Update spacy pipeline to 3.4.1

README.md

@@ -48,7 +48,7 @@ model-index:
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9711032437
+      value: 0.9725385131
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
@@ -76,7 +76,7 @@ Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morpholog
 | Feature | Description |
 | --- | --- |
 | **Name** | `hu_core_news_lg` |
-| **Version** | `3.4.0` |
+| **Version** | `3.4.1` |
 | **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` |
@@ -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` | 98.44 |
-| `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 |
+| `SENTS_P` | 97.33 |
+| `SENTS_R` | 97.33 |
+| `SENTS_F` | 97.33 |
+| `TAG_ACC` | 96.51 |
+| `POS_ACC` | 96.40 |
+| `MORPH_ACC` | 93.21 |
+| `MORPH_MICRO_P` | 96.46 |
+| `MORPH_MICRO_R` | 95.71 |
+| `MORPH_MICRO_F` | 96.08 |
+| `LEMMA_ACC` | 97.25 |
+| `DEP_UAS` | 82.19 |
+| `DEP_LAS` | 75.36 |
+| `ENTS_P` | 87.11 |
+| `ENTS_R` | 83.86 |
+| `ENTS_F` | 85.45 |

config.cfg

@@ -1,7 +1,7 @@
 [paths]
-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"
+parser_model = "models/hu_core_news_lg-parser-3.4.1/model-best"
+ner_model = "models/hu_core_news_lg-ner-3.4.1/model-best"
+lemmatizer_lookups = "models/hu_core_news_lg-lookup-lemmatizer-3.4.1"
 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:a53a5744c2048e14b9889c0dcb88375c90d7843d682cc4fef3d733a004f4292e
-size 403067232
+oid sha256:f079abed131fecaa24aed633d39282234d375428e37d4cc83cc6c44c201d6db4
+size 403677948

lookup_lemmatizer/lookups.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c7aaa1cfd45a0afd57ada8ccc690ee182485a151bdb133b7b8c9276647ab9e60
-size 2745978
+oid sha256:feec80a6080dae4271271b47126eeed546a7ab6b77025ecbca8f35fd8e5fb161
+size 8992457

meta.json

@@ -1,7 +1,7 @@
 {
   "lang":"hu",
   "name":"core_news_lg",
-  "version":"3.4.0",
+  "version":"3.4.1",
   "description":"Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morphologizer, lemmatizer, parser, ner",
   "author":"SzegedAI, MILAB",
   "email":"[email protected]",
@@ -1370,7 +1370,7 @@
         "f":0.0
       }
     },
-    "lemma_acc":0.9711032437,
+    "lemma_acc":0.9725385131,
     "dep_uas":0.8218578007,
     "dep_las":0.7535662136,
     "dep_las_per_type":{
@@ -1625,7 +1625,7 @@
         "f":0.645316253
       }
     },
-    "speed":522.1357122831
+    "speed":622.2586431165
   },
   "sources":[
     {