Update spacy pipeline to 3.2.3

README.md

@@ -48,7 +48,7 @@ model-index:
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9864127835
+      value: 0.9866998373
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
@@ -76,7 +76,7 @@ Hungarian transformer pipeline (huBert) for HuSpaCy. Components: transformer, se
 | Feature | Description |
 | --- | --- |
 | **Name** | `hu_core_news_trf` |
-| **Version** | `3.2.2` |
+| **Version** | `3.2.3` |
 | **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` |
@@ -118,7 +118,7 @@ Hungarian transformer pipeline (huBert) for HuSpaCy. Components: transformer, se
 | `MORPH_MICRO_P` | 97.75 |
 | `MORPH_MICRO_R` | 97.09 |
 | `MORPH_MICRO_F` | 97.42 |
-| `LEMMA_ACC` | 98.64 |
+| `LEMMA_ACC` | 98.67 |
 | `BOUND_DEP_LAS` | 87.15 |
 | `BOUND_DEP_UAS` | 91.19 |
 | `DEP_UAS` | 91.17 |

config.cfg

@@ -1,8 +1,8 @@
 [paths]
-tagger_model = "models/hu_core_news_trf-tagger-3.2.2/model-best"
-parser_model = "models/hu_core_news_trf-parser-3.2.2/model-best"
-ner_model = "models/hu_core_news_trf-ner-3.2.2/model-best"
-lemmatizer_lookups = "models/hu_core_news_trf-lookup-lemmatizer-3.2.2"
+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"
 train = null
 dev = null
 vectors = null

experimental_arc_labeler/model

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d9fc521c6aeb9d827e2439456aa44b28d4bd49845762e1ceda7d98e486a9e34d
+oid sha256:6766ec8d448ad7b1961de1c446bec7fe20a054c0b11036c8d5195c71ce3a6422
 size 447476722

experimental_arc_predicter/model

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0c866a73a8ee7d3d8d53c8b6dc57b7929f16b501585cc0c6a15b06dc4b739dac
+oid sha256:204e39d95b3b85566b3ecfa93e76bd68a5eff472a943d818291106bcd1713c91
 size 445185682

hu_core_news_trf-any-py3-none-any.whl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:75d7e1530fc472e1de19b73adb3da3cac98175a0c93498b423ee790aa4e220e6
-size 1674182137
+oid sha256:fa7e920f9196f7c3411067d6df7700e8faec899904d8400c2de4b9c3d4a75a4c
+size 1674792854

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_trf",
-  "version":"3.2.2",
+  "version":"3.2.3",
   "description":"Hungarian transformer pipeline (huBert) for HuSpaCy. Components: transformer, senter, tagger, morphologizer, lemmatizer, parser, ner",
   "author":"SzegedAI, MILAB",
   "email":"gyorgy@orosz.link",
@@ -7428,7 +7428,7 @@
         "f":0.8
       }
     },
-    "lemma_acc":0.9864127835,
+    "lemma_acc":0.9866998373,
     "bound_dep_las":0.8715420695,
     "bound_dep_uas":0.9119364411,
     "dep_uas":0.911718264,
@@ -7685,7 +7685,7 @@
         "f":0.7774566474
       }
     },
-    "speed":3603.1106108543
+    "speed":2713.3425138331
   },
   "sources":[
     {

ner/model

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3e513721ef78ad46ad0a39817bf0b82dd7b3ca2273155680f9cc6696f092d2a1
+oid sha256:05a5d26473b01120bb1297317fa93d48b9eff5f5bd99b437503d5bc7ec550d02
 size 443626204

transformer/model

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ef1e9f39f0358ae8d9c4dc8e1427fc4ecf054e284ac5bba614cf9194266e2914
+oid sha256:4099222b1978cd4f3e754116b4865c9b35d1bcd47b6055c3b0d53e7b4d0c0feb
 size 443344004