|
{ |
|
"best_metric": 0.2909798324108124, |
|
"best_model_checkpoint": "DrishtiSharma/finetuned-SwinT-Indian-Food-Classification-v3/checkpoint-3300", |
|
"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": 0.00019951951951951952, |
|
"loss": 2.6877, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.00019891891891891895, |
|
"loss": 1.414, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.00019831831831831833, |
|
"loss": 0.9319, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"learning_rate": 0.00019771771771771773, |
|
"loss": 0.7099, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"learning_rate": 0.00019711711711711713, |
|
"loss": 0.9566, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"learning_rate": 0.00019651651651651653, |
|
"loss": 0.8187, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"learning_rate": 0.000195975975975976, |
|
"loss": 0.8349, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"learning_rate": 0.0001953753753753754, |
|
"loss": 0.7547, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.27, |
|
"learning_rate": 0.0001947747747747748, |
|
"loss": 0.7049, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"learning_rate": 0.0001941741741741742, |
|
"loss": 0.9511, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"eval_accuracy": 0.8172157279489904, |
|
"eval_loss": 0.6092320680618286, |
|
"eval_runtime": 41.8655, |
|
"eval_samples_per_second": 22.477, |
|
"eval_steps_per_second": 2.819, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.33, |
|
"learning_rate": 0.00019357357357357356, |
|
"loss": 0.93, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"learning_rate": 0.000192972972972973, |
|
"loss": 0.7919, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.39, |
|
"learning_rate": 0.00019237237237237236, |
|
"loss": 0.7467, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 0.42, |
|
"learning_rate": 0.0001917717717717718, |
|
"loss": 0.6385, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.45, |
|
"learning_rate": 0.0001911711711711712, |
|
"loss": 0.6259, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"learning_rate": 0.00019057057057057057, |
|
"loss": 0.6855, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"learning_rate": 0.00018996996996997, |
|
"loss": 0.7514, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 0.54, |
|
"learning_rate": 0.00018936936936936937, |
|
"loss": 0.799, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 0.57, |
|
"learning_rate": 0.0001887687687687688, |
|
"loss": 0.7728, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"learning_rate": 0.00018816816816816817, |
|
"loss": 0.6214, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"eval_accuracy": 0.8671625929861849, |
|
"eval_loss": 0.4405747056007385, |
|
"eval_runtime": 42.025, |
|
"eval_samples_per_second": 22.391, |
|
"eval_steps_per_second": 2.808, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.63, |
|
"learning_rate": 0.00018756756756756757, |
|
"loss": 0.696, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 0.66, |
|
"learning_rate": 0.00018696696696696697, |
|
"loss": 0.8194, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 0.69, |
|
"learning_rate": 0.00018636636636636637, |
|
"loss": 0.6639, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 0.72, |
|
"learning_rate": 0.00018576576576576577, |
|
"loss": 0.6229, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 0.75, |
|
"learning_rate": 0.00018516516516516517, |
|
"loss": 0.598, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 0.78, |
|
"learning_rate": 0.00018456456456456458, |
|
"loss": 0.724, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"learning_rate": 0.00018396396396396398, |
|
"loss": 0.6808, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 0.84, |
|
"learning_rate": 0.00018336336336336338, |
|
"loss": 0.9956, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 0.87, |
|
"learning_rate": 0.00018276276276276275, |
|
"loss": 0.661, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"learning_rate": 0.00018216216216216218, |
|
"loss": 0.7355, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"eval_accuracy": 0.8926673751328374, |
|
"eval_loss": 0.3664906620979309, |
|
"eval_runtime": 41.8476, |
|
"eval_samples_per_second": 22.486, |
|
"eval_steps_per_second": 2.82, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.93, |
|
"learning_rate": 0.00018156156156156155, |
|
"loss": 0.7618, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"learning_rate": 0.00018102102102102104, |
|
"loss": 0.583, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 0.99, |
|
"learning_rate": 0.0001804204204204204, |
|
"loss": 0.4483, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"learning_rate": 0.00017981981981981984, |
|
"loss": 0.553, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 1.05, |
|
"learning_rate": 0.0001792192192192192, |
|
"loss": 0.6715, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 1.08, |
|
"learning_rate": 0.00017861861861861861, |
|
"loss": 0.4049, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 1.11, |
|
"learning_rate": 0.00017801801801801804, |
|
"loss": 0.2682, |
|
"step": 370 |
|
}, |
|
{ |
|
"epoch": 1.14, |
|
"learning_rate": 0.00017741741741741742, |
|
"loss": 0.6865, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 1.17, |
|
"learning_rate": 0.00017681681681681684, |
|
"loss": 0.6398, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"learning_rate": 0.00017621621621621622, |
|
"loss": 0.6078, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"eval_accuracy": 0.9064824654622742, |
|
"eval_loss": 0.3284536898136139, |
|
"eval_runtime": 42.3721, |
|
"eval_samples_per_second": 22.208, |
|
"eval_steps_per_second": 2.785, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 1.23, |
|
"learning_rate": 0.00017561561561561562, |
|
"loss": 0.4809, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 1.26, |
|
"learning_rate": 0.00017501501501501502, |
|
"loss": 0.4514, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 1.29, |
|
"learning_rate": 0.00017441441441441442, |
|
"loss": 0.4345, |
|
"step": 430 |
|
}, |
|
{ |
|
"epoch": 1.32, |
|
"learning_rate": 0.00017381381381381382, |
|
"loss": 0.6553, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 1.35, |
|
"learning_rate": 0.00017321321321321322, |
|
"loss": 0.509, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 1.38, |
|
"learning_rate": 0.00017261261261261262, |
|
"loss": 0.7415, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 1.41, |
|
"learning_rate": 0.00017201201201201202, |
|
"loss": 0.4097, |
|
"step": 470 |
|
}, |
|
{ |
|
"epoch": 1.44, |
|
"learning_rate": 0.00017141141141141142, |
|
"loss": 0.5408, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 1.47, |
|
"learning_rate": 0.00017081081081081083, |
|
"loss": 0.6177, |
|
"step": 490 |
|
}, |
|
{ |
|
"epoch": 1.5, |
|
"learning_rate": 0.00017021021021021023, |
|
"loss": 0.439, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 1.5, |
|
"eval_accuracy": 0.8916046758767269, |
|
"eval_loss": 0.3854953944683075, |
|
"eval_runtime": 42.0098, |
|
"eval_samples_per_second": 22.4, |
|
"eval_steps_per_second": 2.809, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 1.53, |
|
"learning_rate": 0.0001696096096096096, |
|
"loss": 0.5833, |
|
"step": 510 |
|
}, |
|
{ |
|
"epoch": 1.56, |
|
"learning_rate": 0.00016900900900900903, |
|
"loss": 0.5769, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 1.59, |
|
"learning_rate": 0.0001684084084084084, |
|
"loss": 0.6425, |
|
"step": 530 |
|
}, |
|
{ |
|
"epoch": 1.62, |
|
"learning_rate": 0.00016780780780780783, |
|
"loss": 0.5285, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 1.65, |
|
"learning_rate": 0.00016720720720720723, |
|
"loss": 0.3756, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 1.68, |
|
"learning_rate": 0.0001666066066066066, |
|
"loss": 0.5905, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 1.71, |
|
"learning_rate": 0.00016600600600600603, |
|
"loss": 0.5225, |
|
"step": 570 |
|
}, |
|
{ |
|
"epoch": 1.74, |
|
"learning_rate": 0.0001654054054054054, |
|
"loss": 0.3937, |
|
"step": 580 |
|
}, |
|
{ |
|
"epoch": 1.77, |
|
"learning_rate": 0.0001648048048048048, |
|
"loss": 0.6641, |
|
"step": 590 |
|
}, |
|
{ |
|
"epoch": 1.8, |
|
"learning_rate": 0.0001642042042042042, |
|
"loss": 0.3644, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 1.8, |
|
"eval_accuracy": 0.8969181721572795, |
|
"eval_loss": 0.40817153453826904, |
|
"eval_runtime": 42.2201, |
|
"eval_samples_per_second": 22.288, |
|
"eval_steps_per_second": 2.795, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 1.83, |
|
"learning_rate": 0.0001636036036036036, |
|
"loss": 0.3914, |
|
"step": 610 |
|
}, |
|
{ |
|
"epoch": 1.86, |
|
"learning_rate": 0.000163003003003003, |
|
"loss": 0.5051, |
|
"step": 620 |
|
}, |
|
{ |
|
"epoch": 1.89, |
|
"learning_rate": 0.0001624024024024024, |
|
"loss": 0.5306, |
|
"step": 630 |
|
}, |
|
{ |
|
"epoch": 1.92, |
|
"learning_rate": 0.0001618018018018018, |
|
"loss": 0.492, |
|
"step": 640 |
|
}, |
|
{ |
|
"epoch": 1.95, |
|
"learning_rate": 0.0001612012012012012, |
|
"loss": 0.4476, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 1.98, |
|
"learning_rate": 0.0001606006006006006, |
|
"loss": 0.5976, |
|
"step": 660 |
|
}, |
|
{ |
|
"epoch": 2.01, |
|
"learning_rate": 0.00016, |
|
"loss": 0.5336, |
|
"step": 670 |
|
}, |
|
{ |
|
"epoch": 2.04, |
|
"learning_rate": 0.00015939939939939941, |
|
"loss": 0.5416, |
|
"step": 680 |
|
}, |
|
{ |
|
"epoch": 2.07, |
|
"learning_rate": 0.0001587987987987988, |
|
"loss": 0.3908, |
|
"step": 690 |
|
}, |
|
{ |
|
"epoch": 2.1, |
|
"learning_rate": 0.00015819819819819822, |
|
"loss": 0.4748, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 2.1, |
|
"eval_accuracy": 0.9022316684378321, |
|
"eval_loss": 0.3496166467666626, |
|
"eval_runtime": 42.0671, |
|
"eval_samples_per_second": 22.369, |
|
"eval_steps_per_second": 2.805, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 2.13, |
|
"learning_rate": 0.0001575975975975976, |
|
"loss": 0.2206, |
|
"step": 710 |
|
}, |
|
{ |
|
"epoch": 2.16, |
|
"learning_rate": 0.00015699699699699702, |
|
"loss": 0.3733, |
|
"step": 720 |
|
}, |
|
{ |
|
"epoch": 2.19, |
|
"learning_rate": 0.00015639639639639642, |
|
"loss": 0.3506, |
|
"step": 730 |
|
}, |
|
{ |
|
"epoch": 2.22, |
|
"learning_rate": 0.0001557957957957958, |
|
"loss": 0.2672, |
|
"step": 740 |
|
}, |
|
{ |
|
"epoch": 2.25, |
|
"learning_rate": 0.00015519519519519522, |
|
"loss": 0.3588, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 2.28, |
|
"learning_rate": 0.0001545945945945946, |
|
"loss": 0.3908, |
|
"step": 760 |
|
}, |
|
{ |
|
"epoch": 2.31, |
|
"learning_rate": 0.00015399399399399402, |
|
"loss": 0.5611, |
|
"step": 770 |
|
}, |
|
{ |
|
"epoch": 2.34, |
|
"learning_rate": 0.0001533933933933934, |
|
"loss": 0.4638, |
|
"step": 780 |
|
}, |
|
{ |
|
"epoch": 2.37, |
|
"learning_rate": 0.0001527927927927928, |
|
"loss": 0.5441, |
|
"step": 790 |
|
}, |
|
{ |
|
"epoch": 2.4, |
|
"learning_rate": 0.0001521921921921922, |
|
"loss": 0.3966, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 2.4, |
|
"eval_accuracy": 0.8905419766206164, |
|
"eval_loss": 0.36262860894203186, |
|
"eval_runtime": 40.9458, |
|
"eval_samples_per_second": 22.982, |
|
"eval_steps_per_second": 2.882, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 2.43, |
|
"learning_rate": 0.0001515915915915916, |
|
"loss": 0.2038, |
|
"step": 810 |
|
}, |
|
{ |
|
"epoch": 2.46, |
|
"learning_rate": 0.000150990990990991, |
|
"loss": 0.3805, |
|
"step": 820 |
|
}, |
|
{ |
|
"epoch": 2.49, |
|
"learning_rate": 0.0001503903903903904, |
|
"loss": 0.395, |
|
"step": 830 |
|
}, |
|
{ |
|
"epoch": 2.52, |
|
"learning_rate": 0.0001497897897897898, |
|
"loss": 0.4266, |
|
"step": 840 |
|
}, |
|
{ |
|
"epoch": 2.55, |
|
"learning_rate": 0.0001491891891891892, |
|
"loss": 0.3128, |
|
"step": 850 |
|
}, |
|
{ |
|
"epoch": 2.58, |
|
"learning_rate": 0.0001485885885885886, |
|
"loss": 0.3916, |
|
"step": 860 |
|
}, |
|
{ |
|
"epoch": 2.61, |
|
"learning_rate": 0.00014798798798798798, |
|
"loss": 0.3253, |
|
"step": 870 |
|
}, |
|
{ |
|
"epoch": 2.64, |
|
"learning_rate": 0.0001473873873873874, |
|
"loss": 0.6879, |
|
"step": 880 |
|
}, |
|
{ |
|
"epoch": 2.67, |
|
"learning_rate": 0.00014678678678678678, |
|
"loss": 0.326, |
|
"step": 890 |
|
}, |
|
{ |
|
"epoch": 2.7, |
|
"learning_rate": 0.0001461861861861862, |
|
"loss": 0.5799, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 2.7, |
|
"eval_accuracy": 0.8767268862911796, |
|
"eval_loss": 0.4832826554775238, |
|
"eval_runtime": 42.1482, |
|
"eval_samples_per_second": 22.326, |
|
"eval_steps_per_second": 2.8, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 2.73, |
|
"learning_rate": 0.0001455855855855856, |
|
"loss": 0.4715, |
|
"step": 910 |
|
}, |
|
{ |
|
"epoch": 2.76, |
|
"learning_rate": 0.00014498498498498498, |
|
"loss": 0.4166, |
|
"step": 920 |
|
}, |
|
{ |
|
"epoch": 2.79, |
|
"learning_rate": 0.0001443843843843844, |
|
"loss": 0.6237, |
|
"step": 930 |
|
}, |
|
{ |
|
"epoch": 2.82, |
|
"learning_rate": 0.00014378378378378378, |
|
"loss": 0.5164, |
|
"step": 940 |
|
}, |
|
{ |
|
"epoch": 2.85, |
|
"learning_rate": 0.0001431831831831832, |
|
"loss": 0.3581, |
|
"step": 950 |
|
}, |
|
{ |
|
"epoch": 2.88, |
|
"learning_rate": 0.00014258258258258258, |
|
"loss": 0.3834, |
|
"step": 960 |
|
}, |
|
{ |
|
"epoch": 2.91, |
|
"learning_rate": 0.00014198198198198198, |
|
"loss": 0.2722, |
|
"step": 970 |
|
}, |
|
{ |
|
"epoch": 2.94, |
|
"learning_rate": 0.00014138138138138138, |
|
"loss": 0.6858, |
|
"step": 980 |
|
}, |
|
{ |
|
"epoch": 2.97, |
|
"learning_rate": 0.00014078078078078079, |
|
"loss": 0.4076, |
|
"step": 990 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 0.0001401801801801802, |
|
"loss": 0.2995, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.9043570669500531, |
|
"eval_loss": 0.33867305517196655, |
|
"eval_runtime": 42.1556, |
|
"eval_samples_per_second": 22.322, |
|
"eval_steps_per_second": 2.799, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 3.03, |
|
"learning_rate": 0.0001395795795795796, |
|
"loss": 0.2855, |
|
"step": 1010 |
|
}, |
|
{ |
|
"epoch": 3.06, |
|
"learning_rate": 0.000138978978978979, |
|
"loss": 0.4162, |
|
"step": 1020 |
|
}, |
|
{ |
|
"epoch": 3.09, |
|
"learning_rate": 0.0001383783783783784, |
|
"loss": 0.1903, |
|
"step": 1030 |
|
}, |
|
{ |
|
"epoch": 3.12, |
|
"learning_rate": 0.0001377777777777778, |
|
"loss": 0.3357, |
|
"step": 1040 |
|
}, |
|
{ |
|
"epoch": 3.15, |
|
"learning_rate": 0.00013717717717717716, |
|
"loss": 0.444, |
|
"step": 1050 |
|
}, |
|
{ |
|
"epoch": 3.18, |
|
"learning_rate": 0.0001365765765765766, |
|
"loss": 0.2977, |
|
"step": 1060 |
|
}, |
|
{ |
|
"epoch": 3.21, |
|
"learning_rate": 0.00013597597597597597, |
|
"loss": 0.2442, |
|
"step": 1070 |
|
}, |
|
{ |
|
"epoch": 3.24, |
|
"learning_rate": 0.0001353753753753754, |
|
"loss": 0.369, |
|
"step": 1080 |
|
}, |
|
{ |
|
"epoch": 3.27, |
|
"learning_rate": 0.0001347747747747748, |
|
"loss": 0.377, |
|
"step": 1090 |
|
}, |
|
{ |
|
"epoch": 3.3, |
|
"learning_rate": 0.00013417417417417417, |
|
"loss": 0.3152, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 3.3, |
|
"eval_accuracy": 0.9096705632306057, |
|
"eval_loss": 0.37393638491630554, |
|
"eval_runtime": 43.1022, |
|
"eval_samples_per_second": 21.832, |
|
"eval_steps_per_second": 2.738, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 3.33, |
|
"learning_rate": 0.0001335735735735736, |
|
"loss": 0.4133, |
|
"step": 1110 |
|
}, |
|
{ |
|
"epoch": 3.36, |
|
"learning_rate": 0.00013297297297297297, |
|
"loss": 0.2448, |
|
"step": 1120 |
|
}, |
|
{ |
|
"epoch": 3.39, |
|
"learning_rate": 0.0001323723723723724, |
|
"loss": 0.4011, |
|
"step": 1130 |
|
}, |
|
{ |
|
"epoch": 3.42, |
|
"learning_rate": 0.00013177177177177177, |
|
"loss": 0.3495, |
|
"step": 1140 |
|
}, |
|
{ |
|
"epoch": 3.45, |
|
"learning_rate": 0.00013117117117117117, |
|
"loss": 0.3656, |
|
"step": 1150 |
|
}, |
|
{ |
|
"epoch": 3.48, |
|
"learning_rate": 0.00013057057057057057, |
|
"loss": 0.3285, |
|
"step": 1160 |
|
}, |
|
{ |
|
"epoch": 3.51, |
|
"learning_rate": 0.00012996996996996997, |
|
"loss": 0.1904, |
|
"step": 1170 |
|
}, |
|
{ |
|
"epoch": 3.54, |
|
"learning_rate": 0.00012936936936936937, |
|
"loss": 0.3852, |
|
"step": 1180 |
|
}, |
|
{ |
|
"epoch": 3.57, |
|
"learning_rate": 0.00012876876876876878, |
|
"loss": 0.2966, |
|
"step": 1190 |
|
}, |
|
{ |
|
"epoch": 3.6, |
|
"learning_rate": 0.00012816816816816818, |
|
"loss": 0.3284, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 3.6, |
|
"eval_accuracy": 0.8916046758767269, |
|
"eval_loss": 0.4216819107532501, |
|
"eval_runtime": 43.8685, |
|
"eval_samples_per_second": 21.45, |
|
"eval_steps_per_second": 2.69, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 3.63, |
|
"learning_rate": 0.00012756756756756758, |
|
"loss": 0.3911, |
|
"step": 1210 |
|
}, |
|
{ |
|
"epoch": 3.66, |
|
"learning_rate": 0.00012696696696696698, |
|
"loss": 0.2183, |
|
"step": 1220 |
|
}, |
|
{ |
|
"epoch": 3.69, |
|
"learning_rate": 0.00012636636636636635, |
|
"loss": 0.4146, |
|
"step": 1230 |
|
}, |
|
{ |
|
"epoch": 3.72, |
|
"learning_rate": 0.00012576576576576578, |
|
"loss": 0.4245, |
|
"step": 1240 |
|
}, |
|
{ |
|
"epoch": 3.75, |
|
"learning_rate": 0.00012516516516516515, |
|
"loss": 0.2051, |
|
"step": 1250 |
|
}, |
|
{ |
|
"epoch": 3.78, |
|
"learning_rate": 0.00012456456456456458, |
|
"loss": 0.2955, |
|
"step": 1260 |
|
}, |
|
{ |
|
"epoch": 3.81, |
|
"learning_rate": 0.00012396396396396398, |
|
"loss": 0.3594, |
|
"step": 1270 |
|
}, |
|
{ |
|
"epoch": 3.84, |
|
"learning_rate": 0.00012336336336336336, |
|
"loss": 0.4109, |
|
"step": 1280 |
|
}, |
|
{ |
|
"epoch": 3.87, |
|
"learning_rate": 0.00012276276276276278, |
|
"loss": 0.2371, |
|
"step": 1290 |
|
}, |
|
{ |
|
"epoch": 3.9, |
|
"learning_rate": 0.00012216216216216216, |
|
"loss": 0.3631, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 3.9, |
|
"eval_accuracy": 0.9043570669500531, |
|
"eval_loss": 0.41184473037719727, |
|
"eval_runtime": 41.3527, |
|
"eval_samples_per_second": 22.755, |
|
"eval_steps_per_second": 2.854, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 3.93, |
|
"learning_rate": 0.00012156156156156157, |
|
"loss": 0.4564, |
|
"step": 1310 |
|
}, |
|
{ |
|
"epoch": 3.96, |
|
"learning_rate": 0.00012096096096096097, |
|
"loss": 0.4595, |
|
"step": 1320 |
|
}, |
|
{ |
|
"epoch": 3.99, |
|
"learning_rate": 0.00012036036036036036, |
|
"loss": 0.3554, |
|
"step": 1330 |
|
}, |
|
{ |
|
"epoch": 4.02, |
|
"learning_rate": 0.00011975975975975977, |
|
"loss": 0.4029, |
|
"step": 1340 |
|
}, |
|
{ |
|
"epoch": 4.05, |
|
"learning_rate": 0.00011915915915915916, |
|
"loss": 0.2339, |
|
"step": 1350 |
|
}, |
|
{ |
|
"epoch": 4.08, |
|
"learning_rate": 0.00011855855855855858, |
|
"loss": 0.2711, |
|
"step": 1360 |
|
}, |
|
{ |
|
"epoch": 4.11, |
|
"learning_rate": 0.00011795795795795796, |
|
"loss": 0.2034, |
|
"step": 1370 |
|
}, |
|
{ |
|
"epoch": 4.14, |
|
"learning_rate": 0.00011735735735735735, |
|
"loss": 0.4796, |
|
"step": 1380 |
|
}, |
|
{ |
|
"epoch": 4.17, |
|
"learning_rate": 0.00011675675675675676, |
|
"loss": 0.2313, |
|
"step": 1390 |
|
}, |
|
{ |
|
"epoch": 4.2, |
|
"learning_rate": 0.00011615615615615617, |
|
"loss": 0.219, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 4.2, |
|
"eval_accuracy": 0.9139213602550478, |
|
"eval_loss": 0.37211018800735474, |
|
"eval_runtime": 42.0279, |
|
"eval_samples_per_second": 22.39, |
|
"eval_steps_per_second": 2.808, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 4.23, |
|
"learning_rate": 0.00011555555555555555, |
|
"loss": 0.224, |
|
"step": 1410 |
|
}, |
|
{ |
|
"epoch": 4.26, |
|
"learning_rate": 0.00011495495495495497, |
|
"loss": 0.2262, |
|
"step": 1420 |
|
}, |
|
{ |
|
"epoch": 4.29, |
|
"learning_rate": 0.00011435435435435435, |
|
"loss": 0.2165, |
|
"step": 1430 |
|
}, |
|
{ |
|
"epoch": 4.32, |
|
"learning_rate": 0.00011375375375375377, |
|
"loss": 0.2617, |
|
"step": 1440 |
|
}, |
|
{ |
|
"epoch": 4.35, |
|
"learning_rate": 0.00011315315315315316, |
|
"loss": 0.1725, |
|
"step": 1450 |
|
}, |
|
{ |
|
"epoch": 4.38, |
|
"learning_rate": 0.00011255255255255254, |
|
"loss": 0.2667, |
|
"step": 1460 |
|
}, |
|
{ |
|
"epoch": 4.41, |
|
"learning_rate": 0.00011195195195195196, |
|
"loss": 0.506, |
|
"step": 1470 |
|
}, |
|
{ |
|
"epoch": 4.44, |
|
"learning_rate": 0.00011135135135135135, |
|
"loss": 0.4481, |
|
"step": 1480 |
|
}, |
|
{ |
|
"epoch": 4.47, |
|
"learning_rate": 0.00011075075075075076, |
|
"loss": 0.3483, |
|
"step": 1490 |
|
}, |
|
{ |
|
"epoch": 4.5, |
|
"learning_rate": 0.00011015015015015016, |
|
"loss": 0.2874, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 4.5, |
|
"eval_accuracy": 0.9287991498405951, |
|
"eval_loss": 0.30303552746772766, |
|
"eval_runtime": 41.8473, |
|
"eval_samples_per_second": 22.487, |
|
"eval_steps_per_second": 2.82, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 4.53, |
|
"learning_rate": 0.00010954954954954955, |
|
"loss": 0.3234, |
|
"step": 1510 |
|
}, |
|
{ |
|
"epoch": 4.56, |
|
"learning_rate": 0.00010894894894894896, |
|
"loss": 0.3609, |
|
"step": 1520 |
|
}, |
|
{ |
|
"epoch": 4.59, |
|
"learning_rate": 0.00010834834834834835, |
|
"loss": 0.2809, |
|
"step": 1530 |
|
}, |
|
{ |
|
"epoch": 4.62, |
|
"learning_rate": 0.00010774774774774776, |
|
"loss": 0.2844, |
|
"step": 1540 |
|
}, |
|
{ |
|
"epoch": 4.65, |
|
"learning_rate": 0.00010714714714714715, |
|
"loss": 0.2682, |
|
"step": 1550 |
|
}, |
|
{ |
|
"epoch": 4.68, |
|
"learning_rate": 0.00010654654654654654, |
|
"loss": 0.257, |
|
"step": 1560 |
|
}, |
|
{ |
|
"epoch": 4.71, |
|
"learning_rate": 0.00010594594594594595, |
|
"loss": 0.1629, |
|
"step": 1570 |
|
}, |
|
{ |
|
"epoch": 4.74, |
|
"learning_rate": 0.00010534534534534535, |
|
"loss": 0.3236, |
|
"step": 1580 |
|
}, |
|
{ |
|
"epoch": 4.77, |
|
"learning_rate": 0.00010474474474474475, |
|
"loss": 0.1371, |
|
"step": 1590 |
|
}, |
|
{ |
|
"epoch": 4.8, |
|
"learning_rate": 0.00010414414414414416, |
|
"loss": 0.2819, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 4.8, |
|
"eval_accuracy": 0.9149840595111584, |
|
"eval_loss": 0.40561917424201965, |
|
"eval_runtime": 42.3715, |
|
"eval_samples_per_second": 22.208, |
|
"eval_steps_per_second": 2.785, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 4.83, |
|
"learning_rate": 0.00010354354354354354, |
|
"loss": 0.3263, |
|
"step": 1610 |
|
}, |
|
{ |
|
"epoch": 4.86, |
|
"learning_rate": 0.00010294294294294296, |
|
"loss": 0.1687, |
|
"step": 1620 |
|
}, |
|
{ |
|
"epoch": 4.89, |
|
"learning_rate": 0.00010234234234234234, |
|
"loss": 0.2958, |
|
"step": 1630 |
|
}, |
|
{ |
|
"epoch": 4.92, |
|
"learning_rate": 0.00010174174174174173, |
|
"loss": 0.4361, |
|
"step": 1640 |
|
}, |
|
{ |
|
"epoch": 4.95, |
|
"learning_rate": 0.00010114114114114115, |
|
"loss": 0.3248, |
|
"step": 1650 |
|
}, |
|
{ |
|
"epoch": 4.98, |
|
"learning_rate": 0.00010054054054054053, |
|
"loss": 0.3016, |
|
"step": 1660 |
|
}, |
|
{ |
|
"epoch": 5.02, |
|
"learning_rate": 9.993993993993995e-05, |
|
"loss": 0.1838, |
|
"step": 1670 |
|
}, |
|
{ |
|
"epoch": 5.05, |
|
"learning_rate": 9.933933933933935e-05, |
|
"loss": 0.2782, |
|
"step": 1680 |
|
}, |
|
{ |
|
"epoch": 5.08, |
|
"learning_rate": 9.873873873873875e-05, |
|
"loss": 0.148, |
|
"step": 1690 |
|
}, |
|
{ |
|
"epoch": 5.11, |
|
"learning_rate": 9.813813813813815e-05, |
|
"loss": 0.1755, |
|
"step": 1700 |
|
}, |
|
{ |
|
"epoch": 5.11, |
|
"eval_accuracy": 0.9096705632306057, |
|
"eval_loss": 0.40392687916755676, |
|
"eval_runtime": 41.1675, |
|
"eval_samples_per_second": 22.858, |
|
"eval_steps_per_second": 2.866, |
|
"step": 1700 |
|
}, |
|
{ |
|
"epoch": 5.14, |
|
"learning_rate": 9.753753753753754e-05, |
|
"loss": 0.1787, |
|
"step": 1710 |
|
}, |
|
{ |
|
"epoch": 5.17, |
|
"learning_rate": 9.693693693693694e-05, |
|
"loss": 0.161, |
|
"step": 1720 |
|
}, |
|
{ |
|
"epoch": 5.2, |
|
"learning_rate": 9.633633633633634e-05, |
|
"loss": 0.3622, |
|
"step": 1730 |
|
}, |
|
{ |
|
"epoch": 5.23, |
|
"learning_rate": 9.573573573573574e-05, |
|
"loss": 0.2815, |
|
"step": 1740 |
|
}, |
|
{ |
|
"epoch": 5.26, |
|
"learning_rate": 9.513513513513514e-05, |
|
"loss": 0.206, |
|
"step": 1750 |
|
}, |
|
{ |
|
"epoch": 5.29, |
|
"learning_rate": 9.453453453453454e-05, |
|
"loss": 0.277, |
|
"step": 1760 |
|
}, |
|
{ |
|
"epoch": 5.32, |
|
"learning_rate": 9.393393393393394e-05, |
|
"loss": 0.2796, |
|
"step": 1770 |
|
}, |
|
{ |
|
"epoch": 5.35, |
|
"learning_rate": 9.333333333333334e-05, |
|
"loss": 0.2123, |
|
"step": 1780 |
|
}, |
|
{ |
|
"epoch": 5.38, |
|
"learning_rate": 9.273273273273274e-05, |
|
"loss": 0.2877, |
|
"step": 1790 |
|
}, |
|
{ |
|
"epoch": 5.41, |
|
"learning_rate": 9.213213213213213e-05, |
|
"loss": 0.2462, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 5.41, |
|
"eval_accuracy": 0.9117959617428267, |
|
"eval_loss": 0.35504746437072754, |
|
"eval_runtime": 42.4152, |
|
"eval_samples_per_second": 22.185, |
|
"eval_steps_per_second": 2.782, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 5.44, |
|
"learning_rate": 9.153153153153153e-05, |
|
"loss": 0.2847, |
|
"step": 1810 |
|
}, |
|
{ |
|
"epoch": 5.47, |
|
"learning_rate": 9.093093093093093e-05, |
|
"loss": 0.1655, |
|
"step": 1820 |
|
}, |
|
{ |
|
"epoch": 5.5, |
|
"learning_rate": 9.033033033033033e-05, |
|
"loss": 0.168, |
|
"step": 1830 |
|
}, |
|
{ |
|
"epoch": 5.53, |
|
"learning_rate": 8.972972972972973e-05, |
|
"loss": 0.2172, |
|
"step": 1840 |
|
}, |
|
{ |
|
"epoch": 5.56, |
|
"learning_rate": 8.912912912912914e-05, |
|
"loss": 0.1425, |
|
"step": 1850 |
|
}, |
|
{ |
|
"epoch": 5.59, |
|
"learning_rate": 8.852852852852854e-05, |
|
"loss": 0.2147, |
|
"step": 1860 |
|
}, |
|
{ |
|
"epoch": 5.62, |
|
"learning_rate": 8.792792792792794e-05, |
|
"loss": 0.2172, |
|
"step": 1870 |
|
}, |
|
{ |
|
"epoch": 5.65, |
|
"learning_rate": 8.732732732732734e-05, |
|
"loss": 0.1565, |
|
"step": 1880 |
|
}, |
|
{ |
|
"epoch": 5.68, |
|
"learning_rate": 8.672672672672673e-05, |
|
"loss": 0.2442, |
|
"step": 1890 |
|
}, |
|
{ |
|
"epoch": 5.71, |
|
"learning_rate": 8.612612612612613e-05, |
|
"loss": 0.1737, |
|
"step": 1900 |
|
}, |
|
{ |
|
"epoch": 5.71, |
|
"eval_accuracy": 0.9149840595111584, |
|
"eval_loss": 0.34443262219429016, |
|
"eval_runtime": 42.7483, |
|
"eval_samples_per_second": 22.013, |
|
"eval_steps_per_second": 2.76, |
|
"step": 1900 |
|
}, |
|
{ |
|
"epoch": 5.74, |
|
"learning_rate": 8.552552552552553e-05, |
|
"loss": 0.1837, |
|
"step": 1910 |
|
}, |
|
{ |
|
"epoch": 5.77, |
|
"learning_rate": 8.492492492492493e-05, |
|
"loss": 0.1993, |
|
"step": 1920 |
|
}, |
|
{ |
|
"epoch": 5.8, |
|
"learning_rate": 8.432432432432433e-05, |
|
"loss": 0.1556, |
|
"step": 1930 |
|
}, |
|
{ |
|
"epoch": 5.83, |
|
"learning_rate": 8.372372372372373e-05, |
|
"loss": 0.188, |
|
"step": 1940 |
|
}, |
|
{ |
|
"epoch": 5.86, |
|
"learning_rate": 8.312312312312313e-05, |
|
"loss": 0.299, |
|
"step": 1950 |
|
}, |
|
{ |
|
"epoch": 5.89, |
|
"learning_rate": 8.252252252252253e-05, |
|
"loss": 0.1826, |
|
"step": 1960 |
|
}, |
|
{ |
|
"epoch": 5.92, |
|
"learning_rate": 8.192192192192193e-05, |
|
"loss": 0.2584, |
|
"step": 1970 |
|
}, |
|
{ |
|
"epoch": 5.95, |
|
"learning_rate": 8.132132132132132e-05, |
|
"loss": 0.1874, |
|
"step": 1980 |
|
}, |
|
{ |
|
"epoch": 5.98, |
|
"learning_rate": 8.072072072072072e-05, |
|
"loss": 0.2002, |
|
"step": 1990 |
|
}, |
|
{ |
|
"epoch": 6.01, |
|
"learning_rate": 8.012012012012012e-05, |
|
"loss": 0.174, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 6.01, |
|
"eval_accuracy": 0.9160467587672688, |
|
"eval_loss": 0.3666709363460541, |
|
"eval_runtime": 42.6208, |
|
"eval_samples_per_second": 22.078, |
|
"eval_steps_per_second": 2.769, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 6.04, |
|
"learning_rate": 7.951951951951952e-05, |
|
"loss": 0.1239, |
|
"step": 2010 |
|
}, |
|
{ |
|
"epoch": 6.07, |
|
"learning_rate": 7.891891891891892e-05, |
|
"loss": 0.2739, |
|
"step": 2020 |
|
}, |
|
{ |
|
"epoch": 6.1, |
|
"learning_rate": 7.831831831831832e-05, |
|
"loss": 0.1614, |
|
"step": 2030 |
|
}, |
|
{ |
|
"epoch": 6.13, |
|
"learning_rate": 7.771771771771772e-05, |
|
"loss": 0.2269, |
|
"step": 2040 |
|
}, |
|
{ |
|
"epoch": 6.16, |
|
"learning_rate": 7.711711711711713e-05, |
|
"loss": 0.1065, |
|
"step": 2050 |
|
}, |
|
{ |
|
"epoch": 6.19, |
|
"learning_rate": 7.651651651651653e-05, |
|
"loss": 0.1147, |
|
"step": 2060 |
|
}, |
|
{ |
|
"epoch": 6.22, |
|
"learning_rate": 7.591591591591593e-05, |
|
"loss": 0.203, |
|
"step": 2070 |
|
}, |
|
{ |
|
"epoch": 6.25, |
|
"learning_rate": 7.531531531531531e-05, |
|
"loss": 0.1332, |
|
"step": 2080 |
|
}, |
|
{ |
|
"epoch": 6.28, |
|
"learning_rate": 7.471471471471471e-05, |
|
"loss": 0.1617, |
|
"step": 2090 |
|
}, |
|
{ |
|
"epoch": 6.31, |
|
"learning_rate": 7.411411411411412e-05, |
|
"loss": 0.1536, |
|
"step": 2100 |
|
}, |
|
{ |
|
"epoch": 6.31, |
|
"eval_accuracy": 0.9287991498405951, |
|
"eval_loss": 0.33007681369781494, |
|
"eval_runtime": 42.7421, |
|
"eval_samples_per_second": 22.016, |
|
"eval_steps_per_second": 2.761, |
|
"step": 2100 |
|
}, |
|
{ |
|
"epoch": 6.34, |
|
"learning_rate": 7.351351351351352e-05, |
|
"loss": 0.1875, |
|
"step": 2110 |
|
}, |
|
{ |
|
"epoch": 6.37, |
|
"learning_rate": 7.291291291291292e-05, |
|
"loss": 0.1985, |
|
"step": 2120 |
|
}, |
|
{ |
|
"epoch": 6.4, |
|
"learning_rate": 7.231231231231232e-05, |
|
"loss": 0.1353, |
|
"step": 2130 |
|
}, |
|
{ |
|
"epoch": 6.43, |
|
"learning_rate": 7.171171171171172e-05, |
|
"loss": 0.3048, |
|
"step": 2140 |
|
}, |
|
{ |
|
"epoch": 6.46, |
|
"learning_rate": 7.111111111111112e-05, |
|
"loss": 0.1192, |
|
"step": 2150 |
|
}, |
|
{ |
|
"epoch": 6.49, |
|
"learning_rate": 7.051051051051052e-05, |
|
"loss": 0.1597, |
|
"step": 2160 |
|
}, |
|
{ |
|
"epoch": 6.52, |
|
"learning_rate": 6.990990990990991e-05, |
|
"loss": 0.1847, |
|
"step": 2170 |
|
}, |
|
{ |
|
"epoch": 6.55, |
|
"learning_rate": 6.930930930930931e-05, |
|
"loss": 0.1219, |
|
"step": 2180 |
|
}, |
|
{ |
|
"epoch": 6.58, |
|
"learning_rate": 6.870870870870871e-05, |
|
"loss": 0.1896, |
|
"step": 2190 |
|
}, |
|
{ |
|
"epoch": 6.61, |
|
"learning_rate": 6.810810810810811e-05, |
|
"loss": 0.0911, |
|
"step": 2200 |
|
}, |
|
{ |
|
"epoch": 6.61, |
|
"eval_accuracy": 0.9298618490967057, |
|
"eval_loss": 0.3390131890773773, |
|
"eval_runtime": 41.5116, |
|
"eval_samples_per_second": 22.668, |
|
"eval_steps_per_second": 2.843, |
|
"step": 2200 |
|
}, |
|
{ |
|
"epoch": 6.64, |
|
"learning_rate": 6.750750750750751e-05, |
|
"loss": 0.139, |
|
"step": 2210 |
|
}, |
|
{ |
|
"epoch": 6.67, |
|
"learning_rate": 6.690690690690691e-05, |
|
"loss": 0.1199, |
|
"step": 2220 |
|
}, |
|
{ |
|
"epoch": 6.7, |
|
"learning_rate": 6.630630630630631e-05, |
|
"loss": 0.2636, |
|
"step": 2230 |
|
}, |
|
{ |
|
"epoch": 6.73, |
|
"learning_rate": 6.570570570570571e-05, |
|
"loss": 0.2218, |
|
"step": 2240 |
|
}, |
|
{ |
|
"epoch": 6.76, |
|
"learning_rate": 6.510510510510511e-05, |
|
"loss": 0.22, |
|
"step": 2250 |
|
}, |
|
{ |
|
"epoch": 6.79, |
|
"learning_rate": 6.45045045045045e-05, |
|
"loss": 0.2532, |
|
"step": 2260 |
|
}, |
|
{ |
|
"epoch": 6.82, |
|
"learning_rate": 6.39039039039039e-05, |
|
"loss": 0.1398, |
|
"step": 2270 |
|
}, |
|
{ |
|
"epoch": 6.85, |
|
"learning_rate": 6.33033033033033e-05, |
|
"loss": 0.2485, |
|
"step": 2280 |
|
}, |
|
{ |
|
"epoch": 6.88, |
|
"learning_rate": 6.27027027027027e-05, |
|
"loss": 0.3601, |
|
"step": 2290 |
|
}, |
|
{ |
|
"epoch": 6.91, |
|
"learning_rate": 6.21021021021021e-05, |
|
"loss": 0.0907, |
|
"step": 2300 |
|
}, |
|
{ |
|
"epoch": 6.91, |
|
"eval_accuracy": 0.9287991498405951, |
|
"eval_loss": 0.29225409030914307, |
|
"eval_runtime": 41.9047, |
|
"eval_samples_per_second": 22.456, |
|
"eval_steps_per_second": 2.816, |
|
"step": 2300 |
|
}, |
|
{ |
|
"epoch": 6.94, |
|
"learning_rate": 6.15015015015015e-05, |
|
"loss": 0.233, |
|
"step": 2310 |
|
}, |
|
{ |
|
"epoch": 6.97, |
|
"learning_rate": 6.09009009009009e-05, |
|
"loss": 0.1495, |
|
"step": 2320 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"learning_rate": 6.030030030030031e-05, |
|
"loss": 0.1787, |
|
"step": 2330 |
|
}, |
|
{ |
|
"epoch": 7.03, |
|
"learning_rate": 5.969969969969971e-05, |
|
"loss": 0.1085, |
|
"step": 2340 |
|
}, |
|
{ |
|
"epoch": 7.06, |
|
"learning_rate": 5.9099099099099096e-05, |
|
"loss": 0.0735, |
|
"step": 2350 |
|
}, |
|
{ |
|
"epoch": 7.09, |
|
"learning_rate": 5.84984984984985e-05, |
|
"loss": 0.1993, |
|
"step": 2360 |
|
}, |
|
{ |
|
"epoch": 7.12, |
|
"learning_rate": 5.7897897897897904e-05, |
|
"loss": 0.1596, |
|
"step": 2370 |
|
}, |
|
{ |
|
"epoch": 7.15, |
|
"learning_rate": 5.7297297297297305e-05, |
|
"loss": 0.2082, |
|
"step": 2380 |
|
}, |
|
{ |
|
"epoch": 7.18, |
|
"learning_rate": 5.669669669669669e-05, |
|
"loss": 0.0653, |
|
"step": 2390 |
|
}, |
|
{ |
|
"epoch": 7.21, |
|
"learning_rate": 5.6096096096096093e-05, |
|
"loss": 0.0921, |
|
"step": 2400 |
|
}, |
|
{ |
|
"epoch": 7.21, |
|
"eval_accuracy": 0.9256110520722636, |
|
"eval_loss": 0.3502277135848999, |
|
"eval_runtime": 42.8984, |
|
"eval_samples_per_second": 21.936, |
|
"eval_steps_per_second": 2.751, |
|
"step": 2400 |
|
}, |
|
{ |
|
"epoch": 7.24, |
|
"learning_rate": 5.5495495495495494e-05, |
|
"loss": 0.1173, |
|
"step": 2410 |
|
}, |
|
{ |
|
"epoch": 7.27, |
|
"learning_rate": 5.48948948948949e-05, |
|
"loss": 0.2822, |
|
"step": 2420 |
|
}, |
|
{ |
|
"epoch": 7.3, |
|
"learning_rate": 5.42942942942943e-05, |
|
"loss": 0.1641, |
|
"step": 2430 |
|
}, |
|
{ |
|
"epoch": 7.33, |
|
"learning_rate": 5.369369369369369e-05, |
|
"loss": 0.0522, |
|
"step": 2440 |
|
}, |
|
{ |
|
"epoch": 7.36, |
|
"learning_rate": 5.309309309309309e-05, |
|
"loss": 0.0885, |
|
"step": 2450 |
|
}, |
|
{ |
|
"epoch": 7.39, |
|
"learning_rate": 5.24924924924925e-05, |
|
"loss": 0.2203, |
|
"step": 2460 |
|
}, |
|
{ |
|
"epoch": 7.42, |
|
"learning_rate": 5.18918918918919e-05, |
|
"loss": 0.2119, |
|
"step": 2470 |
|
}, |
|
{ |
|
"epoch": 7.45, |
|
"learning_rate": 5.12912912912913e-05, |
|
"loss": 0.1296, |
|
"step": 2480 |
|
}, |
|
{ |
|
"epoch": 7.48, |
|
"learning_rate": 5.075075075075075e-05, |
|
"loss": 0.1648, |
|
"step": 2490 |
|
}, |
|
{ |
|
"epoch": 7.51, |
|
"learning_rate": 5.015015015015015e-05, |
|
"loss": 0.1662, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 7.51, |
|
"eval_accuracy": 0.9341126461211477, |
|
"eval_loss": 0.31974515318870544, |
|
"eval_runtime": 42.4132, |
|
"eval_samples_per_second": 22.187, |
|
"eval_steps_per_second": 2.782, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 7.54, |
|
"learning_rate": 4.954954954954955e-05, |
|
"loss": 0.3236, |
|
"step": 2510 |
|
}, |
|
{ |
|
"epoch": 7.57, |
|
"learning_rate": 4.8948948948948954e-05, |
|
"loss": 0.1613, |
|
"step": 2520 |
|
}, |
|
{ |
|
"epoch": 7.6, |
|
"learning_rate": 4.834834834834835e-05, |
|
"loss": 0.127, |
|
"step": 2530 |
|
}, |
|
{ |
|
"epoch": 7.63, |
|
"learning_rate": 4.774774774774775e-05, |
|
"loss": 0.19, |
|
"step": 2540 |
|
}, |
|
{ |
|
"epoch": 7.66, |
|
"learning_rate": 4.714714714714715e-05, |
|
"loss": 0.2622, |
|
"step": 2550 |
|
}, |
|
{ |
|
"epoch": 7.69, |
|
"learning_rate": 4.654654654654655e-05, |
|
"loss": 0.1676, |
|
"step": 2560 |
|
}, |
|
{ |
|
"epoch": 7.72, |
|
"learning_rate": 4.594594594594595e-05, |
|
"loss": 0.0607, |
|
"step": 2570 |
|
}, |
|
{ |
|
"epoch": 7.75, |
|
"learning_rate": 4.5345345345345345e-05, |
|
"loss": 0.0951, |
|
"step": 2580 |
|
}, |
|
{ |
|
"epoch": 7.78, |
|
"learning_rate": 4.4744744744744746e-05, |
|
"loss": 0.0619, |
|
"step": 2590 |
|
}, |
|
{ |
|
"epoch": 7.81, |
|
"learning_rate": 4.414414414414415e-05, |
|
"loss": 0.0607, |
|
"step": 2600 |
|
}, |
|
{ |
|
"epoch": 7.81, |
|
"eval_accuracy": 0.9362380446333688, |
|
"eval_loss": 0.3092383146286011, |
|
"eval_runtime": 42.8615, |
|
"eval_samples_per_second": 21.954, |
|
"eval_steps_per_second": 2.753, |
|
"step": 2600 |
|
}, |
|
{ |
|
"epoch": 7.84, |
|
"learning_rate": 4.354354354354355e-05, |
|
"loss": 0.1651, |
|
"step": 2610 |
|
}, |
|
{ |
|
"epoch": 7.87, |
|
"learning_rate": 4.294294294294294e-05, |
|
"loss": 0.1729, |
|
"step": 2620 |
|
}, |
|
{ |
|
"epoch": 7.9, |
|
"learning_rate": 4.234234234234234e-05, |
|
"loss": 0.0926, |
|
"step": 2630 |
|
}, |
|
{ |
|
"epoch": 7.93, |
|
"learning_rate": 4.1741741741741744e-05, |
|
"loss": 0.1416, |
|
"step": 2640 |
|
}, |
|
{ |
|
"epoch": 7.96, |
|
"learning_rate": 4.1141141141141144e-05, |
|
"loss": 0.1423, |
|
"step": 2650 |
|
}, |
|
{ |
|
"epoch": 7.99, |
|
"learning_rate": 4.0540540540540545e-05, |
|
"loss": 0.2282, |
|
"step": 2660 |
|
}, |
|
{ |
|
"epoch": 8.02, |
|
"learning_rate": 3.993993993993994e-05, |
|
"loss": 0.1875, |
|
"step": 2670 |
|
}, |
|
{ |
|
"epoch": 8.05, |
|
"learning_rate": 3.933933933933934e-05, |
|
"loss": 0.082, |
|
"step": 2680 |
|
}, |
|
{ |
|
"epoch": 8.08, |
|
"learning_rate": 3.873873873873874e-05, |
|
"loss": 0.0841, |
|
"step": 2690 |
|
}, |
|
{ |
|
"epoch": 8.11, |
|
"learning_rate": 3.813813813813814e-05, |
|
"loss": 0.111, |
|
"step": 2700 |
|
}, |
|
{ |
|
"epoch": 8.11, |
|
"eval_accuracy": 0.9394261424017003, |
|
"eval_loss": 0.3145782947540283, |
|
"eval_runtime": 41.6631, |
|
"eval_samples_per_second": 22.586, |
|
"eval_steps_per_second": 2.832, |
|
"step": 2700 |
|
}, |
|
{ |
|
"epoch": 8.14, |
|
"learning_rate": 3.7537537537537536e-05, |
|
"loss": 0.1134, |
|
"step": 2710 |
|
}, |
|
{ |
|
"epoch": 8.17, |
|
"learning_rate": 3.693693693693694e-05, |
|
"loss": 0.2025, |
|
"step": 2720 |
|
}, |
|
{ |
|
"epoch": 8.2, |
|
"learning_rate": 3.633633633633634e-05, |
|
"loss": 0.0839, |
|
"step": 2730 |
|
}, |
|
{ |
|
"epoch": 8.23, |
|
"learning_rate": 3.573573573573574e-05, |
|
"loss": 0.1108, |
|
"step": 2740 |
|
}, |
|
{ |
|
"epoch": 8.26, |
|
"learning_rate": 3.513513513513514e-05, |
|
"loss": 0.1802, |
|
"step": 2750 |
|
}, |
|
{ |
|
"epoch": 8.29, |
|
"learning_rate": 3.453453453453453e-05, |
|
"loss": 0.0608, |
|
"step": 2760 |
|
}, |
|
{ |
|
"epoch": 8.32, |
|
"learning_rate": 3.3933933933933934e-05, |
|
"loss": 0.139, |
|
"step": 2770 |
|
}, |
|
{ |
|
"epoch": 8.35, |
|
"learning_rate": 3.3333333333333335e-05, |
|
"loss": 0.1329, |
|
"step": 2780 |
|
}, |
|
{ |
|
"epoch": 8.38, |
|
"learning_rate": 3.2732732732732736e-05, |
|
"loss": 0.1711, |
|
"step": 2790 |
|
}, |
|
{ |
|
"epoch": 8.41, |
|
"learning_rate": 3.213213213213213e-05, |
|
"loss": 0.0588, |
|
"step": 2800 |
|
}, |
|
{ |
|
"epoch": 8.41, |
|
"eval_accuracy": 0.9341126461211477, |
|
"eval_loss": 0.3069179654121399, |
|
"eval_runtime": 44.1439, |
|
"eval_samples_per_second": 21.317, |
|
"eval_steps_per_second": 2.673, |
|
"step": 2800 |
|
}, |
|
{ |
|
"epoch": 8.44, |
|
"learning_rate": 3.153153153153153e-05, |
|
"loss": 0.1412, |
|
"step": 2810 |
|
}, |
|
{ |
|
"epoch": 8.47, |
|
"learning_rate": 3.093093093093093e-05, |
|
"loss": 0.1177, |
|
"step": 2820 |
|
}, |
|
{ |
|
"epoch": 8.5, |
|
"learning_rate": 3.0330330330330332e-05, |
|
"loss": 0.0592, |
|
"step": 2830 |
|
}, |
|
{ |
|
"epoch": 8.53, |
|
"learning_rate": 2.9729729729729733e-05, |
|
"loss": 0.0826, |
|
"step": 2840 |
|
}, |
|
{ |
|
"epoch": 8.56, |
|
"learning_rate": 2.912912912912913e-05, |
|
"loss": 0.0291, |
|
"step": 2850 |
|
}, |
|
{ |
|
"epoch": 8.59, |
|
"learning_rate": 2.852852852852853e-05, |
|
"loss": 0.1077, |
|
"step": 2860 |
|
}, |
|
{ |
|
"epoch": 8.62, |
|
"learning_rate": 2.7927927927927926e-05, |
|
"loss": 0.1541, |
|
"step": 2870 |
|
}, |
|
{ |
|
"epoch": 8.65, |
|
"learning_rate": 2.732732732732733e-05, |
|
"loss": 0.0972, |
|
"step": 2880 |
|
}, |
|
{ |
|
"epoch": 8.68, |
|
"learning_rate": 2.672672672672673e-05, |
|
"loss": 0.0879, |
|
"step": 2890 |
|
}, |
|
{ |
|
"epoch": 8.71, |
|
"learning_rate": 2.6126126126126128e-05, |
|
"loss": 0.131, |
|
"step": 2900 |
|
}, |
|
{ |
|
"epoch": 8.71, |
|
"eval_accuracy": 0.9404888416578109, |
|
"eval_loss": 0.29712456464767456, |
|
"eval_runtime": 44.6124, |
|
"eval_samples_per_second": 21.093, |
|
"eval_steps_per_second": 2.645, |
|
"step": 2900 |
|
}, |
|
{ |
|
"epoch": 8.74, |
|
"learning_rate": 2.552552552552553e-05, |
|
"loss": 0.1452, |
|
"step": 2910 |
|
}, |
|
{ |
|
"epoch": 8.77, |
|
"learning_rate": 2.4924924924924926e-05, |
|
"loss": 0.1011, |
|
"step": 2920 |
|
}, |
|
{ |
|
"epoch": 8.8, |
|
"learning_rate": 2.4324324324324327e-05, |
|
"loss": 0.0698, |
|
"step": 2930 |
|
}, |
|
{ |
|
"epoch": 8.83, |
|
"learning_rate": 2.3723723723723725e-05, |
|
"loss": 0.0426, |
|
"step": 2940 |
|
}, |
|
{ |
|
"epoch": 8.86, |
|
"learning_rate": 2.3123123123123125e-05, |
|
"loss": 0.155, |
|
"step": 2950 |
|
}, |
|
{ |
|
"epoch": 8.89, |
|
"learning_rate": 2.2522522522522523e-05, |
|
"loss": 0.118, |
|
"step": 2960 |
|
}, |
|
{ |
|
"epoch": 8.92, |
|
"learning_rate": 2.1921921921921924e-05, |
|
"loss": 0.1174, |
|
"step": 2970 |
|
}, |
|
{ |
|
"epoch": 8.95, |
|
"learning_rate": 2.132132132132132e-05, |
|
"loss": 0.1205, |
|
"step": 2980 |
|
}, |
|
{ |
|
"epoch": 8.98, |
|
"learning_rate": 2.0720720720720722e-05, |
|
"loss": 0.0585, |
|
"step": 2990 |
|
}, |
|
{ |
|
"epoch": 9.01, |
|
"learning_rate": 2.012012012012012e-05, |
|
"loss": 0.1903, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 9.01, |
|
"eval_accuracy": 0.9383634431455898, |
|
"eval_loss": 0.3077952265739441, |
|
"eval_runtime": 43.3819, |
|
"eval_samples_per_second": 21.691, |
|
"eval_steps_per_second": 2.72, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 9.04, |
|
"learning_rate": 1.951951951951952e-05, |
|
"loss": 0.0579, |
|
"step": 3010 |
|
}, |
|
{ |
|
"epoch": 9.07, |
|
"learning_rate": 1.891891891891892e-05, |
|
"loss": 0.1152, |
|
"step": 3020 |
|
}, |
|
{ |
|
"epoch": 9.1, |
|
"learning_rate": 1.831831831831832e-05, |
|
"loss": 0.0329, |
|
"step": 3030 |
|
}, |
|
{ |
|
"epoch": 9.13, |
|
"learning_rate": 1.771771771771772e-05, |
|
"loss": 0.1108, |
|
"step": 3040 |
|
}, |
|
{ |
|
"epoch": 9.16, |
|
"learning_rate": 1.7117117117117117e-05, |
|
"loss": 0.1499, |
|
"step": 3050 |
|
}, |
|
{ |
|
"epoch": 9.19, |
|
"learning_rate": 1.6516516516516518e-05, |
|
"loss": 0.0679, |
|
"step": 3060 |
|
}, |
|
{ |
|
"epoch": 9.22, |
|
"learning_rate": 1.5915915915915915e-05, |
|
"loss": 0.0834, |
|
"step": 3070 |
|
}, |
|
{ |
|
"epoch": 9.25, |
|
"learning_rate": 1.5315315315315316e-05, |
|
"loss": 0.1488, |
|
"step": 3080 |
|
}, |
|
{ |
|
"epoch": 9.28, |
|
"learning_rate": 1.4714714714714713e-05, |
|
"loss": 0.0965, |
|
"step": 3090 |
|
}, |
|
{ |
|
"epoch": 9.31, |
|
"learning_rate": 1.4114114114114116e-05, |
|
"loss": 0.2116, |
|
"step": 3100 |
|
}, |
|
{ |
|
"epoch": 9.31, |
|
"eval_accuracy": 0.9341126461211477, |
|
"eval_loss": 0.31116607785224915, |
|
"eval_runtime": 42.4775, |
|
"eval_samples_per_second": 22.153, |
|
"eval_steps_per_second": 2.778, |
|
"step": 3100 |
|
}, |
|
{ |
|
"epoch": 9.34, |
|
"learning_rate": 1.3513513513513515e-05, |
|
"loss": 0.0979, |
|
"step": 3110 |
|
}, |
|
{ |
|
"epoch": 9.37, |
|
"learning_rate": 1.2912912912912914e-05, |
|
"loss": 0.1489, |
|
"step": 3120 |
|
}, |
|
{ |
|
"epoch": 9.4, |
|
"learning_rate": 1.2312312312312313e-05, |
|
"loss": 0.0512, |
|
"step": 3130 |
|
}, |
|
{ |
|
"epoch": 9.43, |
|
"learning_rate": 1.1711711711711713e-05, |
|
"loss": 0.0908, |
|
"step": 3140 |
|
}, |
|
{ |
|
"epoch": 9.46, |
|
"learning_rate": 1.1111111111111112e-05, |
|
"loss": 0.0914, |
|
"step": 3150 |
|
}, |
|
{ |
|
"epoch": 9.49, |
|
"learning_rate": 1.051051051051051e-05, |
|
"loss": 0.0726, |
|
"step": 3160 |
|
}, |
|
{ |
|
"epoch": 9.52, |
|
"learning_rate": 9.90990990990991e-06, |
|
"loss": 0.0876, |
|
"step": 3170 |
|
}, |
|
{ |
|
"epoch": 9.55, |
|
"learning_rate": 9.309309309309309e-06, |
|
"loss": 0.153, |
|
"step": 3180 |
|
}, |
|
{ |
|
"epoch": 9.58, |
|
"learning_rate": 8.708708708708708e-06, |
|
"loss": 0.1306, |
|
"step": 3190 |
|
}, |
|
{ |
|
"epoch": 9.61, |
|
"learning_rate": 8.108108108108109e-06, |
|
"loss": 0.1415, |
|
"step": 3200 |
|
}, |
|
{ |
|
"epoch": 9.61, |
|
"eval_accuracy": 0.9404888416578109, |
|
"eval_loss": 0.29556912183761597, |
|
"eval_runtime": 43.4001, |
|
"eval_samples_per_second": 21.682, |
|
"eval_steps_per_second": 2.719, |
|
"step": 3200 |
|
}, |
|
{ |
|
"epoch": 9.64, |
|
"learning_rate": 7.507507507507508e-06, |
|
"loss": 0.0865, |
|
"step": 3210 |
|
}, |
|
{ |
|
"epoch": 9.67, |
|
"learning_rate": 6.906906906906907e-06, |
|
"loss": 0.0654, |
|
"step": 3220 |
|
}, |
|
{ |
|
"epoch": 9.7, |
|
"learning_rate": 6.306306306306306e-06, |
|
"loss": 0.1104, |
|
"step": 3230 |
|
}, |
|
{ |
|
"epoch": 9.73, |
|
"learning_rate": 5.705705705705706e-06, |
|
"loss": 0.0943, |
|
"step": 3240 |
|
}, |
|
{ |
|
"epoch": 9.76, |
|
"learning_rate": 5.105105105105106e-06, |
|
"loss": 0.1215, |
|
"step": 3250 |
|
}, |
|
{ |
|
"epoch": 9.79, |
|
"learning_rate": 4.504504504504505e-06, |
|
"loss": 0.1062, |
|
"step": 3260 |
|
}, |
|
{ |
|
"epoch": 9.82, |
|
"learning_rate": 3.903903903903904e-06, |
|
"loss": 0.122, |
|
"step": 3270 |
|
}, |
|
{ |
|
"epoch": 9.85, |
|
"learning_rate": 3.3033033033033035e-06, |
|
"loss": 0.0634, |
|
"step": 3280 |
|
}, |
|
{ |
|
"epoch": 9.88, |
|
"learning_rate": 2.702702702702703e-06, |
|
"loss": 0.1094, |
|
"step": 3290 |
|
}, |
|
{ |
|
"epoch": 9.91, |
|
"learning_rate": 2.102102102102102e-06, |
|
"loss": 0.1106, |
|
"step": 3300 |
|
}, |
|
{ |
|
"epoch": 9.91, |
|
"eval_accuracy": 0.9436769394261424, |
|
"eval_loss": 0.2909798324108124, |
|
"eval_runtime": 42.5282, |
|
"eval_samples_per_second": 22.126, |
|
"eval_steps_per_second": 2.775, |
|
"step": 3300 |
|
}, |
|
{ |
|
"epoch": 9.94, |
|
"learning_rate": 1.5015015015015015e-06, |
|
"loss": 0.026, |
|
"step": 3310 |
|
}, |
|
{ |
|
"epoch": 9.97, |
|
"learning_rate": 9.00900900900901e-07, |
|
"loss": 0.0736, |
|
"step": 3320 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"learning_rate": 3.003003003003003e-07, |
|
"loss": 0.0909, |
|
"step": 3330 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"step": 3330, |
|
"total_flos": 4.175139032456233e+18, |
|
"train_loss": 0.31485966012642547, |
|
"train_runtime": 4358.8867, |
|
"train_samples_per_second": 12.223, |
|
"train_steps_per_second": 0.764 |
|
} |
|
], |
|
"max_steps": 3330, |
|
"num_train_epochs": 10, |
|
"total_flos": 4.175139032456233e+18, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|