Text Classification
Transformers
TensorBoard
Safetensors
modernbert
wissamantoun's picture
Upload folder using huggingface_hub
7983357 verified
{
"test_accuracy": 0.8585,
"test_accuracy__0": 0.9345794392523364,
"test_accuracy__1": 0.7317073170731707,
"test_accuracy__10": 0.9148351648351648,
"test_accuracy__11": 0.89272030651341,
"test_accuracy__12": 0.8687196110210696,
"test_accuracy__13": 0.813953488372093,
"test_accuracy__14": 0.8615819209039548,
"test_accuracy__15": 0.717948717948718,
"test_accuracy__16": 0.8550295857988166,
"test_accuracy__17": 0.8245931283905967,
"test_accuracy__18": 0.9069767441860465,
"test_accuracy__19": 0.8333333333333334,
"test_accuracy__2": 0.8660287081339713,
"test_accuracy__20": 0.8294117647058824,
"test_accuracy__21": 0.944141689373297,
"test_accuracy__22": 0.8787878787878788,
"test_accuracy__23": 0.9,
"test_accuracy__3": 0.8470254957507082,
"test_accuracy__4": 0.8442367601246106,
"test_accuracy__5": 0.8188679245283019,
"test_accuracy__6": 0.8996655518394648,
"test_accuracy__7": 0.729490022172949,
"test_accuracy__8": 0.8937329700272479,
"test_accuracy__9": 0.8665105386416861,
"test_accuracy_conf50": 0.8673937417184793,
"test_accuracy_conf50__0": 0.9433962264150944,
"test_accuracy_conf50__1": 0.7452830188679245,
"test_accuracy_conf50__10": 0.9299719887955182,
"test_accuracy_conf50__11": 0.8957528957528957,
"test_accuracy_conf50__12": 0.8768472906403941,
"test_accuracy_conf50__13": 0.8192771084337349,
"test_accuracy_conf50__14": 0.8690647482014389,
"test_accuracy_conf50__15": 0.7236842105263158,
"test_accuracy_conf50__16": 0.8640483383685801,
"test_accuracy_conf50__17": 0.8357933579335793,
"test_accuracy_conf50__18": 0.91,
"test_accuracy_conf50__19": 0.8480565371024735,
"test_accuracy_conf50__2": 0.8768472906403941,
"test_accuracy_conf50__20": 0.8433734939759037,
"test_accuracy_conf50__21": 0.9504814305364512,
"test_accuracy_conf50__22": 0.8843537414965986,
"test_accuracy_conf50__23": 0.9028213166144201,
"test_accuracy_conf50__3": 0.8571428571428571,
"test_accuracy_conf50__4": 0.8510301109350238,
"test_accuracy_conf50__5": 0.8206106870229007,
"test_accuracy_conf50__6": 0.9071347678369196,
"test_accuracy_conf50__7": 0.7441860465116279,
"test_accuracy_conf50__8": 0.9005524861878453,
"test_accuracy_conf50__9": 0.8760529482551144,
"test_accuracy_conf75": 0.917750439367311,
"test_accuracy_conf75__0": 0.95,
"test_accuracy_conf75__1": 0.8412698412698413,
"test_accuracy_conf75__10": 0.9556213017751479,
"test_accuracy_conf75__11": 0.9297520661157025,
"test_accuracy_conf75__12": 0.9298892988929889,
"test_accuracy_conf75__13": 0.8787878787878788,
"test_accuracy_conf75__14": 0.9126050420168067,
"test_accuracy_conf75__15": 0.8253012048192772,
"test_accuracy_conf75__16": 0.8885017421602788,
"test_accuracy_conf75__17": 0.8968421052631579,
"test_accuracy_conf75__18": 0.9379562043795621,
"test_accuracy_conf75__19": 0.9112903225806451,
"test_accuracy_conf75__2": 0.9028571428571428,
"test_accuracy_conf75__20": 0.896551724137931,
"test_accuracy_conf75__21": 0.9680232558139535,
"test_accuracy_conf75__22": 0.9224806201550387,
"test_accuracy_conf75__23": 0.9444444444444444,
"test_accuracy_conf75__3": 0.931899641577061,
"test_accuracy_conf75__4": 0.8976234003656307,
"test_accuracy_conf75__5": 0.9166666666666666,
"test_accuracy_conf75__6": 0.9482976040353089,
"test_accuracy_conf75__7": 0.8040345821325648,
"test_accuracy_conf75__8": 0.9447852760736196,
"test_accuracy_conf75__9": 0.9320113314447592,
"test_accuracy_label_average": 0.853078252571446,
"test_accuracy_label_average_conf50": 0.8614901207580835,
"test_accuracy_label_average_conf75": 0.9111455290735587,
"test_accuracy_label_min": 0.717948717948718,
"test_accuracy_label_min_conf50": 0.7236842105263158,
"test_accuracy_label_min_conf75": 0.8040345821325648,
"test_loss": 0.4694322645664215,
"test_proportion_conf50": 0.9811,
"test_proportion_conf75": 0.8535,
"test_runtime": 8.3953,
"test_samples_per_second": 1191.144,
"test_steps_per_second": 37.283
}