RECIPE WD τ0.5 s2

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recipe_wd_t05_s2_d125m

on plus_all v2 subset (4 passes) (28.3M words), trained on L4 24GB (AWS, spot). .

Hypothesis

Seed 2 of the winning weight-decay arm.

What we learned

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Scores

No scores published yet.

Curves

Training loss

Cross-entropy per token, by step. The first few percent of the run, far higher, run off the top; hover or the table has every value.

Held-out bits per byte

The validation split, evaluated during training, by step. Lower is better.

Throughput

Tokens per second, by step.

Model

Preset
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Parameters
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Outside embeddings
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Layers · heads · width
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Tokenizer
SLP1 unigram 8k

Muon + AdamW, rope, qk_norm, relu^2, untied head, weight decay

Data

Slice
plus_all v2 subset (4 passes)
Words
28,300,000
Training tokens
91,236,966
Passes
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Tokens seen
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Compute

GPU
L4 24GB
Where
AWS (spot)
Steps
0 / 7,425
GPU hours
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Cost
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Spot restarts
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Lineage

awsl4spot