artifex / data /model_card.json
SuckSome's picture
Claude Opus 5.5
Deploy model artifex-0.1-e94d93bf34 (artist grouping by painter roles) with browser validation
db295a6 verified
Raw History Blame Contribute Delete
8.7 kB
{
"model_version": "artifex-0.1-e94d93bf34",
"dataset_version": "0.1+5cc3c8d20c19",
"variant": "dinov2b_letterbox_rgb",
"encoder": {
"type": "dinov2",
"checkpoint": "facebook/dinov2-base",
"revision": "f9e44c814b77203eaa57a6bdbbd535f21ede1415",
"commit": "f9e44c814b77203eaa57a6bdbbd535f21ede1415",
"embedding": "cls+meanpatch",
"transform": {
"image_size": 224,
"geometry": "letterbox",
"color": "rgb",
"mean": [
0.485,
0.456,
0.406
],
"std": [
0.229,
0.224,
0.225
]
},
"dim": 1536
},
"encoder_fingerprint": "2e6ffe93ab",
"trained_at": "2026-10-22T05:44:36.737583+00:00",
"split": "split_main",
"n_train": 6204,
"n_val": 1330,
"heads": {
"region": {
"classes": [
"east_asia",
"europe",
"himalaya",
"nile_north_africa",
"north_america",
"south_asia",
"west_central_asia"
],
"train_counts": {
"east_asia": 2289,
"europe": 2259,
"himalaya": 115,
"nile_north_africa": 58,
"north_america": 139,
"south_asia": 934,
"west_central_asia": 333
},
"C": 0.01,
"temperature": 1.0839178810274877,
"abstention": {
"threshold": 0.0,
"target_met": true,
"val_coverage": 1.0,
"val_selective_accuracy": 0.9221374045801527,
"target": 0.8
},
"val_macro_f1": 0.8171653979319718,
"c_search": [
{
"C": 0.01,
"val_macro_f1": 0.8171653979319718
},
{
"C": 0.03,
"val_macro_f1": 0.8093916997439496
},
{
"C": 0.1,
"val_macro_f1": 0.793171091537686
},
{
"C": 0.3,
"val_macro_f1": 0.786455655121622
},
{
"C": 1.0,
"val_macro_f1": 0.7779453827215743
},
{
"C": 3.0,
"val_macro_f1": 0.7696180177094577
}
],
"parent": null
},
"period": {
"classes": [
"pre-500",
"500-1299",
"1300-1449",
"1450-1549",
"1550-1649",
"1650-1749",
"1750-1849",
"1850-1899",
"1900-"
],
"train_counts": {
"pre-500": 66,
"500-1299": 338,
"1300-1449": 403,
"1450-1549": 570,
"1550-1649": 797,
"1650-1749": 759,
"1750-1849": 1165,
"1850-1899": 831,
"1900-": 125
},
"C": 0.01,
"temperature": 1.3524108220260942,
"abstention": {
"threshold": 0.6489472847510742,
"target_met": false,
"val_coverage": 0.20019342359767892,
"val_selective_accuracy": 0.7922705314009661,
"target": 0.8
},
"val_macro_f1": 0.4746514643743089,
"c_search": [
{
"C": 0.01,
"val_macro_f1": 0.4746514643743089
},
{
"C": 0.03,
"val_macro_f1": 0.46721567113477946
},
{
"C": 0.1,
"val_macro_f1": 0.4439598923526886
},
{
"C": 0.3,
"val_macro_f1": 0.43931136713691754
},
{
"C": 1.0,
"val_macro_f1": 0.4212385828408343
},
{
"C": 3.0,
"val_macro_f1": 0.41672708576077766
}
],
"parent": null
},
"subregion:east_asia": {
"classes": [
"china",
"japan",
"korea"
],
"train_counts": {
"china": 1095,
"japan": 1088,
"korea": 100
},
"C": 0.01,
"temperature": 1.2484731611114455,
"abstention": {
"threshold": 0.4364007943880711,
"target_met": true,
"val_coverage": 0.9836734693877551,
"val_selective_accuracy": 0.8008298755186722,
"target": 0.8
},
"val_macro_f1": 0.5937648174490279,
"c_search": [
{
"C": 0.01,
"val_macro_f1": 0.5937648174490279
},
{
"C": 0.03,
"val_macro_f1": 0.5839104935222688
},
{
"C": 0.1,
"val_macro_f1": 0.5890198528933152
},
{
"C": 0.3,
"val_macro_f1": 0.5714328825036629
},
{
"C": 1.0,
"val_macro_f1": 0.5745023428269699
},
{
"C": 3.0,
"val_macro_f1": 0.5776112776112776
}
],
"parent": "east_asia"
},
"subregion:europe": {
"classes": [
"british_isles",
"france",
"german_central_europe",
"iberia",
"italian_peninsula",
"low_countries",
"nordic"
],
"train_counts": {
"british_isles": 193,
"france": 759,
"german_central_europe": 161,
"iberia": 75,
"italian_peninsula": 622,
"low_countries": 371,
"nordic": 23
},
"C": 0.03,
"temperature": 2.1715453931469217,
"abstention": {
"threshold": 0.6004065422675273,
"target_met": false,
"val_coverage": 0.2017167381974249,
"val_selective_accuracy": 0.7872340425531915,
"target": 0.8
},
"val_macro_f1": 0.3773429987411166,
"c_search": [
{
"C": 0.01,
"val_macro_f1": 0.36381251384329655
},
{
"C": 0.03,
"val_macro_f1": 0.3773429987411166
},
{
"C": 0.1,
"val_macro_f1": 0.36345409563835757
},
{
"C": 0.3,
"val_macro_f1": 0.3523594711737899
},
{
"C": 1.0,
"val_macro_f1": 0.34723011823259226
},
{
"C": 3.0,
"val_macro_f1": 0.34409233653895005
}
],
"parent": "europe"
},
"subregion:south_asia": {
"classes": [
"deccan",
"eastern_india",
"mughal_north_india",
"pahari",
"rajasthan"
],
"train_counts": {
"deccan": 41,
"eastern_india": 102,
"mughal_north_india": 192,
"pahari": 120,
"rajasthan": 197
},
"C": 0.01,
"temperature": 0.8076301905145401,
"abstention": {
"threshold": 0.49848155145772755,
"target_met": true,
"val_coverage": 0.9155844155844156,
"val_selective_accuracy": 0.8014184397163121,
"target": 0.8
},
"val_macro_f1": 0.6696260425073983,
"c_search": [
{
"C": 0.01,
"val_macro_f1": 0.6696260425073983
},
{
"C": 0.03,
"val_macro_f1": 0.6287019229948241
},
{
"C": 0.1,
"val_macro_f1": 0.6330393457117596
},
{
"C": 0.3,
"val_macro_f1": 0.6141004364128098
},
{
"C": 1.0,
"val_macro_f1": 0.6153354989908849
},
{
"C": 3.0,
"val_macro_f1": 0.6153354989908849
}
],
"parent": "south_asia"
},
"subregion:west_central_asia": {
"classes": [
"central_asia",
"iran"
],
"train_counts": {
"central_asia": 30,
"iran": 234
},
"C": 1.0,
"temperature": 8.332804058656945,
"abstention": {
"threshold": 0.6554829562567457,
"target_met": true,
"val_coverage": 0.3103448275862069,
"val_selective_accuracy": 0.8333333333333334,
"target": 0.8
},
"val_macro_f1": 0.4476190476190476,
"c_search": [
{
"C": 0.01,
"val_macro_f1": 0.4245638043106398
},
{
"C": 0.03,
"val_macro_f1": 0.4245638043106398
},
{
"C": 0.1,
"val_macro_f1": 0.4361111111111111
},
{
"C": 0.3,
"val_macro_f1": 0.4361111111111111
},
{
"C": 1.0,
"val_macro_f1": 0.4476190476190476
},
{
"C": 3.0,
"val_macro_f1": 0.4476190476190476
}
],
"parent": "west_central_asia"
}
},
"ood": {
"threshold": 0.5202173590660095,
"quantile": 0.01
}
}