Update spacy pipeline to 3.2.4

README.md

@@ -14,13 +14,13 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.9094751673
+      value: 0.9024603036
     - name: NER Recall
       type: recall
-      value: 0.9078762307
+      value: 0.9092827004
     - name: NER F Score
       type: f_score
-      value: 0.9086749956
+      value: 0.9058586566
   - task:
       name: TAG
       type: token-classification
@@ -76,7 +76,7 @@ Hungarian transformer pipeline (huBert) for HuSpaCy. Components: transformer, se
 | Feature | Description |
 | --- | --- |
 | **Name** | `hu_core_news_trf` |
-| **Version** | `3.2.3` |
+| **Version** | `3.2.4` |
 | **spaCy** | `>=3.2.4,<3.3.0` |
 | **Default Pipeline** | `transformer`, `senter`, `tagger`, `morphologizer`, `lookup_lemmatizer`, `experimental_edit_tree_lemmatizer`, `lemma_smoother`, `experimental_arc_predicter`, `experimental_arc_labeler`, `ner` |
 | **Components** | `transformer`, `senter`, `tagger`, `morphologizer`, `lookup_lemmatizer`, `experimental_edit_tree_lemmatizer`, `lemma_smoother`, `experimental_arc_predicter`, `experimental_arc_labeler`, `ner` |
@@ -123,6 +123,6 @@ Hungarian transformer pipeline (huBert) for HuSpaCy. Components: transformer, se
 | `BOUND_DEP_UAS` | 91.19 |
 | `DEP_UAS` | 91.17 |
 | `DEP_LAS` | 87.13 |
-| `ENTS_P` | 90.95 |
-| `ENTS_R` | 90.79 |
-| `ENTS_F` | 90.87 |
+| `ENTS_P` | 90.25 |
+| `ENTS_R` | 90.93 |
+| `ENTS_F` | 90.59 |

config.cfg

@@ -1,8 +1,8 @@
 [paths]
-tagger_model = "models/hu_core_news_trf-tagger-3.2.3/model-best"
-parser_model = "models/hu_core_news_trf-parser-3.2.3/model-best"
-ner_model = "models/hu_core_news_trf-ner-3.2.3/model-best"
-lemmatizer_lookups = "models/hu_core_news_trf-lookup-lemmatizer-3.2.3"
+tagger_model = "models/hu_core_news_trf-tagger-3.2.4/model-best"
+parser_model = "models/hu_core_news_trf-parser-3.2.4/model-best"
+ner_model = "models/hu_core_news_trf-ner-3.2.4/model-best"
+lemmatizer_lookups = "models/hu_core_news_trf-lookup-lemmatizer-3.2.4"
 train = null
 dev = null
 vectors = null

experimental_arc_labeler/model

@@ -1,3 +1,3 @@
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experimental_arc_predicter/model

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hu_core_news_trf-any-py3-none-any.whl

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meta.json

@@ -1,7 +1,7 @@
 {
   "lang":"hu",
   "name":"core_news_trf",
-  "version":"3.2.3",
+  "version":"3.2.4",
   "description":"Hungarian transformer pipeline (huBert) for HuSpaCy. Components: transformer, senter, tagger, morphologizer, lemmatizer, parser, ner",
   "author":"SzegedAI, MILAB",
   "email":"[email protected]",
@@ -7660,32 +7660,32 @@
         "f":0.0
       }
     },
-    "ents_p":0.9094751673,
-    "ents_r":0.9078762307,
-    "ents_f":0.9086749956,
+    "ents_p":0.9024603036,
+    "ents_r":0.9092827004,
+    "ents_f":0.9058586566,
     "ents_per_type":{
       "ORG":{
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-        "r":0.9415855355,
-        "f":0.9223433243
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       "PER":{
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+        "f":0.9405149453
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       "LOC":{
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       }
     },
-    "speed":2713.3425138331
+    "speed":1022.3707819495
   },
   "sources":[
     {

ner/model

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transformer/model

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