flight-jepa / metrics.json
guychuk's picture
Upload folder using huggingface_hub
19e3f9d verified
[
{
"epoch": 10,
"classification": {
"accuracy": 0.9090121317157712,
"nmi": 0.8912927084163139,
"n_classes": 29
},
"noise": {
"0.0": 0.0,
"0.01": 0.9999969601631165,
"0.05": 0.9999083280563354,
"0.1": 0.9994423389434814
},
"retrieval": {
"precision_at_k": 0.8392000000000001,
"k": 5
}
},
{
"epoch": 20,
"classification": {
"accuracy": 0.9111166130230255,
"nmi": 0.8934039889817704,
"n_classes": 29
},
"noise": {
"0.0": 0.0,
"0.01": 0.9999957084655762,
"0.05": 0.9998806118965149,
"0.1": 0.9993559122085571
},
"retrieval": {
"precision_at_k": 0.842,
"k": 5
}
},
{
"epoch": 30,
"classification": {
"accuracy": 0.9123545432037633,
"nmi": 0.8951105214656494,
"n_classes": 29
},
"noise": {
"0.0": 0.0,
"0.01": 0.9999952912330627,
"0.05": 0.9998706579208374,
"0.1": 0.999331533908844
},
"retrieval": {
"precision_at_k": 0.8422000000000001,
"k": 5
}
},
{
"epoch": 40,
"classification": {
"accuracy": 0.9122307501856896,
"nmi": 0.8956443382372502,
"n_classes": 29
},
"noise": {
"0.0": 0.0,
"0.01": 0.9999954104423523,
"0.05": 0.9998754262924194,
"0.1": 0.9993614554405212
},
"retrieval": {
"precision_at_k": 0.8438,
"k": 5
}
},
{
"epoch": 50,
"classification": {
"accuracy": 0.9116117850953206,
"nmi": 0.8964701883045626,
"n_classes": 29
},
"noise": {
"0.0": 0.0,
"0.01": 0.9999956488609314,
"0.05": 0.9998785853385925,
"0.1": 0.9993824362754822
},
"retrieval": {
"precision_at_k": 0.8446,
"k": 5
}
},
{
"epoch": 60,
"classification": {
"accuracy": 0.9109928200049517,
"nmi": 0.8948422477946344,
"n_classes": 29
},
"noise": {
"0.0": 0.0,
"0.01": 0.999995231628418,
"0.05": 0.9998695254325867,
"0.1": 0.9993281364440918
},
"retrieval": {
"precision_at_k": 0.8462000000000001,
"k": 5
}
},
{
"epoch": 70,
"classification": {
"accuracy": 0.9107452339688041,
"nmi": 0.8950487740879999,
"n_classes": 29
},
"noise": {
"0.0": 0.0,
"0.01": 0.9999954104423523,
"0.05": 0.9998746514320374,
"0.1": 0.999350368976593
},
"retrieval": {
"precision_at_k": 0.8452000000000001,
"k": 5
}
},
{
"epoch": 80,
"classification": {
"accuracy": 0.9123545432037633,
"nmi": 0.8954279855821708,
"n_classes": 29
},
"noise": {
"0.0": 0.0,
"0.01": 0.9999954104423523,
"0.05": 0.9998750686645508,
"0.1": 0.99935382604599
},
"retrieval": {
"precision_at_k": 0.8452000000000001,
"k": 5
}
},
{
"epoch": 90,
"classification": {
"accuracy": 0.912478336221837,
"nmi": 0.8958139386459043,
"n_classes": 29
},
"noise": {
"0.0": 0.0,
"0.01": 0.9999955296516418,
"0.05": 0.9998756051063538,
"0.1": 0.9993565678596497
},
"retrieval": {
"precision_at_k": 0.846,
"k": 5
}
},
{
"epoch": 100,
"classification": {
"accuracy": 0.9128497152760584,
"nmi": 0.8962917040810922,
"n_classes": 29
},
"noise": {
"0.0": 0.0,
"0.01": 0.9999955296516418,
"0.05": 0.9998754262924194,
"0.1": 0.9993534088134766
},
"retrieval": {
"precision_at_k": 0.846,
"k": 5
}
}
]