Update spaCy pipeline

Browse files

Files changed (14) hide show

README.md +27 -27
accuracy.json +175 -175
config.cfg +5 -4
it_core_news_sm-any-py3-none-any.whl +2 -2
lemmatizer/model +1 -1
meta.json +178 -178
morphologizer/model +1 -1
ner/model +2 -2
parser/model +1 -1
senter/model +1 -1
tagger/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: 0.855216021
     - name: NER Recall
       type: recall
-      value: 0.8515652411
     - name: NER F Score
       type: f_score
-      value: 0.8533867266
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9637352267
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9693973846
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.968988764
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9707045291
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.8949940834
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.8547615373
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9736379613
 ---
 ### Details: https://spacy.io/models/it#it_core_news_sm
@@ -78,8 +78,8 @@ Italian pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger,
 | Feature | Description |
 | --- | --- |
 | **Name** | `it_core_news_sm` |
-| **Version** | `3.4.0` |
-| **spaCy** | `>=3.4.0,<3.5.0` |
 | **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
 | **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
@@ -106,22 +106,22 @@ Italian pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger,
 | Type | Score |
 | --- | --- |
-| `TOKEN_ACC` | 99.96 |
 | `TOKEN_P` | 99.80 |
 | `TOKEN_R` | 99.78 |
 | `TOKEN_F` | 99.79 |
-| `POS_ACC` | 96.94 |
-| `MORPH_ACC` | 96.90 |
-| `MORPH_MICRO_P` | 98.32 |
-| `MORPH_MICRO_R` | 97.58 |
-| `MORPH_MICRO_F` | 97.95 |
-| `TAG_ACC` | 96.37 |
-| `SENTS_P` | 96.52 |
 | `SENTS_R` | 98.23 |
-| `SENTS_F` | 97.36 |
-| `DEP_UAS` | 89.50 |
-| `DEP_LAS` | 85.48 |
-| `LEMMA_ACC` | 97.07 |
-| `ENTS_P` | 85.52 |
-| `ENTS_R` | 85.16 |
-| `ENTS_F` | 85.34 |

     metrics:
     - name: NER Precision
       type: precision
+      value: 0.8600824654
     - name: NER Recall
       type: recall
+      value: 0.8579197692
     - name: NER F Score
       type: f_score
+      value: 0.858999756
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
+      value: 0.9650368506
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
+      value: 0.9701163888
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
+      value: 0.9701573034
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
+      value: 0.969356578
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
+      value: 0.8969952665
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
+      value: 0.8575397438
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
+      value: 0.9796640141
 ---
 ### Details: https://spacy.io/models/it#it_core_news_sm
 | Feature | Description |
 | --- | --- |
 | **Name** | `it_core_news_sm` |
+| **Version** | `3.5.0` |
+| **spaCy** | `>=3.5.0,<3.6.0` |
 | **Default Pipeline** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `attribute_ruler`, `ner` |
 | **Components** | `tok2vec`, `morphologizer`, `tagger`, `parser`, `lemmatizer`, `senter`, `attribute_ruler`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
 | Type | Score |
 | --- | --- |
+| `TOKEN_ACC` | 99.93 |
 | `TOKEN_P` | 99.80 |
 | `TOKEN_R` | 99.78 |
 | `TOKEN_F` | 99.79 |
+| `POS_ACC` | 97.01 |
+| `MORPH_ACC` | 97.02 |
+| `MORPH_MICRO_P` | 98.53 |
+| `MORPH_MICRO_R` | 97.73 |
+| `MORPH_MICRO_F` | 98.12 |
+| `TAG_ACC` | 96.50 |
+| `SENTS_P` | 97.71 |
 | `SENTS_R` | 98.23 |
+| `SENTS_F` | 97.97 |
+| `DEP_UAS` | 89.70 |
+| `DEP_LAS` | 85.75 |
+| `LEMMA_ACC` | 96.94 |
+| `ENTS_P` | 86.01 |
+| `ENTS_R` | 85.79 |
+| `ENTS_F` | 85.90 |

accuracy.json CHANGED Viewed

@@ -1,68 +1,68 @@
 {
-  "token_acc": 0.9996405141,
   "token_p": 0.9980235379,
   "token_r": 0.9978442468,
   "token_f": 0.9979338843,
-  "pos_acc": 0.9693973846,
-  "morph_acc": 0.968988764,
-  "morph_micro_p": 0.9832430013,
-  "morph_micro_r": 0.9758191867,
-  "morph_micro_f": 0.9795170279,
   "morph_per_feat": {
     "Gender": {
-      "p": 0.9878775426,
-      "r": 0.9816251531,
-      "f": 0.9847414235
     },
     "Number": {
-      "p": 0.9919198449,
-      "r": 0.9855491329,
-      "f": 0.9887242268
     },
     "NumType": {
-      "p": 0.9847908745,
-      "r": 0.9557195572,
-      "f": 0.9700374532
     },
     "Definite": {
-      "p": 0.9929245283,
-      "r": 0.9988137604,
-      "f": 0.9958604376
     },
     "PronType": {
-      "p": 0.9887780549,
-      "r": 0.9838709677,
-      "f": 0.986318408
     },
     "Mood": {
-      "p": 0.9607361963,
-      "r": 0.9399759904,
-      "f": 0.9502427184
     },
     "Person": {
-      "p": 0.9651394422,
-      "r": 0.9380445305,
-      "f": 0.9513991163
     },
     "Tense": {
-      "p": 0.947008547,
-      "r": 0.9429787234,
-      "f": 0.944989339
     },
     "VerbForm": {
-      "p": 0.9645093946,
-      "r": 0.9604989605,
-      "f": 0.9625
     },
     "Degree": {
-      "p": 0.8333333333,
-      "r": 0.8823529412,
-      "f": 0.8571428571
     },
     "Clitic": {
-      "p": 0.988700565,
       "r": 0.935828877,
-      "f": 0.9615384615
     },
     "Poss": {
       "p": 1.0,
@@ -75,77 +75,77 @@
       "f": 0.5
     },
     "Foreign": {
-      "p": 1.0,
-      "r": 0.4,
-      "f": 0.5714285714
     }
   },
-  "tag_acc": 0.9637352267,
-  "sents_p": 0.9651567944,
   "sents_r": 0.9822695035,
-  "sents_f": 0.9736379613,
-  "dep_uas": 0.8949940834,
-  "dep_las": 0.8547615373,
   "dep_las_per_type": {
     "root": {
-      "p": 0.8693379791,
-      "r": 0.884751773,
-      "f": 0.8769771529
     },
     "flat:name": {
-      "p": 0.8917197452,
-      "r": 0.8860759494,
-      "f": 0.8888888889
     },
     "case": {
-      "p": 0.96918429,
-      "r": 0.9762629337,
-      "f": 0.9727107338
     },
     "nmod": {
-      "p": 0.8024193548,
-      "r": 0.8139059305,
-      "f": 0.8081218274
     },
     "nummod": {
-      "p": 0.8791208791,
-      "r": 0.8695652174,
-      "f": 0.8743169399
     },
     "det": {
-      "p": 0.9616438356,
-      "r": 0.9678308824,
-      "f": 0.9647274393
     },
     "nsubj": {
-      "p": 0.8297029703,
-      "r": 0.8088803089,
-      "f": 0.8191593353
     },
     "aux": {
-      "p": 0.9436619718,
-      "r": 0.9262672811,
-      "f": 0.9348837209
     },
     "advmod": {
-      "p": 0.7857142857,
-      "r": 0.8073394495,
-      "f": 0.7963800905
     },
     "obj": {
-      "p": 0.8353221957,
-      "r": 0.875,
-      "f": 0.8547008547
     },
     "cc": {
-      "p": 0.9119496855,
       "r": 0.8895705521,
-      "f": 0.900621118
     },
     "conj": {
-      "p": 0.6349614396,
-      "r": 0.6675675676,
-      "f": 0.65085639
     },
     "det:predet": {
       "p": 0.9473684211,
@@ -153,89 +153,79 @@
       "f": 0.972972973
     },
     "amod": {
-      "p": 0.8849693252,
-      "r": 0.8650674663,
-      "f": 0.8749052312
     },
     "mark": {
-      "p": 0.9036144578,
-      "r": 0.9297520661,
-      "f": 0.916496945
     },
     "cop": {
-      "p": 0.8307692308,
-      "r": 0.8571428571,
-      "f": 0.84375
     },
     "xcomp": {
-      "p": 0.6666666667,
-      "r": 0.625,
-      "f": 0.6451612903
     },
     "obl": {
-      "p": 0.7884914463,
-      "r": 0.7412280702,
-      "f": 0.7641296157
     },
     "acl:relcl": {
-      "p": 0.8099173554,
       "r": 0.7153284672,
-      "f": 0.7596899225
     },
     "acl": {
-      "p": 0.6132075472,
-      "r": 0.5652173913,
-      "f": 0.5882352941
     },
     "ccomp": {
-      "p": 0.6349206349,
-      "r": 0.6451612903,
-      "f": 0.64
     },
     "expl": {
-      "p": 0.92,
-      "r": 0.8846153846,
-      "f": 0.9019607843
     },
     "nsubj:pass": {
-      "p": 0.7662337662,
-      "r": 0.7283950617,
-      "f": 0.746835443
     },
     "aux:pass": {
-      "p": 0.8255813953,
       "r": 0.8987341772,
-      "f": 0.8606060606
     },
     "parataxis": {
-      "p": 0.375,
-      "r": 0.1935483871,
-      "f": 0.2553191489
-    },
-    "compound": {
-      "p": 0.6,
-      "r": 0.5769230769,
-      "f": 0.5882352941
-    },
-    "csubj": {
-      "p": 0.5714285714,
-      "r": 0.3076923077,
-      "f": 0.4
     },
     "obl:agent": {
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       "r": 0.8333333333,
-      "f": 0.843373494
     },
     "advcl": {
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-      "f": 0.6112956811
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     "det:poss": {
-      "p": 0.9714285714,
-      "r": 1.0,
-      "f": 0.9855072464
     },
     "flat": {
       "p": 1.0,
@@ -243,9 +233,9 @@
       "f": 1.0
     },
     "appos": {
-      "p": 0.375,
-      "r": 0.3076923077,
-      "f": 0.338028169
     },
     "dep": {
       "p": 0.0,
@@ -253,9 +243,24 @@
       "f": 0.0
     },
     "iobj": {
-      "p": 0.75,
-      "r": 0.9,
-      "f": 0.8181818182
     },
     "discourse": {
       "p": 0.0,
@@ -263,24 +268,14 @@
       "f": 0.0
     },
     "fixed": {
-      "p": 0.9523809524,
-      "r": 0.7142857143,
-      "f": 0.8163265306
-    },
-    "expl:impers": {
-      "p": 0.6,
-      "r": 0.75,
-      "f": 0.6666666667
     },
     "expl:pass": {
-      "p": 0.6666666667,
-      "r": 0.7272727273,
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-    },
-    "vocative": {
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-      "f": 0.2857142857
     },
     "orphan": {
       "p": 0.0,
@@ -288,36 +283,41 @@
       "f": 0.0
     },
     "flat:foreign": {
-      "p": 0.0,
-      "r": 0.0,
-      "f": 0.0
     }
   },
-  "lemma_acc": 0.9707045291,
-  "ents_p": 0.855216021,
-  "ents_r": 0.8515652411,
-  "ents_f": 0.8533867266,
   "ents_per_type": {
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-      "r": 0.7504520796,
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     }
   },
-  "speed": 13329.1241673202
 }

 {
+  "token_acc": 0.9992812865,
   "token_p": 0.9980235379,
   "token_r": 0.9978442468,
   "token_f": 0.9979338843,
+  "pos_acc": 0.9701163888,
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+  "morph_micro_f": 0.9812451998,
   "morph_per_feat": {
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     "ccomp": {
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     "expl": {
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     "advcl": {
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     "det:poss": {
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     "flat": {
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