Update spaCy pipeline

README.md

@@ -14,62 +14,62 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.7507507508
+      value: 0.7502799552
     - name: NER Recall
       type: recall
-      value: 0.7683442182
+      value: 0.7721859393
     - name: NER F Score
       type: f_score
-      value: 0.7594456047
+      value: 0.7610753502
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9665464567
+      value: 0.9657255109
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9392520821
+      value: 0.9395242502
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9511244026
+      value: 0.9499516228
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9583369983
+      value: 0.9575746914
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.8896207773
+      value: 0.8875784191
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.8376148803
+      value: 0.8359473024
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9686457638
+      value: 0.9699799867
 ---
 ### Details: https://spacy.io/models/ro#ro_core_news_lg
 
@@ -78,8 +78,8 @@ Romanian pipeline optimized for CPU. Components: tok2vec, tagger, parser, lemmat
 | Feature | Description |
 | --- | --- |
 | **Name** | `ro_core_news_lg` |
-| **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** | 500000 keys, 500000 unique vectors (300 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` | 96.65 |
-| `SENTS_P` | 97.19 |
-| `SENTS_R` | 96.54 |
-| `SENTS_F` | 96.86 |
-| `DEP_UAS` | 88.96 |
-| `DEP_LAS` | 83.76 |
-| `LEMMA_ACC` | 95.83 |
-| `POS_ACC` | 93.93 |
-| `MORPH_ACC` | 95.11 |
-| `MORPH_MICRO_P` | 99.00 |
-| `MORPH_MICRO_R` | 95.81 |
-| `MORPH_MICRO_F` | 97.08 |
-| `ENTS_P` | 75.08 |
-| `ENTS_R` | 76.83 |
-| `ENTS_F` | 75.94 |
+| `TAG_ACC` | 96.57 |
+| `SENTS_P` | 97.32 |
+| `SENTS_R` | 96.68 |
+| `SENTS_F` | 97.00 |
+| `DEP_UAS` | 88.76 |
+| `DEP_LAS` | 83.59 |
+| `LEMMA_ACC` | 95.76 |
+| `POS_ACC` | 93.95 |
+| `MORPH_ACC` | 95.00 |
+| `MORPH_MICRO_P` | 99.05 |
+| `MORPH_MICRO_R` | 95.76 |
+| `MORPH_MICRO_F` | 97.04 |
+| `ENTS_P` | 75.03 |
+| `ENTS_R` | 77.22 |
+| `ENTS_F` | 76.11 |

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": 0.9665464567,
-  "sents_p": 0.9718875502,
-  "sents_r": 0.9654255319,
-  "sents_f": 0.9686457638,
-  "dep_uas": 0.8896207773,
-  "dep_las": 0.8376148803,
+  "tag_acc": 0.9657255109,
+  "sents_p": 0.9732262383,
+  "sents_r": 0.9667553191,
+  "sents_f": 0.9699799867,
+  "dep_uas": 0.8875784191,
+  "dep_las": 0.8359473024,
   "dep_las_per_type": {
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     "mark": {
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     "case": {
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     "fixed": {
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@@ -131,9 +131,9 @@
       "f": 0.0
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@@ -141,74 +141,69 @@
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     "expl:pv": {
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     "expl": {
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@@ -216,15 +211,20 @@
       "f": 0.0
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     "expl:impers": {
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@@ -236,67 +236,67 @@
       "f": 0.0
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   },
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+  "lemma_acc": 0.9575746914,
+  "pos_acc": 0.9395242502,
+  "morph_acc": 0.9499516228,
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@@ -304,14 +304,14 @@
       "f": 0.9963724305
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@@ -319,19 +319,19 @@
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@@ -339,9 +339,9 @@
       "f": 0.9702970297
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     "Number[psor]": {
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@@ -359,49 +359,49 @@
       "f": 0.0
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   },
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   "ents_per_type": {
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@@ -409,40 +409,40 @@
       "f": 0.9246575342
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-  "speed": 9772.4664568833
+  "speed": 10111.6928279753
 }

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 = true
 
 [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 = true
 
 [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 sha256:6127188410c375dbe2e4efd763164e3307abbc5c842d9899660cafdecb670b82
+oid sha256:1eeda8e5ffc4a0a20415684a2c6b324aff2c5c3b5845b8e18f6a913ad352f2cc
 size 444314

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"ro",
   "name":"core_news_lg",
-  "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":300,
     "vectors":500000,
@@ -590,131 +590,131 @@
     "senter"
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@@ -722,9 +722,9 @@
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@@ -732,74 +732,69 @@
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@@ -807,15 +802,20 @@
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@@ -827,67 +827,67 @@
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@@ -910,19 +910,19 @@
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@@ -930,9 +930,9 @@
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@@ -950,49 +950,49 @@
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