lxyuan's picture
Add test results from all languages
ab5d675
raw
history blame
3.92 kB
{
"epoch": 3.0,
"test_de_loss": 0.004396949894726276,
"test_de_overall_accuracy": 0.990894549469527,
"test_de_overall_f1": 0.9491292290626733,
"test_de_overall_precision": 0.949571625160918,
"test_de_overall_recall": 0.948687244988469,
"test_de_runtime": 180.8512,
"test_de_samples_per_second": 188.011,
"test_de_steps_per_second": 5.878,
"test_en_loss": 0.005419674329459667,
"test_en_overall_accuracy": 0.9879345868453282,
"test_en_overall_f1": 0.9371929824561404,
"test_en_overall_precision": 0.9368642581550333,
"test_en_overall_recall": 0.9375219375219376,
"test_en_runtime": 200.3045,
"test_en_samples_per_second": 182.822,
"test_en_steps_per_second": 5.716,
"test_es_loss": 0.005239016376435757,
"test_es_overall_accuracy": 0.984590035927921,
"test_es_overall_f1": 0.9094008682050652,
"test_es_overall_precision": 0.9119492421572083,
"test_es_overall_recall": 0.906866697045112,
"test_es_runtime": 234.1543,
"test_es_samples_per_second": 184.964,
"test_es_steps_per_second": 5.783,
"test_fr_loss": 0.005408941302448511,
"test_fr_overall_accuracy": 0.9852411087509967,
"test_fr_overall_f1": 0.9104979811574698,
"test_fr_overall_precision": 0.913636848278068,
"test_fr_overall_recall": 0.9073806078147613,
"test_fr_runtime": 245.0657,
"test_fr_samples_per_second": 183.306,
"test_fr_steps_per_second": 5.729,
"test_it_loss": 0.005050727631896734,
"test_it_overall_accuracy": 0.986311053587217,
"test_it_overall_f1": 0.915304886679983,
"test_it_overall_precision": 0.9051262909045664,
"test_it_overall_recall": 0.925715012884548,
"test_it_runtime": 262.0896,
"test_it_samples_per_second": 181.77,
"test_it_steps_per_second": 5.681,
"test_loss": 0.0058621917851269245,
"test_nl_loss": 0.006188625935465097,
"test_nl_overall_accuracy": 0.9861084693737006,
"test_nl_overall_f1": 0.9267429843389776,
"test_nl_overall_precision": 0.9323016634676904,
"test_nl_overall_recall": 0.921250197565987,
"test_nl_runtime": 194.5029,
"test_nl_samples_per_second": 186.794,
"test_nl_steps_per_second": 5.841,
"test_overall_accuracy": 0.9831472809849865,
"test_overall_f1": 0.9187844693592546,
"test_overall_precision": 0.9202802342397876,
"test_overall_recall": 0.9172935588307115,
"test_pl_loss": 0.009771931916475296,
"test_pl_overall_accuracy": 0.9803232678801388,
"test_pl_overall_f1": 0.9187710082259345,
"test_pl_overall_precision": 0.9216822556594821,
"test_pl_overall_recall": 0.9158780939552114,
"test_pl_runtime": 217.0271,
"test_pl_samples_per_second": 190.667,
"test_pl_steps_per_second": 5.962,
"test_pt_loss": 0.005407294258475304,
"test_pt_overall_accuracy": 0.9856329826133183,
"test_pt_overall_f1": 0.9213877909530084,
"test_pt_overall_precision": 0.9269855296586766,
"test_pt_overall_recall": 0.9158572519917058,
"test_pt_runtime": 222.056,
"test_pt_samples_per_second": 184.035,
"test_pt_steps_per_second": 5.755,
"test_ru_loss": 0.007867155596613884,
"test_ru_overall_accuracy": 0.9845492947662347,
"test_ru_overall_f1": 0.9233542107871852,
"test_ru_overall_precision": 0.9231462293900351,
"test_ru_overall_recall": 0.9235622859203173,
"test_ru_runtime": 93.599,
"test_ru_samples_per_second": 189.062,
"test_ru_steps_per_second": 5.908,
"test_runtime": 2716.7472,
"test_samples_per_second": 149.141,
"test_steps_per_second": 4.661,
"test_zh_loss": 0.0052350047044456005,
"test_zh_overall_accuracy": 0.969091015728771,
"test_zh_overall_f1": 0.8821501829178032,
"test_zh_overall_precision": 0.8891257086832346,
"test_zh_overall_recall": 0.8752832563994964,
"test_zh_runtime": 344.8251,
"test_zh_samples_per_second": 180.99,
"test_zh_steps_per_second": 5.658
}