Update README.md

README.md

@@ -8,4 +8,33 @@ tags:
 - lora
 datasets:
 - Multimodal-Fatima/FGVC_Aircraft_train
----
+---
+# pixtral_aerial_VQA_adapter
+
+## Model Details
+
+- **Type**: LoRA Adapter
+- **Total Parameters**: 6,225,920
+- **Memory Usage**: 23.75 MB
+- **Precisions**: torch.float32
+- **Layer Types**:
+  - lora_A: 40
+  - lora_B: 40
+
+## Intended Use
+
+- **Primary intended uses**: Processing aerial footage of construction sites for structural and construction surveying.
+- Can also be applied to any detailed VQA use cases with aerial footage.
+
+## Training Data
+
+- **Dataset**:
+  1. FloodNet Track 2 dataset
+  2. Subset of FGVC Aircraft dataset
+  3. Custom dataset of 10 image-caption pairs created using Pixtral
+
+## Training Procedure
+
+- **Training method**: LoRA (Low-Rank Adaptation)
+- **Base model**: Ertugrul/Pixtral-12B-Captioner-Relaxed
+- **Training hardware**: Nebius-hosted NVIDIA H100 machine