Update spaCy pipeline

Browse files

Files changed (15) hide show

README.md +27 -21
accuracy.json +173 -167
config.cfg +30 -26
meta.json +176 -170
morphologizer/cfg +3 -1
morphologizer/model +0 -0
ner/model +0 -0
parser/model +0 -0
ru_core_news_md-any-py3-none-any.whl +2 -2
senter/cfg +1 -1
senter/model +0 -0
tok2vec/model +2 -2
tokenizer +2 -2
vocab/strings.json +2 -2
vocab/vectors.cfg +3 -0

README.md CHANGED Viewed

@@ -14,47 +14,47 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.949790795
     - name: NER Recall
       type: recall
-      value: 0.9552263929
     - name: NER F Score
       type: f_score
-      value: 0.9525008392
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS Accuracy
       type: accuracy
-      value: 0.9886634845
   - task:
       name: SENTER
       type: token-classification
     metrics:
     - name: SENTER Precision
       type: precision
-      value: 0.9979071537
     - name: SENTER Recall
       type: recall
       value: 0.9979071537
     - name: SENTER F Score
       type: f_score
-      value: 0.9979071537
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Dependencies Accuracy
       type: accuracy
-      value: 0.9600935899
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Dependencies Accuracy
       type: accuracy
-      value: 0.9600935899
 ---
 ### Details: https://spacy.io/models/ru#ru_core_news_md
@@ -63,8 +63,8 @@ Russian pipeline optimized for CPU. Components: tok2vec, morphologizer, parser,
 | Feature | Description |
 | --- | --- |
 | **Name** | `ru_core_news_md` |
-| **Version** | `3.1.0` |
-| **spaCy** | `>=3.1.0,<3.2.0` |
 | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Vectors** | 500002 keys, 20000 unique vectors (300 dimensions) |
@@ -92,15 +92,21 @@ Russian pipeline optimized for CPU. Components: tok2vec, morphologizer, parser,
 | Type | Score |
 | --- | --- |
 | `TOKEN_ACC` | 99.85 |
-| `TAG_ACC` | 98.87 |
-| `POS_ACC` | 98.87 |
-| `MORPH_ACC` | 97.30 |
-| `LEMMA_ACC` | 0.00 |
-| `DEP_UAS` | 96.01 |
-| `DEP_LAS` | 94.82 |
-| `ENTS_P` | 94.98 |
-| `ENTS_R` | 95.52 |
-| `ENTS_F` | 95.25 |
-| `SENTS_P` | 99.79 |
 | `SENTS_R` | 99.79 |
-| `SENTS_F` | 99.79 |

     metrics:
     - name: NER Precision
       type: precision
+      value: 0.9443423032
     - name: NER Recall
       type: recall
+      value: 0.9510183471
     - name: NER F Score
       type: f_score
+      value: 0.9476685676
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS Accuracy
       type: accuracy
+      value: 0.988392276
   - task:
       name: SENTER
       type: token-classification
     metrics:
     - name: SENTER Precision
       type: precision
+      value: 0.9984770607
     - name: SENTER Recall
       type: recall
       value: 0.9979071537
     - name: SENTER F Score
       type: f_score
+      value: 0.9981920259
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Dependencies Accuracy
       type: accuracy
+      value: 0.9586296141
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Dependencies Accuracy
       type: accuracy
+      value: 0.9586296141
 ---
 ### Details: https://spacy.io/models/ru#ru_core_news_md
 | Feature | Description |
 | --- | --- |
 | **Name** | `ru_core_news_md` |
+| **Version** | `3.2.0` |
+| **spaCy** | `>=3.2.0,<3.3.0` |
 | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Vectors** | 500002 keys, 20000 unique vectors (300 dimensions) |
 | Type | Score |
 | --- | --- |
 | `TOKEN_ACC` | 99.85 |
+| `TOKEN_P` | 97.28 |
+| `TOKEN_R` | 98.34 |
+| `TOKEN_F` | 97.81 |
+| `POS_ACC` | 98.84 |
+| `MORPH_ACC` | 97.18 |
+| `MORPH_MICRO_P` | 98.77 |
+| `MORPH_MICRO_R` | 98.10 |
+| `MORPH_MICRO_F` | 98.44 |
+| `SENTS_P` | 99.85 |
 | `SENTS_R` | 99.79 |
+| `SENTS_F` | 99.82 |
+| `DEP_UAS` | 95.86 |
+| `DEP_LAS` | 94.68 |
+| `TAG_ACC` | 98.84 |
+| `LEMMA_ACC` | 0.00 |
+| `ENTS_P` | 94.43 |
+| `ENTS_R` | 95.10 |
+| `ENTS_F` | 94.77 |

accuracy.json CHANGED Viewed

@@ -1,73 +1,68 @@
 {
   "token_acc": 0.9984532137,
-  "tag_acc": 0.9886634845,
-  "pos_acc": 0.9886634845,
-  "morph_acc": 0.9729688695,
-  "lemma_acc": 2.15267e-05,
-  "dep_uas": 0.9600935899,
-  "dep_las": 0.9481834814,
-  "ents_p": 0.949790795,
-  "ents_r": 0.9552263929,
-  "ents_f": 0.9525008392,
-  "sents_p": 0.9979071537,
-  "sents_r": 0.9979071537,
-  "sents_f": 0.9979071537,
-  "speed": 3599.3392895478,
   "morph_per_feat": {
     "Animacy": {
-      "p": 0.9891119329,
-      "r": 0.9796814139,
-      "f": 0.9843740873
     },
     "Case": {
-      "p": 0.9768867925,
-      "r": 0.9703697093,
-      "f": 0.9736173452
     },
     "Gender": {
-      "p": 0.9880915352,
-      "r": 0.9816143201,
-      "f": 0.9848422778
     },
     "Number": {
-      "p": 0.995640389,
-      "r": 0.9893208272,
-      "f": 0.9924705482
     },
     "Degree": {
-      "p": 0.9838181073,
-      "r": 0.9862422998,
-      "f": 0.9850287121
     },
     "Aspect": {
-      "p": 0.9858618815,
-      "r": 0.9777977528,
-      "f": 0.9818132587
     },
     "Mood": {
-      "p": 0.9983858952,
-      "r": 0.9969005703,
-      "f": 0.9976426799
     },
     "Tense": {
-      "p": 0.9905679934,
-      "r": 0.9816146261,
-      "f": 0.9860709864
     },
     "VerbForm": {
-      "p": 0.994924778,
-      "r": 0.9867865169,
-      "f": 0.9908389368
     },
     "Voice": {
-      "p": 0.9903933297,
-      "r": 0.9822921348,
-      "f": 0.9863260977
     },
     "StyleVariant": {
-      "p": 0.997029703,
-      "r": 0.9930966469,
-      "f": 0.9950592885
     },
     "Polarity": {
       "p": 1.0,
@@ -75,14 +70,14 @@
       "f": 1.0
     },
     "Person": {
-      "p": 0.9986388385,
-      "r": 0.993006993,
-      "f": 0.9958149531
     },
     "Foreign": {
-      "p": 0.9654178674,
-      "r": 0.8693771626,
-      "f": 0.9148839326
     },
     "Hyph": {
       "p": 0.0,
@@ -90,171 +85,176 @@
       "f": 0.0
     }
   },
   "dep_las_per_type": {
     "case": {
-      "p": 0.9919818885,
-      "r": 0.9880672743,
-      "f": 0.9900207117
     },
     "parataxis": {
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-      "f": 0.9877224707
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     "xcomp": {
-      "p": 0.9547511312,
-      "r": 0.962006079,
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     "conj": {
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     "nsubj:pass": {
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     "acl:relcl": {
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     "csubj": {
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@@ -262,19 +262,19 @@
       "f": 0.9424460432
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     "expl": {
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       "r": 0.7894736842,
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     "nummod:entity": {
       "p": 1.0,
@@ -287,21 +287,27 @@
       "f": 0.0
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   },
   "ents_per_type": {
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     "LOC": {
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     "ORG": {
-      "p": 0.9105339105,
-      "r": 0.9265785609,
-      "f": 0.9184861718
     }
-  }
 }

 {
   "token_acc": 0.9984532137,
+  "token_p": 0.9728314309,
+  "token_r": 0.9833731269,
+  "token_f": 0.9780738751,
+  "pos_acc": 0.988392276,
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+  "morph_micro_p": 0.9877460918,
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   "morph_per_feat": {
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     },
     "csubj:pass": {
+      "p": 0.8181818182,
+      "r": 0.8181818182,
+      "f": 0.8181818182
     },
     "nummod:entity": {
       "p": 1.0,
       "f": 0.0
     }
   },
+  "tag_acc": 0.988392276,
+  "lemma_acc": 2.15267e-05,
+  "ents_p": 0.9443423032,
+  "ents_r": 0.9510183471,
+  "ents_f": 0.9476685676,
   "ents_per_type": {
     "PER": {
+      "p": 0.955667789,
+      "r": 0.9562043796,
+      "f": 0.955936009
     },
     "LOC": {
+      "p": 0.9753554502,
+      "r": 0.9721303732,
+      "f": 0.9737402413
     },
     "ORG": {
+      "p": 0.9033955045,
+      "r": 0.9246206559,
+      "f": 0.9138848573
     }
+  },
+  "speed": 3721.8314141713
 }

config.cfg CHANGED Viewed

@@ -1,10 +1,8 @@
 [paths]
-train = "corpus/ru-core-news/train.spacy"
-dev = "corpus/ru-core-news/dev.spacy"
-vectors = "corpus/ru_vectors"
-raw = null
 init_tok2vec = null
-vocab_data = null
 [system]
 gpu_allocator = null
@@ -24,6 +22,7 @@ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
 [components.attribute_ruler]
 factory = "attribute_ruler"
 validate = false
 [components.lemmatizer]
@@ -31,9 +30,13 @@ factory = "lemmatizer"
 mode = "pymorphy2"
 model = null
 overwrite = false
 [components.morphologizer]
 factory = "morphologizer"
 [components.morphologizer.model]
 @architectures = "spacy.Tagger.v1"
@@ -48,6 +51,7 @@ upstream = "tok2vec"
 factory = "ner"
 incorrect_spans_key = null
 moves = null
 update_with_oracle_cut_size = 100
 [components.ner.model]
@@ -65,8 +69,8 @@ nO = null
 [components.ner.model.tok2vec.embed]
 @architectures = "spacy.MultiHashEmbed.v2"
 width = 96
-attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
-rows = [5000,2500,2500,2500]
 include_static_vectors = true
 [components.ner.model.tok2vec.encode]
@@ -81,6 +85,7 @@ factory = "parser"
 learn_tokens = false
 min_action_freq = 30
 moves = null
 update_with_oracle_cut_size = 100
 [components.parser.model]
@@ -99,6 +104,8 @@ upstream = "tok2vec"
 [components.senter]
 factory = "senter"
 [components.senter.model]
 @architectures = "spacy.Tagger.v1"
@@ -110,8 +117,8 @@ nO = null
 [components.senter.model.tok2vec.embed]
 @architectures = "spacy.MultiHashEmbed.v2"
 width = 16
-attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
-rows = [1000,500,500,500]
 include_static_vectors = true
 [components.senter.model.tok2vec.encode]
@@ -130,8 +137,8 @@ factory = "tok2vec"
 [components.tok2vec.model.embed]
 @architectures = "spacy.MultiHashEmbed.v2"
 width = ${components.tok2vec.model.encode:width}
-attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
-rows = [5000,2500,2500,2500]
 include_static_vectors = true
 [components.tok2vec.model.encode]
@@ -145,22 +152,19 @@ maxout_pieces = 3
 [corpora.dev]
 @readers = "spacy.Corpus.v1"
-limit = 0
-max_length = 0
-path = ${paths:dev}
 gold_preproc = false
 augmenter = null
 [corpora.train]
 @readers = "spacy.Corpus.v1"
-path = ${paths:train}
-max_length = 5000
 gold_preproc = false
 limit = 0
-[corpora.train.augmenter]
-@augmenters = "spacy.lower_case.v1"
-level = 0.1
 [training]
 train_corpus = "corpora.train"
@@ -191,9 +195,8 @@ compound = 1.001
 t = 0.0
 [training.logger]
-@loggers = "spacy.WandbLogger.v1"
-project_name = "spacy-v3.0.0a2"
-remove_config_values = []
 [training.optimizer]
 @optimizers = "Adam.v1"
@@ -216,16 +219,17 @@ dep_las_per_type = null
 sents_p = null
 sents_r = null
 sents_f = 0.02
-lemma_acc = 0.33
-ents_f = 0.33
 ents_p = 0.0
 ents_r = 0.0
 ents_per_type = null
 [pretraining]
 [initialize]
-vocab_data = ${paths.vocab_data}
 vectors = ${paths.vectors}
 init_tok2vec = ${paths.init_tok2vec}
 before_init = null

 [paths]
+train = null
+dev = null
+vectors = null
 init_tok2vec = null
 [system]
 gpu_allocator = null
 [components.attribute_ruler]
 factory = "attribute_ruler"
+scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
 validate = false
 [components.lemmatizer]
 mode = "pymorphy2"
 model = null
 overwrite = false
+scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
 [components.morphologizer]
 factory = "morphologizer"
+extend = false
+overwrite = true
+scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
 [components.morphologizer.model]
 @architectures = "spacy.Tagger.v1"
 factory = "ner"
 incorrect_spans_key = null
 moves = null
+scorer = {"@scorers":"spacy.ner_scorer.v1"}
 update_with_oracle_cut_size = 100
 [components.ner.model]
 [components.ner.model.tok2vec.embed]
 @architectures = "spacy.MultiHashEmbed.v2"
 width = 96
+attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
+rows = [5000,2500,2500,2500,100]
 include_static_vectors = true
 [components.ner.model.tok2vec.encode]
 learn_tokens = false
 min_action_freq = 30
 moves = null
+scorer = {"@scorers":"spacy.parser_scorer.v1"}
 update_with_oracle_cut_size = 100
 [components.parser.model]
 [components.senter]
 factory = "senter"
+overwrite = false
+scorer = {"@scorers":"spacy.senter_scorer.v1"}
 [components.senter.model]
 @architectures = "spacy.Tagger.v1"
 [components.senter.model.tok2vec.embed]
 @architectures = "spacy.MultiHashEmbed.v2"
 width = 16
+attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
+rows = [1000,500,500,500,50]
 include_static_vectors = true
 [components.senter.model.tok2vec.encode]
 [components.tok2vec.model.embed]
 @architectures = "spacy.MultiHashEmbed.v2"
 width = ${components.tok2vec.model.encode:width}
+attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
+rows = [5000,2500,2500,2500,100]
 include_static_vectors = true
 [components.tok2vec.model.encode]
 [corpora.dev]
 @readers = "spacy.Corpus.v1"
+path = ${paths.dev}
 gold_preproc = false
+max_length = 0
+limit = 0
 augmenter = null
 [corpora.train]
 @readers = "spacy.Corpus.v1"
+path = ${paths.train}
 gold_preproc = false
+max_length = 0
 limit = 0
+augmenter = null
 [training]
 train_corpus = "corpora.train"
 t = 0.0
 [training.logger]
+@loggers = "spacy.ConsoleLogger.v1"
+progress_bar = false
 [training.optimizer]
 @optimizers = "Adam.v1"
 sents_p = null
 sents_r = null
 sents_f = 0.02
+lemma_acc = 0.5
+ents_f = 0.16
 ents_p = 0.0
 ents_r = 0.0
 ents_per_type = null
+speed = 0.0
 [pretraining]
 [initialize]
+vocab_data = null
 vectors = ${paths.vectors}
 init_tok2vec = ${paths.init_tok2vec}
 before_init = null

meta.json CHANGED Viewed

@@ -1,14 +1,14 @@
 {
   "lang":"ru",
   "name":"core_news_md",
-  "version":"3.1.0",
   "description":"Russian pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.",
   "author":"Explosion",
   "email":"contact@explosion.ai",
   "url":"https://explosion.ai",
   "license":"MIT",
-  "spacy_version":">=3.1.0,<3.2.0",
-  "spacy_git_version":"caba63b74",
   "vectors":{
     "width":300,
     "vectors":20000,
@@ -957,74 +957,69 @@
   ],
   "performance":{
     "token_acc":0.9984532137,
-    "tag_acc":0.9886634845,
-    "pos_acc":0.9886634845,
-    "morph_acc":0.9729688695,
-    "lemma_acc":0.0000215267,
-    "dep_uas":0.9600935899,
-    "dep_las":0.9481834814,
-    "ents_p":0.949790795,
-    "ents_r":0.9552263929,
-    "ents_f":0.9525008392,
-    "sents_p":0.9979071537,
-    "sents_r":0.9979071537,
-    "sents_f":0.9979071537,
-    "speed":3599.3392895478,
     "morph_per_feat":{
       "Animacy":{
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       "Aspect":{
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-        "r":0.9777977528,
-        "f":0.9818132587
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-        "r":0.9930966469,
-        "f":0.9950592885
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       "Polarity":{
         "p":1.0,
@@ -1032,14 +1027,14 @@
         "f":1.0
       },
       "Person":{
-        "p":0.9986388385,
-        "r":0.993006993,
-        "f":0.9958149531
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-        "f":0.9148839326
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       "Hyph":{
         "p":0.0,
@@ -1047,171 +1042,176 @@
         "f":0.0
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     "dep_las_per_type":{
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       "csubj":{
         "p":0.9632352941,
@@ -1219,19 +1219,19 @@
         "f":0.9424460432
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         "r":0.7894736842,
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@@ -1244,23 +1244,29 @@
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     "ents_per_type":{
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   },
   "sources":[
     {

 {
   "lang":"ru",
   "name":"core_news_md",
+  "version":"3.2.0",
   "description":"Russian pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.",
   "author":"Explosion",
   "email":"contact@explosion.ai",
   "url":"https://explosion.ai",
   "license":"MIT",
+  "spacy_version":">=3.2.0,<3.3.0",
+  "spacy_git_version":"bb26550e2",
   "vectors":{
     "width":300,
     "vectors":20000,
   ],
   "performance":{
     "token_acc":0.9984532137,
+    "token_p":0.9728314309,
+    "token_r":0.9833731269,
+    "token_f":0.9780738751,
+    "pos_acc":0.988392276,
+    "morph_acc":0.9717554561,
+    "morph_micro_p":0.9877460918,
+    "morph_micro_r":0.9809963107,
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     "morph_per_feat":{
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       "Case":{
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     "dep_las_per_type":{
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       "nsubj":{
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       "nummod:gov":{
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