Update spacy pipeline to 3.6.1

README.md

@@ -14,69 +14,69 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.8636042403
+      value: 0.8643145515
     - name: NER Recall
       type: recall
-      value: 0.8593530239
+      value: 0.8656821378
     - name: NER F Score
       type: f_score
-      value: 0.8614733874
+      value: 0.8649978041
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.964256663
+      value: 0.9688008422
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9640652663
+      value: 0.9683223275
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9316681022
+      value: 0.9386544167
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9736867285
+      value: 0.976365898
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.8163795538
+      value: 0.8291946309
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.7454391415
+      value: 0.7686371008
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9776286353
+      value: 0.9821029083
 ---
 Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morphologizer, lemmatizer, parser, ner
 
 | Feature | Description |
 | --- | --- |
 | **Name** | `hu_core_news_lg` |
-| **Version** | `3.6.0` |
+| **Version** | `3.6.1` |
 | **spaCy** | `>=3.6.0,<3.7.0` |
 | **Default Pipeline** | `tok2vec`, `senter`, `tagger`, `morphologizer`, `lookup_lemmatizer`, `trainable_lemmatizer`, `parser`, `ner` |
 | **Components** | `tok2vec`, `senter`, `tagger`, `morphologizer`, `lookup_lemmatizer`, `trainable_lemmatizer`, `parser`, `ner` |
@@ -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` | 98.20 |
-| `SENTS_R` | 97.33 |
-| `SENTS_F` | 97.76 |
-| `TAG_ACC` | 96.43 |
-| `POS_ACC` | 96.41 |
-| `MORPH_ACC` | 93.17 |
-| `MORPH_MICRO_P` | 96.48 |
-| `MORPH_MICRO_R` | 95.78 |
-| `MORPH_MICRO_F` | 96.13 |
-| `LEMMA_ACC` | 97.37 |
-| `DEP_UAS` | 81.64 |
-| `DEP_LAS` | 74.54 |
-| `ENTS_P` | 86.36 |
-| `ENTS_R` | 85.94 |
-| `ENTS_F` | 86.15 |
+| `SENTS_P` | 94.34 |
+| `SENTS_R` | 96.44 |
+| `SENTS_F` | 95.37 |
+| `TAG_ACC` | 96.70 |
+| `POS_ACC` | 96.78 |
+| `MORPH_ACC` | 93.33 |
+| `MORPH_MICRO_P` | 97.17 |
+| `MORPH_MICRO_R` | 96.36 |
+| `MORPH_MICRO_F` | 96.77 |
+| `LEMMA_ACC` | 97.57 |
+| `DEP_UAS` | 80.23 |
+| `DEP_LAS` | 73.02 |
+| `ENTS_P` | 86.40 |
+| `ENTS_R` | 85.65 |
+| `ENTS_F` | 86.02 |

config.cfg

@@ -1,8 +1,8 @@
 [paths]
-parser_model = "models/hu_core_news_lg-parser-3.6.0/model-best"
-ner_model = "models/hu_core_news_lg-ner-3.6.0/model-best"
-lemmatizer_lookups = "models/hu_core_news_lg-lookup-lemmatizer-3.6.0"
-tagger_model = "models/hu_core_news_lg-tagger-3.6.0/model-best"
+parser_model = "models/hu_core_news_lg-parser-3.6.1/model-best"
+ner_model = "models/hu_core_news_lg-ner-3.6.1/model-best"
+lemmatizer_lookups = "models/hu_core_news_lg-lookup-lemmatizer-3.6.1"
+tagger_model = "models/hu_core_news_lg-tagger-3.6.1/model-best"
 train = null
 dev = null
 vectors = null

hu_core_news_lg-any-py3-none-any.whl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8f18cfe459ea0cbdccee0dcb624defd4cc23459940d4ef1803e6a24fb0f76d6d
-size 401395351
+oid sha256:7e4fa1709ab778dd221228ca54a0479317cd1bf0277295c0e62c9cac10638613
+size 401612730

meta.json

@@ -1,7 +1,7 @@
 {
   "lang":"hu",
   "name":"core_news_lg",
-  "version":"3.6.0",
+  "version":"3.6.1",
   "description":"Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morphologizer, lemmatizer, parser, ner",
   "author":"SzegedAI, MILAB",
   "email":"gyorgy@orosz.link",
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