| --- |
| tags: |
| - spacy |
| - token-classification |
| - text-classification |
| language: |
| - en |
| model-index: |
| - name: en_scispaCy_aaa_classification |
| results: |
| - task: |
| name: NER |
| type: token-classification |
| metrics: |
| - name: NER Precision |
| type: precision |
| value: 0.0 |
| - name: NER Recall |
| type: recall |
| value: 0.0 |
| - name: NER F Score |
| type: f_score |
| value: 0.0 |
| - task: |
| name: TAG |
| type: token-classification |
| metrics: |
| - name: TAG (XPOS) Accuracy |
| type: accuracy |
| value: 0.0 |
| - task: |
| name: LEMMA |
| type: token-classification |
| metrics: |
| - name: Lemma Accuracy |
| type: accuracy |
| value: 0.0 |
| - task: |
| name: UNLABELED_DEPENDENCIES |
| type: token-classification |
| metrics: |
| - name: Unlabeled Attachment Score (UAS) |
| type: f_score |
| value: 0.0 |
| - task: |
| name: LABELED_DEPENDENCIES |
| type: token-classification |
| metrics: |
| - name: Labeled Attachment Score (LAS) |
| type: f_score |
| value: 0.0 |
| - task: |
| name: SENTS |
| type: token-classification |
| metrics: |
| - name: Sentences F-Score |
| type: f_score |
| value: 0.0 |
| --- |
| | Feature | Description | |
| | --- | --- | |
| | **Name** | `en_scispaCy_aaa_classification` | |
| | **Version** | `1.0.0` | |
| | **spaCy** | `>=3.7.4,<3.8.0` | |
| | **Default Pipeline** | `tok2vec`, `tagger`, `attribute_ruler`, `lemmatizer`, `parser`, `ner`, `textcat_multilabel` | |
| | **Components** | `tok2vec`, `tagger`, `attribute_ruler`, `lemmatizer`, `parser`, `ner`, `textcat_multilabel` | |
| | **Vectors** | 4087446 keys, 50000 unique vectors (200 dimensions) | |
| | **Sources** | n/a | |
| | **License** | GPL v3| |
| | **Author** | Daniel C Thompson | |
|
|
| ### Label Scheme |
|
|
| <details> |
|
|
| <summary>View label scheme (99 labels for 4 components)</summary> |
|
|
| | Component | Labels | |
|
|
| | **`textcat_multilabel`** | `AAA` | |
| |
| </details> |
| |
| ### Accuracy |
| |
| | Type | Score | |
| | --- | --- | |
| | `CATS_SCORE` | 99.46 | |
| | `CATS_MICRO_P` | 93.06 | |
| | `CATS_MICRO_R` | 99.26 | |
| | `CATS_MICRO_F` | 96.06 | |
| | `CATS_MACRO_P` | 93.06 | |
| | `CATS_MACRO_R` | 99.26 | |
| | `CATS_MACRO_F` | 96.06 | |
| | `CATS_MACRO_AUC` | 99.46 | |
| | `TOK2VEC_LOSS` | 76.75 | |
| | `TEXTCAT_MULTILABEL_LOSS` | 246.39 | |
