Update spaCy pipeline

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Files changed (14) hide show

README.md +28 -28
accuracy.json +165 -165
config.cfg +5 -4
it_core_news_lg-any-py3-none-any.whl +2 -2
lemmatizer/model +1 -1
meta.json +168 -168
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: 0.8839343113
     - name: NER Recall
       type: recall
-      value: 0.8844684418
     - name: NER F Score
       type: f_score
-      value: 0.8842012959
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9712847706
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9737114097
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9739325843
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9757368799
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.909427748
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.8756689996
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9684763573
 ---
 ### Details: https://spacy.io/models/it#it_core_news_lg
@@ -78,8 +78,8 @@ Italian pipeline optimized for CPU. Components: tok2vec, morphologizer, tagger,
 | Feature | Description |
 | --- | --- |
 | **Name** | `it_core_news_lg` |
-| **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, 500000 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` | 97.37 |
-| `MORPH_ACC` | 97.39 |
-| `MORPH_MICRO_P` | 98.93 |
-| `MORPH_MICRO_R` | 98.16 |
-| `MORPH_MICRO_F` | 98.54 |
-| `TAG_ACC` | 97.13 |
-| `SENTS_P` | 95.67 |
-| `SENTS_R` | 98.05 |
-| `SENTS_F` | 96.85 |
-| `DEP_UAS` | 90.94 |
-| `DEP_LAS` | 87.57 |
-| `LEMMA_ACC` | 97.57 |
-| `ENTS_P` | 88.39 |
-| `ENTS_R` | 88.45 |
-| `ENTS_F` | 88.42 |

     metrics:
     - name: NER Precision
       type: precision
+      value: 0.8841501483
     - name: NER Recall
       type: recall
+      value: 0.883357374
     - name: NER F Score
       type: f_score
+      value: 0.8837535833
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
+      value: 0.9715107396
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
+      value: 0.9751932411
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
+      value: 0.9758202247
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
+      value: 0.9749281093
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
+      value: 0.9113077477
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
+      value: 0.8753987036
   - 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_lg
 | Feature | Description |
 | --- | --- |
 | **Name** | `it_core_news_lg` |
+| **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, 500000 unique vectors (300 dimensions) |
 | Type | Score |
 | --- | --- |
+| `TOKEN_ACC` | 99.93 |
 | `TOKEN_P` | 99.80 |
 | `TOKEN_R` | 99.78 |
 | `TOKEN_F` | 99.79 |
+| `POS_ACC` | 97.52 |
+| `MORPH_ACC` | 97.58 |
+| `MORPH_MICRO_P` | 99.00 |
+| `MORPH_MICRO_R` | 98.37 |
+| `MORPH_MICRO_F` | 98.68 |
+| `TAG_ACC` | 97.15 |
+| `SENTS_P` | 96.52 |
+| `SENTS_R` | 98.23 |
+| `SENTS_F` | 97.36 |
+| `DEP_UAS` | 91.13 |
+| `DEP_LAS` | 87.54 |
+| `LEMMA_ACC` | 97.49 |
+| `ENTS_P` | 88.42 |
+| `ENTS_R` | 88.34 |
+| `ENTS_F` | 88.38 |

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": 0.9737114097,
-  "morph_acc": 0.9739325843,
-  "morph_micro_p": 0.9892574725,
-  "morph_micro_r": 0.9815929728,
-  "morph_micro_f": 0.9854103193,
   "morph_per_feat": {
     "Gender": {
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-      "r": 0.9859126174,
-      "f": 0.9885363357
     },
     "Number": {
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-      "r": 0.9866730893,
-      "f": 0.9904900064
     },
     "NumType": {
-      "p": 0.9849056604,
-      "r": 0.963099631,
-      "f": 0.973880597
     },
     "Definite": {
-      "p": 0.9946808511,
-      "r": 0.9982206406,
-      "f": 0.9964476021
     },
     "PronType": {
-      "p": 0.9896308586,
-      "r": 0.9867659222,
-      "f": 0.9881963139
     },
     "Mood": {
-      "p": 0.9755799756,
-      "r": 0.9591836735,
-      "f": 0.9673123487
     },
     "Person": {
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-      "r": 0.9574056147,
-      "f": 0.9681840431
     },
     "Tense": {
-      "p": 0.9741602067,
-      "r": 0.9625531915,
-      "f": 0.9683219178
     },
     "VerbForm": {
-      "p": 0.9803784163,
-      "r": 0.9695079695,
-      "f": 0.974912892
     },
     "Degree": {
-      "p": 0.9444444444,
-      "r": 1.0,
-      "f": 0.9714285714
     },
     "Clitic": {
-      "p": 1.0,
-      "r": 0.9732620321,
-      "f": 0.9864498645
     },
     "Poss": {
       "p": 1.0,
@@ -76,51 +76,51 @@
     },
     "Foreign": {
       "p": 1.0,
-      "r": 0.4,
-      "f": 0.5714285714
     }
   },
-  "tag_acc": 0.9712847706,
-  "sents_p": 0.9567474048,
-  "sents_r": 0.9804964539,
-  "sents_f": 0.9684763573,
-  "dep_uas": 0.909427748,
-  "dep_las": 0.8756689996,
   "dep_las_per_type": {
     "root": {
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-      "r": 0.914893617,
-      "f": 0.9036777583
     },
     "flat:name": {
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-      "r": 0.8924050633,
-      "f": 0.9038461538
     },
     "case": {
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       "r": 0.9817407182,
-      "f": 0.9814420444
     },
     "nmod": {
-      "p": 0.8087044534,
-      "r": 0.8169734151,
-      "f": 0.8128179044
     },
     "nummod": {
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-      "r": 0.875,
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     },
     "det": {
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     "aux": {
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@@ -128,24 +128,24 @@
       "f": 0.9422632794
     },
     "advmod": {
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-      "r": 0.8233944954,
-      "f": 0.818700114
     },
     "obj": {
-      "p": 0.8661800487,
       "r": 0.89,
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     },
     "cc": {
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     "conj": {
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     "det:predet": {
       "p": 0.9473684211,
@@ -153,79 +153,79 @@
       "f": 0.972972973
     },
     "amod": {
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-      "r": 0.9055472264,
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-      "f": 0.7399267399
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-      "r": 0.6869565217,
-      "f": 0.7053571429
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     "ccomp": {
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-      "r": 0.7096774194,
-      "f": 0.6717557252
     },
     "expl": {
-      "p": 0.88,
-      "r": 0.8461538462,
-      "f": 0.862745098
     },
     "nsubj:pass": {
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       "r": 0.8271604938,
-      "f": 0.8170731707
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-      "f": 0.8875
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     "parataxis": {
-      "p": 0.7777777778,
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-      "f": 0.35
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-    "csubj": {
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     "det:poss": {
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@@ -238,29 +238,34 @@
       "f": 1.0
     },
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-      "f": 0.4533333333
     },
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       "r": 0.880952381,
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-    "dep": {
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@@ -268,14 +273,9 @@
       "f": 0.0
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     "fixed": {
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@@ -293,31 +293,31 @@
       "f": 0.3333333333
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-  "lemma_acc": 0.9757368799,
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   },
-  "speed": 12298.032057877
 }

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+  "token_acc": 0.9992812865,
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   "token_r": 0.9978442468,
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