Commit
•
402d614
1
Parent(s):
8c26f2a
Update spaCy pipeline
Browse files- LICENSES_SOURCES +2 -2
- README.md +26 -26
- accuracy.json +149 -149
- ca_core_news_trf-any-py3-none-any.whl +2 -2
- config.cfg +2 -1
- meta.json +155 -155
- morphologizer/cfg +1 -0
- morphologizer/model +1 -1
- ner/model +1 -1
- parser/model +1 -1
- transformer/model +2 -2
LICENSES_SOURCES
CHANGED
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@@ -11,10 +11,10 @@ http://www.gnu.org/licenses/gpl.html```
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-
# UD Catalan AnCora v2.8 + NER v3.2.
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* Author: Carlos Rodríguez-Penagos and Carme Armentano-Oller
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-
* URL: https://github.com/TeMU-BSC/spacy/releases/tag/3.2.
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* License: CC BY 4.0
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```
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+
# UD Catalan AnCora v2.8 + NER v3.2.9
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* Author: Carlos Rodríguez-Penagos and Carme Armentano-Oller
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+
* URL: https://github.com/TeMU-BSC/spacy/releases/tag/3.2.9
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* License: CC BY 4.0
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```
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README.md
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@@ -14,62 +14,62 @@ model-index:
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metrics:
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- name: NER Precision
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type: precision
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-
value: 0.
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- name: NER Recall
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type: recall
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-
value: 0.
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- name: NER F Score
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type: f_score
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-
value: 0.
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- task:
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name: TAG
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type: token-classification
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metrics:
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- name: TAG (XPOS) Accuracy
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type: accuracy
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-
value: 0.
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- task:
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name: POS
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type: token-classification
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metrics:
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- name: POS (UPOS) Accuracy
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type: accuracy
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-
value: 0.
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- task:
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name: MORPH
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type: token-classification
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metrics:
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- name: Morph (UFeats) Accuracy
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type: accuracy
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-
value: 0.
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- task:
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name: LEMMA
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type: token-classification
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metrics:
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- name: Lemma Accuracy
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type: accuracy
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-
value: 0.
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- task:
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name: UNLABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Unlabeled Attachment Score (UAS)
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type: f_score
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-
value: 0.
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- task:
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name: LABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Labeled Attachment Score (LAS)
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type: f_score
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-
value: 0.
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- task:
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name: SENTS
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type: token-classification
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metrics:
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- name: Sentences F-Score
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type: f_score
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-
value: 0.
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---
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### Details: https://spacy.io/models/ca#ca_core_news_trf
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@@ -78,12 +78,12 @@ Catalan transformer pipeline (projecte-aina/roberta-base-ca-v2). Components: tra
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| Feature | Description |
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| --- | --- |
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| **Name** | `ca_core_news_trf` |
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-
| **Version** | `3.
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-
| **spaCy** | `>=3.
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| **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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-
| **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.
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| **License** | `GNU GPL 3.0` |
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| **Author** | [Explosion](https://explosion.ai) |
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@@ -109,18 +109,18 @@ Catalan transformer pipeline (projecte-aina/roberta-base-ca-v2). Components: tra
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| `TOKEN_P` | 99.78 |
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| `TOKEN_R` | 99.79 |
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| `TOKEN_F` | 99.79 |
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-
| `POS_ACC` | 96.
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-
| `MORPH_ACC` | 95.
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-
| `MORPH_MICRO_P` | 99.
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-
| `MORPH_MICRO_R` | 98.
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-
| `MORPH_MICRO_F` |
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| `SENTS_P` | 99.
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-
| `SENTS_R` |
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| `SENTS_F` |
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| `DEP_UAS` | 94.
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| `DEP_LAS` | 93.08 |
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-
| `TAG_ACC` | 96.
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| `LEMMA_ACC` | 98.17 |
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-
| `ENTS_P` |
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-
| `ENTS_R` | 91.
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-
| `ENTS_F` | 91.
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metrics:
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- name: NER Precision
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type: precision
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+
value: 0.9222476315
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- name: NER Recall
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type: recall
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+
value: 0.9132966677
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- name: NER F Score
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type: f_score
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+
value: 0.9177503251
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- task:
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name: TAG
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type: token-classification
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metrics:
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- name: TAG (XPOS) Accuracy
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type: accuracy
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+
value: 0.9633641507
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- task:
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name: POS
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type: token-classification
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metrics:
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- name: POS (UPOS) Accuracy
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type: accuracy
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+
value: 0.9633641507
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- task:
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name: MORPH
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type: token-classification
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metrics:
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- name: Morph (UFeats) Accuracy
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type: accuracy
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+
value: 0.9571111935
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- task:
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name: LEMMA
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type: token-classification
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metrics:
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- name: Lemma Accuracy
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type: accuracy
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+
value: 0.9816802448
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- task:
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name: UNLABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Unlabeled Attachment Score (UAS)
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type: f_score
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+
value: 0.9484123582
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- task:
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name: LABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Labeled Attachment Score (LAS)
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type: f_score
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+
value: 0.930752303
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- task:
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name: SENTS
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type: token-classification
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metrics:
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- name: Sentences F-Score
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type: f_score
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+
value: 0.9926750659
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---
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### Details: https://spacy.io/models/ca#ca_core_news_trf
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| Feature | Description |
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| --- | --- |
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| **Name** | `ca_core_news_trf` |
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| **Version** | `3.6.1` |
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| **spaCy** | `>=3.6.0,<3.7.0` |
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| **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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+
| **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 v3.2.9](https://github.com/TeMU-BSC/spacy/releases/tag/3.2.9) (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) |
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| **License** | `GNU GPL 3.0` |
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| **Author** | [Explosion](https://explosion.ai) |
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|
|
|
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| `TOKEN_P` | 99.78 |
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| `TOKEN_R` | 99.79 |
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| `TOKEN_F` | 99.79 |
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+
| `POS_ACC` | 96.34 |
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+
| `MORPH_ACC` | 95.71 |
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+
| `MORPH_MICRO_P` | 99.41 |
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+
| `MORPH_MICRO_R` | 98.46 |
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+
| `MORPH_MICRO_F` | 98.93 |
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+
| `SENTS_P` | 99.41 |
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+
| `SENTS_R` | 99.12 |
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+
| `SENTS_F` | 99.27 |
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+
| `DEP_UAS` | 94.84 |
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| `DEP_LAS` | 93.08 |
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+
| `TAG_ACC` | 96.34 |
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| `LEMMA_ACC` | 98.17 |
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+
| `ENTS_P` | 92.22 |
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+
| `ENTS_R` | 91.33 |
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+
| `ENTS_F` | 91.78 |
|
accuracy.json
CHANGED
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@@ -3,66 +3,66 @@
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"token_p": 0.9978112128,
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"token_r": 0.9979488063,
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"token_f": 0.9978800048,
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"morph_per_feat": {
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"Mood": {
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"r": 0.9980314961,
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"p": 1.0,
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"f": 0.993485342
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"Case": {
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"p": 0.9972413793,
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|
| 243 |
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| 244 |
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| 249 |
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| 250 |
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|
@@ -252,14 +252,14 @@
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|
| 252 |
"f": 0.0
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| 254 |
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| 264 |
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| 265 |
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|
@@ -272,32 +272,32 @@
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| 274 |
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ca_core_news_trf-any-py3-none-any.whl
CHANGED
|
@@ -1,3 +1,3 @@
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|
| 1 |
version https://git-lfs.github.com/spec/v1
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oid sha256:
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| 3 |
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size
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| 1 |
version https://git-lfs.github.com/spec/v1
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oid sha256:334c4784bfa81b8608901ca77618b322ff24118a4350131a5009f6dcb593d32d
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size 459879407
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config.cfg
CHANGED
|
@@ -35,6 +35,7 @@ scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
|
|
| 35 |
[components.morphologizer]
|
| 36 |
factory = "morphologizer"
|
| 37 |
extend = false
|
|
|
|
| 38 |
overwrite = true
|
| 39 |
scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
|
| 40 |
|
|
@@ -100,8 +101,8 @@ max_batch_items = 4096
|
|
| 100 |
set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
|
| 101 |
|
| 102 |
[components.transformer.model]
|
| 103 |
-
@architectures = "spacy-transformers.TransformerModel.v3"
|
| 104 |
name = "projecte-aina/roberta-base-ca-v2"
|
|
|
|
| 105 |
mixed_precision = false
|
| 106 |
|
| 107 |
[components.transformer.model.get_spans]
|
|
|
|
| 35 |
[components.morphologizer]
|
| 36 |
factory = "morphologizer"
|
| 37 |
extend = false
|
| 38 |
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label_smoothing = 0.0
|
| 39 |
overwrite = true
|
| 40 |
scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
|
| 41 |
|
|
|
|
| 101 |
set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
|
| 102 |
|
| 103 |
[components.transformer.model]
|
|
|
|
| 104 |
name = "projecte-aina/roberta-base-ca-v2"
|
| 105 |
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@architectures = "spacy-transformers.TransformerModel.v3"
|
| 106 |
mixed_precision = false
|
| 107 |
|
| 108 |
[components.transformer.model.get_spans]
|
meta.json
CHANGED
|
@@ -1,14 +1,14 @@
|
|
| 1 |
{
|
| 2 |
"lang":"ca",
|
| 3 |
"name":"core_news_trf",
|
| 4 |
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"version":"3.
|
| 5 |
"description":"Catalan transformer pipeline (projecte-aina/roberta-base-ca-v2). Components: transformer, morphologizer, parser, ner, attribute_ruler, lemmatizer.",
|
| 6 |
"author":"Explosion",
|
| 7 |
"email":"contact@explosion.ai",
|
| 8 |
"url":"https://explosion.ai",
|
| 9 |
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|
| 10 |
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| 12 |
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| 13 |
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|
| 14 |
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|
@@ -372,66 +372,66 @@
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|
| 372 |
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| 373 |
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| 377 |
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| 378 |
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| 379 |
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|
| 380 |
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|
| 381 |
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| 382 |
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|
| 383 |
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|
| 384 |
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| 386 |
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| 391 |
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| 411 |
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@@ -439,9 +439,9 @@
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@@ -678,8 +678,8 @@
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| 678 |
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| 684 |
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| 685 |
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@@ -697,6 +697,6 @@
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| 697 |
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| 699 |
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| 701 |
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|
| 1 |
{
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| 2 |
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| 3 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 674 |
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| 679 |
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| 680 |
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| 681 |
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| 682 |
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| 683 |
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| 684 |
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| 685 |
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| 698 |
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| 699 |
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| 701 |
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morphologizer/cfg
CHANGED
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@@ -1,5 +1,6 @@
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|
| 1 |
{
|
| 2 |
"extend":false,
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|
| 3 |
"labels_morph":{
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| 5 |
"POS=PROPN":"",
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|
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|
| 1 |
{
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| 2 |
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|
| 4 |
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| 5 |
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| 6 |
"POS=PROPN":"",
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morphologizer/model
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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ner/model
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parser/model
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transformer/model
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