Update spacy pipeline to 3.6.0

README.md

@@ -14,55 +14,55 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.8557640751
+      value: 0.8479221927
     - name: NER Recall
       type: recall
-      value: 0.8417721519
+      value: 0.8430028129
     - name: NER F Score
       type: f_score
-      value: 0.8487104493
+      value: 0.8454553469
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9633953778
+      value: 0.9640156953
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.964398507
+      value: 0.9655469423
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9338692698
+      value: 0.9339649727
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9724428284
+      value: 0.9730169362
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.7978436658
+      value: 0.8103583867
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.7223314055
+      value: 0.743357861
   - task:
       name: SENTS
       type: token-classification
@@ -76,12 +76,12 @@ Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morpholog
 | Feature | Description |
 | --- | --- |
 | **Name** | `hu_core_news_md` |
-| **Version** | `3.5.2` |
-| **spaCy** | `>=3.5.0,<3.6.0` |
+| **Version** | `3.6.0` |
+| **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` |
 | **Vectors** | -1 keys, 200000 unique vectors (100 dimensions) |
-| **Sources** | [UD Hungarian Szeged](https://universaldependencies.org/treebanks/hu_szeged/index.html) (Richárd Farkas, Katalin Simkó, Zsolt Szántó, Viktor Varga, Veronika Vincze (MTA-SZTE Research Group on Artificial Intelligence))<br />[NYTK-NerKor Corpus](https://github.com/nytud/NYTK-NerKor) (Eszter Simon, Noémi Vadász (Department of Language Technology and Applied Linguistics))<br />[hunNERwiki](http://hlt.sztaki.hu/resources/hunnerwiki.html) (Eszter Simon, Dávid Márk Nemeskey (HLT Group, Budapest University of Technology and Economics))<br />[Szeged NER Corpus](https://rgai.inf.u-szeged.hu/node/130) (György Szarvas, Richárd Farkas, László Felföldi, András Kocsor, János Csirik (MTA-SZTE Research Group on Artificial Intelligence)) |
+| **Sources** | [UD Hungarian Szeged](https://universaldependencies.org/treebanks/hu_szeged/index.html) (Richárd Farkas, Katalin Simkó, Zsolt Szántó, Viktor Varga, Veronika Vincze (MTA-SZTE Research Group on Artificial Intelligence))<br />[NYTK-NerKor Corpus](https://github.com/nytud/NYTK-NerKor) (Eszter Simon, Noémi Vadász (Department of Language Technology and Applied Linguistics))<br />[Szeged NER Corpus](https://rgai.inf.u-szeged.hu/node/130) (György Szarvas, Richárd Farkas, László Felföldi, András Kocsor, János Csirik (MTA-SZTE Research Group on Artificial Intelligence))<br />[Hungarian lg Floret vectors](https://huggingface.co/huspacy/hu_vectors_web_lg) (Szeged AI) |
 | **License** | `cc-by-sa-4.0` |
 | **Author** | [SzegedAI, MILAB](https://github.com/huspacy/huspacy) |
 
@@ -111,15 +111,15 @@ Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morpholog
 | `SENTS_P` | 98.21 |
 | `SENTS_R` | 97.55 |
 | `SENTS_F` | 97.88 |
-| `TAG_ACC` | 96.34 |
-| `POS_ACC` | 96.44 |
-| `MORPH_ACC` | 93.39 |
-| `MORPH_MICRO_P` | 96.76 |
-| `MORPH_MICRO_R` | 95.92 |
-| `MORPH_MICRO_F` | 96.34 |
-| `LEMMA_ACC` | 97.24 |
-| `DEP_UAS` | 79.78 |
-| `DEP_LAS` | 72.23 |
-| `ENTS_P` | 85.58 |
-| `ENTS_R` | 84.18 |
-| `ENTS_F` | 84.87 |
+| `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 |

config.cfg

@@ -1,8 +1,8 @@
 [paths]
-parser_model = "models/hu_core_news_md-parser-3.5.2/model-best"
-ner_model = "models/hu_core_news_md-ner-3.5.2/model-best"
-lemmatizer_lookups = "models/hu_core_news_md-lookup-lemmatizer-3.5.2"
-tagger_model = "models/hu_core_news_md-tagger-3.5.2/model-best"
+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"
 train = null
 dev = null
 vectors = null
@@ -32,6 +32,7 @@ source = ${paths.lemmatizer_lookups}
 [components.morphologizer]
 factory = "morphologizer"
 extend = false
+label_smoothing = 0.0
 overwrite = true
 scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
 
@@ -118,6 +119,7 @@ upstream = "*"
 
 [components.tagger]
 factory = "tagger"
+label_smoothing = 0.0
 neg_prefix = "!"
 overwrite = false
 scorer = {"@scorers":"spacy.tagger_scorer.v1"}

hu_core_news_md-any-py3-none-any.whl

@@ -1,3 +1,3 @@
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-oid sha256:7077e87b0093f3d1d2ce8786327346307a2f19405a6ecf5327c667853810baf7
-size 126880310
+oid sha256:f9d6fccef1fb7c657e44b246f8eadd6cc6336078522b7fb4b3a61af548667728
+size 126873936

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"hu",
   "name":"core_news_md",
-  "version":"3.5.2",
+  "version":"3.6.0",
   "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":">=3.5.0,<3.6.0",
-  "spacy_git_version":"Unknown",
+  "spacy_version":">=3.6.0,<3.7.0",
+  "spacy_git_version":"6fc153a26",
   "vectors":{
     "width":100,
     "vectors":200000,
@@ -1271,82 +1271,82 @@
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-    "morph_micro_f":0.9633993698,
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+    "pos_acc":0.9655469423,
+    "morph_acc":0.9339649727,
+    "morph_micro_p":0.9693147835,
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@@ -1364,114 +1364,114 @@
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