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{
"rows": [
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"task": "ImageNet ResNet-50",
"metric": "Top-1 SGD",
"ref": "77.01\u00b10.02",
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},
{
"task": "GPT-2 124M pretrain",
"metric": "PIQA Lion",
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},
{
"task": "GPT-2 124M pretrain",
"metric": "LAMBADA Lion",
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"flash": "31.6\u00b10.5",
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"sig_improvement": false
},
{
"task": "GPT-2 124M pretrain",
"metric": "Winograd Lion",
"ref": "58.9\u00b12.0",
"flash": "59.1\u00b12.4",
"delta": 0.2,
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},
{
"task": "GPT-2 124M pretrain",
"metric": "BoolQ Lion",
"ref": "58.1\u00b12.4",
"flash": "59.1\u00b12.3",
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"sig_improvement": false
},
{
"task": "GPT-2 124M pretrain",
"metric": "Mean ICL Lion",
"ref": "44.0\u00b10.5",
"flash": "44.7\u00b10.5",
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}
],
"n_metrics": 21,
"n_significant_degradations_z_sem_gt2": 1,
"n_significant_improvements_z_sem_gt2": 4,
"caveats": "n=3 seeds; z_sem assumes independent seeds and normality; PIQA/HellaSwag-Lion have std=0.0 in one arm (excluded from inf-z by pairing); this audits the paper's own numbers, it is NOT new measurement."
}

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