Update spaCy pipeline

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Files changed (14) hide show

README.md +27 -27
accuracy.json +175 -175
config.cfg +5 -4
it_core_news_md-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: 0.8750487405
     - name: NER Recall
       type: recall
-      value: 0.8748781724
     - name: NER F Score
       type: f_score
-      value: 0.8749634482
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9697568867
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9748797915
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9723146067
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9726815241
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.9096053918
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.8750321552
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9771126761
 ---
 ### Details: https://spacy.io/models/it#it_core_news_md
@@ -78,8 +78,8 @@ Italian pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger,
 | Feature | Description |
 | --- | --- |
 | **Name** | `it_core_news_md` |
-| **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** | 500000 keys, 20000 unique vectors (300 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` | 97.49 |
-| `MORPH_ACC` | 97.23 |
-| `MORPH_MICRO_P` | 98.70 |
-| `MORPH_MICRO_R` | 98.14 |
-| `MORPH_MICRO_F` | 98.42 |
-| `TAG_ACC` | 96.98 |
 | `SENTS_P` | 97.03 |
-| `SENTS_R` | 98.40 |
-| `SENTS_F` | 97.71 |
-| `DEP_UAS` | 90.96 |
-| `DEP_LAS` | 87.50 |
-| `LEMMA_ACC` | 97.27 |
-| `ENTS_P` | 87.50 |
-| `ENTS_R` | 87.49 |
-| `ENTS_F` | 87.50 |

     metrics:
     - name: NER Precision
       type: precision
+      value: 0.8765345493
     - name: NER Recall
       type: recall
+      value: 0.8768079217
     - name: NER F Score
       type: f_score
+      value: 0.8766712142
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
+      value: 0.9702961398
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
+      value: 0.9731721566
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
+      value: 0.9719550562
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
+      value: 0.9718727534
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
+      value: 0.9121308777
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
+      value: 0.8761189423
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
+      value: 0.9780123131
 ---
 ### Details: https://spacy.io/models/it#it_core_news_md
 | Feature | Description |
 | --- | --- |
 | **Name** | `it_core_news_md` |
+| **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** | 500000 keys, 20000 unique vectors (300 dimensions) |
 | Type | Score |
 | --- | --- |
+| `TOKEN_ACC` | 99.93 |
 | `TOKEN_P` | 99.80 |
 | `TOKEN_R` | 99.78 |
 | `TOKEN_F` | 99.79 |
+| `POS_ACC` | 97.32 |
+| `MORPH_ACC` | 97.20 |
+| `MORPH_MICRO_P` | 98.63 |
+| `MORPH_MICRO_R` | 97.91 |
+| `MORPH_MICRO_F` | 98.27 |
+| `TAG_ACC` | 97.03 |
 | `SENTS_P` | 97.03 |
+| `SENTS_R` | 98.58 |
+| `SENTS_F` | 97.80 |
+| `DEP_UAS` | 91.21 |
+| `DEP_LAS` | 87.61 |
+| `LEMMA_ACC` | 97.19 |
+| `ENTS_P` | 87.65 |
+| `ENTS_R` | 87.68 |
+| `ENTS_F` | 87.67 |

accuracy.json CHANGED Viewed

@@ -1,73 +1,73 @@
 {
-  "token_acc": 0.9996405141,
   "token_p": 0.9980235379,
   "token_r": 0.9978442468,
   "token_f": 0.9979338843,
-  "pos_acc": 0.9748797915,
-  "morph_acc": 0.9723146067,
-  "morph_micro_p": 0.9869975186,
-  "morph_micro_r": 0.981444927,
-  "morph_micro_f": 0.9842133914,
   "morph_per_feat": {
     "Gender": {
-      "p": 0.9897309509,
-      "r": 0.9838709677,
-      "f": 0.9867922596
     },
     "Number": {
-      "p": 0.9933796222,
-      "r": 0.9877970456,
-      "f": 0.9905804686
     },
     "NumType": {
-      "p": 0.9810606061,
-      "r": 0.9557195572,
-      "f": 0.9682242991
     },
     "Definite": {
-      "p": 0.9958555358,
-      "r": 0.9976275208,
-      "f": 0.9967407407
     },
     "PronType": {
-      "p": 0.9900497512,
-      "r": 0.9875930521,
-      "f": 0.9888198758
     },
     "Mood": {
-      "p": 0.9612590799,
-      "r": 0.9531812725,
-      "f": 0.9572031344
     },
     "Person": {
-      "p": 0.9745596869,
-      "r": 0.9641819942,
-      "f": 0.9693430657
     },
     "Tense": {
-      "p": 0.966609589,
-      "r": 0.9608510638,
-      "f": 0.9637217243
     },
     "VerbForm": {
-      "p": 0.9756267409,
-      "r": 0.9708939709,
-      "f": 0.9732546023
     },
     "Degree": {
-      "p": 0.9285714286,
-      "r": 0.7647058824,
-      "f": 0.8387096774
     },
     "Clitic": {
-      "p": 0.9893048128,
-      "r": 0.9893048128,
-      "f": 0.9893048128
     },
     "Poss": {
-      "p": 1.0,
       "r": 1.0,
-      "f": 1.0
     },
     "Polarity": {
       "p": 1.0,
@@ -75,77 +75,77 @@
       "f": 0.5
     },
     "Foreign": {
-      "p": 1.0,
-      "r": 0.4,
-      "f": 0.5714285714
     }
   },
-  "tag_acc": 0.9697568867,
-  "sents_p": 0.9702797203,
-  "sents_r": 0.9840425532,
-  "sents_f": 0.9771126761,
-  "dep_uas": 0.9096053918,
-  "dep_las": 0.8750321552,
   "dep_las_per_type": {
     "root": {
-      "p": 0.8916083916,
-      "r": 0.9042553191,
-      "f": 0.8978873239
     },
     "flat:name": {
-      "p": 0.8987341772,
-      "r": 0.8987341772,
-      "f": 0.8987341772
     },
     "case": {
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-      "r": 0.9817407182,
-      "f": 0.9808452417
     },
     "nmod": {
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-      "r": 0.81799591,
-      "f": 0.8159102499
     },
     "nummod": {
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       "r": 0.8858695652,
-      "f": 0.8931506849
     },
     "det": {
-      "p": 0.9698354662,
-      "r": 0.9751838235,
-      "f": 0.9725022915
     },
     "nsubj": {
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-      "r": 0.8455598456,
-      "f": 0.8488372093
     },
     "aux": {
-      "p": 0.953271028,
-      "r": 0.9400921659,
-      "f": 0.9466357309
     },
     "advmod": {
-      "p": 0.8183856502,
-      "r": 0.8371559633,
-      "f": 0.8276643991
     },
     "obj": {
-      "p": 0.8602941176,
-      "r": 0.8775,
-      "f": 0.8688118812
     },
     "cc": {
-      "p": 0.9247648903,
-      "r": 0.9049079755,
-      "f": 0.9147286822
     },
     "conj": {
-      "p": 0.7212276215,
-      "r": 0.7621621622,
-      "f": 0.741130092
     },
     "det:predet": {
       "p": 0.9473684211,
@@ -153,14 +153,14 @@
       "f": 0.972972973
     },
     "amod": {
-      "p": 0.9011976048,
-      "r": 0.9025487256,
-      "f": 0.9018726592
     },
     "mark": {
-      "p": 0.9190283401,
-      "r": 0.9380165289,
-      "f": 0.9284253579
     },
     "cop": {
       "p": 0.8244274809,
@@ -168,59 +168,69 @@
       "f": 0.8404669261
     },
     "xcomp": {
-      "p": 0.7252747253,
-      "r": 0.6875,
-      "f": 0.7058823529
     },
     "obl": {
-      "p": 0.8095238095,
-      "r": 0.7704678363,
-      "f": 0.7895131086
     },
     "acl:relcl": {
-      "p": 0.7786259542,
-      "r": 0.7445255474,
-      "f": 0.7611940299
     },
     "acl": {
-      "p": 0.7040816327,
-      "r": 0.6,
-      "f": 0.6478873239
     },
     "ccomp": {
-      "p": 0.6666666667,
-      "r": 0.6774193548,
-      "f": 0.672
     },
     "expl": {
-      "p": 0.8947368421,
-      "r": 0.8717948718,
-      "f": 0.8831168831
     },
     "nsubj:pass": {
-      "p": 0.8421052632,
-      "r": 0.7901234568,
-      "f": 0.8152866242
     },
     "aux:pass": {
-      "p": 0.8571428571,
       "r": 0.9113924051,
-      "f": 0.8834355828
     },
     "parataxis": {
-      "p": 0.5,
-      "r": 0.2258064516,
-      "f": 0.3111111111
     },
     "advcl": {
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-      "r": 0.6830985915,
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     },
     "det:poss": {
-      "p": 0.9714285714,
       "r": 1.0,
-      "f": 0.9855072464
     },
     "flat": {
       "p": 1.0,
@@ -228,14 +238,9 @@
       "f": 1.0
     },
     "appos": {
-      "p": 0.5,
-      "r": 0.4358974359,
-      "f": 0.4657534247
-    },
-    "obl:agent": {
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-      "r": 0.8333333333,
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     },
     "dep": {
       "p": 0.0,
@@ -243,24 +248,24 @@
       "f": 0.0
     },
     "iobj": {
-      "p": 0.68,
-      "r": 0.85,
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     },
-    "expl:pass": {
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     },
     "csubj": {
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       "r": 0.4615384615,
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     "discourse": {
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@@ -268,56 +273,51 @@
       "f": 0.0
     },
     "fixed": {
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-      "r": 0.75,
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   },
-  "lemma_acc": 0.9726815241,
-  "ents_p": 0.8750487405,
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   "ents_per_type": {
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   },
-  "speed": 11995.0171076007
 }

 {
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   "token_r": 0.9978442468,
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