Update README.md

README.md

@@ -3,4 +3,38 @@ license: mit
 datasets:
 - mstafam/Kilter-Board-Dataset
 pipeline_tag: text2text-generation
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+---
+
+# GenClimb: AI-Generated Climbing Routes for Interactive Training Boards
+
+GenClimb is a generative AI model designed to create climbing routes for Standardized Interactive Climbing Training Boards (SICTBs). It a seq2seq transformer architecture, GenClimb generates climbs based on board layouts and climb difficulties.
+
+## Model Details
+
+### Architecture
+
+- **Dimension**: 512
+- **Attention Heads**: 4
+- **Layers**: 5
+- **Feed-Forward Dimension**: 1024
+- **Dropout Rate**: 0.15
+- **Activation Function**: GELU
+- **Layer Normalization Epsilon**: 1e-5
+
+### Training Configuration
+
+- **Device**: CUDA (1x NVIDIA GeForce RTX 3070)
+- **Learning Rate**: 1e-4
+- **Epochs**: 8
+- **Weight Decay**: 0.0125
+- **Batch Size**: 32
+- **Train/Test Split**: 90/10
+
+### Performance Metrics
+
+- **Training Time**: 12 hours and 6 minutes
+- **Final Loss**: 2.114803
+
+## Dataset
+
+The model is trained on the [Kilter-Board-Dataset](https://huggingface.co/datasets/mstafam/Kilter-Board-Dataset), a comprehensive collection of climbing routes curated with the help of the [BoardLib utility](https://github.com/lemeryfertitta/BoardLib) by lemeryfertitta.