syssec-utd/pylingual-shared-statement-v3

Universal (all-version) PyLingual statement backbone for the shared-backbone + per-version LoRA study, trained on Python 3.6-3.15. last-checkpoint/ holds the latest resumable Trainer checkpoint while training runs; the repo root holds the final model.

• Data: syssec-utd/pylingual-shared-encoded-v3 universal/statement at revision 11616fd4db16c5c567c189210702da68b0deb7cb (150000 source files, 13904922 encoded rows, tokenizer.json sha256 576881c7af5310402326eff7bf5584ad6e2f88dcfd4c998d4e8b6a26f243153f)
• Initialization: /home/henryh/pylingual-runs-v3/hub/Salesforce--codet5-base
• 2 epochs, global batch 72 (24 x 3 accumulation x 1 GPU), learning rate 2e-05, weight decay 0.01, FP16, seed 20261020
• Code: https://github.com/quinntyx/pylingual branch feat-shared-backbone-lora, commit dda4bd2dca0c7acf445cd611d5fa5e655c3ce572

run/provenance.json records every training argument and the full data manifest.