| --- |
| tags: |
| - spacy |
| - token-classification |
| - text-classification |
| language: |
| - en |
| model-index: |
| - name: en_generic_big |
| results: |
| - task: |
| name: NER |
| type: token-classification |
| metrics: |
| - name: NER Precision |
| type: precision |
| value: 0.9469753547 |
| - name: NER Recall |
| type: recall |
| value: 0.9399555226 |
| - name: NER F Score |
| type: f_score |
| value: 0.943452381 |
| --- |
| | Feature | Description | |
| | --- | --- | |
| | **Name** | `en_generic_big` | |
| | **Version** | `0.0.1` | |
| | **spaCy** | `>=3.7.5,<3.8.0` | |
| | **Default Pipeline** | `tok2vec`, `ner`, `textcat` | |
| | **Components** | `tok2vec`, `ner`, `textcat` | |
| | **Vectors** | 514157 keys, 514157 unique vectors (300 dimensions) | |
| | **Sources** | n/a | |
| | **License** | n/a | |
| | **Author** | [n/a]() | |
|
|
| ### Label Scheme |
|
|
| <details> |
|
|
| <summary>View label scheme (35 labels for 2 components)</summary> |
|
|
| | Component | Labels | |
| | --- | --- | |
| | **`ner`** | `AGE`, `BRAND`, `CLOCK_SPEED`, `COLOR`, `CORE_COUNT`, `DECORATION`, `FEATURE`, `FIT`, `GENDER`, `GRAPHICS`, `GRAPHICS_RAM`, `MATERIAL`, `MEASUREMENT`, `MEASUREMENT_AREA`, `MEM_TYPE`, `MODEL_NUMBER`, `NECKLINE`, `OPERATING_SYSTEM`, `PROCESSOR`, `PROCESSOR_MODEL`, `PRODUCT_SERIES`, `RAM`, `RESOLUTION`, `SCREEN_SIZE`, `SCREEN_TYPE`, `SIZE`, `SLEEVE`, `STORAGE`, `STORAGE_TYPE`, `TAG`, `TYPE`, `ZIP` | |
| | **`textcat`** | `212`, `297`, `328` | |
|
|
| </details> |
|
|
| ### Accuracy |
|
|
| | Type | Score | |
| | --- | --- | |
| | `ENTS_F` | 94.35 | |
| | `ENTS_P` | 94.70 | |
| | `ENTS_R` | 94.00 | |
| | `CATS_SCORE` | 100.00 | |
| | `CATS_MICRO_P` | 100.00 | |
| | `CATS_MICRO_R` | 100.00 | |
| | `CATS_MICRO_F` | 100.00 | |
| | `CATS_MACRO_P` | 100.00 | |
| | `CATS_MACRO_R` | 100.00 | |
| | `CATS_MACRO_F` | 100.00 | |
| | `CATS_MACRO_AUC` | 100.00 | |
| | `TOK2VEC_LOSS` | 28927.81 | |
| | `NER_LOSS` | 63903.29 | |
| | `TEXTCAT_LOSS` | 0.08 | |
