metadata
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ai-chat-censor6
results: []
ai-chat-censor6
The primary focus of the model is detecting sexual/minors category of messages.
Possible flags are: regular, racist, underage, sexual
BEWARE
The model might categorize any talk about race as racism, for example: "Black people suffer so much in America" will be flagged as "racist".
Training and evaluation data
Model was trained on a fully synthetic dataset generated by uncensored 72b models based on qwen2.
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0637
- Accuracy: 0.9903
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0471 | 1.0 | 1175 | 0.0729 | 0.9854 |
| 0.0282 | 2.0 | 2350 | 0.0529 | 0.9900 |
| 0.0105 | 3.0 | 3525 | 0.0680 | 0.9888 |
| 0.0079 | 4.0 | 4700 | 0.0558 | 0.9911 |
| 0.0017 | 5.0 | 5875 | 0.0595 | 0.9902 |
| 0.0001 | 6.0 | 7050 | 0.0637 | 0.9903 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1