syssec-utd/pylingual-shared-segmentation-v3

Universal (all-version) PyLingual segmentation 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/segmentation at revision 11616fd4db16c5c567c189210702da68b0deb7cb (150000 source files, 4660343 encoded rows, tokenizer.json sha256 61c4f9cd711448c6f71db41e93b6cbbe9fc3d0c994f3d427b0faecfd02e954df)
• Initialization: /home/henryh/pylingual-runs-v3/universal/mlm/checkpoint
• 2 epochs, global batch 28 (28 x 1 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 368e29b9c9b02de8a3b383413683e938efe602dc

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