This batch-size ablation holds learning rate at 0.15 and tau_ema at 0.1745
while varying global train batch size. Training steps vary with batch size,
and weight decay is adjusted so tau_ema remains fixed.
Attention dropout, tau_ema, and weight decay are training-time hyperparameters.
Their effects are represented in the learned checkpoint weights. Hugging Face
evaluation is performed with dropout disabled by
model.eval()
.
The model uses custom Celerity Hugging Face modeling code and should be loaded
with
trust_remote_code=True
.
Runs of adpretko celerity-271m-8k-bs-ablation-ad0p2-bs16 on huggingface.co
23
Total runs
0
24-hour runs
1
3-day runs
5
7-day runs
5
30-day runs
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