Update spaCy pipeline

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Files changed (13) hide show

LICENSES_SOURCES +3 -3
README.md +30 -30
accuracy.json +161 -161
attribute_ruler/patterns +0 -0
ca_core_news_trf-any-py3-none-any.whl +2 -2
config.cfg +3 -2
meta.json +169 -169
morphologizer/model +1 -1
ner/model +1 -1
parser/model +1 -1
tokenizer +1 -1
transformer/model +2 -2
vocab/strings.json +2 -2

LICENSES_SOURCES CHANGED Viewed

@@ -145,10 +145,10 @@ Affirmer understands and acknowledges that Creative Commons is not a party to th
-# PlanTL-GOB-ES/roberta-base-ca
-* Author: Armengol-Estapé, Jordi; Carrino, Casimiro Pio; Rodriguez-Penagos, Carlos; de Gibert Bonet, Ona; Armentano-Oller, Carme; Gonzalez-Agirre, Aitor; Melero, Maite; Villegas, Marta
-* URL: https://huggingface.co/PlanTL-GOB-ES/roberta-base-ca
 * License: Apache-2.0
 ```

+# projecte-aina/roberta-base-ca-v2
+* Author: Text Mining Unit (TeMU) at the Barcelona Supercomputing Center
+* URL: https://huggingface.co/projecte-aina/roberta-base-ca-v2
 * License: Apache-2.0
 ```

README.md CHANGED Viewed

@@ -14,76 +14,76 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 0.9132835336
     - name: NER Recall
       type: recall
-      value: 0.9097379489
     - name: NER F Score
       type: f_score
-      value: 0.9115072934
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
-      value: 0.9631737818
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
-      value: 0.9631737818
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
-      value: 0.9566792297
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
-      value: 0.9768696927
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
-      value: 0.9477454819
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
-      value: 0.9315995046
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
-      value: 0.9941383353
 ---
 ### Details: https://spacy.io/models/ca#ca_core_news_trf
-Catalan transformer pipeline (PlanTL-GOB-ES/roberta-base-ca). Components: transformer, morphologizer, parser, ner, attribute_ruler, lemmatizer.
 | Feature | Description |
 | --- | --- |
 | **Name** | `ca_core_news_trf` |
-| **Version** | `3.4.0` |
-| **spaCy** | `>=3.4.0,<3.5.0` |
 | **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
-| **Sources** | [UD Catalan AnCora v2.8](https://github.com/UniversalDependencies/UD_Catalan-AnCora) (Martínez Alonso, Héctor; Pascual, Elena; Zeman, Daniel)<br />[UD Catalan AnCora v2.8 + NER v3.2.8](https://github.com/TeMU-BSC/spacy/releases/tag/3.2.8) (Carlos Rodríguez-Penagos and Carme Armentano-Oller)<br />[Catalan Lemmatizer](https://github.com/explosion/spacy-lookups-data) (Text Mining Unit, Barcelona Supercomputing Center)<br />[PlanTL-GOB-ES/roberta-base-ca](https://huggingface.co/PlanTL-GOB-ES/roberta-base-ca) (Armengol-Estapé, Jordi; Carrino, Casimiro Pio; Rodriguez-Penagos, Carlos; de Gibert Bonet, Ona; Armentano-Oller, Carme; Gonzalez-Agirre, Aitor; Melero, Maite; Villegas, Marta) |
 | **License** | `GNU GPL 3.0` |
 | **Author** | [Explosion](https://explosion.ai) |
@@ -105,22 +105,22 @@ Catalan transformer pipeline (PlanTL-GOB-ES/roberta-base-ca). Components: transf
 | Type | Score |
 | --- | --- |
-| `TOKEN_ACC` | 99.97 |
 | `TOKEN_P` | 99.78 |
 | `TOKEN_R` | 99.79 |
 | `TOKEN_F` | 99.79 |
-| `POS_ACC` | 96.32 |
-| `MORPH_ACC` | 95.67 |
-| `MORPH_MICRO_P` | 99.38 |
-| `MORPH_MICRO_R` | 98.85 |
-| `MORPH_MICRO_F` | 99.11 |
-| `SENTS_P` | 99.59 |
-| `SENTS_R` | 99.24 |
-| `SENTS_F` | 99.41 |
-| `DEP_UAS` | 94.77 |
-| `DEP_LAS` | 93.16 |
-| `TAG_ACC` | 96.32 |
-| `LEMMA_ACC` | 97.69 |
-| `ENTS_P` | 91.33 |
-| `ENTS_R` | 90.97 |
-| `ENTS_F` | 91.15 |

     metrics:
     - name: NER Precision
       type: precision
+      value: 0.9170191995
     - name: NER Recall
       type: recall
+      value: 0.9116790683
     - name: NER F Score
       type: f_score
+      value: 0.9143413368
   - task:
       name: TAG
       type: token-classification
     metrics:
     - name: TAG (XPOS) Accuracy
       type: accuracy
+      value: 0.9635621944
   - task:
       name: POS
       type: token-classification
     metrics:
     - name: POS (UPOS) Accuracy
       type: accuracy
+      value: 0.9635621944
   - task:
       name: MORPH
       type: token-classification
     metrics:
     - name: Morph (UFeats) Accuracy
       type: accuracy
+      value: 0.9569642087
   - task:
       name: LEMMA
       type: token-classification
     metrics:
     - name: Lemma Accuracy
       type: accuracy
+      value: 0.9817147291
   - task:
       name: UNLABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Unlabeled Attachment Score (UAS)
       type: f_score
+      value: 0.9481666365
   - task:
       name: LABELED_DEPENDENCIES
       type: token-classification
     metrics:
     - name: Labeled Attachment Score (LAS)
       type: f_score
+      value: 0.9307828605
   - task:
       name: SENTS
       type: token-classification
     metrics:
     - name: Sentences F-Score
       type: f_score
+      value: 0.9885731028
 ---
 ### Details: https://spacy.io/models/ca#ca_core_news_trf
+Catalan transformer pipeline (projecte-aina/roberta-base-ca-v2). Components: transformer, morphologizer, parser, ner, attribute_ruler, lemmatizer.
 | Feature | Description |
 | --- | --- |
 | **Name** | `ca_core_news_trf` |
+| **Version** | `3.5.0` |
+| **spaCy** | `>=3.5.0,<3.6.0` |
 | **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
+| **Sources** | [UD Catalan AnCora v2.8](https://github.com/UniversalDependencies/UD_Catalan-AnCora) (Martínez Alonso, Héctor; Pascual, Elena; Zeman, Daniel)<br />[UD Catalan AnCora v2.8 + NER v3.2.8](https://github.com/TeMU-BSC/spacy/releases/tag/3.2.8) (Carlos Rodríguez-Penagos and Carme Armentano-Oller)<br />[Catalan Lemmatizer](https://github.com/explosion/spacy-lookups-data) (Text Mining Unit, Barcelona Supercomputing Center)<br />[projecte-aina/roberta-base-ca-v2](https://huggingface.co/projecte-aina/roberta-base-ca-v2) (Text Mining Unit (TeMU) at the Barcelona Supercomputing Center) |
 | **License** | `GNU GPL 3.0` |
 | **Author** | [Explosion](https://explosion.ai) |
 | Type | Score |
 | --- | --- |
+| `TOKEN_ACC` | 99.93 |
 | `TOKEN_P` | 99.78 |
 | `TOKEN_R` | 99.79 |
 | `TOKEN_F` | 99.79 |
+| `POS_ACC` | 96.36 |
+| `MORPH_ACC` | 95.70 |
+| `MORPH_MICRO_P` | 99.37 |
+| `MORPH_MICRO_R` | 98.89 |
+| `MORPH_MICRO_F` | 99.13 |
+| `SENTS_P` | 99.00 |
+| `SENTS_R` | 98.71 |
+| `SENTS_F` | 98.86 |
+| `DEP_UAS` | 94.82 |
+| `DEP_LAS` | 93.08 |
+| `TAG_ACC` | 96.36 |
+| `LEMMA_ACC` | 98.17 |
+| `ENTS_P` | 91.70 |
+| `ENTS_R` | 91.17 |
+| `ENTS_F` | 91.43 |

accuracy.json CHANGED Viewed

@@ -1,83 +1,83 @@
 {
-  "token_acc": 0.9996638134,
   "token_p": 0.9978112128,
   "token_r": 0.9979488063,
   "token_f": 0.9978800048,
-  "pos_acc": 0.9631737818,
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-  "morph_micro_p": 0.9937682259,
-  "morph_micro_r": 0.9885064322,
-  "morph_micro_f": 0.9911303456,
   "morph_per_feat": {
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     "Gender": {
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       "r": 0.9901685393,
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@@ -86,23 +86,23 @@
     },
     "Degree": {
       "p": 1.0,
-      "r": 0.9929328622,
-      "f": 0.9964539007
     },
     "Poss": {
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     "Number[psor]": {
       "p": 1.0,
@@ -115,136 +115,136 @@
       "f": 1.0
     }
   },
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@@ -252,14 +252,14 @@
       "f": 0.0
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@@ -272,32 +272,32 @@
       "f": 0.0
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-  "tag_acc": 0.9631737818,
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-  "speed": 4732.2981772239
 }

 {
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+  "pos_acc": 0.9635621944,
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   "sources":[
     {
       "author":"Text Mining Unit, Barcelona Supercomputing Center"
     },
     {
+      "name":"projecte-aina/roberta-base-ca-v2",
+      "author":"Text Mining Unit (TeMU) at the Barcelona Supercomputing Center",
+      "url":"https://huggingface.co/projecte-aina/roberta-base-ca-v2",
       "license":"Apache-2.0"
     }
   ],
   "requirements":[
+    "spacy-transformers>=1.2.0.dev0,<1.3.0"
   ]
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