| | --- |
| | 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 | |
