Update spaCy pipeline

Browse files

Files changed (12) hide show

README.md +26 -26
accuracy.json +171 -171
attribute_ruler/patterns +0 -0
config.cfg +5 -4
es_core_news_lg-any-py3-none-any.whl +2 -2
meta.json +174 -174
morphologizer/model +1 -1
ner/model +2 -2
parser/model +1 -1
senter/model +1 -1
tok2vec/model +2 -2
tokenizer +1 -1

README.md CHANGED Viewed

@@ -14,62 +14,62 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.8976315468
     - name: NER Recall
       type: recall
-      value: 0.8978507754
     - name: NER F Score
       type: f_score
-      value: 0.8977411477
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9615373556
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9852110989
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9822876531
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9655853179
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.9130235802
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.8819247701
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.979140625
 ---
 ### Details: https://spacy.io/models/es#es_core_news_lg
@@ -78,8 +78,8 @@ Spanish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser,
 | Feature | Description |
 | --- | --- |
 | **Name** | `es_core_news_lg` |
-| **Version** | `3.4.0` |
-| **spaCy** | `>=3.4.0,<3.5.0` |
 | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
@@ -109,18 +109,18 @@ Spanish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser,
 | `TOKEN_P` | 99.89 |
 | `TOKEN_R` | 99.95 |
 | `TOKEN_F` | 99.92 |
-| `POS_ACC` | 98.52 |
-| `MORPH_ACC` | 98.23 |
-| `MORPH_MICRO_P` | 99.54 |
-| `MORPH_MICRO_R` | 99.03 |
-| `MORPH_MICRO_F` | 99.29 |
-| `SENTS_P` | 97.19 |
-| `SENTS_R` | 98.65 |
-| `SENTS_F` | 97.91 |
-| `DEP_UAS` | 91.30 |
 | `DEP_LAS` | 88.19 |
-| `TAG_ACC` | 96.15 |
-| `LEMMA_ACC` | 96.56 |
-| `ENTS_P` | 89.76 |
-| `ENTS_R` | 89.79 |
-| `ENTS_F` | 89.77 |

     metrics:
     - name: NER Precision
       type: precision
+      value: 0.8966603655
     - name: NER Recall
       type: recall
+      value: 0.8978100704
     - name: NER F Score
       type: f_score
+      value: 0.8972348496
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
+      value: 0.9614499866
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
+      value: 0.9850860714
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
+      value: 0.981883016
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
+      value: 0.9657578226
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
+      value: 0.9140378979
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
+      value: 0.8818715744
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
+      value: 0.9769502508
 ---
 ### Details: https://spacy.io/models/es#es_core_news_lg
 | Feature | Description |
 | --- | --- |
 | **Name** | `es_core_news_lg` |
+| **Version** | `3.5.0` |
+| **spaCy** | `>=3.5.0,<3.6.0` |
 | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
 | `TOKEN_P` | 99.89 |
 | `TOKEN_R` | 99.95 |
 | `TOKEN_F` | 99.92 |
+| `POS_ACC` | 98.51 |
+| `MORPH_ACC` | 98.19 |
+| `MORPH_MICRO_P` | 99.56 |
+| `MORPH_MICRO_R` | 98.98 |
+| `MORPH_MICRO_F` | 99.27 |
+| `SENTS_P` | 96.90 |
+| `SENTS_R` | 98.50 |
+| `SENTS_F` | 97.70 |
+| `DEP_UAS` | 91.40 |
 | `DEP_LAS` | 88.19 |
+| `TAG_ACC` | 96.14 |
+| `LEMMA_ACC` | 96.58 |
+| `ENTS_P` | 89.67 |
+| `ENTS_R` | 89.78 |
+| `ENTS_F` | 89.72 |

accuracy.json CHANGED Viewed

@@ -1,98 +1,98 @@
 {
-  "token_acc": 0.9999808396,
   "token_p": 0.9989078786,
   "token_r": 0.9995398685,
   "token_f": 0.9992237736,
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-  "morph_acc": 0.9822876531,
-  "morph_micro_p": 0.9954121233,
-  "morph_micro_r": 0.9903395235,
-  "morph_micro_f": 0.9928693444,
   "morph_per_feat": {
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       "r": 0.9988587732,
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-      "r": 0.9675850891,
-      "f": 0.9786885246
     },
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-      "r": 0.9638351556,
-      "f": 0.9732484076
     },
     "Poss": {
-      "p": 0.9981718464,
-      "r": 0.9981718464,
-      "f": 0.9981718464
     },
     "PunctSide": {
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-      "r": 0.996,
-      "f": 0.996996997
     },
     "Case": {
-      "p": 0.9392361111,
-      "r": 0.9359861592,
-      "f": 0.9376083189
     },
     "PrepCase": {
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-      "r": 0.9875776398,
-      "f": 0.99375
     },
     "Reflex": {
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-      "r": 0.9951768489,
-      "f": 0.9919871795
     },
     "Degree": {
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-      "r": 0.9572953737,
-      "f": 0.9746376812
     },
     "Polarity": {
       "p": 1.0,
@@ -100,14 +100,14 @@
       "f": 0.996742671
     },
     "AdvType": {
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-      "r": 0.9521276596,
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     },
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-      "r": 1.0,
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     },
     "Foreign": {
       "p": 1.0,
@@ -115,156 +115,156 @@
       "f": 1.0
     }
   },
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-  "sents_r": 0.9865396725,
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-  "dep_las": 0.8819247701,
   "dep_las_per_type": {
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       "r": 0.8594594595,
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@@ -292,32 +292,32 @@
       "f": 0.0
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   },
-  "speed": 9001.7618047701
 }

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