add --lr flag (wide-adapter LR rescale diagnostics at 12B)
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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@@ -30,7 +30,6 @@ OUT = Path(os.environ.get("LOOP_OUT",
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Path(__file__).resolve().parent.parent / "results-loop"))
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STEPS = 600
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BATCH = 4
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LR = 1e-3
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WARMUP = 20
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MAX_TOK = 512
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K_BUCKETS = [(1, ("easy",)), (2, ("easy", "hard")), (4, ("hard",))]
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@@ -51,13 +50,16 @@ ap.add_argument("--deepk", type=int, default=0,
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help="scale curriculum depths by deepk/4 (e.g. 16 -> 2/8/16)")
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ap.add_argument("--bptt", type=int, default=0,
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help="truncated BPTT: grads only through last N iterations")
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ap.add_argument("--lr", type=float, default=1e-3)
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ARGS = ap.parse_args()
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SEED = ARGS.seed
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LR = ARGS.lr
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SUFFIX = ((f"_s{SEED}" if SEED else "")
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+ (f"_p{ARGS.pause}" if ARGS.pause else "")
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+ (f"_a{ARGS.alpha}" if ARGS.alpha != 0.3 else "")
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+ ("_ad" if ARGS.adaptive else "")
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+ (f"_dk{ARGS.deepk}" if ARGS.deepk else ""))
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+ (f"_dk{ARGS.deepk}" if ARGS.deepk else "")
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+ (f"_lr{ARGS.lr}" if ARGS.lr != 1e-3 else ""))
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PAUSE_ID = 6 # <unused0>
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