Create Metadata.yaml

Metadata.yaml

@@ -0,0 +1,69 @@
+---
+model-index:
+- name: Agentic Unified Mind UANN
+  results:
+    - task:
+        type: text-classification
+      dataset:
+        name: imdb
+        type: huggingface
+        split: train[:10%]
+    - task:
+        type: image-classification
+      dataset:
+        name: cifar10
+        type: huggingface
+        split: train[:10%]
+    - task:
+        type: structured-data
+      dataset:
+        name: titanic
+        type: huggingface
+        split: train
+model_description: |
+  The Agentic Unified Mind UANN integrates text, image, and structured data processing using advanced neural network architectures and reinforcement learning. This multi-modal AI model combines BERT for text, ResNet50 for images, and dense neural networks for structured data.
+model_type: multi-modal
+languages:
+  - en
+library_name: tensorflow
+tags:
+  - multi-modal
+  - reinforcement-learning
+  - text-classification
+  - image-classification
+  - structured-data
+license: apache-2.0
+datasets:
+  - imdb
+  - cifar10
+  - titanic
+metrics:
+  - accuracy
+  - loss
+---
+
+# Agentic Unified Mind UANN
+
+## Model Description
+
+The Agentic Unified Mind UANN integrates:
+- Text processing using BERT.
+- Image processing using ResNet50.
+- Structured data processing with dense neural networks.
+- Reinforcement learning for autonomous decision-making.
+
+## Features
+
+- **Multi-modal Inputs:** Handles text, images, and structured data.
+- **Advanced Neural Network Architectures:** Uses BERT for text, ResNet50 for images, and dense layers for structured data.
+- **Unified Cognitive Framework:** Combines information from multiple modalities for better decision-making.
+- **Reinforcement Learning:** Enhances the model's ability to learn and adapt from interactions.
+
+## Setup
+
+### Installation
+
+Install the required dependencies:
+
+```bash
+pip install -r requirements.txt