NSFW pipeline that classifies prompt, using a character embedding model
Project description
NSFW pipeline that classifies prompt, using a character embedding model
Feature | Description |
— | — |
Name | en_prompt_nsfw_pipeline_char_embed |
Version | 0.3.0 |
spaCy | >=3.0.0,<4.0.0 |
Default Pipeline | tok2vec, textcat |
Components | tok2vec, textcat |
Vectors | 514157 keys, 20000 unique vectors (300 dimensions) |
Sources | n/a |
License | UNLICENSED |
Author | [Jiayu Liu]() |
### Label Scheme
<details>
<summary>View label scheme (4 labels for 1 components)</summary>
Component | Labels |
— | — |
`textcat` | safe, cp, underage_safe, adult |
</details>
### Accuracy
Type | Score |
— | — |
CATS_SCORE | 88.96 |
CATS_MICRO_P | 90.14 |
CATS_MICRO_R | 90.14 |
CATS_MICRO_F | 90.14 |
CATS_MACRO_P | 90.68 |
CATS_MACRO_R | 87.93 |
CATS_MACRO_F | 88.96 |
CATS_MACRO_AUC | 98.29 |
TOK2VEC_LOSS | 7740.17 |
TEXTCAT_LOSS | 819.21 |
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