---
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.