|
--- |
|
tags: |
|
- spacy |
|
- token-classification |
|
- text-classification |
|
language: |
|
- en |
|
model-index: |
|
- name: en_tech |
|
results: |
|
- task: |
|
name: NER |
|
type: token-classification |
|
metrics: |
|
- name: NER Precision |
|
type: precision |
|
value: 0.9445557782 |
|
- name: NER Recall |
|
type: recall |
|
value: 0.9428761947 |
|
- name: NER F Score |
|
type: f_score |
|
value: 0.9437152392 |
|
--- |
|
| Feature | Description | |
|
| --- | --- | |
|
| **Name** | `en_tech` | |
|
| **Version** | `0.0.7` | |
|
| **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 (33 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`, `4745` | |
|
|
|
</details> |
|
|
|
### Accuracy |
|
|
|
| Type | Score | |
|
| --- | --- | |
|
| `ENTS_F` | 94.37 | |
|
| `ENTS_P` | 94.46 | |
|
| `ENTS_R` | 94.29 | |
|
| `CATS_SCORE` | 99.62 | |
|
| `CATS_MICRO_P` | 99.58 | |
|
| `CATS_MICRO_R` | 99.58 | |
|
| `CATS_MICRO_F` | 99.58 | |
|
| `CATS_MACRO_P` | 99.54 | |
|
| `CATS_MACRO_R` | 99.72 | |
|
| `CATS_MACRO_F` | 99.62 | |
|
| `CATS_MACRO_AUC` | 100.00 | |
|
| `TOK2VEC_LOSS` | 7666339.45 | |
|
| `NER_LOSS` | 135520.97 | |
|
| `TEXTCAT_LOSS` | 13.82 | |
