Record: Sliding Window Eval (stride=64), val_bpb=1.1925#50
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One nit: Can you double check that the tail can't be silently dropped in the eval? window_starts only keeps windows where ... >= stride, so the last partial segment of validation data is not scored if it is shorter than stride. This can bias the metric downward or upward depending on what was skipped. |
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Good catch — the final partial window was indeed silently dropped. Fixed in #124: changed the filter to |
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Sliding window eval (credit @mattqlf PR openai#50) with configurable stride. Muon weight decay 0.04 (credit @notapplica PR openai#60). Orthogonal init with muP scaling (credit @raahilshah PR openai#162). Gradient clipping at 0.3. int8 roundtrip val_bpb: 1.2653. Sliding window would add ~0.03 on 8xH100. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Sliding window eval (credit @mattqlf PR openai#50) with configurable stride. Muon weight decay 0.04 (credit @notapplica PR openai#60). Orthogonal init with muP scaling (credit @raahilshah PR openai#162). Gradient clipping at 0.3. int8 roundtrip val_bpb: 1.2653. Sliding window would add ~0.03 on 8xH100. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Sliding window eval (credit @mattqlf PR openai#50) with configurable stride. Muon weight decay 0.04 (credit @notapplica PR openai#60). Orthogonal init with muP scaling (credit @raahilshah PR openai#162). Gradient clipping at 0.3. int8 roundtrip val_bpb: 1.2653. Sliding window would add ~0.03 on 8xH100. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
Test plan
final_int8_zlib_roundtrip_exact val_bpb:1.19250007train_gpt.pycompiles and runs within the records folder