SocialCompUW
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README.md
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license: apache-2.0
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---
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license: apache-2.0
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library_name: peft
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tags:
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- llama-factory
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- lora
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base_model: lmsys/vicuna-13b-v1.5-16k
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model-index:
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- name: CHAST
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results: []
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---
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# CHAST (Finetuned Vicuna13b_16K_yaml_lora32)
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This model is a fine-tuned version of [lmsys/vicuna-13b-v1.5-16k](https://huggingface.co/lmsys/vicuna-13b-v1.5-16k).
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## Model description
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Computes Covert Harms and Social Threats (CHAST) metrics for conversational data.
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- num_epochs: 2.0
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- mixed_precision_training: Native AMP
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### Framework versions
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- PEFT 0.9.0
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- Transformers 4.37.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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