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BETC: Bi-directional encoders for text classification

"Betsy"

Usage

# First time setup
make init

# Start services and run training
make train

# Monitor training
make services-logs

# Clean up after training
make services-stop

Command Interface

# Show all available commands
make help

# Development commands
make init          # Initialize environment
make format        # Format code
make lint          # Run linting
make type-check    # Run type checking
make test          # Run tests
make coverage      # Generate coverage report

# Service management
make services-start    # Start MLflow and TensorBoard
make services-stop     # Stop services
make services-restart  # Restart services
make services-status   # Check service status
make services-logs     # View service logs

# Cleaning
make clean         # Clean Python cache
make docker-clean  # Clean Docker resources
make all-clean     # Clean everything

Run Experimentation

rye run experiments

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Bidirectional Encoder for Text Classification

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