Add jetformer logic to main AstroPT branch#55
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…ain (#53) * Use tokeniser in train.py * Add NormalizingFlow example on CIFAR10 * Save mike galaxy photos as tensor, Add galaxy 32x32 dataset to jetformer * Add valid loss to jetformer train, Generate sample that can be compared * Larger GPT model and results * Jet run with 256x256 image * Remove unrelated comments * remove imagery and text of legacy runs --------- Co-authored-by: Mike Smith <mike@mjjsmith.com>
Integrate jetformer into astropt
…ng scripts with batch size adjustments and epoch support, add job submission files
train_jetformer_sogol.py is the version used to produce the sogol_checkpoint_step_0079999 paper checkpoint (768-dim, 12-layer, 80k iters, HuggingFace streaming, paper-style noise curriculum). .gitignore additions exclude local caches, large data dumps, training logs, and paper-artifact files from future commits.
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We will need to add the Jetformer logic to the main AstroPT branch next. Lots of merging 🥲