Update spacy pipeline to 3.2.0b3

README.md

@@ -55,14 +55,14 @@ model-index:
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.9107091588
+      value: 0.9141544645
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.8739174123
+      value: 0.8754485861
   - task:
       name: SENTS
       type: token-classification
@@ -71,13 +71,13 @@ model-index:
       type: f_score
       value: 0.9888641425
 ---
-Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morphologizer, lemmatizer, parser, ner
+Hungarian transformer pipeline (huBert) for HuSpaCy. Components: transformer, senter, tagger, morphologizer, lemmatizer, parser, ner
 
 | Feature | Description |
 | --- | --- |
 | **Name** | `hu_core_news_trf` |
-| **Version** | `3.2.0b2` |
-| **spaCy** | `>=3.2.3,<3.3.0` |
+| **Version** | `3.2.0b3` |
+| **spaCy** | `>=3.2.4,<3.3.0` |
 | **Default Pipeline** | `transformer`, `senter`, `tagger`, `morphologizer`, `experimental_edit_tree_lemmatizer`, `experimental_arc_predicter`, `experimental_arc_labeler`, `ner` |
 | **Components** | `transformer`, `senter`, `tagger`, `morphologizer`, `experimental_edit_tree_lemmatizer`, `experimental_arc_predicter`, `experimental_arc_labeler`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
@@ -119,10 +119,10 @@ Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morpholog
 | `MORPH_MICRO_R` | 96.98 |
 | `MORPH_MICRO_F` | 97.33 |
 | `LEMMA_ACC` | 98.56 |
-| `BOUND_DEP_LAS` | 87.44 |
-| `BOUND_DEP_UAS` | 91.12 |
-| `DEP_UAS` | 91.07 |
-| `DEP_LAS` | 87.39 |
+| `BOUND_DEP_LAS` | 87.53 |
+| `BOUND_DEP_UAS` | 91.40 |
+| `DEP_UAS` | 91.42 |
+| `DEP_LAS` | 87.54 |
 | `ENTS_P` | 90.73 |
 | `ENTS_R` | 91.24 |
 | `ENTS_F` | 90.99 |

config.cfg

@@ -1,7 +1,7 @@
 [paths]
-tagger_model = "models/hu_core_news_trf-tagger-3.2.0-beta.1/model-best"
-parser_model = "models/hu_core_news_trf-parser-3.2.0-beta.1/model-best"
-ner_model = "models/hu_core_news_trf-ner-3.2.0-beta.1/model-best"
+tagger_model = "models/hu_core_news_trf-tagger-3.2.0b3/model-best"
+parser_model = "models/hu_core_news_trf-parser-3.2.0b3/model-best"
+ner_model = "models/hu_core_news_trf-ner-3.2.0b3/model-best"
 train = null
 dev = null
 vectors = null
@@ -30,7 +30,7 @@ scorer = {"@scorers":"biaffine.parser_scorer.v1"}
 [components.experimental_arc_labeler.model]
 @architectures = "spacy-experimental.Bilinear.v1"
 hidden_width = 128
-mixed_precision = true
+mixed_precision = false
 nO = null
 dropout = 0.1
 grad_scaler = null
@@ -62,7 +62,7 @@ scorer = {"@scorers":"biaffine.parser_scorer.v1"}
 @architectures = "spacy-experimental.PairwiseBilinear.v1"
 hidden_width = 256
 nO = 1
-mixed_precision = true
+mixed_precision = false
 dropout = 0.1
 grad_scaler = null
 

experimental_arc_labeler/model

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experimental_arc_predicter/model

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experimental_edit_tree_lemmatizer/model

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hu_core_news_trf-any-py3-none-any.whl

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meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"hu",
   "name":"core_news_trf",
-  "version":"3.2.0b2",
-  "description":"Core Hungarian model for HuSpaCy. Components: tok2vec, senter, tagger, morphologizer, lemmatizer, parser, ner",
+  "version":"3.2.0b3",
+  "description":"Hungarian transformer pipeline (huBert) for HuSpaCy. Components: transformer, 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":">=3.2.3,<3.3.0",
-  "spacy_git_version":"99425de36",
+  "spacy_version":">=3.2.4,<3.3.0",
+  "spacy_git_version":"b50fe5ec6",
   "vectors":{
     "width":0,
     "vectors":0,
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morphologizer/model

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transformer/model

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