| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - lora |
| base_model: lmsys/vicuna-13b-v1.5-16k |
| model-index: |
| - name: CHAST |
| results: [] |
| --- |
| |
|
|
| # CHAST |
|
|
| This model is a fine-tuned version of [lmsys/vicuna-13b-v1.5-16k](https://huggingface.co/lmsys/vicuna-13b-v1.5-16k). |
| For more details, please refer to the paper: https://arxiv.org/pdf/2405.05378 |
|
|
| ## Model description |
|
|
| Computes Covert Harms and Social Threats (CHAST) metrics for conversational data. |
| For more details, please refer to the paper: https://arxiv.org/pdf/2405.05378 |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - num_epochs: 2.0 |
| - mixed_precision_training: Native AMP |
| |
| ### Framework versions |
| |
| - PEFT 0.9.0 |
| - Transformers 4.37.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
| - |
| ### Reference and Citation |
| Dammu, P. P. S., Jung, H., Singh, A., Choudhury, M., & Mitra, T. (2024). "They are uncultured": Unveiling covert harms and social threats in LLM generated conversations. arXiv. https://arxiv.org/abs/2405.05378. |
