Buckets:

Pranav2748's picture
download
raw
681 Bytes
"""Decide MQ-large's training mode from MQ vs MQ-soft results (rule fixed before seeing MQ-soft)."""
import json, sys
sys.path.insert(0, "/workspace/think-decide/src")
from analyze_mq import boot
def gain(path, modes):
rows = [json.loads(l) for l in open(path + "/predictions.jsonl")]
return max(boot(rows, m, "parallel", R=2000)[0] for m in modes if m in rows[0]["pred"])
g_hard = gain("runs/mq/test", ["sequential"])
g_soft = gain("runs/mqsoft/test", ["sequential", "soft2", "soft3", "soft4"])
print("--soft" if g_soft >= g_hard else "")
print("MQ seq gain %.2f, MQ-soft best gain %.2f -> %s" % (g_hard, g_soft, "soft" if g_soft >= g_hard else "plain"), file=sys.stderr)

Xet Storage Details

Size:
681 Bytes
·
Xet hash:
ea65f4355f7403225664fa6e01a8d1fc56f85d4d9b3b033e947b9f75eede105b

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.