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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: distilbert/distilbert-base-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: ai-chat-censor6 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ai-chat-censor6 |
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The primary focus of the model is detecting sexual/minors category of messages. |
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Possible flags are: regular, racist, underage, sexual |
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# BEWARE |
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The model might categorize any talk about race as racism, for example: "Black people suffer so much in America" will be flagged as "racist". |
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Model also might flag any comment containing numbers below 18 as underage. This is an issue that will be addressed in next version. |
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Here's the next version: |
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https://huggingface.co/andriadze/ai-chat-censor |
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## Training and evaluation data |
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Model was trained on a fully synthetic dataset generated by uncensored 72b models based on qwen2. |
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0637 |
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- Accuracy: 0.9903 |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.0471 | 1.0 | 1175 | 0.0729 | 0.9854 | |
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| 0.0282 | 2.0 | 2350 | 0.0529 | 0.9900 | |
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| 0.0105 | 3.0 | 3525 | 0.0680 | 0.9888 | |
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| 0.0079 | 4.0 | 4700 | 0.0558 | 0.9911 | |
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| 0.0017 | 5.0 | 5875 | 0.0595 | 0.9902 | |
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| 0.0001 | 6.0 | 7050 | 0.0637 | 0.9903 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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