# Detoxify evaluation

[Detoxify](https://github.com/unitaryai/detoxify) is a open source model used to
identify prompts as toxic

<img  src="https://raw.githubusercontent.com/unitaryai/detoxify/master/examples.png"  alt="Image from detoxify github that shows the example input/output of their model"  />

It contains 3 different models that vary in transformer type and data it was
trained on

|  Model name  | Transformer type  |                 Data from                  |
| :----------: | :---------------: | :----------------------------------------: |
|   original   | bert-base-uncased |   Toxic Comment Classification Challenge   |
|   unbiased   |   roberta-base    | Unintended Bias in Toxicity Classification |
| multilingual | xlm-roberta-base  | Multilingual Toxic Comment Classification  |

Unbiased and original models also have a 'small' version - but since normal
models are not memory heavy, and small models perform noticably worse, they are
only described in the notebook

## All tests below were ran on a 3090TI

# Inference and training times and memory usages

Charts showing detailed memory usages and times for different sentence lengths
and batch sizes are inside the notebook Quick overview batch size 16, sentence
length 4k for training, batch size 128 sentence length 4k for Inference

|  Model name  | Training memory | Training speed | Inference Memory | Inference Speed |
| :----------: | :-------------: | :------------: | :--------------: | :-------------: |
|   original   |     11.8GB      |     2.40s      |      4.8GB       |     16.48s      |
|   unbiased   |      12GB       |     1.09s      |      4.8GB       |      5.59s      |
| multilingual |      14GB       |     1.00s      |      5.5GB       |      4.89s      |

# Filtering quality

Detoxify was tested on 4 different types of inputs

- Not obviously toxic
- Not obviously non-toxic
- Obviously toxic
- Obviously non-toxic

### Sentences used for testing and rating are contained inside the .ipynb

|  Model name  |                                      Not obviously toxic                                       |                         Not obviously non-toxic                         |                         Obviously toxic                          | Obviously non-toxic |
| :----------: | :--------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------: | :--------------------------------------------------------------: | :-----------------: |
|   original   | failed at all, easily accepted racist, sexist overally toxic prompts that were well formulated |       Very sensitive on swear words, failed to reckognize context       |                         good performance                         |  good performance   |
|   unbiased   |                 Managed to find some hidden toxicity but not on all sentences                  | Very sensitive explicit language but shown ability to recognize context | Did well but failed to reckognize some gender stereotype mockery |  good performance   |
| multilingual |                 Managed to find some hidden toxicity but not on all sentences                  | Very sensitive explicit language but shown ability to recognize context | Did well but failed to reckognize some gender stereotype mockery |  good performance   |

Subjectivly 'unbiased' looks like the best performing model.

I don't think it would do well as a security layer in a live version of open
assistant unless we do some finetuning first, because it can be fooled to pass
toxicity if it's presented in formal language.

With some caution it can be used to filter prompts but I would suggest also
using someone for verification of messages that are marked as toxic but still
below 90% confidence

# Licensing

### Detoxify is on [Apache-2.0](https://github.com/unitaryai/detoxify/blob/master/LICENSE) license that means:

#### You can:

- Commercial use

- Modification

- Distribution

- Patent use

- Private use

#### You cannot

- Hold the owner liable

- Use the owner's trademark

#### You must

- Include Copyright

- Include License

- State changes you made to the product

- Include notice

This is obviously not legal advice.

# Hosting

The model is currently available on
[huggingface](https://huggingface.co/unitary) and torch hub

```
torch.hub.load('unitaryai/detoxify',model)
```

where model is one of:

- toxic_bert

- unbiased_toxic_roberta

- multilingual_toxic_xlm_r
