Update spaCy pipeline

README.md

@@ -14,27 +14,27 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.8356510746
+      value: 0.8227383863
     - name: NER Recall
       type: recall
-      value: 0.8314465409
+      value: 0.8465408805
     - name: NER F Score
       type: f_score
-      value: 0.8335435057
+      value: 0.8344699318
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9713305562
+      value: 0.9713282143
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9798190675
+      value: 0.979409718
   - task:
       name: MORPH
       type: token-classification
@@ -48,38 +48,38 @@ model-index:
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9670526831
+      value: 0.9670499959
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.9311959654
+      value: 0.9304880245
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.9202934425
+      value: 0.9178365731
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9639727361
+      value: 0.9507246377
 ---
 ### Details: https://spacy.io/models/ja#ja_core_news_trf
 
-Japanese transformer pipeline (cl-tohoku/bert-base-japanese-char-v2). Components: transformer, morphologizer, parser, ner.
+Japanese transformer pipeline (Transformer(name='cl-tohoku/bert-base-japanese-char-v2', piece_encoder='char', stride=160, type='bert', width=768, window=216, vocab_size=6144)). Components: transformer, morphologizer, parser, ner.
 
 | Feature | Description |
 | --- | --- |
 | **Name** | `ja_core_news_trf` |
-| **Version** | `3.6.1` |
-| **spaCy** | `>=3.6.0,<3.7.0` |
+| **Version** | `3.7.2` |
+| **spaCy** | `>=3.7.0,<3.8.0` |
 | **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `ner` |
 | **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
@@ -106,21 +106,21 @@ Japanese transformer pipeline (cl-tohoku/bert-base-japanese-char-v2). Components
 | Type | Score |
 | --- | --- |
 | `TOKEN_ACC` | 99.37 |
-| `TOKEN_P` | 97.65 |
-| `TOKEN_R` | 97.90 |
-| `TOKEN_F` | 97.77 |
-| `POS_ACC` | 97.98 |
+| `TOKEN_P` | 97.64 |
+| `TOKEN_R` | 97.88 |
+| `TOKEN_F` | 97.76 |
+| `POS_ACC` | 97.94 |
 | `MORPH_ACC` | 0.00 |
 | `MORPH_MICRO_P` | 34.01 |
 | `MORPH_MICRO_R` | 98.04 |
 | `MORPH_MICRO_F` | 50.51 |
-| `SENTS_P` | 95.19 |
-| `SENTS_R` | 97.63 |
-| `SENTS_F` | 96.40 |
-| `DEP_UAS` | 93.12 |
-| `DEP_LAS` | 92.03 |
+| `SENTS_P` | 93.18 |
+| `SENTS_R` | 97.04 |
+| `SENTS_F` | 95.07 |
+| `DEP_UAS` | 93.05 |
+| `DEP_LAS` | 91.78 |
 | `TAG_ACC` | 97.13 |
-| `LEMMA_ACC` | 96.71 |
-| `ENTS_P` | 83.57 |
-| `ENTS_R` | 83.14 |
-| `ENTS_F` | 83.35 |
+| `LEMMA_ACC` | 96.70 |
+| `ENTS_P` | 82.27 |
+| `ENTS_R` | 84.65 |
+| `ENTS_F` | 83.45 |

accuracy.json

@@ -1,9 +1,9 @@
 {
-  "token_acc": 0.9937494927,
-  "token_p": 0.9764591282,
-  "token_r": 0.9790021974,
-  "token_f": 0.9777290092,
-  "pos_acc": 0.9798190675,
+  "token_acc": 0.9936678032,
+  "token_p": 0.9763760351,
+  "token_r": 0.9788394238,
+  "token_f": 0.9776061776,
+  "pos_acc": 0.979409718,
   "morph_acc": 0.0,
   "morph_micro_p": 0.3401360544,
   "morph_micro_r": 0.9803921569,
@@ -25,66 +25,66 @@
       "f": 0.0
     }
   },
-  "sents_p": 0.9519230769,
-  "sents_r": 0.9763313609,
-  "sents_f": 0.9639727361,
-  "dep_uas": 0.9311959654,
-  "dep_las": 0.9202934425,
+  "sents_p": 0.9318181818,
+  "sents_r": 0.9704142012,
+  "sents_f": 0.9507246377,
+  "dep_uas": 0.9304880245,
+  "dep_las": 0.9178365731,
   "dep_las_per_type": {
     "cc": {
-      "p": 0.8936170213,
-      "r": 0.875,
-      "f": 0.8842105263
+      "p": 0.8723404255,
+      "r": 0.8541666667,
+      "f": 0.8631578947
     },
     "compound": {
-      "p": 0.9544917258,
-      "r": 0.9103720406,
-      "f": 0.9319099827
+      "p": 0.9507125891,
+      "r": 0.9024802706,
+      "f": 0.9259687681
     },
     "obl": {
-      "p": 0.8436724566,
-      "r": 0.8489388265,
-      "f": 0.8462974487
+      "p": 0.8445273632,
+      "r": 0.847690387,
+      "f": 0.846105919
     },
     "case": {
-      "p": 0.9832317073,
-      "r": 0.9802431611,
-      "f": 0.9817351598
+      "p": 0.9813048455,
+      "r": 0.9772036474,
+      "f": 0.9792499524
     },
     "dislocated": {
-      "p": 0.6666666667,
-      "r": 0.6153846154,
-      "f": 0.64
+      "p": 0.5454545455,
+      "r": 0.4615384615,
+      "f": 0.5
     },
     "nsubj": {
-      "p": 0.8618677043,
-      "r": 0.8502879079,
-      "f": 0.8560386473
+      "p": 0.8700787402,
+      "r": 0.8483685221,
+      "f": 0.8590864917
     },
     "nmod": {
-      "p": 0.9235588972,
-      "r": 0.8619883041,
-      "f": 0.8917120387
+      "p": 0.8964241677,
+      "r": 0.8502923977,
+      "f": 0.8727490996
     },
     "root": {
-      "p": 0.9359223301,
-      "r": 0.9506903353,
-      "f": 0.9432485323
+      "p": 0.9300567108,
+      "r": 0.9704142012,
+      "f": 0.9498069498
     },
     "aux": {
-      "p": 0.9765698219,
-      "r": 0.9675023213,
-      "f": 0.9720149254
+      "p": 0.9747663551,
+      "r": 0.9684308264,
+      "f": 0.9715882627
     },
     "advcl": {
-      "p": 0.7379310345,
-      "r": 0.7213483146,
-      "f": 0.7295454545
+      "p": 0.7568807339,
+      "r": 0.7415730337,
+      "f": 0.7491486947
     },
     "mark": {
-      "p": 0.9756592292,
-      "r": 0.962,
-      "f": 0.9687814703
+      "p": 0.9757575758,
+      "r": 0.966,
+      "f": 0.9708542714
     },
     "fixed": {
       "p": 0.9661921708,
@@ -92,14 +92,14 @@
       "f": 0.976618705
     },
     "acl": {
-      "p": 0.8942731278,
-      "r": 0.8923076923,
-      "f": 0.8932893289
+      "p": 0.8711790393,
+      "r": 0.8769230769,
+      "f": 0.874041621
     },
     "obj": {
-      "p": 0.9539877301,
-      "r": 0.9395770393,
-      "f": 0.9467275495
+      "p": 0.9630769231,
+      "r": 0.9456193353,
+      "f": 0.9542682927
     },
     "nummod": {
       "p": 0.987012987,
@@ -107,131 +107,131 @@
       "f": 0.9411764706
     },
     "advmod": {
-      "p": 0.7537313433,
-      "r": 0.7214285714,
-      "f": 0.7372262774
+      "p": 0.7352941176,
+      "r": 0.7142857143,
+      "f": 0.7246376812
     },
     "amod": {
-      "p": 0.9375,
+      "p": 0.9090909091,
       "r": 0.8108108108,
-      "f": 0.8695652174
+      "f": 0.8571428571
     },
     "cop": {
-      "p": 0.9764705882,
-      "r": 0.9651162791,
-      "f": 0.9707602339
+      "p": 0.9647058824,
+      "r": 0.9534883721,
+      "f": 0.9590643275
     },
     "ccomp": {
-      "p": 0.9047619048,
-      "r": 0.8636363636,
-      "f": 0.8837209302
+      "p": 0.9,
+      "r": 0.8181818182,
+      "f": 0.8571428571
     },
     "det": {
       "p": 1.0,
-      "r": 0.9811320755,
-      "f": 0.9904761905
+      "r": 0.9622641509,
+      "f": 0.9807692308
     },
     "csubj": {
-      "p": 0.7333333333,
+      "p": 0.7857142857,
       "r": 0.9166666667,
-      "f": 0.8148148148
+      "f": 0.8461538462
     },
     "dep": {
-      "p": 0.25,
+      "p": 0.2857142857,
       "r": 0.2857142857,
-      "f": 0.2666666667
+      "f": 0.2857142857
     }
   },
-  "tag_acc": 0.9713305562,
-  "lemma_acc": 0.9670526831,
-  "ents_p": 0.8356510746,
-  "ents_r": 0.8314465409,
-  "ents_f": 0.8335435057,
+  "tag_acc": 0.9713282143,
+  "lemma_acc": 0.9670499959,
+  "ents_p": 0.8227383863,
+  "ents_r": 0.8465408805,
+  "ents_f": 0.8344699318,
   "ents_per_type": {
     "DATE": {
-      "p": 0.9727272727,
-      "r": 0.9816513761,
-      "f": 0.9771689498
+      "p": 0.9464285714,
+      "r": 0.9724770642,
+      "f": 0.9592760181
     },
     "ORG": {
-      "p": 0.7906976744,
-      "r": 0.7445255474,
-      "f": 0.7669172932
+      "p": 0.6918238994,
+      "r": 0.802919708,
+      "f": 0.7432432432
     },
     "TITLE_AFFIX": {
-      "p": 0.9230769231,
-      "r": 0.8,
+      "p": 0.8181818182,
+      "r": 0.9,
       "f": 0.8571428571
     },
     "PERSON": {
-      "p": 0.8865248227,
-      "r": 0.8992805755,
-      "f": 0.8928571429
+      "p": 0.9270072993,
+      "r": 0.9136690647,
+      "f": 0.9202898551
     },
     "GPE": {
-      "p": 0.8404255319,
-      "r": 0.8404255319,
-      "f": 0.8404255319
+      "p": 0.84375,
+      "r": 0.8617021277,
+      "f": 0.8526315789
     },
     "PRODUCT": {
-      "p": 0.625,
-      "r": 0.5952380952,
-      "f": 0.6097560976
+      "p": 0.5869565217,
+      "r": 0.6428571429,
+      "f": 0.6136363636
     },
     "TIME": {
-      "p": 1.0,
+      "p": 0.8,
       "r": 1.0,
-      "f": 1.0
+      "f": 0.8888888889
     },
     "QUANTITY": {
-      "p": 0.875,
+      "p": 0.8630136986,
       "r": 0.9545454545,
-      "f": 0.9130434783
+      "f": 0.9064748201
     },
     "NORP": {
-      "p": 0.6875,
-      "r": 0.6875,
-      "f": 0.6875
+      "p": 0.6666666667,
+      "r": 0.625,
+      "f": 0.6451612903
     },
     "ORDINAL": {
-      "p": 0.64,
-      "r": 0.7272727273,
-      "f": 0.6808510638
+      "p": 0.6538461538,
+      "r": 0.7727272727,
+      "f": 0.7083333333
     },
     "WORK_OF_ART": {
-      "p": 0.8,
-      "r": 0.7058823529,
-      "f": 0.75
+      "p": 0.8461538462,
+      "r": 0.6470588235,
+      "f": 0.7333333333
     },
     "CARDINAL": {
       "p": 1.0,
       "r": 0.5,
       "f": 0.6666666667
     },
-    "LOC": {
-      "p": 0.5714285714,
-      "r": 0.8,
-      "f": 0.6666666667
-    },
     "PERCENT": {
       "p": 1.0,
-      "r": 1.0,
-      "f": 1.0
+      "r": 0.8571428571,
+      "f": 0.9230769231
     },
     "EVENT": {
-      "p": 0.9130434783,
-      "r": 0.8076923077,
-      "f": 0.8571428571
+      "p": 0.9583333333,
+      "r": 0.8846153846,
+      "f": 0.92
     },
     "FAC": {
-      "p": 0.7179487179,
-      "r": 0.7567567568,
-      "f": 0.7368421053
+      "p": 0.9285714286,
+      "r": 0.7027027027,
+      "f": 0.8
+    },
+    "LOC": {
+      "p": 0.8,
+      "r": 0.8,
+      "f": 0.8
     },
     "MOVEMENT": {
-      "p": 0.6666666667,
-      "r": 0.4,
-      "f": 0.5
+      "p": 0.3333333333,
+      "r": 0.2,
+      "f": 0.25
     },
     "LAW": {
       "p": 0.6666666667,
@@ -249,5 +249,5 @@
       "f": 1.0
     }
   },
-  "speed": 668.4231187225
+  "speed": 567.0833083438
 }

config.cfg

@@ -16,6 +16,7 @@ before_creation = null
 after_creation = null
 after_pipeline_creation = null
 batch_size = 64
+vectors = {"@vectors":"spacy.Vectors.v1"}
 
 [nlp.tokenizer]
 @tokenizers = "spacy.ja.JapaneseTokenizer"
@@ -40,10 +41,11 @@ nO = null
 normalize = false
 
 [components.morphologizer.model.tok2vec]
-@architectures = "spacy-transformers.TransformerListener.v1"
-grad_factor = 1.0
+@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
+width = ${components.transformer.model.hidden_width}
 upstream = "transformer"
 pooling = {"@layers":"reduce_mean.v1"}
+grad_factor = 1.0
 
 [components.ner]
 factory = "ner"
@@ -62,10 +64,11 @@ use_upper = false
 nO = null
 
 [components.ner.model.tok2vec]
-@architectures = "spacy-transformers.TransformerListener.v1"
-grad_factor = 1.0
+@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
+width = ${components.transformer.model.hidden_width}
 upstream = "transformer"
 pooling = {"@layers":"reduce_mean.v1"}
+grad_factor = 1.0
 
 [components.parser]
 factory = "parser"
@@ -85,35 +88,44 @@ use_upper = false
 nO = null
 
 [components.parser.model.tok2vec]
-@architectures = "spacy-transformers.TransformerListener.v1"
-grad_factor = 1.0
+@architectures = "spacy-curated-transformers.LastTransformerLayerListener.v1"
+width = ${components.transformer.model.hidden_width}
 upstream = "transformer"
 pooling = {"@layers":"reduce_mean.v1"}
+grad_factor = 1.0
 
 [components.transformer]
-factory = "transformer"
-max_batch_items = 4096
-set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
+factory = "curated_transformer"
+all_layer_outputs = false
+frozen = false
 
 [components.transformer.model]
-name = "cl-tohoku/bert-base-japanese-char-v2"
-@architectures = "spacy-transformers.TransformerModel.v3"
+@architectures = "spacy-curated-transformers.BertTransformer.v1"
+vocab_size = 6144
+hidden_width = 768
+piece_encoder = {"@architectures":"spacy-curated-transformers.CharEncoder.v1"}
+attention_probs_dropout_prob = 0.1
+hidden_act = "gelu"
+hidden_dropout_prob = 0.1
+intermediate_width = 3072
+layer_norm_eps = 0.0
+max_position_embeddings = 512
+model_max_length = 512
+num_attention_heads = 12
+num_hidden_layers = 12
+padding_idx = 0
+type_vocab_size = 2
+torchscript = false
 mixed_precision = false
-
-[components.transformer.model.get_spans]
-@span_getters = "spacy-transformers.strided_spans.v1"
-window = 128
-stride = 96
+wrapped_listener = null
 
 [components.transformer.model.grad_scaler_config]
 
-[components.transformer.model.tokenizer_config]
-use_fast = false
-word_tokenizer_type = "basic"
-subword_tokenizer_type = "character"
-model_max_length = 512
-
-[components.transformer.model.transformer_config]
+[components.transformer.model.with_spans]
+@architectures = "spacy-curated-transformers.WithStridedSpans.v1"
+stride = 160
+window = 216
+batch_size = 384
 
 [corpora]
 
@@ -150,11 +162,11 @@ annotating_components = []
 before_update = null
 
 [training.batcher]
-@batchers = "spacy.batch_by_padded.v1"
-discard_oversize = true
-get_length = null
+@batchers = "spacy.batch_by_words.v1"
+discard_oversize = false
 size = 2000
-buffer = 256
+tolerance = 0.2
+get_length = null
 
 [training.logger]
 @loggers = "spacy.ConsoleLogger.v1"
@@ -225,6 +237,18 @@ require = false
 path = "corpus/labels/parser.json"
 require = false
 
+[initialize.components.transformer]
+
+[initialize.components.transformer.encoder_loader]
+@model_loaders = "spacy-curated-transformers.HFTransformerEncoderLoader.v1"
+name = "cl-tohoku/bert-base-japanese-char-v2"
+revision = "main"
+
+[initialize.components.transformer.piecer_loader]
+@model_loaders = "spacy-curated-transformers.HFPieceEncoderLoader.v1"
+name = "cl-tohoku/bert-base-japanese-char-v2"
+revision = "main"
+
 [initialize.lookups]
 @misc = "spacy.LookupsDataLoader.v1"
 lang = ${nlp.lang}

ja_core_news_trf-any-py3-none-any.whl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bf7e1ee38ed3b7191498980ae170fc9b3dc3f6a979dc82e7e9efa8cc0b746ff4
-size 337889759
+oid sha256:85fb7bdb04bb7308ff8b728f6ecbceda198f1def857e6a922bd87ae089933d31
+size 335692251

meta.json

@@ -1,14 +1,14 @@
 {
   "lang":"ja",
   "name":"core_news_trf",
-  "version":"3.6.1",
-  "description":"Japanese transformer pipeline (cl-tohoku/bert-base-japanese-char-v2). Components: transformer, morphologizer, parser, ner.",
+  "version":"3.7.2",
+  "description":"Japanese transformer pipeline (Transformer(name='cl-tohoku/bert-base-japanese-char-v2', piece_encoder='char', stride=160, type='bert', width=768, window=216, vocab_size=6144)). Components: transformer, morphologizer, parser, ner.",
   "author":"Explosion",
   "email":"[email protected]",
   "url":"https://explosion.ai",
   "license":"CC BY-SA 3.0",
-  "spacy_version":">=3.6.0,<3.7.0",
-  "spacy_git_version":"c067b5264",
+  "spacy_version":">=3.7.0,<3.8.0",
+  "spacy_git_version":"6b4f77441",
   "vectors":{
     "width":0,
     "vectors":0,
@@ -111,11 +111,11 @@
 
   ],
   "performance":{
-    "token_acc":0.9937494927,
-    "token_p":0.9764591282,
-    "token_r":0.9790021974,
-    "token_f":0.9777290092,
-    "pos_acc":0.9798190675,
+    "token_acc":0.9936678032,
+    "token_p":0.9763760351,
+    "token_r":0.9788394238,
+    "token_f":0.9776061776,
+    "pos_acc":0.979409718,
     "morph_acc":0.0,
     "morph_micro_p":0.3401360544,
     "morph_micro_r":0.9803921569,
@@ -137,66 +137,66 @@
         "f":0.0
       }
     },
-    "sents_p":0.9519230769,
-    "sents_r":0.9763313609,
-    "sents_f":0.9639727361,
-    "dep_uas":0.9311959654,
-    "dep_las":0.9202934425,
+    "sents_p":0.9318181818,
+    "sents_r":0.9704142012,
+    "sents_f":0.9507246377,
+    "dep_uas":0.9304880245,
+    "dep_las":0.9178365731,
     "dep_las_per_type":{
       "cc":{
-        "p":0.8936170213,
-        "r":0.875,
-        "f":0.8842105263
+        "p":0.8723404255,
+        "r":0.8541666667,
+        "f":0.8631578947
       },
       "compound":{
-        "p":0.9544917258,
-        "r":0.9103720406,
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