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Model: normster/RealGuardrails-Qwen2.5-7B-SFT
Source: Original Platform

README.md

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+---
+license: mit
+datasets:
+- normster/RealGuardrails
+base_model:
+- Qwen/Qwen2.5-7B
+library_name: transformers
+---
+
+# RealGuardrails Models
+
+This model was trained on the [RealGuardrails](https://huggingface.co/datasets/normster/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](https://github.com/normster/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 |