|
Download README.md from syssec-utd/pylingual-shared-statement-v1: direct link, hf CLI and curl.
- Browser
- Download file 1.09 kB
-
https://huggingface.co/syssec-utd/pylingual-shared-statement-v1/resolve/main/README.md
- Command line
-
hf download hf://syssec-utd/pylingual-shared-statement-v1/README.md
-
curl -L -o README.md https://huggingface.co/syssec-utd/pylingual-shared-statement-v1/resolve/main/README.md
1.09 kB
metadata
license: other
syssec-utd/pylingual-shared-statement-v1
Universal (all-version) PyLingual statement backbone for the shared-backbone + per-version LoRA
study, trained on Python 3.6-3.14 with 3.15 held out. last-checkpoint/ holds the latest
resumable Trainer checkpoint while training runs; the repo root holds the final model.
- Data:
syssec-utd/pylingual-shared-encoded-v1universal/statementat revision0f70ef5ada329b652a6cd67502244db733f98109(50000 source files, 4663180 encoded rows, tokenizer.json sha256576881c7af5310402326eff7bf5584ad6e2f88dcfd4c998d4e8b6a26f243153f) - Initialization:
/home/henryh/pylingual-runs/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, commitcb0c7b9fa5810ed5c1c09c1fe7a17c0a1eaf5606
run/provenance.json records every training argument and the full data manifest.