metrics.json

{
    "train_losses": [
        0.9268945504426956,
        0.5341861653923988,
        0.3162863712310791,
        0.16396272273361684,
        0.0716628760015592
    ],
    "val_losses": [
        0.8589502062116351,
        0.9192924433284335,
        1.1252947180044084,
        1.405568245147902,
        1.6928597435591712
    ],
    "train_accuracies": [
        0.06148055207026349,
        0.23111668757841908,
        0.4396486825595985,
        0.7003764115432873,
        0.8878293601003764
    ],
    "val_accuracies": [
        0.1213640922768305,
        0.2316950852557673,
        0.275827482447342,
        0.4463390170511535,
        0.522567703109328
    ],
    "train_precisions": [
        0.24603055624933978,
        0.42771153978993026,
        0.6247018716043881,
        0.7994302627698562,
        0.9116289925916204
    ],
    "val_precisions": [
        0.41392534883760146,
        0.4413277828995439,
        0.5652940565157017,
        0.6225385960041234,
        0.6787767312346394
    ],
    "train_recalls": [
        0.7627328755210177,
        0.892607483201777,
        0.9533531869261823,
        0.9876540545292958,
        0.9970711793203793
    ],
    "val_recalls": [
        0.8083378985431238,
        0.7757833517770037,
        0.7283269305769317,
        0.6626791476810001,
        0.6268147948371748
    ],
    "train_f1s": [
        0.3576105587485591,
        0.5718781060441221,
        0.7525189030298463,
        0.882271223748622,
        0.9522561318105291
    ],
    "val_f1s": [
        0.5325432172069824,
        0.542250970307835,
        0.6228603936519028,
        0.6328187228920361,
        0.6437777775157739
    ]
}