Update spaCy pipeline

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Files changed (14) hide show

README.md +28 -28
accuracy.json +184 -184
attribute_ruler/patterns +0 -0
config.cfg +5 -4
lemmatizer/model +1 -1
meta.json +187 -187
morphologizer/model +1 -1
nb_core_news_lg-any-py3-none-any.whl +2 -2
ner/model +2 -2
parser/model +1 -1
senter/model +1 -1
tok2vec/model +2 -2
tokenizer +1 -1
vocab/strings.json +2 -2

README.md CHANGED Viewed

@@ -14,62 +14,62 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.843731432
     - name: NER Recall
       type: recall
-      value: 0.8412322275
     - name: NER F Score
       type: f_score
-      value: 0.8424799763
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9739245423
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9739245423
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9631609401
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9722053881
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.8940871304
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.8619288706
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9444328824
 ---
 ### Details: https://spacy.io/models/nb#nb_core_news_lg
@@ -78,8 +78,8 @@ Norwegian (Bokmål) pipeline optimized for CPU. Components: tok2vec, morphologiz
 | Feature | Description |
 | --- | --- |
 | **Name** | `nb_core_news_lg` |
-| **Version** | `3.4.0` |
-| **spaCy** | `>=3.4.0,<3.5.0` |
 | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
 | **Components** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
 | **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
@@ -105,22 +105,22 @@ Norwegian (Bokmål) pipeline optimized for CPU. Components: tok2vec, morphologiz
 | Type | Score |
 | --- | --- |
-| `TOKEN_ACC` | 99.90 |
 | `TOKEN_P` | 99.71 |
 | `TOKEN_R` | 99.53 |
 | `TOKEN_F` | 99.62 |
-| `POS_ACC` | 97.39 |
-| `MORPH_ACC` | 96.32 |
-| `MORPH_MICRO_P` | 97.96 |
-| `MORPH_MICRO_R` | 97.12 |
-| `MORPH_MICRO_F` | 97.53 |
-| `SENTS_P` | 94.70 |
-| `SENTS_R` | 94.19 |
-| `SENTS_F` | 94.44 |
-| `DEP_UAS` | 89.41 |
-| `DEP_LAS` | 86.19 |
-| `LEMMA_ACC` | 97.22 |
-| `TAG_ACC` | 97.39 |
-| `ENTS_P` | 84.37 |
-| `ENTS_R` | 84.12 |
-| `ENTS_F` | 84.25 |

     metrics:
     - name: NER Precision
       type: precision
+      value: 0.848358209
     - name: NER Recall
       type: recall
+      value: 0.8418246445
     - name: NER F Score
       type: f_score
+      value: 0.8450787987
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
+      value: 0.9738284801
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
+      value: 0.9738284801
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
+      value: 0.9628456102
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
+      value: 0.9728940554
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
+      value: 0.894563298
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
+      value: 0.8641570172
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
+      value: 0.9414451827
 ---
 ### Details: https://spacy.io/models/nb#nb_core_news_lg
 | Feature | Description |
 | --- | --- |
 | **Name** | `nb_core_news_lg` |
+| **Version** | `3.5.0` |
+| **spaCy** | `>=3.5.0,<3.6.0` |
 | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
 | **Components** | `tok2vec`, `morphologizer`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
 | **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
 | Type | Score |
 | --- | --- |
+| `TOKEN_ACC` | 99.81 |
 | `TOKEN_P` | 99.71 |
 | `TOKEN_R` | 99.53 |
 | `TOKEN_F` | 99.62 |
+| `POS_ACC` | 97.38 |
+| `MORPH_ACC` | 96.28 |
+| `MORPH_MICRO_P` | 97.90 |
+| `MORPH_MICRO_R` | 97.07 |
+| `MORPH_MICRO_F` | 97.48 |
+| `SENTS_P` | 94.18 |
+| `SENTS_R` | 94.11 |
+| `SENTS_F` | 94.14 |
+| `DEP_UAS` | 89.46 |
+| `DEP_LAS` | 86.42 |
+| `LEMMA_ACC` | 97.29 |
+| `TAG_ACC` | 97.38 |
+| `ENTS_P` | 84.84 |
+| `ENTS_R` | 84.18 |
+| `ENTS_F` | 84.51 |

accuracy.json CHANGED Viewed

@@ -1,63 +1,63 @@
 {
-  "token_acc": 0.9990350152,
   "token_p": 0.997080292,
   "token_r": 0.9953256895,
   "token_f": 0.9962022181,
-  "pos_acc": 0.9739245423,
-  "morph_acc": 0.9631609401,
-  "morph_micro_p": 0.9795619236,
-  "morph_micro_r": 0.9711649931,
-  "morph_micro_f": 0.975345386,
   "morph_per_feat": {
     "Definite": {
-      "p": 0.9827724819,
-      "r": 0.9705115119,
-      "f": 0.9766035152
     },
     "Gender": {
-      "p": 0.9549058947,
-      "r": 0.9480223845,
-      "f": 0.9514516897
     },
     "Number": {
-      "p": 0.9797022002,
-      "r": 0.9689354531,
-      "f": 0.9742890821
     },
     "Mood": {
-      "p": 0.9886906258,
-      "r": 0.9837459365,
-      "f": 0.9862120832
     },
     "Tense": {
-      "p": 0.98988622,
       "r": 0.9858977588,
-      "f": 0.9878879637
     },
     "VerbForm": {
-      "p": 0.9808510638,
-      "r": 0.9766949153,
-      "f": 0.9787685775
     },
     "Degree": {
-      "p": 0.9756944444,
-      "r": 0.9653040192,
-      "f": 0.9704714212
     },
     "PronType": {
-      "p": 0.9924226023,
-      "r": 0.988783434,
-      "f": 0.9905996759
     },
     "Poss": {
-      "p": 0.9920948617,
       "r": 0.9920948617,
-      "f": 0.9920948617
     },
     "Case": {
-      "p": 0.9955382041,
-      "r": 0.988372093,
-      "f": 0.9919422062
     },
     "Reflex": {
       "p": 1.0,
@@ -65,9 +65,9 @@
       "f": 1.0
     },
     "NumType": {
-      "p": 0.997752809,
-      "r": 0.9135802469,
-      "f": 0.9538131042
     },
     "Polarity": {
       "p": 1.0,
@@ -75,211 +75,211 @@
       "f": 1.0
     },
     "Person": {
-      "p": 0.9919354839,
-      "r": 0.9924062648,
-      "f": 0.9921708185
     },
     "Animacy": {
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       "r": 0.996592845,
-      "f": 0.9978678038
     },
     "Voice": {
-      "p": 0.9424460432,
       "r": 0.9492753623,
-      "f": 0.9458483755
     },
     "Abbr": {
-      "p": 0.9926470588,
-      "r": 0.84375,
-      "f": 0.9121621622
     }
   },
-  "sents_p": 0.9469949917,
-  "sents_r": 0.9418845994,
-  "sents_f": 0.9444328824,
-  "dep_uas": 0.8940871304,
-  "dep_las": 0.8619288706,
   "dep_las_per_type": {
     "nmod": {
-      "p": 0.7898694104,
-      "r": 0.819039803,
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     "advcl": {
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       "r": 0.936,
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       "r": 0.8867699642,
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     "acl": {
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     "acl:cleft": {
-      "p": 0.3333333333,
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-      "f": 0.2916666667
     },
     "orphan": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     },
-    "dep": {
-      "p": 0.0,
-      "r": 0.0,
-      "f": 0.0
     },
     "reparandum": {
       "p": 0.0,
       "r": 0.0,
       "f": 0.0
     },
-    "parataxis": {
-      "p": 0.8648648649,
-      "r": 0.6808510638,
-      "f": 0.7619047619
-    },
     "compound": {
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     "flat:foreign": {
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     "discourse": {
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     "csubj:pass": {
       "p": 0.0,
@@ -287,46 +287,46 @@
       "f": 0.0
     }
   },
-  "lemma_acc": 0.9722053881,
-  "tag_acc": 0.9739245423,
-  "ents_p": 0.843731432,
-  "ents_r": 0.8412322275,
-  "ents_f": 0.8424799763,
   "ents_per_type": {
     "PER": {
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     "PROD": {
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     "ORG": {
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-    },
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     "EVT": {
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@@ -334,5 +334,5 @@
       "f": 0.4705882353
     }
   },
-  "speed": 11826.9792623084
 }

 {
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