This is an experimental Cnn Transformer codebase for Matching. It keeps the nano setup intentionally manageable so architecture changes can be inspected before a full training run. - The Python file contains the model and runnable example or training entry point. - config.json records the generated architecture settings. - trainingargs.json records the default experiment recipe. - model.safetensors is a valid initialization checkpoint for smoke tests; it is not presented as a trained benchmark checkpoint. - No benchmark score is claimed in this repository. The included configuration uses sgd with a step schedule. These are starting values in the script, not evidence of a completed run. For…
Independent publisher
Rudi
runugroho0628
Models in Library1
Datasets in Library0
Models on Hugging Face2
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