Skip to content

feat: byt5-large dedicated arm (WO27) #124

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
ronaldtse merged 1 commit into from
Oct 8, 2026
Merged

feat: byt5-large dedicated arm (WO27) #124

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
38 changes: 36 additions & 2 deletions train_arabic_r8_hf.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -40,6 +40,8 @@
TEACHER = Path("/ckpt/r7-best")
import os
MIX = os.environ.get("R8_MIX", "arwiki") # arwiki | qcri | both
BACKBONE = os.environ.get("R8_BACKBONE", "google/byt5-base")
CORPUS = os.environ.get("R8_CORPUS", "tashkeela") # tashkeela | r5
RUN = os.environ.get("R8_RUN", f"run-024-arabic-r8-{MIX}")
CKPT = Path(f"/ckpt/{RUN}")
WINDOW = 600
Expand Down Expand Up @@ -101,6 +103,33 @@ def main() -> None:
rng = random.Random(42)

gold: list[tuple[str, str]] = []
if CORPUS == "r5":
# the r7 lineage corpus (r5 units + news), no silver
for name in ("domain.txt", "replay.txt"):
p = DATA / name
if not p.exists():
continue
for line in p.read_text(encoding="utf-8").splitlines():
tgt = line.strip()
if not tgt:
continue
src = DIACRITICS_RE.sub("", tgt).strip()
if len(src) < 5 or len(src.encode()) > WINDOW - 50:
continue
gold.append((src, tgt))
if len(gold) >= GOLD_CAP * 2:
break
if len(gold) >= GOLD_CAP * 2:
break
for line in (DATA / "news.txt").read_text(encoding="utf-8").splitlines()[:120_000]:
tgt = line.strip()
if not tgt:
continue
src = DIACRITICS_RE.sub("", tgt).strip()
if len(src) < 5 or len(src.encode()) > WINDOW - 50:
continue
gold.append((src, tgt))
print(f"[data] r5-corpus gold={len(gold)}", flush=True)
gold_files = ("tashkeela-full/train-001.txt", "tashkeela-full/train-002.txt",
"tashkeela-full/train-003.txt", "tashkeela-full/val-001.txt")
if os.environ.get("R8_GOLD", "tashkeela") == "none":
Expand Down Expand Up @@ -173,7 +202,7 @@ def add_silver(tgt: str) -> None:
rng.shuffle(units)
rng.shuffle(gold)

tok = AutoTokenizer.from_pretrained(TEACHER)
tok = AutoTokenizer.from_pretrained(BACKBONE if os.environ.get("R8_SCRATCH") == "1" else TEACHER)

class DS(Dataset):
def __len__(self):
Expand Down Expand Up @@ -203,7 +232,12 @@ def collate(b):
total_steps = (len(loader) // GRAD_ACCUM) * EPOCHS
print(f"[data] units={len(units)} steps={total_steps}", flush=True)

model = AutoModelForSeq2SeqLM.from_pretrained(TEACHER, torch_dtype=torch.float32)
if os.environ.get("R8_SCRATCH") == "1":
init_from = BACKBONE
else:
init_from = TEACHER
print(f"[init] from {init_from}", flush=True)
model = AutoModelForSeq2SeqLM.from_pretrained(init_from, torch_dtype=torch.float32)
model = model.cuda().train()
model.gradient_checkpointing_enable()
model.config.use_cache = False
Expand Down
Loading