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 | 0.1.2 |
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` | cp, adult, underage_safe, safe |
</details>
### Accuracy
Type | Score |
— | — |
CATS_SCORE | 91.32 |
CATS_MICRO_P | 91.32 |
CATS_MICRO_R | 91.32 |
CATS_MICRO_F | 91.32 |
CATS_MACRO_P | 91.37 |
CATS_MACRO_R | 91.31 |
CATS_MACRO_F | 91.32 |
CATS_MACRO_AUC | 98.93 |
TOK2VEC_LOSS | 27145.38 |
TEXTCAT_LOSS | 693.56 |
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