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metadata
title: EvoTransformer V2.1
emoji: π₯
colorFrom: pink
colorTo: blue
sdk: gradio
sdk_version: 5.36.2
app_file: app.py
pinned: false
license: apache-2.0
'''
EvoTransformer v2.1 π§ β¨
EvoTransformer is an evolving neural architecture built from scratch to tackle reasoning tasks with minimal compute.
π What It Does
This model answers PIQA-style commonsense reasoning questions. Given a goal and two solution choices, EvoTransformer chooses the more logical one.
π§ Architecture
- Built with 4 Transformer encoder layers
- ~13 million parameters
- Custom embedding, pooling, and classifier layers
- Fully open and adaptable for NAS or self-evolving tasks
ποΈββοΈ Training Details
- Dataset: PIQA (1000 training, 500 validation examples)
- Optimizer: Adam
- Loss: CrossEntropy
- Epochs: 5
- Hardware: Colab GPU
π Live Demo
Try it on Hugging Face Spaces: π Demo Link
π‘ Why EvoTransformer?
- Lean, fast, and efficient
- Custom-built from scratch (no pretraining dependencies)
- Can evolve structurally in future versions
π License
MIT '''