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en_pipeline

Token Classification
spaCy
English
Eval Results
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deepak commited on
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1 Parent(s): 49b5176

new feature

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Files changed (16) hide show
  1. .gitattributes +19 -0
  2. README.md +3 -49
  3. config.cfg +3 -0
  4. en_pipeline-any-py3-none-any.whl +3 -0
  5. meta.json +3 -0
  6. ner/cfg +3 -0
  7. ner/model +3 -0
  8. ner/moves +3 -0
  9. tokenizer +3 -0
  10. transformer/cfg +3 -0
  11. transformer/model +3 -0
  12. vocab/key2row +3 -0
  13. vocab/lookups.bin +3 -0
  14. vocab/strings.json +3 -0
  15. vocab/vectors +3 -0
  16. vocab/vectors.cfg +3 -0
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README.md CHANGED
@@ -1,49 +1,3 @@
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- ---
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- tags:
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- - spacy
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- - token-classification
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- language:
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- - en
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- model-index:
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- - name: en_pipeline
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- results:
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- - task:
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- name: NER
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- type: token-classification
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- metrics:
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- - name: NER Precision
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- type: precision
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- value: 1.0
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- - name: NER Recall
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- type: recall
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- value: 1.0
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- - name: NER F Score
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- type: f_score
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- value: 1.0
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- ---
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- | Feature | Description |
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- | --- | --- |
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- | **Name** | `bias` |
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- | **Version** | `0.0.0` |
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- | **spaCy** | `>=3.2.1,<3.3.0` |
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- | **Default Pipeline** | `tok2vec`, `ner` |
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- | **Components** | `tok2vec`, `ner` |
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- | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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- | **Sources** | n/a |
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- | **License** | n/a |
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- | **Author** | [n/a]() |
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- ### Label Scheme
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- <details>
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- <summary>View label scheme (1 labels for 1 components)</summary>
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- | Component | Labels |
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- | --- | --- |
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- | **`ner`** | `bias` |
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- </details>
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- ### Accuracy
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- | Type | Score |
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- | --- | --- |
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- | `ENTS_F` | 100.00 |
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- | `ENTS_P` | 100.00 |
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- | `ENTS_R` | 100.00 |
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- | `TOK2VEC_LOSS` | 0.00 |
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- | `NER_LOSS` | 0.00 |
 
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