": 0.9566645165,
-  "sents_p": 0.9602122016,
-  "sents_r": 0.9627659574,
-  "sents_f": 0.9614873838,
-  "dep_uas": 0.8754234099,
-  "dep_las": 0.8163342115,
+  "tag_acc": 0.9557849059,
+  "sents_p": 0.960106383,
+  "sents_r": 0.960106383,
+  "sents_f": 0.960106383,
+  "dep_uas": 0.8715455315,
+  "dep_las": 0.812886226,
   "dep_las_per_type": {
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@@ -131,9 +131,9 @@
       "f": 0.0
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@@ -141,24 +141,24 @@
       "f": 0.0
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@@ -171,35 +171,35 @@
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@@ -215,108 +215,113 @@
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@@ -324,34 +329,34 @@
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     "PartType": {
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@@ -364,90 +369,90 @@
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   "ents_per_type": {
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 }

config.cfg

@@ -65,8 +65,8 @@ 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 = false
 
 [components.ner.model.tok2vec.encode]
@@ -150,8 +150,8 @@ 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 = false
 
 [components.tok2vec.model.encode]
@@ -193,6 +193,7 @@ 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:cb2f7a5b6c7ae0189bee91ae169e1e6aca62b127afef1a9cac7c747b8df7a580
+oid sha256:72f5662b6280287a60364dc31c62588d2751088bd429f6efa1452661e981bee6
 size 444314

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"ro",
   "name":"core_news_sm",
-  "version":"3.4.0",
+  "version":"3.5.0",
   "description":"Romanian pipeline optimized for CPU. Components: tok2vec, tagger, parser, lemmatizer (trainable_lemmatizer), senter, ner, attribute_ruler.",
   "author":"Explosion",
   "email":"contact@explosion.ai",
   "url":"https://explosion.ai",
   "license":"CC BY-SA 4.0",
-  "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":0,
     "vectors":0,
@@ -590,131 +590,131 @@
     "senter"
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@@ -722,9 +722,9 @@
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@@ -732,24 +732,24 @@
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@@ -762,35 +762,35 @@
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@@ -806,108 +806,113 @@
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@@ -915,34 +920,34 @@
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