---
tags:
- spacy
- token-classification
- text-classification
language:
- en
model-index:
- name: en_tech_model
  results:
  - task:
      name: NER
      type: token-classification
    metrics:
    - name: NER Precision
      type: precision
      value: 0.9530851606
    - name: NER Recall
      type: recall
      value: 0.9504195271
    - name: NER F Score
      type: f_score
      value: 0.9517504774
---
| Feature | Description |
| --- | --- |
| **Name** | `en_tech_model` |
| **Version** | `0.0.4` |
| **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 (32 labels for 2 components)</summary>

| Component | Labels |
| --- | --- |
| **`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` |
| **`textcat`** | `267`, `292`, `297`, `325`, `328` |

</details>

### Accuracy

| Type | Score |
| --- | --- |
| `ENTS_F` | 95.18 |
| `ENTS_P` | 95.31 |
| `ENTS_R` | 95.04 |
| `CATS_SCORE` | 99.51 |
| `CATS_MICRO_P` | 99.52 |
| `CATS_MICRO_R` | 99.52 |
| `CATS_MICRO_F` | 99.52 |
| `CATS_MACRO_P` | 99.55 |
| `CATS_MACRO_R` | 99.48 |
| `CATS_MACRO_F` | 99.51 |
| `CATS_MACRO_AUC` | 100.00 |
| `TOK2VEC_LOSS` | 1022799.22 |
| `NER_LOSS` | 52929.76 |
| `TEXTCAT_LOSS` | 4.84 |