Update spacy pipeline to 3.6.1

README.md

@@ -14,69 +14,69 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.8479221927
+      value: 0.8585339943
     - name: NER Recall
       type: recall
-      value: 0.8430028129
+      value: 0.8524964838
     - name: NER F Score
       type: f_score
-      value: 0.8454553469
+      value: 0.8555045872
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9640156953
+      value: 0.9695664657
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9655469423
+      value: 0.969328676
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9339649727
+      value: 0.9461192459
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9730169362
+      value: 0.974834944
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.8103583867
+      value: 0.8140300006
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.743357861
+      value: 0.7415379468
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9787709497
+      value: 0.9755011136
 ---
 Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morphologizer, lemmatizer, parser, ner
 
 | Feature | Description |
 | --- | --- |
 | **Name** | `hu_core_news_md` |
-| **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` | 98.21 |
+| `SENTS_P` | 97.55 |
 | `SENTS_R` | 97.55 |
-| `SENTS_F` | 97.88 |
-| `TAG_ACC` | 96.40 |
-| `POS_ACC` | 96.55 |
-| `MORPH_ACC` | 93.40 |
-| `MORPH_MICRO_P` | 96.93 |
-| `MORPH_MICRO_R` | 96.11 |
-| `MORPH_MICRO_F` | 96.52 |
-| `LEMMA_ACC` | 97.30 |
-| `DEP_UAS` | 81.04 |
-| `DEP_LAS` | 74.34 |
-| `ENTS_P` | 84.79 |
-| `ENTS_R` | 84.30 |
-| `ENTS_F` | 84.55 |
+| `SENTS_F` | 97.55 |
+| `TAG_ACC` | 96.96 |
+| `POS_ACC` | 96.93 |
+| `MORPH_ACC` | 94.61 |
+| `MORPH_MICRO_P` | 97.48 |
+| `MORPH_MICRO_R` | 96.79 |
+| `MORPH_MICRO_F` | 97.13 |
+| `LEMMA_ACC` | 97.48 |
+| `DEP_UAS` | 81.40 |
+| `DEP_LAS` | 74.15 |
+| `ENTS_P` | 85.85 |
+| `ENTS_R` | 85.25 |
+| `ENTS_F` | 85.55 |

config.cfg

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

hu_core_news_md-any-py3-none-any.whl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f9d6fccef1fb7c657e44b246f8eadd6cc6336078522b7fb4b3a61af548667728
-size 126873936
+oid sha256:9c04cff940d2a9fc3125ab972ee8f444334a867fe4bc5e188d11851bc5aceaed
+size 127014450

meta.json

@@ -1,7 +1,7 @@
 {
   "lang":"hu",
   "name":"core_news_md",
-  "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":"[email protected]",
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