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--- |
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tags: |
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- spacy |
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- token-classification |
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- text-classification |
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language: |
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- en |
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model-index: |
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- name: en_tech_model |
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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: 0.9530851606 |
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- name: NER Recall |
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type: recall |
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value: 0.9504195271 |
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- name: NER F Score |
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type: f_score |
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value: 0.9517504774 |
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--- |
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| Feature | Description | |
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| --- | --- | |
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| **Name** | `en_tech_model` | |
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| **Version** | `0.0.4` | |
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| **spaCy** | `>=3.7.5,<3.8.0` | |
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| **Default Pipeline** | `tok2vec`, `ner`, `textcat` | |
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| **Components** | `tok2vec`, `ner`, `textcat` | |
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| **Vectors** | 514157 keys, 514157 unique vectors (300 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 (32 labels for 2 components)</summary> |
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| Component | Labels | |
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| --- | --- | |
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| **`ner`** | `BATTERY`, `BRAND`, `CACHE`, `CAM_RES`, `CHARGE`, `CLOCK_SPEED`, `COLOR`, `CORE_COUNT`, `FEATURE`, `GEN`, `GRAPHICS`, `GRAPHICS_RAM`, `MEM_TYPE`, `MODEL_NUMBER`, `OPERATING_SYSTEM`, `PROCESSOR`, `PROCESSOR_MODEL`, `PRODUCT_SERIES`, `RAM`, `RESOLUTION`, `SCREEN_SIZE`, `SCREEN_TYPE`, `SOCKET`, `STORAGE`, `STORAGE_TYPE`, `TAG`, `TYPE` | |
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| **`textcat`** | `267`, `292`, `297`, `325`, `328` | |
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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` | 95.18 | |
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| `ENTS_P` | 95.31 | |
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| `ENTS_R` | 95.04 | |
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| `CATS_SCORE` | 99.51 | |
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| `CATS_MICRO_P` | 99.52 | |
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| `CATS_MICRO_R` | 99.52 | |
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| `CATS_MICRO_F` | 99.52 | |
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| `CATS_MACRO_P` | 99.55 | |
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| `CATS_MACRO_R` | 99.48 | |
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| `CATS_MACRO_F` | 99.51 | |
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| `CATS_MACRO_AUC` | 100.00 | |
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| `TOK2VEC_LOSS` | 1022799.22 | |
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| `NER_LOSS` | 52929.76 | |
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| `TEXTCAT_LOSS` | 4.84 | |
