Update spaCy pipeline

README.md

@@ -14,62 +14,62 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.7459540836
+      value: 0.7486792453
     - name: NER Recall
       type: recall
-      value: 0.7614291202
+      value: 0.7621974645
     - name: NER F Score
       type: f_score
-      value: 0.7536121673
+      value: 0.7553778793
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9607411968
+      value: 0.9628522004
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9368570029
+      value: 0.9367770732
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9453191427
+      value: 0.9477819802
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9534699622
+      value: 0.9532354062
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.8857306436
+      value: 0.8855708908
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.8315664011
+      value: 0.8341279799
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9648774023
+      value: 0.9607451763
 ---
 ### Details: https://spacy.io/models/ro#ro_core_news_md
 
@@ -78,8 +78,8 @@ Romanian pipeline optimized for CPU. Components: tok2vec, tagger, parser, lemmat
 | Feature | Description |
 | --- | --- |
 | **Name** | `ro_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`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
 | **Components** | `tok2vec`, `tagger`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
 | **Vectors** | 500000 keys, 20000 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` | 96.07 |
-| `SENTS_P` | 96.17 |
-| `SENTS_R` | 96.81 |
-| `SENTS_F` | 96.49 |
-| `DEP_UAS` | 88.57 |
-| `DEP_LAS` | 83.16 |
-| `LEMMA_ACC` | 95.35 |
-| `POS_ACC` | 93.69 |
-| `MORPH_ACC` | 94.53 |
-| `MORPH_MICRO_P` | 98.69 |
-| `MORPH_MICRO_R` | 95.52 |
-| `MORPH_MICRO_F` | 96.79 |
-| `ENTS_P` | 74.60 |
-| `ENTS_R` | 76.14 |
-| `ENTS_F` | 75.36 |
+| `TAG_ACC` | 96.29 |
+| `SENTS_P` | 96.14 |
+| `SENTS_R` | 96.01 |
+| `SENTS_F` | 96.07 |
+| `DEP_UAS` | 88.56 |
+| `DEP_LAS` | 83.41 |
+| `LEMMA_ACC` | 95.32 |
+| `POS_ACC` | 93.68 |
+| `MORPH_ACC` | 94.78 |
+| `MORPH_MICRO_P` | 98.74 |
+| `MORPH_MICRO_R` | 95.62 |
+| `MORPH_MICRO_F` | 96.89 |
+| `ENTS_P` | 74.87 |
+| `ENTS_R` | 76.22 |
+| `ENTS_F` | 75.54 |

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": 0.9607411968,
-  "sents_p": 0.9616908851,
-  "sents_r": 0.9680851064,
-  "sents_f": 0.9648774023,
-  "dep_uas": 0.8857306436,
-  "dep_las": 0.8315664011,
+  "tag_acc": 0.9628522004,
+  "sents_p": 0.9613848202,
+  "sents_r": 0.960106383,
+  "sents_f": 0.9607451763,
+  "dep_uas": 0.8855708908,
+  "dep_las": 0.8341279799,
   "dep_las_per_type": {
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     "case": {
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     "fixed": {
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+      "f": 0.424742268
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@@ -131,9 +131,9 @@
       "f": 0.0
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     "ccomp": {
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@@ -141,24 +141,24 @@
       "f": 0.0
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     "iobj": {
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     "flat": {
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     "cop": {
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@@ -170,25 +170,35 @@
       "r": 0.0,
       "f": 0.0
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-    "obl:pmod": {
+    "expl:pv": {
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+      "r": 0.7971014493,
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+    "compound": {
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+    "expl": {
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-    "expl:pv": {
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@@ -196,9 +206,14 @@
       "f": 0.0
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@@ -206,29 +221,19 @@
       "f": 0.0
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@@ -236,37 +241,37 @@
       "f": 0.0
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+  "lemma_acc": 0.9532354062,
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+  "morph_acc": 0.9477819802,
+  "morph_micro_p": 0.9874480828,
+  "morph_micro_r": 0.9561581183,
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   "morph_per_feat": {
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     "Gender": {
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@@ -274,44 +279,44 @@
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@@ -324,19 +329,19 @@
       "f": 0.9900199601
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     "Mood": {
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     "Position": {
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@@ -344,9 +349,9 @@
       "f": 0.9955156951
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     "PartType": {
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@@ -359,79 +364,79 @@
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   "ents_per_type": {
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     "NUMERIC_VALUE": {
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@@ -439,10 +444,10 @@
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+  "speed": 9203.8451338116
 }

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 sha256:156fc7b7a94044a2c3bb53900684cd605a155fe5b018b204050d3ed6e5838343
+oid sha256:b028fd3ade6cbada8c48c2279d2731ae8cd004e0eec047358ece407f1c2a6989
 size 444314

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"ro",
   "name":"core_news_md",
-  "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",
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+  "spacy_git_version":"9e0322de1",
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     "vectors":20000,
@@ -590,131 +590,131 @@
     "senter"
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@@ -761,25 +761,35 @@
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@@ -787,9 +797,14 @@
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@@ -797,29 +812,19 @@
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@@ -827,37 +832,37 @@
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@@ -865,44 +870,44 @@
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