metadata
license: mit
datasets:
- normster/RealGuardrails
base_model:
- meta-llama/Llama-3.2-3B
library_name: 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 |