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| **Normalization** | `RMSNorm` | Root Mean Square Normalization |
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| **Activation** | `SwiGLU` | Advanced FeedForward Network |
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## 🚀 Quick Start (Google Colab / Local)
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Since this model uses a custom architecture, it requires downloading the provided python scripts (`config.py`, `model.py`) to run. You can easily test it in Google Colab in under a minute.
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| **Normalization** | `RMSNorm` | Root Mean Square Normalization |
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| **Activation** | `SwiGLU` | Advanced FeedForward Network |
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## Achieved an impressive 82.11% accuracy and 82.10%F1-score on the GLUE SST-2 validation benchmark,demonstrating highly balanced precision and recall across classes.
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## 🚀 Quick Start (Google Colab / Local)
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Since this model uses a custom architecture, it requires downloading the provided python scripts (`config.py`, `model.py`) to run. You can easily test it in Google Colab in under a minute.
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