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Parent(s):
796dea5
Update spaCy pipeline
Browse files- README.md +27 -33
- accuracy.json +201 -201
- attribute_ruler/patterns +0 -0
- config.cfg +3 -1
- en_core_web_trf-any-py3-none-any.whl +2 -2
- meta.json +204 -204
- ner/model +1 -1
- parser/model +1 -1
- parser/moves +1 -1
- tagger/cfg +1 -0
- tagger/model +2 -2
- tokenizer +0 -0
- transformer/model +2 -2
- vocab/strings.json +2 -2
README.md
CHANGED
@@ -14,47 +14,41 @@ 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:
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type: token-classification
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metrics:
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- name:
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type: accuracy
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value: 0.
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- task:
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name:
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type: token-classification
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metrics:
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- name:
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type: precision
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value: 0.9568827385
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-
- name: SENTER Recall
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-
type: recall
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-
value: 0.8666798601
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-
- name: SENTER 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:
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type: token-classification
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metrics:
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- name:
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type:
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value: 0.
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- task:
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name:
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type: token-classification
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metrics:
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-
- name:
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type:
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value: 0.
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---
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### Details: https://spacy.io/models/en#en_core_web_trf
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@@ -63,8 +57,8 @@ English transformer pipeline (roberta-base). Components: transformer, tagger, pa
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_core_web_trf` |
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-
| **Version** | `3.
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| **spaCy** | `>=3.
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| **Default Pipeline** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Components** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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@@ -95,11 +89,11 @@ English transformer pipeline (roberta-base). Components: transformer, tagger, pa
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| `TOKEN_R` | 99.58 |
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| `TOKEN_F` | 99.57 |
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| `TAG_ACC` | 97.81 |
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-
| `SENTS_P` |
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| `SENTS_R` |
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| `SENTS_F` |
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| `DEP_UAS` | 95.
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| `DEP_LAS` | 93.
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-
| `ENTS_P` |
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| `ENTS_R` | 89.
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| `ENTS_F` | 89.
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metrics:
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- name: NER Precision
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type: precision
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+
value: 0.9010175297
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- name: NER Recall
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type: recall
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+
value: 0.8957832532
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- name: NER F Score
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type: f_score
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value: 0.8983927675
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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: 0.9781090037
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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: 0.9523761283
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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: 0.9391113934
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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: 0.8975616543
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---
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### Details: https://spacy.io/models/en#en_core_web_trf
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_core_web_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`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Components** | `transformer`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
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| `TOKEN_R` | 99.58 |
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| `TOKEN_F` | 99.57 |
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| `TAG_ACC` | 97.81 |
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+
| `SENTS_P` | 94.94 |
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| `SENTS_R` | 85.11 |
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| `SENTS_F` | 89.76 |
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| `DEP_UAS` | 95.24 |
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| `DEP_LAS` | 93.91 |
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| `ENTS_P` | 90.10 |
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| `ENTS_R` | 89.58 |
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| `ENTS_F` | 89.84 |
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accuracy.json
CHANGED
@@ -1,330 +1,330 @@
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attribute_ruler/patterns
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config.cfg
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@@ -79,12 +79,14 @@ pooling = {"@layers":"reduce_mean.v1"}
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