RealGuardrails-Qwen2.5-7B-SFT/README.md

license, datasets, base_model, library_name

license	datasets	base_model	library_name
mit	normster/RealGuardrails	Qwen/Qwen2.5-7B	transformers

RealGuardrails Models

This model was trained on the RealGuardrails dataset, an instruction-tuning dataset focused on improving system prompt adherence and precedence. In particular, it was trained via SFT on the systemmix split of ~150K examples using our custom training library torchllms and converted back to a transformers compatible checkpoint.

Training Hyperparameters

Name	Value
optimizer	AdamW
batch size	128
learning rate	2e-5
lr scheduler	cosine with 200 warmup steps
betas	(0.9, 0.999)
eps	1e-8
weight decay	0
epochs	1
max grad norm	1.0
precision	bf16
max length	4096