adpretko / celerity-271m-8k-bs-ablation-ad0p2-bs128

huggingface.co
Total runs: 22
24-hour runs: 0
7-day runs: 4
30-day runs: 4
Model's Last Updated: October 04 2026

Introduction of celerity-271m-8k-bs-ablation-ad0p2-bs128

Model Details of celerity-271m-8k-bs-ablation-ad0p2-bs128

Celerity 271M 8K — batch-size ablation — ad0.2_bs128

Official Celerity 271M / 8K batch-size-ablation checkpoint converted from Cerebras CS format to Hugging Face format.

Training provenance
  • Original experiment: ad0.2_bs128
  • Source checkpoint: checkpoint_5165.mdl
  • Attention dropout rate: 0.2
  • Attention-dropout schedule: constant
  • Peak learning rate: 0.15
  • Global train batch size: 128
  • Weight decay: 0.007396784802565945
  • tau_ema: 0.1745
  • Training steps: 5165
  • Maximum sequence length: 8192
  • Position embedding type: ALiBi
  • Residual dropout rate: 0.0
  • Stochastic depth: 0.0
  • LayerDrop: 0.0
  • Source runtime experiments: cbcore 2.6.0
  • Converter commit: 0e3d5d375695293479df9d2a3717f05f71a345b4

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-bs128 on huggingface.co

22
Total runs
0
24-hour runs
1
3-day runs
4
7-day runs
4
30-day runs

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