Update spaCy pipeline

Browse files

Files changed (14) hide show

README.md +28 -28
accuracy.json +191 -191
attribute_ruler/patterns +0 -0
config.cfg +5 -4
lemmatizer/model +1 -1
meta.json +194 -194
morphologizer/model +1 -1
nb_core_news_sm-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: 0.7702786378
     - name: NER Recall
       type: recall
-      value: 0.7369668246
     - name: NER F Score
       type: f_score
-      value: 0.753254617
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9676832796
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9676832796
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9535447607
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9687620517
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.8828806301
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.8486771164
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9338860104
 ---
 ### Details: https://spacy.io/models/nb#nb_core_news_sm
@@ -78,8 +78,8 @@ Norwegian (Bokmål) pipeline optimized for CPU. Components: tok2vec, morphologiz
 | Feature | Description |
 | --- | --- |
 | **Name** | `nb_core_news_sm` |
-| **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** | 0 keys, 0 unique vectors (0 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` | 96.77 |
-| `MORPH_ACC` | 95.35 |
-| `MORPH_MICRO_P` | 96.99 |
-| `MORPH_MICRO_R` | 96.17 |
-| `MORPH_MICRO_F` | 96.58 |
-| `SENTS_P` | 93.25 |
-| `SENTS_R` | 93.52 |
-| `SENTS_F` | 93.39 |
-| `DEP_UAS` | 88.29 |
-| `DEP_LAS` | 84.87 |
-| `LEMMA_ACC` | 96.88 |
-| `TAG_ACC` | 96.77 |
-| `ENTS_P` | 77.03 |
-| `ENTS_R` | 73.70 |
-| `ENTS_F` | 75.33 |

     metrics:
     - name: NER Precision
       type: precision
+      value: 0.7606060606
     - name: NER Recall
       type: recall
+      value: 0.7434834123
     - name: NER F Score
       type: f_score
+      value: 0.7519472738
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
+      value: 0.9673820215
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
+      value: 0.9673820215
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
+      value: 0.9531747234
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
+      value: 0.9689548785
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
+      value: 0.8841111858
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
+      value: 0.8516342729
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
+      value: 0.9271305064
 ---
 ### Details: https://spacy.io/models/nb#nb_core_news_sm
 | Feature | Description |
 | --- | --- |
 | **Name** | `nb_core_news_sm` |
+| **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** | 0 keys, 0 unique vectors (0 dimensions) |
 | Type | Score |
 | --- | --- |
+| `TOKEN_ACC` | 99.81 |
 | `TOKEN_P` | 99.71 |
 | `TOKEN_R` | 99.53 |
 | `TOKEN_F` | 99.62 |
+| `POS_ACC` | 96.74 |
+| `MORPH_ACC` | 95.32 |
+| `MORPH_MICRO_P` | 97.02 |
+| `MORPH_MICRO_R` | 96.07 |
+| `MORPH_MICRO_F` | 96.54 |
+| `SENTS_P` | 91.96 |
+| `SENTS_R` | 93.48 |
+| `SENTS_F` | 92.71 |
+| `DEP_UAS` | 88.41 |
+| `DEP_LAS` | 85.16 |
+| `LEMMA_ACC` | 96.90 |
+| `TAG_ACC` | 96.74 |
+| `ENTS_P` | 76.06 |
+| `ENTS_R` | 74.35 |
+| `ENTS_F` | 75.19 |

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": 0.9676832796,
-  "morph_acc": 0.9535447607,
-  "morph_micro_p": 0.9699474698,
-  "morph_micro_r": 0.9617438158,
-  "morph_micro_f": 0.9658282229,
   "morph_per_feat": {
     "Definite": {
-      "p": 0.973768983,
-      "r": 0.9599637065,
-      "f": 0.9668170655
     },
     "Gender": {
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-      "r": 0.9327515887,
-      "f": 0.9361702128
     },
     "Number": {
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-      "r": 0.9597040076,
-      "f": 0.9652555175
     },
     "Mood": {
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-      "r": 0.9769942486,
-      "f": 0.9780948805
     },
     "Tense": {
-      "p": 0.9801057668,
-      "r": 0.9801057668,
-      "f": 0.9801057668
     },
     "VerbForm": {
-      "p": 0.9670096358,
-      "r": 0.9649608866,
-      "f": 0.9659841749
     },
     "Degree": {
-      "p": 0.9647592463,
-      "r": 0.9498454139,
-      "f": 0.9572442444
     },
     "PronType": {
-      "p": 0.9887323944,
-      "r": 0.984253667,
-      "f": 0.9864879472
     },
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       "r": 0.9920948617,
-      "f": 0.9940594059
     },
     "Case": {
-      "p": 0.9933184855,
-      "r": 0.9878183832,
-      "f": 0.9905607996
     },
     "Reflex": {
       "p": 1.0,
@@ -65,191 +65,196 @@
       "f": 1.0
     },
     "NumType": {
-      "p": 0.995505618,
-      "r": 0.9115226337,
-      "f": 0.9516648765
     },
     "Polarity": {
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       "r": 1.0,
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     },
     "Person": {
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-      "f": 0.9890891841
     },
     "Animacy": {
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       "r": 0.996592845,
-      "f": 0.996592845
     },
     "Voice": {
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-      "r": 0.9565217391,
-      "f": 0.9462365591
     },
     "Abbr": {
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-      "r": 0.83125,
-      "f": 0.8986486486
     }
   },
-  "sents_p": 0.9325331126,
-  "sents_r": 0.9352428394,
-  "sents_f": 0.9338860104,
-  "dep_uas": 0.8828806301,
-  "dep_las": 0.8486771164,
   "dep_las_per_type": {
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-      "r": 0.28,
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     },
     "ccomp": {
-      "p": 0.8028673835,
-      "r": 0.8818897638,
-      "f": 0.8405253283
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-    "acl": {
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     "csubj": {
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-      "r": 0.6934306569,
-      "f": 0.7116104869
-    },
-    "expl": {
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-      "r": 0.7486486486,
-      "f": 0.7204161248
     },
     "nsubj:pass": {
-      "p": 0.8316831683,
-      "r": 0.7777777778,
-      "f": 0.8038277512
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     "aux:pass": {
-      "p": 0.9203539823,
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     "acl:cleft": {
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     },
     "orphan": {
-      "p": 0.0,
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     },
     "dep": {
       "p": 0.0,
@@ -261,25 +266,20 @@
       "r": 0.0,
       "f": 0.0
     },
-    "parataxis": {
-      "p": 0.8243243243,
-      "r": 0.6489361702,
-      "f": 0.7261904762
-    },
     "compound": {
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     "csubj:pass": {
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@@ -287,52 +287,52 @@
       "f": 0.0
     }
   },
-  "lemma_acc": 0.9687620517,
-  "tag_acc": 0.9676832796,
-  "ents_p": 0.7702786378,
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   "ents_per_type": {
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   },
-  "speed": 13912.0236342851
 }

 {
+  "token_acc": 0.9980718909,
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