This tau-EMA ablation holds learning rate at 0.15 and global train batch
size at 48 while varying tau_ema relative to the 0.1745 baseline. Weight decay
is adjusted accordingly.
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-tema-ablation-ad0p8-tema4 on huggingface.co
25
Total runs
2
24-hour runs
3
3-day runs
5
7-day runs
6
30-day runs
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