|
{ |
|
"best_metric": 0.8380823767724511, |
|
"best_model_checkpoint": "/scratch/mrahma45/pixel/finetuned_models/canine/canine-base-finetuned-masakhaner-zh/checkpoint-8000", |
|
"epoch": 6.529453513129879, |
|
"global_step": 9200, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.14, |
|
"eval_accuracy_score": 0.9129681035491316, |
|
"eval_f1": 0.28297109094745726, |
|
"eval_loss": 0.24658027291297913, |
|
"eval_precision": 0.2293091655266758, |
|
"eval_recall": 0.3694214876033058, |
|
"eval_runtime": 13.6213, |
|
"eval_samples_per_second": 126.346, |
|
"eval_steps_per_second": 15.858, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.28, |
|
"eval_accuracy_score": 0.9404507407761931, |
|
"eval_f1": 0.45835209365150836, |
|
"eval_loss": 0.16537903249263763, |
|
"eval_precision": 0.3875142748382185, |
|
"eval_recall": 0.5608815426997246, |
|
"eval_runtime": 13.6182, |
|
"eval_samples_per_second": 126.375, |
|
"eval_steps_per_second": 15.861, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.35, |
|
"learning_rate": 4.865771812080537e-05, |
|
"loss": 0.311, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.43, |
|
"eval_accuracy_score": 0.9547344798613105, |
|
"eval_f1": 0.5599802127133318, |
|
"eval_loss": 0.1292579174041748, |
|
"eval_precision": 0.5080789946140036, |
|
"eval_recall": 0.6236914600550965, |
|
"eval_runtime": 13.6318, |
|
"eval_samples_per_second": 126.249, |
|
"eval_steps_per_second": 15.845, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.57, |
|
"eval_accuracy_score": 0.9593291003265159, |
|
"eval_f1": 0.6071473041962396, |
|
"eval_loss": 0.11427777260541916, |
|
"eval_precision": 0.5539650079527381, |
|
"eval_recall": 0.6716253443526171, |
|
"eval_runtime": 13.6172, |
|
"eval_samples_per_second": 126.385, |
|
"eval_steps_per_second": 15.862, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.71, |
|
"learning_rate": 4.697986577181208e-05, |
|
"loss": 0.129, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.71, |
|
"eval_accuracy_score": 0.9607542835263712, |
|
"eval_f1": 0.6353887399463807, |
|
"eval_loss": 0.11220921576023102, |
|
"eval_precision": 0.5697115384615384, |
|
"eval_recall": 0.7181818181818181, |
|
"eval_runtime": 13.6515, |
|
"eval_samples_per_second": 126.067, |
|
"eval_steps_per_second": 15.822, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.85, |
|
"eval_accuracy_score": 0.9674547717047957, |
|
"eval_f1": 0.6734111543450064, |
|
"eval_loss": 0.09249622374773026, |
|
"eval_precision": 0.6362745098039215, |
|
"eval_recall": 0.7151515151515152, |
|
"eval_runtime": 13.6224, |
|
"eval_samples_per_second": 126.336, |
|
"eval_steps_per_second": 15.856, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 0.99, |
|
"eval_accuracy_score": 0.9631473150186657, |
|
"eval_f1": 0.6626785496276401, |
|
"eval_loss": 0.10182885825634003, |
|
"eval_precision": 0.5950449462837097, |
|
"eval_recall": 0.7476584022038567, |
|
"eval_runtime": 13.6109, |
|
"eval_samples_per_second": 126.443, |
|
"eval_steps_per_second": 15.87, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 1.06, |
|
"learning_rate": 4.530201342281879e-05, |
|
"loss": 0.1036, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 1.14, |
|
"eval_accuracy_score": 0.9710921795730831, |
|
"eval_f1": 0.6969853130636433, |
|
"eval_loss": 0.082883320748806, |
|
"eval_precision": 0.6546466602129719, |
|
"eval_recall": 0.7451790633608816, |
|
"eval_runtime": 13.6154, |
|
"eval_samples_per_second": 126.401, |
|
"eval_steps_per_second": 15.864, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 1.28, |
|
"eval_accuracy_score": 0.9742722525339544, |
|
"eval_f1": 0.7333952008484688, |
|
"eval_loss": 0.07554662227630615, |
|
"eval_precision": 0.7068745208280092, |
|
"eval_recall": 0.7619834710743801, |
|
"eval_runtime": 14.1365, |
|
"eval_samples_per_second": 121.741, |
|
"eval_steps_per_second": 15.28, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 1.42, |
|
"learning_rate": 4.36241610738255e-05, |
|
"loss": 0.0836, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 1.42, |
|
"eval_accuracy_score": 0.974740223136892, |
|
"eval_f1": 0.732556617358293, |
|
"eval_loss": 0.07343326508998871, |
|
"eval_precision": 0.697929658268895, |
|
"eval_recall": 0.7707988980716254, |
|
"eval_runtime": 13.5903, |
|
"eval_samples_per_second": 126.635, |
|
"eval_steps_per_second": 15.894, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 1.56, |
|
"eval_accuracy_score": 0.9732086829818236, |
|
"eval_f1": 0.7319003033100355, |
|
"eval_loss": 0.07696483284235, |
|
"eval_precision": 0.7019984821654439, |
|
"eval_recall": 0.7644628099173554, |
|
"eval_runtime": 13.5905, |
|
"eval_samples_per_second": 126.633, |
|
"eval_steps_per_second": 15.893, |
|
"step": 2200 |
|
}, |
|
{ |
|
"epoch": 1.7, |
|
"eval_accuracy_score": 0.9746870446592855, |
|
"eval_f1": 0.7546320804658551, |
|
"eval_loss": 0.07449489831924438, |
|
"eval_precision": 0.7261844116148752, |
|
"eval_recall": 0.7853994490358127, |
|
"eval_runtime": 13.5778, |
|
"eval_samples_per_second": 126.751, |
|
"eval_steps_per_second": 15.908, |
|
"step": 2400 |
|
}, |
|
{ |
|
"epoch": 1.77, |
|
"learning_rate": 4.194630872483222e-05, |
|
"loss": 0.0759, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 1.85, |
|
"eval_accuracy_score": 0.9739850887548791, |
|
"eval_f1": 0.7507269362939466, |
|
"eval_loss": 0.07230275124311447, |
|
"eval_precision": 0.7215447154471545, |
|
"eval_recall": 0.7823691460055097, |
|
"eval_runtime": 13.6116, |
|
"eval_samples_per_second": 126.436, |
|
"eval_steps_per_second": 15.869, |
|
"step": 2600 |
|
}, |
|
{ |
|
"epoch": 1.99, |
|
"eval_accuracy_score": 0.9774842325813896, |
|
"eval_f1": 0.765840220385675, |
|
"eval_loss": 0.06559152156114578, |
|
"eval_precision": 0.7310293012772352, |
|
"eval_recall": 0.8041322314049587, |
|
"eval_runtime": 13.5735, |
|
"eval_samples_per_second": 126.791, |
|
"eval_steps_per_second": 15.913, |
|
"step": 2800 |
|
}, |
|
{ |
|
"epoch": 2.13, |
|
"learning_rate": 4.026845637583892e-05, |
|
"loss": 0.0661, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 2.13, |
|
"eval_accuracy_score": 0.9767397338948981, |
|
"eval_f1": 0.766487478694113, |
|
"eval_loss": 0.06845659017562866, |
|
"eval_precision": 0.7312984738553916, |
|
"eval_recall": 0.8052341597796143, |
|
"eval_runtime": 13.5908, |
|
"eval_samples_per_second": 126.63, |
|
"eval_steps_per_second": 15.893, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 2.27, |
|
"eval_accuracy_score": 0.9781861884857961, |
|
"eval_f1": 0.786258521588023, |
|
"eval_loss": 0.06672950088977814, |
|
"eval_precision": 0.7636977408465334, |
|
"eval_recall": 0.8101928374655647, |
|
"eval_runtime": 13.5943, |
|
"eval_samples_per_second": 126.597, |
|
"eval_steps_per_second": 15.889, |
|
"step": 3200 |
|
}, |
|
{ |
|
"epoch": 2.41, |
|
"eval_accuracy_score": 0.978494623655914, |
|
"eval_f1": 0.788430637386181, |
|
"eval_loss": 0.06290964037179947, |
|
"eval_precision": 0.7670661803022407, |
|
"eval_recall": 0.8110192837465565, |
|
"eval_runtime": 13.6234, |
|
"eval_samples_per_second": 126.327, |
|
"eval_steps_per_second": 15.855, |
|
"step": 3400 |
|
}, |
|
{ |
|
"epoch": 2.48, |
|
"learning_rate": 3.859060402684564e-05, |
|
"loss": 0.0557, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 2.56, |
|
"eval_accuracy_score": 0.9771545260202291, |
|
"eval_f1": 0.7819006940736786, |
|
"eval_loss": 0.06865714490413666, |
|
"eval_precision": 0.7584153288451579, |
|
"eval_recall": 0.8068870523415977, |
|
"eval_runtime": 13.6478, |
|
"eval_samples_per_second": 126.101, |
|
"eval_steps_per_second": 15.827, |
|
"step": 3600 |
|
}, |
|
{ |
|
"epoch": 2.7, |
|
"eval_accuracy_score": 0.9764100273337375, |
|
"eval_f1": 0.7668036590216094, |
|
"eval_loss": 0.06829773634672165, |
|
"eval_precision": 0.7390748786097623, |
|
"eval_recall": 0.7966942148760331, |
|
"eval_runtime": 13.5949, |
|
"eval_samples_per_second": 126.592, |
|
"eval_steps_per_second": 15.888, |
|
"step": 3800 |
|
}, |
|
{ |
|
"epoch": 2.84, |
|
"learning_rate": 3.6912751677852356e-05, |
|
"loss": 0.053, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 2.84, |
|
"eval_accuracy_score": 0.9786116163066484, |
|
"eval_f1": 0.7864077669902914, |
|
"eval_loss": 0.06425034999847412, |
|
"eval_precision": 0.750751503006012, |
|
"eval_recall": 0.8256198347107438, |
|
"eval_runtime": 13.5943, |
|
"eval_samples_per_second": 126.597, |
|
"eval_steps_per_second": 15.889, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 2.98, |
|
"eval_accuracy_score": 0.9795475575125235, |
|
"eval_f1": 0.7989869368168488, |
|
"eval_loss": 0.06154418736696243, |
|
"eval_precision": 0.7740185950413223, |
|
"eval_recall": 0.8256198347107438, |
|
"eval_runtime": 13.6387, |
|
"eval_samples_per_second": 126.185, |
|
"eval_steps_per_second": 15.837, |
|
"step": 4200 |
|
}, |
|
{ |
|
"epoch": 3.12, |
|
"eval_accuracy_score": 0.9785797092200844, |
|
"eval_f1": 0.7900653594771242, |
|
"eval_loss": 0.0661051869392395, |
|
"eval_precision": 0.7517412935323383, |
|
"eval_recall": 0.8325068870523415, |
|
"eval_runtime": 13.6158, |
|
"eval_samples_per_second": 126.398, |
|
"eval_steps_per_second": 15.864, |
|
"step": 4400 |
|
}, |
|
{ |
|
"epoch": 3.19, |
|
"learning_rate": 3.523489932885906e-05, |
|
"loss": 0.0438, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 3.26, |
|
"eval_accuracy_score": 0.9797815428139923, |
|
"eval_f1": 0.7966373098478784, |
|
"eval_loss": 0.06480157375335693, |
|
"eval_precision": 0.7725155279503105, |
|
"eval_recall": 0.8223140495867769, |
|
"eval_runtime": 13.6096, |
|
"eval_samples_per_second": 126.455, |
|
"eval_steps_per_second": 15.871, |
|
"step": 4600 |
|
}, |
|
{ |
|
"epoch": 3.41, |
|
"eval_accuracy_score": 0.9802920561990152, |
|
"eval_f1": 0.7971303308090872, |
|
"eval_loss": 0.0628492534160614, |
|
"eval_precision": 0.7698229407236336, |
|
"eval_recall": 0.8264462809917356, |
|
"eval_runtime": 13.615, |
|
"eval_samples_per_second": 126.404, |
|
"eval_steps_per_second": 15.865, |
|
"step": 4800 |
|
}, |
|
{ |
|
"epoch": 3.55, |
|
"learning_rate": 3.3557046979865775e-05, |
|
"loss": 0.0387, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 3.55, |
|
"eval_accuracy_score": 0.9815577039660509, |
|
"eval_f1": 0.810593900481541, |
|
"eval_loss": 0.06002389267086983, |
|
"eval_precision": 0.7878315132605305, |
|
"eval_recall": 0.8347107438016529, |
|
"eval_runtime": 13.5792, |
|
"eval_samples_per_second": 126.738, |
|
"eval_steps_per_second": 15.907, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 3.69, |
|
"eval_accuracy_score": 0.9817385107899131, |
|
"eval_f1": 0.8027467348862258, |
|
"eval_loss": 0.05803261324763298, |
|
"eval_precision": 0.7850934948643666, |
|
"eval_recall": 0.8212121212121212, |
|
"eval_runtime": 13.5963, |
|
"eval_samples_per_second": 126.578, |
|
"eval_steps_per_second": 15.887, |
|
"step": 5200 |
|
}, |
|
{ |
|
"epoch": 3.83, |
|
"eval_accuracy_score": 0.9809940121034215, |
|
"eval_f1": 0.7985592315901814, |
|
"eval_loss": 0.05973115563392639, |
|
"eval_precision": 0.7741852043455768, |
|
"eval_recall": 0.8245179063360881, |
|
"eval_runtime": 13.6439, |
|
"eval_samples_per_second": 126.137, |
|
"eval_steps_per_second": 15.831, |
|
"step": 5400 |
|
}, |
|
{ |
|
"epoch": 3.9, |
|
"learning_rate": 3.1879194630872485e-05, |
|
"loss": 0.0384, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 3.97, |
|
"eval_accuracy_score": 0.9800155281154611, |
|
"eval_f1": 0.811035221641891, |
|
"eval_loss": 0.0613255649805069, |
|
"eval_precision": 0.7891581965076883, |
|
"eval_recall": 0.8341597796143251, |
|
"eval_runtime": 13.6115, |
|
"eval_samples_per_second": 126.437, |
|
"eval_steps_per_second": 15.869, |
|
"step": 5600 |
|
}, |
|
{ |
|
"epoch": 4.12, |
|
"eval_accuracy_score": 0.9810046477989428, |
|
"eval_f1": 0.8116173727684519, |
|
"eval_loss": 0.062166035175323486, |
|
"eval_precision": 0.7858617131062952, |
|
"eval_recall": 0.8391184573002755, |
|
"eval_runtime": 13.5983, |
|
"eval_samples_per_second": 126.56, |
|
"eval_steps_per_second": 15.884, |
|
"step": 5800 |
|
}, |
|
{ |
|
"epoch": 4.26, |
|
"learning_rate": 3.02013422818792e-05, |
|
"loss": 0.0306, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 4.26, |
|
"eval_accuracy_score": 0.9821001244376376, |
|
"eval_f1": 0.8187010227121796, |
|
"eval_loss": 0.062430813908576965, |
|
"eval_precision": 0.790459092074891, |
|
"eval_recall": 0.8490358126721763, |
|
"eval_runtime": 13.6088, |
|
"eval_samples_per_second": 126.462, |
|
"eval_steps_per_second": 15.872, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 4.4, |
|
"eval_accuracy_score": 0.9816321538347, |
|
"eval_f1": 0.8215152332165004, |
|
"eval_loss": 0.06259527057409286, |
|
"eval_precision": 0.8043822597676874, |
|
"eval_recall": 0.8393939393939394, |
|
"eval_runtime": 13.5727, |
|
"eval_samples_per_second": 126.799, |
|
"eval_steps_per_second": 15.914, |
|
"step": 6200 |
|
}, |
|
{ |
|
"epoch": 4.54, |
|
"eval_accuracy_score": 0.9820894887421163, |
|
"eval_f1": 0.820450885668277, |
|
"eval_loss": 0.060455016791820526, |
|
"eval_precision": 0.7998430141287284, |
|
"eval_recall": 0.8421487603305785, |
|
"eval_runtime": 13.9612, |
|
"eval_samples_per_second": 123.27, |
|
"eval_steps_per_second": 15.471, |
|
"step": 6400 |
|
}, |
|
{ |
|
"epoch": 4.61, |
|
"learning_rate": 2.8523489932885905e-05, |
|
"loss": 0.0284, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 4.68, |
|
"eval_accuracy_score": 0.9816959680078279, |
|
"eval_f1": 0.8147754451235716, |
|
"eval_loss": 0.06003221124410629, |
|
"eval_precision": 0.7869609856262834, |
|
"eval_recall": 0.8446280991735537, |
|
"eval_runtime": 13.5502, |
|
"eval_samples_per_second": 127.009, |
|
"eval_steps_per_second": 15.941, |
|
"step": 6600 |
|
}, |
|
{ |
|
"epoch": 4.83, |
|
"eval_accuracy_score": 0.9806962126288249, |
|
"eval_f1": 0.8067448294032407, |
|
"eval_loss": 0.06309182196855545, |
|
"eval_precision": 0.7730371118404443, |
|
"eval_recall": 0.843526170798898, |
|
"eval_runtime": 13.6187, |
|
"eval_samples_per_second": 126.37, |
|
"eval_steps_per_second": 15.861, |
|
"step": 6800 |
|
}, |
|
{ |
|
"epoch": 4.97, |
|
"learning_rate": 2.6845637583892618e-05, |
|
"loss": 0.0284, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 4.97, |
|
"eval_accuracy_score": 0.9820150388734671, |
|
"eval_f1": 0.8199058507061198, |
|
"eval_loss": 0.06148926541209221, |
|
"eval_precision": 0.8010512483574245, |
|
"eval_recall": 0.8396694214876033, |
|
"eval_runtime": 13.5967, |
|
"eval_samples_per_second": 126.575, |
|
"eval_steps_per_second": 15.886, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 5.11, |
|
"eval_accuracy_score": 0.9822490241749359, |
|
"eval_f1": 0.8229922105828633, |
|
"eval_loss": 0.061297256499528885, |
|
"eval_precision": 0.8029350104821803, |
|
"eval_recall": 0.8440771349862259, |
|
"eval_runtime": 13.5574, |
|
"eval_samples_per_second": 126.941, |
|
"eval_steps_per_second": 15.932, |
|
"step": 7200 |
|
}, |
|
{ |
|
"epoch": 5.25, |
|
"eval_accuracy_score": 0.9818767748316901, |
|
"eval_f1": 0.8198608137044968, |
|
"eval_loss": 0.06245254725217819, |
|
"eval_precision": 0.7972410203019261, |
|
"eval_recall": 0.843801652892562, |
|
"eval_runtime": 13.5789, |
|
"eval_samples_per_second": 126.741, |
|
"eval_steps_per_second": 15.907, |
|
"step": 7400 |
|
}, |
|
{ |
|
"epoch": 5.32, |
|
"learning_rate": 2.516778523489933e-05, |
|
"loss": 0.0214, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 5.39, |
|
"eval_accuracy_score": 0.9830041585569488, |
|
"eval_f1": 0.8312735088662009, |
|
"eval_loss": 0.061838824301958084, |
|
"eval_precision": 0.8112218143681175, |
|
"eval_recall": 0.8523415977961433, |
|
"eval_runtime": 13.5752, |
|
"eval_samples_per_second": 126.775, |
|
"eval_steps_per_second": 15.911, |
|
"step": 7600 |
|
}, |
|
{ |
|
"epoch": 5.54, |
|
"eval_accuracy_score": 0.9833870435957159, |
|
"eval_f1": 0.8350612629594723, |
|
"eval_loss": 0.05837469547986984, |
|
"eval_precision": 0.8166973926784303, |
|
"eval_recall": 0.8542699724517906, |
|
"eval_runtime": 13.5899, |
|
"eval_samples_per_second": 126.638, |
|
"eval_steps_per_second": 15.894, |
|
"step": 7800 |
|
}, |
|
{ |
|
"epoch": 5.68, |
|
"learning_rate": 2.348993288590604e-05, |
|
"loss": 0.0207, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 5.68, |
|
"eval_accuracy_score": 0.983046701339034, |
|
"eval_f1": 0.8380823767724511, |
|
"eval_loss": 0.062301117926836014, |
|
"eval_precision": 0.8219867549668874, |
|
"eval_recall": 0.8548209366391185, |
|
"eval_runtime": 13.6129, |
|
"eval_samples_per_second": 126.424, |
|
"eval_steps_per_second": 15.867, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 5.82, |
|
"eval_accuracy_score": 0.9830573370345553, |
|
"eval_f1": 0.8395858545112277, |
|
"eval_loss": 0.06179790198802948, |
|
"eval_precision": 0.8200682952456002, |
|
"eval_recall": 0.8600550964187328, |
|
"eval_runtime": 13.5699, |
|
"eval_samples_per_second": 126.824, |
|
"eval_steps_per_second": 15.918, |
|
"step": 8200 |
|
}, |
|
{ |
|
"epoch": 5.96, |
|
"eval_accuracy_score": 0.9832913223360241, |
|
"eval_f1": 0.832185770217362, |
|
"eval_loss": 0.062014687806367874, |
|
"eval_precision": 0.815991527667461, |
|
"eval_recall": 0.8490358126721763, |
|
"eval_runtime": 13.5558, |
|
"eval_samples_per_second": 126.957, |
|
"eval_steps_per_second": 15.934, |
|
"step": 8400 |
|
}, |
|
{ |
|
"epoch": 6.03, |
|
"learning_rate": 2.181208053691275e-05, |
|
"loss": 0.021, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 6.1, |
|
"eval_accuracy_score": 0.9830041585569488, |
|
"eval_f1": 0.8260577568838147, |
|
"eval_loss": 0.0646287053823471, |
|
"eval_precision": 0.8060288335517694, |
|
"eval_recall": 0.8471074380165289, |
|
"eval_runtime": 13.6088, |
|
"eval_samples_per_second": 126.462, |
|
"eval_steps_per_second": 15.872, |
|
"step": 8600 |
|
}, |
|
{ |
|
"epoch": 6.25, |
|
"eval_accuracy_score": 0.9833976792912372, |
|
"eval_f1": 0.8323497854077254, |
|
"eval_loss": 0.06417383998632431, |
|
"eval_precision": 0.8110297961317303, |
|
"eval_recall": 0.8548209366391185, |
|
"eval_runtime": 13.585, |
|
"eval_samples_per_second": 126.684, |
|
"eval_steps_per_second": 15.9, |
|
"step": 8800 |
|
}, |
|
{ |
|
"epoch": 6.39, |
|
"learning_rate": 2.013422818791946e-05, |
|
"loss": 0.016, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 6.39, |
|
"eval_accuracy_score": 0.9833870435957159, |
|
"eval_f1": 0.8344495044200374, |
|
"eval_loss": 0.062400706112384796, |
|
"eval_precision": 0.8120437956204379, |
|
"eval_recall": 0.8581267217630854, |
|
"eval_runtime": 13.5776, |
|
"eval_samples_per_second": 126.753, |
|
"eval_steps_per_second": 15.909, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 6.53, |
|
"eval_accuracy_score": 0.9841421779777288, |
|
"eval_f1": 0.8372093023255813, |
|
"eval_loss": 0.061586689203977585, |
|
"eval_precision": 0.8130841121495327, |
|
"eval_recall": 0.8628099173553719, |
|
"eval_runtime": 13.5728, |
|
"eval_samples_per_second": 126.797, |
|
"eval_steps_per_second": 15.914, |
|
"step": 9200 |
|
}, |
|
{ |
|
"epoch": 6.53, |
|
"step": 9200, |
|
"total_flos": 4.831477938761011e+16, |
|
"train_loss": 0.06368145237798276, |
|
"train_runtime": 5134.9469, |
|
"train_samples_per_second": 93.477, |
|
"train_steps_per_second": 2.921 |
|
} |
|
], |
|
"max_steps": 15000, |
|
"num_train_epochs": 11, |
|
"total_flos": 4.831477938761011e+16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|