MahmoudNasser's picture
Push Keras model using huggingface_hub.
8790ff1
raw
history blame
4.43 kB
{
"accuracy": [
0.35499265789985657,
0.5086269974708557,
0.5638766288757324,
0.5967327356338501,
0.6207782626152039,
0.6433553695678711,
0.6490455269813538,
0.6655653715133667,
0.6734581589698792,
0.6776798963546753,
0.6877753138542175,
0.7000734210014343,
0.6954845786094666,
0.7052129507064819,
0.7176945805549622,
0.7217327356338501,
0.7197136282920837,
0.7261380553245544,
0.7299926280975342,
0.7410058975219727,
0.7336637377738953,
0.7415565252304077,
0.7468795776367188,
0.7450440526008606,
0.7479808926582336,
0.7626652121543884,
0.7595447897911072,
0.7615638971328735,
0.765418529510498,
0.7733113169670105
],
"loss": [
1.721060872077942,
1.382319688796997,
1.2361695766448975,
1.1394562721252441,
1.0751397609710693,
1.0163003206253052,
0.9893167018890381,
0.947815477848053,
0.9209911227226257,
0.8976588249206543,
0.8807528018951416,
0.8590806722640991,
0.8380716443061829,
0.8223205804824829,
0.8031989336013794,
0.7853856086730957,
0.7858525514602661,
0.763117253780365,
0.7554894685745239,
0.7468547821044922,
0.7380922436714172,
0.7227297425270081,
0.7145761251449585,
0.7107431292533875,
0.6984418034553528,
0.6853607892990112,
0.6716216802597046,
0.6765758991241455,
0.6546074151992798,
0.6426857709884644
],
"precision": [
0.8024691343307495,
0.812550961971283,
0.8111814260482788,
0.817258894443512,
0.8099700212478638,
0.8173531293869019,
0.8078755140304565,
0.813605010509491,
0.8102315068244934,
0.8080110549926758,
0.8155893683433533,
0.821144700050354,
0.8177314400672913,
0.817925751209259,
0.8211787939071655,
0.8272704482078552,
0.8187177777290344,
0.8252895474433899,
0.8247842788696289,
0.825352132320404,
0.8232950568199158,
0.8271749019622803,
0.8301140069961548,
0.8380952477455139,
0.8272371888160706,
0.8416953086853027,
0.8414912819862366,
0.8405240774154663,
0.8424133062362671,
0.8456195592880249
],
"val_accuracy": [
0.5055025815963745,
0.5671313405036926,
0.5994130373001099,
0.6214233040809631,
0.6412325501441956,
0.6588407754898071,
0.6764490008354187,
0.6793836951255798,
0.6889215111732483,
0.6991929411888123,
0.703594982624054,
0.7006602883338928,
0.7109317779541016,
0.709464430809021,
0.7101981043815613,
0.7175348401069641,
0.7101981043815613,
0.7116654515266418,
0.7212032079696655,
0.7219368815422058,
0.7248716354370117,
0.7263389825820923,
0.7204695343971252,
0.7234042286872864,
0.7248716354370117,
0.7190021872520447,
0.7278063297271729,
0.725605309009552,
0.7300073504447937,
0.7336757183074951
],
"val_loss": [
1.3589540719985962,
1.1911112070083618,
1.0894721746444702,
1.0203416347503662,
0.9684960842132568,
0.9368357062339783,
0.9065360426902771,
0.8899722099304199,
0.8703333139419556,
0.8609356880187988,
0.8459606170654297,
0.8392581939697266,
0.8323639631271362,
0.8289279341697693,
0.8243877291679382,
0.8137713074684143,
0.8261427879333496,
0.8156659603118896,
0.8094260096549988,
0.814453661441803,
0.8053179979324341,
0.8022676110267639,
0.8075844049453735,
0.8141857981681824,
0.8162592649459839,
0.8192764520645142,
0.8103418946266174,
0.817886471748352,
0.8148984909057617,
0.8087495565414429
],
"val_precision": [
0.7807486653327942,
0.7688603401184082,
0.7681159377098083,
0.761904776096344,
0.768648624420166,
0.7710232734680176,
0.7729941010475159,
0.7716460227966309,
0.7747148275375366,
0.7720111012458801,
0.7731863856315613,
0.7850553393363953,
0.7783783674240112,
0.7752212285995483,
0.7764192223548889,
0.7800175547599792,
0.764054536819458,
0.7720651030540466,
0.774193525314331,
0.7741116881370544,
0.780798614025116,
0.7874149680137634,
0.7799490094184875,
0.7732997536659241,
0.7746835350990295,
0.7732997536659241,
0.7793624401092529,
0.7701244950294495,
0.7738693356513977,
0.7818484306335449
]
}