Update spaCy pipeline

Browse files

Files changed (12) hide show

README.md +26 -26
accuracy.json +168 -168
attribute_ruler/patterns +0 -0
config.cfg +5 -4
es_core_news_sm-any-py3-none-any.whl +2 -2
meta.json +171 -171
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: 0.8907937283
     - name: NER Recall
       type: recall
-      value: 0.8915007937
     - name: NER F Score
       type: f_score
-      value: 0.8911471208
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9586196981
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9820081476
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9772051916
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9620968901
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.9031632397
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.8672485372
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9771046006
 ---
 ### Details: https://spacy.io/models/es#es_core_news_sm
@@ -78,8 +78,8 @@ Spanish pipeline optimized for CPU. Components: tok2vec, morphologizer, parser,
 | Feature | Description |
 | --- | --- |
 | **Name** | `es_core_news_sm` |
-| **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** | 0 keys, 0 unique vectors (0 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` | 98.20 |
 | `MORPH_ACC` | 97.72 |
-| `MORPH_MICRO_P` | 99.20 |
-| `MORPH_MICRO_R` | 98.54 |
-| `MORPH_MICRO_F` | 98.87 |
-| `SENTS_P` | 96.92 |
-| `SENTS_R` | 98.51 |
-| `SENTS_F` | 97.71 |
-| `DEP_UAS` | 90.32 |
-| `DEP_LAS` | 86.72 |
-| `TAG_ACC` | 95.86 |
-| `LEMMA_ACC` | 96.21 |
-| `ENTS_P` | 89.08 |
-| `ENTS_R` | 89.15 |
-| `ENTS_F` | 89.11 |

     metrics:
     - name: NER Precision
       type: precision
+      value: 0.8910285087
     - name: NER Recall
       type: recall
+      value: 0.8918264338
     - name: NER F Score
       type: f_score
+      value: 0.8914272927
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
+      value: 0.9581496108
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
+      value: 0.9815191135
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
+      value: 0.9771762157
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
+      value: 0.9626144041
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
+      value: 0.9037516481
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
+      value: 0.8684594765
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
+      value: 0.972165913
 ---
 ### Details: https://spacy.io/models/es#es_core_news_sm
 | Feature | Description |
 | --- | --- |
 | **Name** | `es_core_news_sm` |
+| **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** | 0 keys, 0 unique vectors (0 dimensions) |
 | `TOKEN_P` | 99.89 |
 | `TOKEN_R` | 99.95 |
 | `TOKEN_F` | 99.92 |
+| `POS_ACC` | 98.15 |
 | `MORPH_ACC` | 97.72 |
+| `MORPH_MICRO_P` | 99.24 |
+| `MORPH_MICRO_R` | 98.61 |
+| `MORPH_MICRO_F` | 98.93 |
+| `SENTS_P` | 96.30 |
+| `SENTS_R` | 98.15 |
+| `SENTS_F` | 97.22 |
+| `DEP_UAS` | 90.38 |
+| `DEP_LAS` | 86.85 |
+| `TAG_ACC` | 95.81 |
+| `LEMMA_ACC` | 96.26 |
+| `ENTS_P` | 89.10 |
+| `ENTS_R` | 89.18 |
+| `ENTS_F` | 89.14 |

accuracy.json CHANGED Viewed

@@ -1,68 +1,68 @@
 {
-  "token_acc": 0.9999808396,
   "token_p": 0.9989078786,
   "token_r": 0.9995398685,
   "token_f": 0.9992237736,
-  "pos_acc": 0.9820081476,
-  "morph_acc": 0.9772051916,
-  "morph_micro_p": 0.9920371808,
-  "morph_micro_r": 0.9854207049,
-  "morph_micro_f": 0.9887178736,
   "morph_per_feat": {
     "Definite": {
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       "r": 0.9990014265,
-      "f": 0.998431708
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     "Gender": {
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-      "r": 0.9856601029,
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     },
     "Number": {
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-      "r": 0.9903047091,
-      "f": 0.9941102636
     },
     "PronType": {
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-      "r": 0.9914040115,
-      "f": 0.9941576477
     },
     "PunctType": {
-      "p": 0.9995216074,
-      "r": 0.9992029332,
-      "f": 0.9993622449
     },
     "VerbForm": {
-      "p": 0.9861939128,
       "r": 0.9821875,
-      "f": 0.9841866291
     },
     "Mood": {
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-      "r": 0.9607258265,
-      "f": 0.9645620165
     },
     "Person": {
-      "p": 0.9880365939,
-      "r": 0.9775456919,
-      "f": 0.9827631464
     },
     "Tense": {
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-      "r": 0.9706016408,
-      "f": 0.9734857143
     },
     "NumForm": {
-      "p": 0.988372093,
-      "r": 0.9643435981,
-      "f": 0.9762100082
     },
     "NumType": {
-      "p": 0.9818965517,
-      "r": 0.9579478553,
-      "f": 0.9697743721
     },
     "Poss": {
       "p": 1.0,
@@ -70,29 +70,29 @@
       "f": 0.9981684982
     },
     "PunctSide": {
-      "p": 0.997995992,
-      "r": 0.996,
-      "f": 0.996996997
     },
     "Case": {
-      "p": 0.9329214475,
-      "r": 0.9143598616,
-      "f": 0.9235474006
     },
     "PrepCase": {
-      "p": 0.9946921444,
-      "r": 0.9699792961,
-      "f": 0.9821802935
     },
     "Reflex": {
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-      "r": 0.9887459807,
-      "f": 0.989541432
     },
     "Degree": {
-      "p": 0.9963099631,
       "r": 0.9608540925,
-      "f": 0.9782608696
     },
     "Polarity": {
       "p": 1.0,
@@ -100,14 +100,14 @@
       "f": 0.996742671
     },
     "AdvType": {
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-      "r": 0.9308510638,
-      "f": 0.935828877
     },
     "Number[psor]": {
       "p": 1.0,
-      "r": 0.9428571429,
-      "f": 0.9705882353
     },
     "Foreign": {
       "p": 1.0,
@@ -115,167 +115,167 @@
       "f": 1.0
     }
   },
-  "sents_p": 0.9692158761,
-  "sents_r": 0.985122796,
-  "sents_f": 0.9771046006,
-  "dep_uas": 0.9031632397,
-  "dep_las": 0.8672485372,
   "dep_las_per_type": {
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     },
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     "appos": {
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     "expl:pass": {
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-      "r": 0.8,
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     },
     "csubj": {
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-      "f": 0.7243243243
     },
     "parataxis": {
-      "p": 0.6875,
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-      "f": 0.5
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     "expl:impers": {
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       "r": 0.625,
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     "orphan": {
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@@ -292,32 +292,32 @@
       "f": 0.0
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-  "tag_acc": 0.9586196981,
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   },
-  "speed": 9394.8724037462
 }

 {
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   "token_p": 0.9989078786,
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   "token_f": 0.9992237736,
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