Update spacy pipeline to 3.4.0

README.md

@@ -14,70 +14,70 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.847826087
+      value: 0.8710737765
     - name: NER Recall
       type: recall
-      value: 0.8570675105
+      value: 0.8386075949
     - name: NER F Score
       type: f_score
-      value: 0.8524217521
+      value: 0.8545324257
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9677018039
+      value: 0.9651179482
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9675104072
+      value: 0.9639695679
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9386544167
+      value: 0.9321466169
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9716773514
+      value: 0.9711032437
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.8069939475
+      value: 0.8218578007
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.736004483
+      value: 0.7535662136
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9821029083
+      value: 0.9732739421
 ---
 Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morphologizer, lemmatizer, parser, ner
 
 | Feature | Description |
 | --- | --- |
 | **Name** | `hu_core_news_lg` |
-| **Version** | `3.3.1` |
-| **spaCy** | `>=3.3.0,<3.4.0` |
+| **Version** | `3.4.0` |
+| **spaCy** | `>=3.4.1,<3.5.0` |
 | **Default Pipeline** | `tok2vec`, `senter`, `tagger`, `morphologizer`, `lookup_lemmatizer`, `lemmatizer`, `lemma_smoother`, `parser`, `ner` |
 | **Components** | `tok2vec`, `senter`, `tagger`, `morphologizer`, `lookup_lemmatizer`, `lemmatizer`, `lemma_smoother`, `parser`, `ner` |
 | **Vectors** | -1 keys, 200000 unique vectors (300 dimensions) |
@@ -108,18 +108,18 @@ Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morpholog
 | `TOKEN_P` | 99.86 |
 | `TOKEN_R` | 99.93 |
 | `TOKEN_F` | 99.89 |
-| `SENTS_P` | 97.77 |
-| `SENTS_R` | 97.55 |
-| `SENTS_F` | 97.66 |
-| `TAG_ACC` | 96.31 |
-| `POS_ACC` | 96.34 |
-| `MORPH_ACC` | 92.89 |
-| `MORPH_MICRO_P` | 96.28 |
-| `MORPH_MICRO_R` | 95.58 |
-| `MORPH_MICRO_F` | 95.93 |
-| `LEMMA_ACC` | 97.25 |
-| `DEP_UAS` | 81.13 |
-| `DEP_LAS` | 74.49 |
-| `ENTS_P` | 87.15 |
-| `ENTS_R` | 83.72 |
-| `ENTS_F` | 85.40 |
+| `SENTS_P` | 98.44 |
+| `SENTS_R` | 98.22 |
+| `SENTS_F` | 98.33 |
+| `TAG_ACC` | 96.50 |
+| `POS_ACC` | 96.45 |
+| `MORPH_ACC` | 93.44 |
+| `MORPH_MICRO_P` | 96.85 |
+| `MORPH_MICRO_R` | 96.14 |
+| `MORPH_MICRO_F` | 96.49 |
+| `LEMMA_ACC` | 97.05 |
+| `DEP_UAS` | 79.50 |
+| `DEP_LAS` | 72.47 |
+| `ENTS_P` | 86.06 |
+| `ENTS_R` | 85.28 |
+| `ENTS_F` | 85.67 |

config.cfg

@@ -1,7 +1,7 @@
 [paths]
-parser_model = "models/hu_core_news_lg-parser-3.3.1/model-best"
-ner_model = "models/hu_core_news_lg-ner-3.3.1/model-best"
-lemmatizer_lookups = "models/hu_core_news_lg-lookup-lemmatizer-3.3.1"
+parser_model = "models/hu_core_news_lg-parser-3.4.0/model-best"
+ner_model = "models/hu_core_news_lg-ner-3.4.0/model-best"
+lemmatizer_lookups = "models/hu_core_news_lg-lookup-lemmatizer-3.4.0"
 train = null
 dev = null
 vectors = null

hu_core_news_lg-any-py3-none-any.whl

@@ -1,3 +1,3 @@
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-oid sha256:da2b5830c7953203b64049813cbb0f4a181aa47be42744aa800af2fe3a22f0aa
-size 403094603
+oid sha256:a53a5744c2048e14b9889c0dcb88375c90d7843d682cc4fef3d733a004f4292e
+size 403067232

lemmatizer/model

@@ -1,3 +1,3 @@
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-oid sha256:58b56ab3836952a8e612a411c2a1958630e46569225dce1cabb138e7fdc17658
+oid sha256:24e1bb7789ed97ed80b4d4424397a83a0eb324b095911a7512f17135233c2fdf
 size 64058360

meta.json

@@ -1,13 +1,13 @@
 {
   "lang":"hu",
   "name":"core_news_lg",
-  "version":"3.3.1",
+  "version":"3.4.0",
   "description":"Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morphologizer, lemmatizer, parser, ner",
   "author":"SzegedAI, MILAB",
   "email":"gyorgy@orosz.link",
   "url":"https://github.com/huspacy/huspacy",
   "license":"cc-by-sa-4.0",
-  "spacy_version":">=3.3.0,<3.4.0",
+  "spacy_version":">=3.4.1,<3.5.0",
   "spacy_git_version":"Unknown",
   "vectors":{
     "width":300,
@@ -1274,85 +1274,80 @@
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@@ -1360,9 +1355,14 @@
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@@ -1370,114 +1370,114 @@
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