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@@ -25,7 +25,7 @@ The model takes **building parameters** (length, width, height, and window-to-wa
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  ## 📚 Training Details
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  - **Stage 1 (Supervised Finetuning):** 1500 samples of building descriptions → IDF mappings.
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- - **Stage 2 (Reasoning Finetuning):** 500 reasoning-focused samples to improve logical consistency in geometry-to-IDF translation.
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  - **Base Model:** `unsloth/phi-4`
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  - **Frameworks Used:** [Unsloth](https://github.com/unslothai/unsloth) + Hugging Face TRL
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  - **Training Speed:** ~2× faster compared to standard Hugging Face pipelines.
 
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  ## 📚 Training Details
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  - **Stage 1 (Supervised Finetuning):** 1500 samples of building descriptions → IDF mappings.
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+ - **Stage 2 (Reasoning Finetuning):** 2500 reasoning-focused samples to improve logical consistency in geometry-to-IDF translation.
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  - **Base Model:** `unsloth/phi-4`
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  - **Frameworks Used:** [Unsloth](https://github.com/unslothai/unsloth) + Hugging Face TRL
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  - **Training Speed:** ~2× faster compared to standard Hugging Face pipelines.