EC2 Default User commited on
Commit
5d18e87
·
1 Parent(s): e8df796

Update spaCy pipeline

Browse files
README.md CHANGED
@@ -8,40 +8,55 @@ license: gpl-3.0
8
  model-index:
9
  - name: es_dep_news_trf
10
  results:
 
 
 
 
 
 
 
11
  - 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 Accuracy
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  type: accuracy
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- value: 0.9668267341
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  - task:
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- name: SENTER
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  type: token-classification
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  metrics:
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- - name: SENTER Precision
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- type: precision
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- value: 0.9624105012
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- - name: SENTER Recall
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- type: recall
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- value: 0.9752116082
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- - name: SENTER F Score
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- type: f_score
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- value: 0.9687687688
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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 Dependencies Accuracy
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  type: accuracy
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- value: 0.9461435373
 
 
 
 
 
 
 
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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 Dependencies Accuracy
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- type: accuracy
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- value: 0.9461435373
 
 
 
 
 
 
 
45
  ---
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  ### Details: https://spacy.io/models/es#es_dep_news_trf
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@@ -50,8 +65,8 @@ Spanish transformer pipeline (dccuchile/bert-base-spanish-wwm-cased). Components
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `es_dep_news_trf` |
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- | **Version** | `3.2.0` |
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- | **spaCy** | `>=3.2.0,<3.3.0` |
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  | **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer` |
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  | **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer` |
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  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
@@ -80,15 +95,15 @@ Spanish transformer pipeline (dccuchile/bert-base-spanish-wwm-cased). Components
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  | `TOKEN_P` | 99.89 |
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  | `TOKEN_R` | 99.95 |
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  | `TOKEN_F` | 99.92 |
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- | `POS_ACC` | 99.07 |
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- | `MORPH_ACC` | 98.77 |
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  | `MORPH_MICRO_P` | 99.67 |
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- | `MORPH_MICRO_R` | 99.32 |
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- | `MORPH_MICRO_F` | 99.49 |
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- | `SENTS_P` | 96.24 |
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- | `SENTS_R` | 97.52 |
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  | `SENTS_F` | 96.88 |
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- | `DEP_UAS` | 94.61 |
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- | `DEP_LAS` | 92.73 |
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- | `TAG_ACC` | 96.68 |
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- | `LEMMA_ACC` | 96.78 |
 
8
  model-index:
9
  - name: es_dep_news_trf
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  results:
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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: 0.9672676386
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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: 0.991133987
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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: 0.9882476994
 
 
 
 
 
 
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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: 0.9678853802
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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: 0.9473191035
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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: 0.9285130585
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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: 0.9688436189
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  ---
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  ### Details: https://spacy.io/models/es#es_dep_news_trf
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `es_dep_news_trf` |
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+ | **Version** | `3.3.0` |
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+ | **spaCy** | `>=3.3.0.dev0,<3.4.0` |
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  | **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer` |
71
  | **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer` |
72
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
 
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  | `TOKEN_P` | 99.89 |
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  | `TOKEN_R` | 99.95 |
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  | `TOKEN_F` | 99.92 |
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+ | `POS_ACC` | 99.11 |
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+ | `MORPH_ACC` | 98.82 |
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  | `MORPH_MICRO_P` | 99.67 |
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+ | `MORPH_MICRO_R` | 99.37 |
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+ | `MORPH_MICRO_F` | 99.52 |
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+ | `SENTS_P` | 96.02 |
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+ | `SENTS_R` | 97.76 |
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  | `SENTS_F` | 96.88 |
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+ | `DEP_UAS` | 94.73 |
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+ | `DEP_LAS` | 92.85 |
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+ | `TAG_ACC` | 96.73 |
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+ | `LEMMA_ACC` | 96.79 |
accuracy.json CHANGED
@@ -3,66 +3,66 @@
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  "p": 1.0,
@@ -75,24 +75,24 @@
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@@ -100,9 +100,9 @@
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  "p": 1.0,
@@ -115,156 +115,156 @@
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  "f": 1.0
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@@ -292,7 +292,7 @@
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