外观
llm/reports/bpe-seed7.json
配套源码,运行方法见同目录 README。返回实验总览。
json
{
"python": "3.14.8",
"numpy": "2.5.3",
"device": "CPU / NumPy float64",
"seed": 7,
"corpus_sha256": "c3193093ef62dc384262de482979f337d754285dd285b62ad4e65f31134594a6",
"train_documents": 32,
"validation_documents": 8,
"train_tokens": 865,
"validation_tokens": 211,
"parameters": 28768,
"elapsed_seconds": 0.7334257919574156,
"history": [
{
"step": 0,
"train_nll": 6.131087429891205,
"val_nll": 6.223953702905284
},
{
"step": 50,
"train_nll": 2.0898594764820313,
"val_nll": 2.424648387373076,
"batch_nll": 2.047781911780748,
"gradient_norm_before_clip": 1.2842003538141,
"lr": 0.0029242424959162964
},
{
"step": 100,
"train_nll": 1.2945608667731354,
"val_nll": 1.85287803536228,
"batch_nll": 1.2593900236533535,
"gradient_norm_before_clip": 1.5364353890675417,
"lr": 0.0024917112325092907
},
{
"step": 150,
"train_nll": 0.9216163815778312,
"val_nll": 1.7402973861130937,
"batch_nll": 0.9854149241974168,
"gradient_norm_before_clip": 1.7719929088655788,
"lr": 0.0018011520427394657
},
{
"step": 200,
"train_nll": 0.7612006836166492,
"val_nll": 1.692974093137768,
"batch_nll": 0.8266123818324623,
"gradient_norm_before_clip": 1.926672002854254,
"lr": 0.0010642569521912967
},
{
"step": 250,
"train_nll": 0.6626616141193095,
"val_nll": 1.7193963963962131,
"batch_nll": 0.7204970684717482,
"gradient_norm_before_clip": 1.879509929380825,
"lr": 0.0005069223310418165
},
{
"step": 300,
"train_nll": 0.6171035940780765,
"val_nll": 1.7334909039564177,
"batch_nll": 0.6600741663364298,
"gradient_norm_before_clip": 2.1015943928476024,
"lr": 0.00030000000000000003
}
],
"sample": "the fox ssks the book.\nthe owl walows the galfindowos a e s \nthe owl and writes s the garites beside the te.\nthe wes reees andowden.\nthe owl wa s a the ries readis the redge.\nthe owl aites ns",
"note": "Original tiny synthetic corpus; not a quality benchmark. Checkpoint is for inference, not exact optimizer resume."
}