Update spacy pipeline to 3.7.0

README.md

@@ -14,74 +14,74 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.8585339943
+      value: 0.8459219858
     - name: NER Recall
       type: recall
-      value: 0.8524964838
+      value: 0.8387834037
     - name: NER F Score
       type: f_score
-      value: 0.8555045872
+      value: 0.8423375706
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9695664657
+      value: 0.9694736842
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.969328676
+      value: 0.9686124402
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9461192459
+      value: 0.9439180783
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.974834944
+      value: 0.9745478902
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.8140300006
+      value: 0.8147198216
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.7415379468
+      value: 0.743867083
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9755011136
+      value: 0.9754464286
 ---
 Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morphologizer, lemmatizer, parser, ner
 
 | Feature | Description |
 | --- | --- |
 | **Name** | `hu_core_news_md` |
-| **Version** | `3.6.1` |
-| **spaCy** | `>=3.6.0,<3.7.0` |
+| **Version** | `3.7.0` |
+| **spaCy** | `>=3.7.0,<3.8.0` |
 | **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 />[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) |
+| **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) |
 
@@ -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` | 97.55 |
-| `SENTS_R` | 97.55 |
-| `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 |
+| `SENTS_P` | 97.76 |
+| `SENTS_R` | 97.33 |
+| `SENTS_F` | 97.54 |
+| `TAG_ACC` | 96.95 |
+| `POS_ACC` | 96.86 |
+| `MORPH_ACC` | 94.39 |
+| `MORPH_MICRO_P` | 97.64 |
+| `MORPH_MICRO_R` | 96.75 |
+| `MORPH_MICRO_F` | 97.19 |
+| `LEMMA_ACC` | 97.45 |
+| `DEP_UAS` | 81.47 |
+| `DEP_LAS` | 74.39 |
+| `ENTS_P` | 84.59 |
+| `ENTS_R` | 83.88 |
+| `ENTS_F` | 84.23 |

config.cfg

@@ -1,8 +1,8 @@
 [paths]
-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"
+parser_model = "models/hu_core_news_md-parser-3.7.0/model-best"
+ner_model = "models/hu_core_news_md-ner-3.7.0/model-best"
+lemmatizer_lookups = "models/hu_core_news_md-lookup-lemmatizer-3.7.0"
+tagger_model = "models/hu_core_news_md-tagger-3.7.0/model-best"
 train = null
 dev = null
 vectors = null
@@ -21,6 +21,7 @@ before_creation = null
 after_creation = null
 after_pipeline_creation = null
 batch_size = 1000
+vectors = {"@vectors":"spacy.Vectors.v1"}
 
 [components]
 

hu_core_news_md-any-py3-none-any.whl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9c04cff940d2a9fc3125ab972ee8f444334a867fe4bc5e188d11851bc5aceaed
-size 127014450
+oid sha256:ad3d006acf6cbc45cfb45080d50b54116a881b0992d6dbd90e377ca9ae56fd0d
+size 127001547

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"hu",
   "name":"core_news_md",
-  "version":"3.6.1",
+  "version":"3.7.0",
   "description":"Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morphologizer, lemmatizer, parser, ner",
   "author":"SzegedAI, MILAB",
   "email":"[email protected]",
   "url":"https://github.com/huspacy/huspacy",
   "license":"cc-by-sa-4.0",
-  "spacy_version":">=3.6.0,<3.7.0",
-  "spacy_git_version":"6fc153a26",
+  "spacy_version":">=3.7.0,<3.8.0",
+  "spacy_git_version":"a89eae928",
   "vectors":{
     "width":100,
     "vectors":200000,
@@ -1268,90 +1268,85 @@
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+    "tag_acc":0.9694736842,
+    "pos_acc":0.9686124402,
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@@ -1368,120 +1363,125 @@
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