|
{ |
|
"best_metric": 0.2977409064769745, |
|
"best_model_checkpoint": "finetuned-ConvNext-Indian-food/checkpoint-1300", |
|
"epoch": 10.0, |
|
"global_step": 3330, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.0001993993993993994, |
|
"loss": 2.9337, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.0001987987987987988, |
|
"loss": 2.7589, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.0001981981981981982, |
|
"loss": 2.4837, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"learning_rate": 0.0001975975975975976, |
|
"loss": 2.2961, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"learning_rate": 0.00019699699699699701, |
|
"loss": 2.1006, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"learning_rate": 0.0001963963963963964, |
|
"loss": 1.8491, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"learning_rate": 0.00019579579579579582, |
|
"loss": 1.637, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"learning_rate": 0.0001951951951951952, |
|
"loss": 1.4124, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.27, |
|
"learning_rate": 0.00019459459459459462, |
|
"loss": 1.3069, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"learning_rate": 0.00019399399399399402, |
|
"loss": 1.3145, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"eval_accuracy": 0.8150903294367694, |
|
"eval_loss": 1.0460201501846313, |
|
"eval_runtime": 32.8174, |
|
"eval_samples_per_second": 28.674, |
|
"eval_steps_per_second": 3.596, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.33, |
|
"learning_rate": 0.0001933933933933934, |
|
"loss": 1.2783, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"learning_rate": 0.00019279279279279282, |
|
"loss": 1.0547, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.39, |
|
"learning_rate": 0.00019225225225225225, |
|
"loss": 1.0143, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 0.42, |
|
"learning_rate": 0.00019165165165165165, |
|
"loss": 0.9249, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.45, |
|
"learning_rate": 0.00019105105105105105, |
|
"loss": 0.8564, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"learning_rate": 0.00019045045045045048, |
|
"loss": 0.8674, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"learning_rate": 0.00018984984984984985, |
|
"loss": 0.9013, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 0.54, |
|
"learning_rate": 0.00018924924924924925, |
|
"loss": 0.7794, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 0.57, |
|
"learning_rate": 0.00018864864864864866, |
|
"loss": 0.7487, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"learning_rate": 0.00018804804804804806, |
|
"loss": 0.6694, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"eval_accuracy": 0.8756641870350691, |
|
"eval_loss": 0.5439420938491821, |
|
"eval_runtime": 32.7659, |
|
"eval_samples_per_second": 28.719, |
|
"eval_steps_per_second": 3.601, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.63, |
|
"learning_rate": 0.00018744744744744746, |
|
"loss": 0.7296, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 0.66, |
|
"learning_rate": 0.00018684684684684686, |
|
"loss": 0.6253, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 0.69, |
|
"learning_rate": 0.00018624624624624626, |
|
"loss": 0.5394, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 0.72, |
|
"learning_rate": 0.00018564564564564566, |
|
"loss": 0.6077, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 0.75, |
|
"learning_rate": 0.00018504504504504506, |
|
"loss": 0.6871, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 0.78, |
|
"learning_rate": 0.00018444444444444446, |
|
"loss": 0.6409, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"learning_rate": 0.00018384384384384386, |
|
"loss": 0.6477, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 0.84, |
|
"learning_rate": 0.00018324324324324324, |
|
"loss": 0.7863, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 0.87, |
|
"learning_rate": 0.00018264264264264266, |
|
"loss": 0.563, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"learning_rate": 0.00018204204204204204, |
|
"loss": 0.5057, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"eval_accuracy": 0.8831030818278427, |
|
"eval_loss": 0.439805269241333, |
|
"eval_runtime": 33.0097, |
|
"eval_samples_per_second": 28.507, |
|
"eval_steps_per_second": 3.575, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.93, |
|
"learning_rate": 0.00018144144144144144, |
|
"loss": 0.4947, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"learning_rate": 0.00018084084084084084, |
|
"loss": 0.5115, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 0.99, |
|
"learning_rate": 0.00018024024024024024, |
|
"loss": 0.4236, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"learning_rate": 0.00017963963963963967, |
|
"loss": 0.4525, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 1.05, |
|
"learning_rate": 0.00017903903903903904, |
|
"loss": 0.5395, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 1.08, |
|
"learning_rate": 0.00017843843843843844, |
|
"loss": 0.3434, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 1.11, |
|
"learning_rate": 0.00017783783783783784, |
|
"loss": 0.2957, |
|
"step": 370 |
|
}, |
|
{ |
|
"epoch": 1.14, |
|
"learning_rate": 0.00017723723723723724, |
|
"loss": 0.3677, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 1.17, |
|
"learning_rate": 0.00017663663663663665, |
|
"loss": 0.4456, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"learning_rate": 0.0001760960960960961, |
|
"loss": 0.4381, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"eval_accuracy": 0.8820403825717322, |
|
"eval_loss": 0.42858749628067017, |
|
"eval_runtime": 32.2263, |
|
"eval_samples_per_second": 29.2, |
|
"eval_steps_per_second": 3.662, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 1.23, |
|
"learning_rate": 0.0001754954954954955, |
|
"loss": 0.5108, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 1.26, |
|
"learning_rate": 0.0001748948948948949, |
|
"loss": 0.501, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 1.29, |
|
"learning_rate": 0.0001742942942942943, |
|
"loss": 0.319, |
|
"step": 430 |
|
}, |
|
{ |
|
"epoch": 1.32, |
|
"learning_rate": 0.0001736936936936937, |
|
"loss": 0.3744, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 1.35, |
|
"learning_rate": 0.0001730930930930931, |
|
"loss": 0.4664, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 1.38, |
|
"learning_rate": 0.0001724924924924925, |
|
"loss": 0.5735, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 1.41, |
|
"learning_rate": 0.0001718918918918919, |
|
"loss": 0.2927, |
|
"step": 470 |
|
}, |
|
{ |
|
"epoch": 1.44, |
|
"learning_rate": 0.00017129129129129128, |
|
"loss": 0.5256, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 1.47, |
|
"learning_rate": 0.0001706906906906907, |
|
"loss": 0.4009, |
|
"step": 490 |
|
}, |
|
{ |
|
"epoch": 1.5, |
|
"learning_rate": 0.00017009009009009008, |
|
"loss": 0.4376, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 1.5, |
|
"eval_accuracy": 0.9043570669500531, |
|
"eval_loss": 0.34000876545906067, |
|
"eval_runtime": 32.3032, |
|
"eval_samples_per_second": 29.13, |
|
"eval_steps_per_second": 3.653, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 1.53, |
|
"learning_rate": 0.0001694894894894895, |
|
"loss": 0.4056, |
|
"step": 510 |
|
}, |
|
{ |
|
"epoch": 1.56, |
|
"learning_rate": 0.00016888888888888889, |
|
"loss": 0.4832, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 1.59, |
|
"learning_rate": 0.0001682882882882883, |
|
"loss": 0.488, |
|
"step": 530 |
|
}, |
|
{ |
|
"epoch": 1.62, |
|
"learning_rate": 0.0001676876876876877, |
|
"loss": 0.3927, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 1.65, |
|
"learning_rate": 0.0001670870870870871, |
|
"loss": 0.3167, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 1.68, |
|
"learning_rate": 0.00016648648648648652, |
|
"loss": 0.3411, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 1.71, |
|
"learning_rate": 0.0001658858858858859, |
|
"loss": 0.3771, |
|
"step": 570 |
|
}, |
|
{ |
|
"epoch": 1.74, |
|
"learning_rate": 0.0001652852852852853, |
|
"loss": 0.3965, |
|
"step": 580 |
|
}, |
|
{ |
|
"epoch": 1.77, |
|
"learning_rate": 0.0001646846846846847, |
|
"loss": 0.5483, |
|
"step": 590 |
|
}, |
|
{ |
|
"epoch": 1.8, |
|
"learning_rate": 0.0001640840840840841, |
|
"loss": 0.2499, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 1.8, |
|
"eval_accuracy": 0.9064824654622742, |
|
"eval_loss": 0.3312312662601471, |
|
"eval_runtime": 32.7174, |
|
"eval_samples_per_second": 28.761, |
|
"eval_steps_per_second": 3.607, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 1.83, |
|
"learning_rate": 0.0001634834834834835, |
|
"loss": 0.3226, |
|
"step": 610 |
|
}, |
|
{ |
|
"epoch": 1.86, |
|
"learning_rate": 0.0001628828828828829, |
|
"loss": 0.2392, |
|
"step": 620 |
|
}, |
|
{ |
|
"epoch": 1.89, |
|
"learning_rate": 0.0001622822822822823, |
|
"loss": 0.5277, |
|
"step": 630 |
|
}, |
|
{ |
|
"epoch": 1.92, |
|
"learning_rate": 0.0001616816816816817, |
|
"loss": 0.3779, |
|
"step": 640 |
|
}, |
|
{ |
|
"epoch": 1.95, |
|
"learning_rate": 0.0001610810810810811, |
|
"loss": 0.362, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 1.98, |
|
"learning_rate": 0.00016048048048048047, |
|
"loss": 0.3427, |
|
"step": 660 |
|
}, |
|
{ |
|
"epoch": 2.01, |
|
"learning_rate": 0.0001598798798798799, |
|
"loss": 0.437, |
|
"step": 670 |
|
}, |
|
{ |
|
"epoch": 2.04, |
|
"learning_rate": 0.00015927927927927927, |
|
"loss": 0.4169, |
|
"step": 680 |
|
}, |
|
{ |
|
"epoch": 2.07, |
|
"learning_rate": 0.0001586786786786787, |
|
"loss": 0.311, |
|
"step": 690 |
|
}, |
|
{ |
|
"epoch": 2.1, |
|
"learning_rate": 0.00015807807807807807, |
|
"loss": 0.2802, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 2.1, |
|
"eval_accuracy": 0.9032943676939427, |
|
"eval_loss": 0.33384454250335693, |
|
"eval_runtime": 33.4958, |
|
"eval_samples_per_second": 28.093, |
|
"eval_steps_per_second": 3.523, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 2.13, |
|
"learning_rate": 0.00015747747747747747, |
|
"loss": 0.1493, |
|
"step": 710 |
|
}, |
|
{ |
|
"epoch": 2.16, |
|
"learning_rate": 0.00015687687687687688, |
|
"loss": 0.272, |
|
"step": 720 |
|
}, |
|
{ |
|
"epoch": 2.19, |
|
"learning_rate": 0.00015627627627627628, |
|
"loss": 0.2145, |
|
"step": 730 |
|
}, |
|
{ |
|
"epoch": 2.22, |
|
"learning_rate": 0.0001556756756756757, |
|
"loss": 0.1844, |
|
"step": 740 |
|
}, |
|
{ |
|
"epoch": 2.25, |
|
"learning_rate": 0.00015507507507507508, |
|
"loss": 0.2618, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 2.28, |
|
"learning_rate": 0.00015447447447447448, |
|
"loss": 0.3342, |
|
"step": 760 |
|
}, |
|
{ |
|
"epoch": 2.31, |
|
"learning_rate": 0.00015387387387387388, |
|
"loss": 0.3784, |
|
"step": 770 |
|
}, |
|
{ |
|
"epoch": 2.34, |
|
"learning_rate": 0.00015327327327327328, |
|
"loss": 0.306, |
|
"step": 780 |
|
}, |
|
{ |
|
"epoch": 2.37, |
|
"learning_rate": 0.00015267267267267268, |
|
"loss": 0.3756, |
|
"step": 790 |
|
}, |
|
{ |
|
"epoch": 2.4, |
|
"learning_rate": 0.00015207207207207208, |
|
"loss": 0.3014, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 2.4, |
|
"eval_accuracy": 0.8947927736450585, |
|
"eval_loss": 0.35719022154808044, |
|
"eval_runtime": 32.3776, |
|
"eval_samples_per_second": 29.063, |
|
"eval_steps_per_second": 3.644, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 2.43, |
|
"learning_rate": 0.00015147147147147148, |
|
"loss": 0.2036, |
|
"step": 810 |
|
}, |
|
{ |
|
"epoch": 2.46, |
|
"learning_rate": 0.00015087087087087088, |
|
"loss": 0.239, |
|
"step": 820 |
|
}, |
|
{ |
|
"epoch": 2.49, |
|
"learning_rate": 0.00015027027027027028, |
|
"loss": 0.2958, |
|
"step": 830 |
|
}, |
|
{ |
|
"epoch": 2.52, |
|
"learning_rate": 0.00014966966966966969, |
|
"loss": 0.3529, |
|
"step": 840 |
|
}, |
|
{ |
|
"epoch": 2.55, |
|
"learning_rate": 0.0001490690690690691, |
|
"loss": 0.2531, |
|
"step": 850 |
|
}, |
|
{ |
|
"epoch": 2.58, |
|
"learning_rate": 0.00014846846846846846, |
|
"loss": 0.2603, |
|
"step": 860 |
|
}, |
|
{ |
|
"epoch": 2.61, |
|
"learning_rate": 0.0001478678678678679, |
|
"loss": 0.2643, |
|
"step": 870 |
|
}, |
|
{ |
|
"epoch": 2.64, |
|
"learning_rate": 0.00014726726726726726, |
|
"loss": 0.3614, |
|
"step": 880 |
|
}, |
|
{ |
|
"epoch": 2.67, |
|
"learning_rate": 0.00014666666666666666, |
|
"loss": 0.1766, |
|
"step": 890 |
|
}, |
|
{ |
|
"epoch": 2.7, |
|
"learning_rate": 0.00014606606606606606, |
|
"loss": 0.2508, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 2.7, |
|
"eval_accuracy": 0.9022316684378321, |
|
"eval_loss": 0.34318017959594727, |
|
"eval_runtime": 32.6394, |
|
"eval_samples_per_second": 28.83, |
|
"eval_steps_per_second": 3.615, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 2.73, |
|
"learning_rate": 0.00014546546546546546, |
|
"loss": 0.3306, |
|
"step": 910 |
|
}, |
|
{ |
|
"epoch": 2.76, |
|
"learning_rate": 0.0001448648648648649, |
|
"loss": 0.2941, |
|
"step": 920 |
|
}, |
|
{ |
|
"epoch": 2.79, |
|
"learning_rate": 0.00014426426426426427, |
|
"loss": 0.4128, |
|
"step": 930 |
|
}, |
|
{ |
|
"epoch": 2.82, |
|
"learning_rate": 0.00014366366366366367, |
|
"loss": 0.3812, |
|
"step": 940 |
|
}, |
|
{ |
|
"epoch": 2.85, |
|
"learning_rate": 0.00014306306306306307, |
|
"loss": 0.2912, |
|
"step": 950 |
|
}, |
|
{ |
|
"epoch": 2.88, |
|
"learning_rate": 0.00014246246246246247, |
|
"loss": 0.3563, |
|
"step": 960 |
|
}, |
|
{ |
|
"epoch": 2.91, |
|
"learning_rate": 0.00014186186186186187, |
|
"loss": 0.3287, |
|
"step": 970 |
|
}, |
|
{ |
|
"epoch": 2.94, |
|
"learning_rate": 0.00014126126126126127, |
|
"loss": 0.4866, |
|
"step": 980 |
|
}, |
|
{ |
|
"epoch": 2.97, |
|
"learning_rate": 0.00014066066066066067, |
|
"loss": 0.2232, |
|
"step": 990 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 0.00014006006006006007, |
|
"loss": 0.2012, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.9086078639744952, |
|
"eval_loss": 0.30601173639297485, |
|
"eval_runtime": 33.0716, |
|
"eval_samples_per_second": 28.453, |
|
"eval_steps_per_second": 3.568, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 3.03, |
|
"learning_rate": 0.00013945945945945947, |
|
"loss": 0.1947, |
|
"step": 1010 |
|
}, |
|
{ |
|
"epoch": 3.06, |
|
"learning_rate": 0.00013885885885885887, |
|
"loss": 0.3934, |
|
"step": 1020 |
|
}, |
|
{ |
|
"epoch": 3.09, |
|
"learning_rate": 0.00013825825825825827, |
|
"loss": 0.1187, |
|
"step": 1030 |
|
}, |
|
{ |
|
"epoch": 3.12, |
|
"learning_rate": 0.00013765765765765765, |
|
"loss": 0.236, |
|
"step": 1040 |
|
}, |
|
{ |
|
"epoch": 3.15, |
|
"learning_rate": 0.00013705705705705708, |
|
"loss": 0.2484, |
|
"step": 1050 |
|
}, |
|
{ |
|
"epoch": 3.18, |
|
"learning_rate": 0.00013645645645645645, |
|
"loss": 0.1168, |
|
"step": 1060 |
|
}, |
|
{ |
|
"epoch": 3.21, |
|
"learning_rate": 0.00013585585585585585, |
|
"loss": 0.1394, |
|
"step": 1070 |
|
}, |
|
{ |
|
"epoch": 3.24, |
|
"learning_rate": 0.00013525525525525525, |
|
"loss": 0.246, |
|
"step": 1080 |
|
}, |
|
{ |
|
"epoch": 3.27, |
|
"learning_rate": 0.00013465465465465465, |
|
"loss": 0.3722, |
|
"step": 1090 |
|
}, |
|
{ |
|
"epoch": 3.3, |
|
"learning_rate": 0.00013405405405405408, |
|
"loss": 0.2634, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 3.3, |
|
"eval_accuracy": 0.9086078639744952, |
|
"eval_loss": 0.34511974453926086, |
|
"eval_runtime": 32.7524, |
|
"eval_samples_per_second": 28.731, |
|
"eval_steps_per_second": 3.603, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 3.33, |
|
"learning_rate": 0.00013345345345345345, |
|
"loss": 0.2849, |
|
"step": 1110 |
|
}, |
|
{ |
|
"epoch": 3.36, |
|
"learning_rate": 0.00013285285285285285, |
|
"loss": 0.165, |
|
"step": 1120 |
|
}, |
|
{ |
|
"epoch": 3.39, |
|
"learning_rate": 0.00013225225225225226, |
|
"loss": 0.2819, |
|
"step": 1130 |
|
}, |
|
{ |
|
"epoch": 3.42, |
|
"learning_rate": 0.00013165165165165166, |
|
"loss": 0.2486, |
|
"step": 1140 |
|
}, |
|
{ |
|
"epoch": 3.45, |
|
"learning_rate": 0.00013105105105105106, |
|
"loss": 0.1947, |
|
"step": 1150 |
|
}, |
|
{ |
|
"epoch": 3.48, |
|
"learning_rate": 0.00013045045045045046, |
|
"loss": 0.1998, |
|
"step": 1160 |
|
}, |
|
{ |
|
"epoch": 3.51, |
|
"learning_rate": 0.00012984984984984986, |
|
"loss": 0.1896, |
|
"step": 1170 |
|
}, |
|
{ |
|
"epoch": 3.54, |
|
"learning_rate": 0.00012924924924924926, |
|
"loss": 0.1579, |
|
"step": 1180 |
|
}, |
|
{ |
|
"epoch": 3.57, |
|
"learning_rate": 0.00012864864864864866, |
|
"loss": 0.1477, |
|
"step": 1190 |
|
}, |
|
{ |
|
"epoch": 3.6, |
|
"learning_rate": 0.00012804804804804806, |
|
"loss": 0.2483, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 3.6, |
|
"eval_accuracy": 0.9043570669500531, |
|
"eval_loss": 0.35497206449508667, |
|
"eval_runtime": 32.9774, |
|
"eval_samples_per_second": 28.535, |
|
"eval_steps_per_second": 3.578, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 3.63, |
|
"learning_rate": 0.00012744744744744746, |
|
"loss": 0.2252, |
|
"step": 1210 |
|
}, |
|
{ |
|
"epoch": 3.66, |
|
"learning_rate": 0.00012684684684684684, |
|
"loss": 0.1764, |
|
"step": 1220 |
|
}, |
|
{ |
|
"epoch": 3.69, |
|
"learning_rate": 0.00012624624624624626, |
|
"loss": 0.2994, |
|
"step": 1230 |
|
}, |
|
{ |
|
"epoch": 3.72, |
|
"learning_rate": 0.00012564564564564564, |
|
"loss": 0.2404, |
|
"step": 1240 |
|
}, |
|
{ |
|
"epoch": 3.75, |
|
"learning_rate": 0.00012504504504504507, |
|
"loss": 0.1576, |
|
"step": 1250 |
|
}, |
|
{ |
|
"epoch": 3.78, |
|
"learning_rate": 0.00012444444444444444, |
|
"loss": 0.1595, |
|
"step": 1260 |
|
}, |
|
{ |
|
"epoch": 3.81, |
|
"learning_rate": 0.00012384384384384384, |
|
"loss": 0.2793, |
|
"step": 1270 |
|
}, |
|
{ |
|
"epoch": 3.84, |
|
"learning_rate": 0.00012324324324324327, |
|
"loss": 0.2766, |
|
"step": 1280 |
|
}, |
|
{ |
|
"epoch": 3.87, |
|
"learning_rate": 0.00012264264264264264, |
|
"loss": 0.1626, |
|
"step": 1290 |
|
}, |
|
{ |
|
"epoch": 3.9, |
|
"learning_rate": 0.00012204204204204204, |
|
"loss": 0.2273, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 3.9, |
|
"eval_accuracy": 0.9107332624867163, |
|
"eval_loss": 0.2977409064769745, |
|
"eval_runtime": 33.1212, |
|
"eval_samples_per_second": 28.411, |
|
"eval_steps_per_second": 3.563, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 3.93, |
|
"learning_rate": 0.00012144144144144144, |
|
"loss": 0.3854, |
|
"step": 1310 |
|
}, |
|
{ |
|
"epoch": 3.96, |
|
"learning_rate": 0.00012084084084084084, |
|
"loss": 0.326, |
|
"step": 1320 |
|
}, |
|
{ |
|
"epoch": 3.99, |
|
"learning_rate": 0.00012024024024024026, |
|
"loss": 0.1902, |
|
"step": 1330 |
|
}, |
|
{ |
|
"epoch": 4.02, |
|
"learning_rate": 0.00011963963963963965, |
|
"loss": 0.2819, |
|
"step": 1340 |
|
}, |
|
{ |
|
"epoch": 4.05, |
|
"learning_rate": 0.00011903903903903903, |
|
"loss": 0.0952, |
|
"step": 1350 |
|
}, |
|
{ |
|
"epoch": 4.08, |
|
"learning_rate": 0.00011843843843843845, |
|
"loss": 0.2189, |
|
"step": 1360 |
|
}, |
|
{ |
|
"epoch": 4.11, |
|
"learning_rate": 0.00011783783783783784, |
|
"loss": 0.1538, |
|
"step": 1370 |
|
}, |
|
{ |
|
"epoch": 4.14, |
|
"learning_rate": 0.00011723723723723725, |
|
"loss": 0.292, |
|
"step": 1380 |
|
}, |
|
{ |
|
"epoch": 4.17, |
|
"learning_rate": 0.00011663663663663664, |
|
"loss": 0.1944, |
|
"step": 1390 |
|
}, |
|
{ |
|
"epoch": 4.2, |
|
"learning_rate": 0.00011603603603603604, |
|
"loss": 0.1214, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 4.2, |
|
"eval_accuracy": 0.9160467587672688, |
|
"eval_loss": 0.3265420198440552, |
|
"eval_runtime": 32.8927, |
|
"eval_samples_per_second": 28.608, |
|
"eval_steps_per_second": 3.587, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 4.23, |
|
"learning_rate": 0.00011543543543543545, |
|
"loss": 0.1619, |
|
"step": 1410 |
|
}, |
|
{ |
|
"epoch": 4.26, |
|
"learning_rate": 0.00011483483483483484, |
|
"loss": 0.1994, |
|
"step": 1420 |
|
}, |
|
{ |
|
"epoch": 4.29, |
|
"learning_rate": 0.00011423423423423425, |
|
"loss": 0.1492, |
|
"step": 1430 |
|
}, |
|
{ |
|
"epoch": 4.32, |
|
"learning_rate": 0.00011363363363363364, |
|
"loss": 0.185, |
|
"step": 1440 |
|
}, |
|
{ |
|
"epoch": 4.35, |
|
"learning_rate": 0.00011303303303303303, |
|
"loss": 0.096, |
|
"step": 1450 |
|
}, |
|
{ |
|
"epoch": 4.38, |
|
"learning_rate": 0.00011243243243243244, |
|
"loss": 0.2023, |
|
"step": 1460 |
|
}, |
|
{ |
|
"epoch": 4.41, |
|
"learning_rate": 0.00011183183183183183, |
|
"loss": 0.172, |
|
"step": 1470 |
|
}, |
|
{ |
|
"epoch": 4.44, |
|
"learning_rate": 0.00011123123123123123, |
|
"loss": 0.2173, |
|
"step": 1480 |
|
}, |
|
{ |
|
"epoch": 4.47, |
|
"learning_rate": 0.00011063063063063063, |
|
"loss": 0.1906, |
|
"step": 1490 |
|
}, |
|
{ |
|
"epoch": 4.5, |
|
"learning_rate": 0.00011003003003003003, |
|
"loss": 0.2048, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 4.5, |
|
"eval_accuracy": 0.9213602550478215, |
|
"eval_loss": 0.31257954239845276, |
|
"eval_runtime": 33.0709, |
|
"eval_samples_per_second": 28.454, |
|
"eval_steps_per_second": 3.568, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 4.53, |
|
"learning_rate": 0.00010942942942942945, |
|
"loss": 0.1993, |
|
"step": 1510 |
|
}, |
|
{ |
|
"epoch": 4.56, |
|
"learning_rate": 0.00010882882882882883, |
|
"loss": 0.2563, |
|
"step": 1520 |
|
}, |
|
{ |
|
"epoch": 4.59, |
|
"learning_rate": 0.00010822822822822822, |
|
"loss": 0.1404, |
|
"step": 1530 |
|
}, |
|
{ |
|
"epoch": 4.62, |
|
"learning_rate": 0.00010762762762762764, |
|
"loss": 0.3455, |
|
"step": 1540 |
|
}, |
|
{ |
|
"epoch": 4.65, |
|
"learning_rate": 0.00010702702702702702, |
|
"loss": 0.1722, |
|
"step": 1550 |
|
}, |
|
{ |
|
"epoch": 4.68, |
|
"learning_rate": 0.00010642642642642644, |
|
"loss": 0.2154, |
|
"step": 1560 |
|
}, |
|
{ |
|
"epoch": 4.71, |
|
"learning_rate": 0.00010582582582582582, |
|
"loss": 0.1499, |
|
"step": 1570 |
|
}, |
|
{ |
|
"epoch": 4.74, |
|
"learning_rate": 0.00010522522522522523, |
|
"loss": 0.106, |
|
"step": 1580 |
|
}, |
|
{ |
|
"epoch": 4.77, |
|
"learning_rate": 0.00010462462462462464, |
|
"loss": 0.0827, |
|
"step": 1590 |
|
}, |
|
{ |
|
"epoch": 4.8, |
|
"learning_rate": 0.00010402402402402403, |
|
"loss": 0.0997, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 4.8, |
|
"eval_accuracy": 0.9160467587672688, |
|
"eval_loss": 0.3163708448410034, |
|
"eval_runtime": 32.9295, |
|
"eval_samples_per_second": 28.576, |
|
"eval_steps_per_second": 3.583, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 4.83, |
|
"learning_rate": 0.00010342342342342344, |
|
"loss": 0.2504, |
|
"step": 1610 |
|
}, |
|
{ |
|
"epoch": 4.86, |
|
"learning_rate": 0.00010282282282282283, |
|
"loss": 0.156, |
|
"step": 1620 |
|
}, |
|
{ |
|
"epoch": 4.89, |
|
"learning_rate": 0.00010222222222222222, |
|
"loss": 0.1835, |
|
"step": 1630 |
|
}, |
|
{ |
|
"epoch": 4.92, |
|
"learning_rate": 0.00010162162162162163, |
|
"loss": 0.2362, |
|
"step": 1640 |
|
}, |
|
{ |
|
"epoch": 4.95, |
|
"learning_rate": 0.00010102102102102102, |
|
"loss": 0.1598, |
|
"step": 1650 |
|
}, |
|
{ |
|
"epoch": 4.98, |
|
"learning_rate": 0.00010042042042042043, |
|
"loss": 0.1116, |
|
"step": 1660 |
|
}, |
|
{ |
|
"epoch": 5.02, |
|
"learning_rate": 9.981981981981983e-05, |
|
"loss": 0.0431, |
|
"step": 1670 |
|
}, |
|
{ |
|
"epoch": 5.05, |
|
"learning_rate": 9.921921921921923e-05, |
|
"loss": 0.2061, |
|
"step": 1680 |
|
}, |
|
{ |
|
"epoch": 5.08, |
|
"learning_rate": 9.861861861861862e-05, |
|
"loss": 0.117, |
|
"step": 1690 |
|
}, |
|
{ |
|
"epoch": 5.11, |
|
"learning_rate": 9.801801801801802e-05, |
|
"loss": 0.1145, |
|
"step": 1700 |
|
}, |
|
{ |
|
"epoch": 5.11, |
|
"eval_accuracy": 0.9139213602550478, |
|
"eval_loss": 0.30551373958587646, |
|
"eval_runtime": 32.9051, |
|
"eval_samples_per_second": 28.597, |
|
"eval_steps_per_second": 3.586, |
|
"step": 1700 |
|
}, |
|
{ |
|
"epoch": 5.14, |
|
"learning_rate": 9.741741741741742e-05, |
|
"loss": 0.1235, |
|
"step": 1710 |
|
}, |
|
{ |
|
"epoch": 5.17, |
|
"learning_rate": 9.681681681681682e-05, |
|
"loss": 0.0922, |
|
"step": 1720 |
|
}, |
|
{ |
|
"epoch": 5.2, |
|
"learning_rate": 9.621621621621622e-05, |
|
"loss": 0.2855, |
|
"step": 1730 |
|
}, |
|
{ |
|
"epoch": 5.23, |
|
"learning_rate": 9.561561561561561e-05, |
|
"loss": 0.1353, |
|
"step": 1740 |
|
}, |
|
{ |
|
"epoch": 5.26, |
|
"learning_rate": 9.501501501501501e-05, |
|
"loss": 0.098, |
|
"step": 1750 |
|
}, |
|
{ |
|
"epoch": 5.29, |
|
"learning_rate": 9.441441441441443e-05, |
|
"loss": 0.1862, |
|
"step": 1760 |
|
}, |
|
{ |
|
"epoch": 5.32, |
|
"learning_rate": 9.381381381381383e-05, |
|
"loss": 0.2086, |
|
"step": 1770 |
|
}, |
|
{ |
|
"epoch": 5.35, |
|
"learning_rate": 9.321321321321322e-05, |
|
"loss": 0.1683, |
|
"step": 1780 |
|
}, |
|
{ |
|
"epoch": 5.38, |
|
"learning_rate": 9.261261261261262e-05, |
|
"loss": 0.1101, |
|
"step": 1790 |
|
}, |
|
{ |
|
"epoch": 5.41, |
|
"learning_rate": 9.201201201201202e-05, |
|
"loss": 0.1578, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 5.41, |
|
"eval_accuracy": 0.9171094580233794, |
|
"eval_loss": 0.3195084035396576, |
|
"eval_runtime": 33.6527, |
|
"eval_samples_per_second": 27.962, |
|
"eval_steps_per_second": 3.506, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 5.44, |
|
"learning_rate": 9.141141141141142e-05, |
|
"loss": 0.2522, |
|
"step": 1810 |
|
}, |
|
{ |
|
"epoch": 5.47, |
|
"learning_rate": 9.081081081081082e-05, |
|
"loss": 0.0995, |
|
"step": 1820 |
|
}, |
|
{ |
|
"epoch": 5.5, |
|
"learning_rate": 9.02102102102102e-05, |
|
"loss": 0.1168, |
|
"step": 1830 |
|
}, |
|
{ |
|
"epoch": 5.53, |
|
"learning_rate": 8.96096096096096e-05, |
|
"loss": 0.17, |
|
"step": 1840 |
|
}, |
|
{ |
|
"epoch": 5.56, |
|
"learning_rate": 8.900900900900902e-05, |
|
"loss": 0.0545, |
|
"step": 1850 |
|
}, |
|
{ |
|
"epoch": 5.59, |
|
"learning_rate": 8.840840840840842e-05, |
|
"loss": 0.1607, |
|
"step": 1860 |
|
}, |
|
{ |
|
"epoch": 5.62, |
|
"learning_rate": 8.780780780780781e-05, |
|
"loss": 0.0549, |
|
"step": 1870 |
|
}, |
|
{ |
|
"epoch": 5.65, |
|
"learning_rate": 8.720720720720721e-05, |
|
"loss": 0.1503, |
|
"step": 1880 |
|
}, |
|
{ |
|
"epoch": 5.68, |
|
"learning_rate": 8.660660660660661e-05, |
|
"loss": 0.2044, |
|
"step": 1890 |
|
}, |
|
{ |
|
"epoch": 5.71, |
|
"learning_rate": 8.600600600600601e-05, |
|
"loss": 0.0615, |
|
"step": 1900 |
|
}, |
|
{ |
|
"epoch": 5.71, |
|
"eval_accuracy": 0.9107332624867163, |
|
"eval_loss": 0.3401225805282593, |
|
"eval_runtime": 33.1832, |
|
"eval_samples_per_second": 28.358, |
|
"eval_steps_per_second": 3.556, |
|
"step": 1900 |
|
}, |
|
{ |
|
"epoch": 5.74, |
|
"learning_rate": 8.540540540540541e-05, |
|
"loss": 0.1611, |
|
"step": 1910 |
|
}, |
|
{ |
|
"epoch": 5.77, |
|
"learning_rate": 8.48048048048048e-05, |
|
"loss": 0.1693, |
|
"step": 1920 |
|
}, |
|
{ |
|
"epoch": 5.8, |
|
"learning_rate": 8.42042042042042e-05, |
|
"loss": 0.079, |
|
"step": 1930 |
|
}, |
|
{ |
|
"epoch": 5.83, |
|
"learning_rate": 8.360360360360362e-05, |
|
"loss": 0.2182, |
|
"step": 1940 |
|
}, |
|
{ |
|
"epoch": 5.86, |
|
"learning_rate": 8.300300300300302e-05, |
|
"loss": 0.2156, |
|
"step": 1950 |
|
}, |
|
{ |
|
"epoch": 5.89, |
|
"learning_rate": 8.24024024024024e-05, |
|
"loss": 0.1422, |
|
"step": 1960 |
|
}, |
|
{ |
|
"epoch": 5.92, |
|
"learning_rate": 8.18018018018018e-05, |
|
"loss": 0.1465, |
|
"step": 1970 |
|
}, |
|
{ |
|
"epoch": 5.95, |
|
"learning_rate": 8.12012012012012e-05, |
|
"loss": 0.2347, |
|
"step": 1980 |
|
}, |
|
{ |
|
"epoch": 5.98, |
|
"learning_rate": 8.06006006006006e-05, |
|
"loss": 0.1994, |
|
"step": 1990 |
|
}, |
|
{ |
|
"epoch": 6.01, |
|
"learning_rate": 8e-05, |
|
"loss": 0.1537, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 6.01, |
|
"eval_accuracy": 0.9096705632306057, |
|
"eval_loss": 0.3427741527557373, |
|
"eval_runtime": 33.1728, |
|
"eval_samples_per_second": 28.367, |
|
"eval_steps_per_second": 3.557, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 6.04, |
|
"learning_rate": 7.93993993993994e-05, |
|
"loss": 0.1196, |
|
"step": 2010 |
|
}, |
|
{ |
|
"epoch": 6.07, |
|
"learning_rate": 7.87987987987988e-05, |
|
"loss": 0.1979, |
|
"step": 2020 |
|
}, |
|
{ |
|
"epoch": 6.1, |
|
"learning_rate": 7.819819819819821e-05, |
|
"loss": 0.123, |
|
"step": 2030 |
|
}, |
|
{ |
|
"epoch": 6.13, |
|
"learning_rate": 7.759759759759761e-05, |
|
"loss": 0.1802, |
|
"step": 2040 |
|
}, |
|
{ |
|
"epoch": 6.16, |
|
"learning_rate": 7.699699699699701e-05, |
|
"loss": 0.1126, |
|
"step": 2050 |
|
}, |
|
{ |
|
"epoch": 6.19, |
|
"learning_rate": 7.63963963963964e-05, |
|
"loss": 0.1223, |
|
"step": 2060 |
|
}, |
|
{ |
|
"epoch": 6.22, |
|
"learning_rate": 7.57957957957958e-05, |
|
"loss": 0.1536, |
|
"step": 2070 |
|
}, |
|
{ |
|
"epoch": 6.25, |
|
"learning_rate": 7.51951951951952e-05, |
|
"loss": 0.0856, |
|
"step": 2080 |
|
}, |
|
{ |
|
"epoch": 6.28, |
|
"learning_rate": 7.45945945945946e-05, |
|
"loss": 0.0928, |
|
"step": 2090 |
|
}, |
|
{ |
|
"epoch": 6.31, |
|
"learning_rate": 7.399399399399399e-05, |
|
"loss": 0.1278, |
|
"step": 2100 |
|
}, |
|
{ |
|
"epoch": 6.31, |
|
"eval_accuracy": 0.9192348565356004, |
|
"eval_loss": 0.3057916462421417, |
|
"eval_runtime": 32.9085, |
|
"eval_samples_per_second": 28.594, |
|
"eval_steps_per_second": 3.586, |
|
"step": 2100 |
|
}, |
|
{ |
|
"epoch": 6.34, |
|
"learning_rate": 7.339339339339339e-05, |
|
"loss": 0.1626, |
|
"step": 2110 |
|
}, |
|
{ |
|
"epoch": 6.37, |
|
"learning_rate": 7.27927927927928e-05, |
|
"loss": 0.1518, |
|
"step": 2120 |
|
}, |
|
{ |
|
"epoch": 6.4, |
|
"learning_rate": 7.21921921921922e-05, |
|
"loss": 0.1275, |
|
"step": 2130 |
|
}, |
|
{ |
|
"epoch": 6.43, |
|
"learning_rate": 7.15915915915916e-05, |
|
"loss": 0.1691, |
|
"step": 2140 |
|
}, |
|
{ |
|
"epoch": 6.46, |
|
"learning_rate": 7.099099099099099e-05, |
|
"loss": 0.0378, |
|
"step": 2150 |
|
}, |
|
{ |
|
"epoch": 6.49, |
|
"learning_rate": 7.039039039039039e-05, |
|
"loss": 0.0721, |
|
"step": 2160 |
|
}, |
|
{ |
|
"epoch": 6.52, |
|
"learning_rate": 6.97897897897898e-05, |
|
"loss": 0.116, |
|
"step": 2170 |
|
}, |
|
{ |
|
"epoch": 6.55, |
|
"learning_rate": 6.91891891891892e-05, |
|
"loss": 0.0625, |
|
"step": 2180 |
|
}, |
|
{ |
|
"epoch": 6.58, |
|
"learning_rate": 6.858858858858858e-05, |
|
"loss": 0.0699, |
|
"step": 2190 |
|
}, |
|
{ |
|
"epoch": 6.61, |
|
"learning_rate": 6.798798798798798e-05, |
|
"loss": 0.1274, |
|
"step": 2200 |
|
}, |
|
{ |
|
"epoch": 6.61, |
|
"eval_accuracy": 0.9192348565356004, |
|
"eval_loss": 0.3189365565776825, |
|
"eval_runtime": 32.9229, |
|
"eval_samples_per_second": 28.582, |
|
"eval_steps_per_second": 3.584, |
|
"step": 2200 |
|
}, |
|
{ |
|
"epoch": 6.64, |
|
"learning_rate": 6.73873873873874e-05, |
|
"loss": 0.0926, |
|
"step": 2210 |
|
}, |
|
{ |
|
"epoch": 6.67, |
|
"learning_rate": 6.67867867867868e-05, |
|
"loss": 0.0402, |
|
"step": 2220 |
|
}, |
|
{ |
|
"epoch": 6.7, |
|
"learning_rate": 6.61861861861862e-05, |
|
"loss": 0.2149, |
|
"step": 2230 |
|
}, |
|
{ |
|
"epoch": 6.73, |
|
"learning_rate": 6.558558558558559e-05, |
|
"loss": 0.2664, |
|
"step": 2240 |
|
}, |
|
{ |
|
"epoch": 6.76, |
|
"learning_rate": 6.498498498498499e-05, |
|
"loss": 0.1215, |
|
"step": 2250 |
|
}, |
|
{ |
|
"epoch": 6.79, |
|
"learning_rate": 6.438438438438439e-05, |
|
"loss": 0.0846, |
|
"step": 2260 |
|
}, |
|
{ |
|
"epoch": 6.82, |
|
"learning_rate": 6.378378378378379e-05, |
|
"loss": 0.0453, |
|
"step": 2270 |
|
}, |
|
{ |
|
"epoch": 6.85, |
|
"learning_rate": 6.318318318318318e-05, |
|
"loss": 0.122, |
|
"step": 2280 |
|
}, |
|
{ |
|
"epoch": 6.88, |
|
"learning_rate": 6.258258258258258e-05, |
|
"loss": 0.2334, |
|
"step": 2290 |
|
}, |
|
{ |
|
"epoch": 6.91, |
|
"learning_rate": 6.198198198198199e-05, |
|
"loss": 0.0877, |
|
"step": 2300 |
|
}, |
|
{ |
|
"epoch": 6.91, |
|
"eval_accuracy": 0.9181721572794899, |
|
"eval_loss": 0.33698955178260803, |
|
"eval_runtime": 33.8365, |
|
"eval_samples_per_second": 27.81, |
|
"eval_steps_per_second": 3.487, |
|
"step": 2300 |
|
}, |
|
{ |
|
"epoch": 6.94, |
|
"learning_rate": 6.138138138138139e-05, |
|
"loss": 0.1992, |
|
"step": 2310 |
|
}, |
|
{ |
|
"epoch": 6.97, |
|
"learning_rate": 6.0780780780780786e-05, |
|
"loss": 0.1207, |
|
"step": 2320 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"learning_rate": 6.018018018018018e-05, |
|
"loss": 0.231, |
|
"step": 2330 |
|
}, |
|
{ |
|
"epoch": 7.03, |
|
"learning_rate": 5.957957957957958e-05, |
|
"loss": 0.0674, |
|
"step": 2340 |
|
}, |
|
{ |
|
"epoch": 7.06, |
|
"learning_rate": 5.897897897897898e-05, |
|
"loss": 0.0818, |
|
"step": 2350 |
|
}, |
|
{ |
|
"epoch": 7.09, |
|
"learning_rate": 5.837837837837838e-05, |
|
"loss": 0.2289, |
|
"step": 2360 |
|
}, |
|
{ |
|
"epoch": 7.12, |
|
"learning_rate": 5.7777777777777776e-05, |
|
"loss": 0.0863, |
|
"step": 2370 |
|
}, |
|
{ |
|
"epoch": 7.15, |
|
"learning_rate": 5.717717717717718e-05, |
|
"loss": 0.1641, |
|
"step": 2380 |
|
}, |
|
{ |
|
"epoch": 7.18, |
|
"learning_rate": 5.657657657657658e-05, |
|
"loss": 0.0895, |
|
"step": 2390 |
|
}, |
|
{ |
|
"epoch": 7.21, |
|
"learning_rate": 5.597597597597598e-05, |
|
"loss": 0.1058, |
|
"step": 2400 |
|
}, |
|
{ |
|
"epoch": 7.21, |
|
"eval_accuracy": 0.9192348565356004, |
|
"eval_loss": 0.3225291967391968, |
|
"eval_runtime": 33.1868, |
|
"eval_samples_per_second": 28.355, |
|
"eval_steps_per_second": 3.556, |
|
"step": 2400 |
|
}, |
|
{ |
|
"epoch": 7.24, |
|
"learning_rate": 5.537537537537538e-05, |
|
"loss": 0.0884, |
|
"step": 2410 |
|
}, |
|
{ |
|
"epoch": 7.27, |
|
"learning_rate": 5.4774774774774774e-05, |
|
"loss": 0.1579, |
|
"step": 2420 |
|
}, |
|
{ |
|
"epoch": 7.3, |
|
"learning_rate": 5.4174174174174175e-05, |
|
"loss": 0.071, |
|
"step": 2430 |
|
}, |
|
{ |
|
"epoch": 7.33, |
|
"learning_rate": 5.3573573573573576e-05, |
|
"loss": 0.0217, |
|
"step": 2440 |
|
}, |
|
{ |
|
"epoch": 7.36, |
|
"learning_rate": 5.2972972972972976e-05, |
|
"loss": 0.0931, |
|
"step": 2450 |
|
}, |
|
{ |
|
"epoch": 7.39, |
|
"learning_rate": 5.237237237237238e-05, |
|
"loss": 0.1673, |
|
"step": 2460 |
|
}, |
|
{ |
|
"epoch": 7.42, |
|
"learning_rate": 5.177177177177177e-05, |
|
"loss": 0.1473, |
|
"step": 2470 |
|
}, |
|
{ |
|
"epoch": 7.45, |
|
"learning_rate": 5.117117117117117e-05, |
|
"loss": 0.1578, |
|
"step": 2480 |
|
}, |
|
{ |
|
"epoch": 7.48, |
|
"learning_rate": 5.063063063063064e-05, |
|
"loss": 0.1114, |
|
"step": 2490 |
|
}, |
|
{ |
|
"epoch": 7.51, |
|
"learning_rate": 5.003003003003003e-05, |
|
"loss": 0.1742, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 7.51, |
|
"eval_accuracy": 0.9213602550478215, |
|
"eval_loss": 0.3341035842895508, |
|
"eval_runtime": 33.4101, |
|
"eval_samples_per_second": 28.165, |
|
"eval_steps_per_second": 3.532, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 7.54, |
|
"learning_rate": 4.942942942942943e-05, |
|
"loss": 0.12, |
|
"step": 2510 |
|
}, |
|
{ |
|
"epoch": 7.57, |
|
"learning_rate": 4.882882882882883e-05, |
|
"loss": 0.1414, |
|
"step": 2520 |
|
}, |
|
{ |
|
"epoch": 7.6, |
|
"learning_rate": 4.822822822822823e-05, |
|
"loss": 0.1844, |
|
"step": 2530 |
|
}, |
|
{ |
|
"epoch": 7.63, |
|
"learning_rate": 4.762762762762763e-05, |
|
"loss": 0.1866, |
|
"step": 2540 |
|
}, |
|
{ |
|
"epoch": 7.66, |
|
"learning_rate": 4.7027027027027035e-05, |
|
"loss": 0.2651, |
|
"step": 2550 |
|
}, |
|
{ |
|
"epoch": 7.69, |
|
"learning_rate": 4.642642642642643e-05, |
|
"loss": 0.0861, |
|
"step": 2560 |
|
}, |
|
{ |
|
"epoch": 7.72, |
|
"learning_rate": 4.582582582582583e-05, |
|
"loss": 0.0685, |
|
"step": 2570 |
|
}, |
|
{ |
|
"epoch": 7.75, |
|
"learning_rate": 4.5225225225225224e-05, |
|
"loss": 0.0992, |
|
"step": 2580 |
|
}, |
|
{ |
|
"epoch": 7.78, |
|
"learning_rate": 4.4624624624624625e-05, |
|
"loss": 0.051, |
|
"step": 2590 |
|
}, |
|
{ |
|
"epoch": 7.81, |
|
"learning_rate": 4.4024024024024026e-05, |
|
"loss": 0.0949, |
|
"step": 2600 |
|
}, |
|
{ |
|
"epoch": 7.81, |
|
"eval_accuracy": 0.9256110520722636, |
|
"eval_loss": 0.3125704526901245, |
|
"eval_runtime": 33.5498, |
|
"eval_samples_per_second": 28.048, |
|
"eval_steps_per_second": 3.517, |
|
"step": 2600 |
|
}, |
|
{ |
|
"epoch": 7.84, |
|
"learning_rate": 4.342342342342343e-05, |
|
"loss": 0.0721, |
|
"step": 2610 |
|
}, |
|
{ |
|
"epoch": 7.87, |
|
"learning_rate": 4.282282282282282e-05, |
|
"loss": 0.2377, |
|
"step": 2620 |
|
}, |
|
{ |
|
"epoch": 7.9, |
|
"learning_rate": 4.222222222222222e-05, |
|
"loss": 0.1324, |
|
"step": 2630 |
|
}, |
|
{ |
|
"epoch": 7.93, |
|
"learning_rate": 4.162162162162163e-05, |
|
"loss": 0.1696, |
|
"step": 2640 |
|
}, |
|
{ |
|
"epoch": 7.96, |
|
"learning_rate": 4.102102102102102e-05, |
|
"loss": 0.1086, |
|
"step": 2650 |
|
}, |
|
{ |
|
"epoch": 7.99, |
|
"learning_rate": 4.0420420420420424e-05, |
|
"loss": 0.2007, |
|
"step": 2660 |
|
}, |
|
{ |
|
"epoch": 8.02, |
|
"learning_rate": 3.981981981981982e-05, |
|
"loss": 0.1377, |
|
"step": 2670 |
|
}, |
|
{ |
|
"epoch": 8.05, |
|
"learning_rate": 3.921921921921922e-05, |
|
"loss": 0.0684, |
|
"step": 2680 |
|
}, |
|
{ |
|
"epoch": 8.08, |
|
"learning_rate": 3.861861861861862e-05, |
|
"loss": 0.0386, |
|
"step": 2690 |
|
}, |
|
{ |
|
"epoch": 8.11, |
|
"learning_rate": 3.801801801801802e-05, |
|
"loss": 0.1732, |
|
"step": 2700 |
|
}, |
|
{ |
|
"epoch": 8.11, |
|
"eval_accuracy": 0.9234856535600425, |
|
"eval_loss": 0.30780139565467834, |
|
"eval_runtime": 32.9779, |
|
"eval_samples_per_second": 28.534, |
|
"eval_steps_per_second": 3.578, |
|
"step": 2700 |
|
}, |
|
{ |
|
"epoch": 8.14, |
|
"learning_rate": 3.741741741741742e-05, |
|
"loss": 0.0642, |
|
"step": 2710 |
|
}, |
|
{ |
|
"epoch": 8.17, |
|
"learning_rate": 3.6816816816816816e-05, |
|
"loss": 0.16, |
|
"step": 2720 |
|
}, |
|
{ |
|
"epoch": 8.2, |
|
"learning_rate": 3.621621621621622e-05, |
|
"loss": 0.0922, |
|
"step": 2730 |
|
}, |
|
{ |
|
"epoch": 8.23, |
|
"learning_rate": 3.561561561561562e-05, |
|
"loss": 0.0865, |
|
"step": 2740 |
|
}, |
|
{ |
|
"epoch": 8.26, |
|
"learning_rate": 3.501501501501502e-05, |
|
"loss": 0.1227, |
|
"step": 2750 |
|
}, |
|
{ |
|
"epoch": 8.29, |
|
"learning_rate": 3.441441441441441e-05, |
|
"loss": 0.0769, |
|
"step": 2760 |
|
}, |
|
{ |
|
"epoch": 8.32, |
|
"learning_rate": 3.381381381381381e-05, |
|
"loss": 0.1192, |
|
"step": 2770 |
|
}, |
|
{ |
|
"epoch": 8.35, |
|
"learning_rate": 3.3213213213213214e-05, |
|
"loss": 0.1045, |
|
"step": 2780 |
|
}, |
|
{ |
|
"epoch": 8.38, |
|
"learning_rate": 3.2612612612612615e-05, |
|
"loss": 0.1013, |
|
"step": 2790 |
|
}, |
|
{ |
|
"epoch": 8.41, |
|
"learning_rate": 3.2012012012012015e-05, |
|
"loss": 0.0894, |
|
"step": 2800 |
|
}, |
|
{ |
|
"epoch": 8.41, |
|
"eval_accuracy": 0.926673751328374, |
|
"eval_loss": 0.30979347229003906, |
|
"eval_runtime": 33.3735, |
|
"eval_samples_per_second": 28.196, |
|
"eval_steps_per_second": 3.536, |
|
"step": 2800 |
|
}, |
|
{ |
|
"epoch": 8.44, |
|
"learning_rate": 3.141141141141141e-05, |
|
"loss": 0.0846, |
|
"step": 2810 |
|
}, |
|
{ |
|
"epoch": 8.47, |
|
"learning_rate": 3.081081081081082e-05, |
|
"loss": 0.0786, |
|
"step": 2820 |
|
}, |
|
{ |
|
"epoch": 8.5, |
|
"learning_rate": 3.021021021021021e-05, |
|
"loss": 0.1076, |
|
"step": 2830 |
|
}, |
|
{ |
|
"epoch": 8.53, |
|
"learning_rate": 2.9609609609609612e-05, |
|
"loss": 0.0685, |
|
"step": 2840 |
|
}, |
|
{ |
|
"epoch": 8.56, |
|
"learning_rate": 2.900900900900901e-05, |
|
"loss": 0.0529, |
|
"step": 2850 |
|
}, |
|
{ |
|
"epoch": 8.59, |
|
"learning_rate": 2.840840840840841e-05, |
|
"loss": 0.1153, |
|
"step": 2860 |
|
}, |
|
{ |
|
"epoch": 8.62, |
|
"learning_rate": 2.7807807807807808e-05, |
|
"loss": 0.0839, |
|
"step": 2870 |
|
}, |
|
{ |
|
"epoch": 8.65, |
|
"learning_rate": 2.720720720720721e-05, |
|
"loss": 0.0996, |
|
"step": 2880 |
|
}, |
|
{ |
|
"epoch": 8.68, |
|
"learning_rate": 2.660660660660661e-05, |
|
"loss": 0.1005, |
|
"step": 2890 |
|
}, |
|
{ |
|
"epoch": 8.71, |
|
"learning_rate": 2.6006006006006007e-05, |
|
"loss": 0.1257, |
|
"step": 2900 |
|
}, |
|
{ |
|
"epoch": 8.71, |
|
"eval_accuracy": 0.9319872476089267, |
|
"eval_loss": 0.30299508571624756, |
|
"eval_runtime": 33.1081, |
|
"eval_samples_per_second": 28.422, |
|
"eval_steps_per_second": 3.564, |
|
"step": 2900 |
|
}, |
|
{ |
|
"epoch": 8.74, |
|
"learning_rate": 2.5405405405405408e-05, |
|
"loss": 0.16, |
|
"step": 2910 |
|
}, |
|
{ |
|
"epoch": 8.77, |
|
"learning_rate": 2.480480480480481e-05, |
|
"loss": 0.1078, |
|
"step": 2920 |
|
}, |
|
{ |
|
"epoch": 8.8, |
|
"learning_rate": 2.4204204204204206e-05, |
|
"loss": 0.0802, |
|
"step": 2930 |
|
}, |
|
{ |
|
"epoch": 8.83, |
|
"learning_rate": 2.3603603603603607e-05, |
|
"loss": 0.0342, |
|
"step": 2940 |
|
}, |
|
{ |
|
"epoch": 8.86, |
|
"learning_rate": 2.3003003003003004e-05, |
|
"loss": 0.2069, |
|
"step": 2950 |
|
}, |
|
{ |
|
"epoch": 8.89, |
|
"learning_rate": 2.24024024024024e-05, |
|
"loss": 0.0605, |
|
"step": 2960 |
|
}, |
|
{ |
|
"epoch": 8.92, |
|
"learning_rate": 2.1801801801801803e-05, |
|
"loss": 0.1067, |
|
"step": 2970 |
|
}, |
|
{ |
|
"epoch": 8.95, |
|
"learning_rate": 2.12012012012012e-05, |
|
"loss": 0.0894, |
|
"step": 2980 |
|
}, |
|
{ |
|
"epoch": 8.98, |
|
"learning_rate": 2.06006006006006e-05, |
|
"loss": 0.0995, |
|
"step": 2990 |
|
}, |
|
{ |
|
"epoch": 9.01, |
|
"learning_rate": 2e-05, |
|
"loss": 0.1747, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 9.01, |
|
"eval_accuracy": 0.9256110520722636, |
|
"eval_loss": 0.3105961084365845, |
|
"eval_runtime": 33.3236, |
|
"eval_samples_per_second": 28.238, |
|
"eval_steps_per_second": 3.541, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 9.04, |
|
"learning_rate": 1.9399399399399402e-05, |
|
"loss": 0.0942, |
|
"step": 3010 |
|
}, |
|
{ |
|
"epoch": 9.07, |
|
"learning_rate": 1.87987987987988e-05, |
|
"loss": 0.0607, |
|
"step": 3020 |
|
}, |
|
{ |
|
"epoch": 9.1, |
|
"learning_rate": 1.81981981981982e-05, |
|
"loss": 0.0353, |
|
"step": 3030 |
|
}, |
|
{ |
|
"epoch": 9.13, |
|
"learning_rate": 1.7597597597597598e-05, |
|
"loss": 0.0738, |
|
"step": 3040 |
|
}, |
|
{ |
|
"epoch": 9.16, |
|
"learning_rate": 1.6996996996996996e-05, |
|
"loss": 0.1516, |
|
"step": 3050 |
|
}, |
|
{ |
|
"epoch": 9.19, |
|
"learning_rate": 1.6396396396396396e-05, |
|
"loss": 0.0942, |
|
"step": 3060 |
|
}, |
|
{ |
|
"epoch": 9.22, |
|
"learning_rate": 1.5795795795795794e-05, |
|
"loss": 0.0873, |
|
"step": 3070 |
|
}, |
|
{ |
|
"epoch": 9.25, |
|
"learning_rate": 1.5195195195195196e-05, |
|
"loss": 0.1092, |
|
"step": 3080 |
|
}, |
|
{ |
|
"epoch": 9.28, |
|
"learning_rate": 1.4594594594594596e-05, |
|
"loss": 0.0645, |
|
"step": 3090 |
|
}, |
|
{ |
|
"epoch": 9.31, |
|
"learning_rate": 1.3993993993993995e-05, |
|
"loss": 0.2119, |
|
"step": 3100 |
|
}, |
|
{ |
|
"epoch": 9.31, |
|
"eval_accuracy": 0.9298618490967057, |
|
"eval_loss": 0.30373117327690125, |
|
"eval_runtime": 33.2692, |
|
"eval_samples_per_second": 28.284, |
|
"eval_steps_per_second": 3.547, |
|
"step": 3100 |
|
}, |
|
{ |
|
"epoch": 9.34, |
|
"learning_rate": 1.3393393393393394e-05, |
|
"loss": 0.0756, |
|
"step": 3110 |
|
}, |
|
{ |
|
"epoch": 9.37, |
|
"learning_rate": 1.2792792792792793e-05, |
|
"loss": 0.0866, |
|
"step": 3120 |
|
}, |
|
{ |
|
"epoch": 9.4, |
|
"learning_rate": 1.2192192192192192e-05, |
|
"loss": 0.043, |
|
"step": 3130 |
|
}, |
|
{ |
|
"epoch": 9.43, |
|
"learning_rate": 1.1591591591591593e-05, |
|
"loss": 0.0971, |
|
"step": 3140 |
|
}, |
|
{ |
|
"epoch": 9.46, |
|
"learning_rate": 1.0990990990990992e-05, |
|
"loss": 0.0594, |
|
"step": 3150 |
|
}, |
|
{ |
|
"epoch": 9.49, |
|
"learning_rate": 1.0390390390390391e-05, |
|
"loss": 0.0656, |
|
"step": 3160 |
|
}, |
|
{ |
|
"epoch": 9.52, |
|
"learning_rate": 9.78978978978979e-06, |
|
"loss": 0.0711, |
|
"step": 3170 |
|
}, |
|
{ |
|
"epoch": 9.55, |
|
"learning_rate": 9.18918918918919e-06, |
|
"loss": 0.1479, |
|
"step": 3180 |
|
}, |
|
{ |
|
"epoch": 9.58, |
|
"learning_rate": 8.588588588588589e-06, |
|
"loss": 0.1114, |
|
"step": 3190 |
|
}, |
|
{ |
|
"epoch": 9.61, |
|
"learning_rate": 7.987987987987988e-06, |
|
"loss": 0.1074, |
|
"step": 3200 |
|
}, |
|
{ |
|
"epoch": 9.61, |
|
"eval_accuracy": 0.9277364505844846, |
|
"eval_loss": 0.30486080050468445, |
|
"eval_runtime": 33.3497, |
|
"eval_samples_per_second": 28.216, |
|
"eval_steps_per_second": 3.538, |
|
"step": 3200 |
|
}, |
|
{ |
|
"epoch": 9.64, |
|
"learning_rate": 7.387387387387387e-06, |
|
"loss": 0.0991, |
|
"step": 3210 |
|
}, |
|
{ |
|
"epoch": 9.67, |
|
"learning_rate": 6.786786786786788e-06, |
|
"loss": 0.0901, |
|
"step": 3220 |
|
}, |
|
{ |
|
"epoch": 9.7, |
|
"learning_rate": 6.186186186186187e-06, |
|
"loss": 0.0995, |
|
"step": 3230 |
|
}, |
|
{ |
|
"epoch": 9.73, |
|
"learning_rate": 5.585585585585586e-06, |
|
"loss": 0.0859, |
|
"step": 3240 |
|
}, |
|
{ |
|
"epoch": 9.76, |
|
"learning_rate": 4.984984984984985e-06, |
|
"loss": 0.0628, |
|
"step": 3250 |
|
}, |
|
{ |
|
"epoch": 9.79, |
|
"learning_rate": 4.384384384384384e-06, |
|
"loss": 0.0797, |
|
"step": 3260 |
|
}, |
|
{ |
|
"epoch": 9.82, |
|
"learning_rate": 3.783783783783784e-06, |
|
"loss": 0.1148, |
|
"step": 3270 |
|
}, |
|
{ |
|
"epoch": 9.85, |
|
"learning_rate": 3.183183183183183e-06, |
|
"loss": 0.0777, |
|
"step": 3280 |
|
}, |
|
{ |
|
"epoch": 9.88, |
|
"learning_rate": 2.5825825825825827e-06, |
|
"loss": 0.0999, |
|
"step": 3290 |
|
}, |
|
{ |
|
"epoch": 9.91, |
|
"learning_rate": 1.981981981981982e-06, |
|
"loss": 0.1275, |
|
"step": 3300 |
|
}, |
|
{ |
|
"epoch": 9.91, |
|
"eval_accuracy": 0.9309245483528161, |
|
"eval_loss": 0.30457302927970886, |
|
"eval_runtime": 32.8441, |
|
"eval_samples_per_second": 28.65, |
|
"eval_steps_per_second": 3.593, |
|
"step": 3300 |
|
}, |
|
{ |
|
"epoch": 9.94, |
|
"learning_rate": 1.3813813813813816e-06, |
|
"loss": 0.0675, |
|
"step": 3310 |
|
}, |
|
{ |
|
"epoch": 9.97, |
|
"learning_rate": 7.807807807807808e-07, |
|
"loss": 0.059, |
|
"step": 3320 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"learning_rate": 1.801801801801802e-07, |
|
"loss": 0.0938, |
|
"step": 3330 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"step": 3330, |
|
"total_flos": 1.3394666639602483e+18, |
|
"train_loss": 0.2829396238287648, |
|
"train_runtime": 3129.5189, |
|
"train_samples_per_second": 17.025, |
|
"train_steps_per_second": 1.064 |
|
} |
|
], |
|
"max_steps": 3330, |
|
"num_train_epochs": 10, |
|
"total_flos": 1.3394666639602483e+18, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|