metadata

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. 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.