|
{ |
|
"best_metric": 0.8704663212435233, |
|
"best_model_checkpoint": "./vit-base-skin/checkpoint-3000", |
|
"epoch": 6.0, |
|
"global_step": 3756, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 0.0001994675186368477, |
|
"loss": 1.2833, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 0.00019893503727369543, |
|
"loss": 1.0875, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.00019840255591054313, |
|
"loss": 0.8154, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 0.00019787007454739086, |
|
"loss": 1.037, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 0.00019733759318423856, |
|
"loss": 0.8253, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.00019680511182108628, |
|
"loss": 0.838, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.11, |
|
"learning_rate": 0.00019627263045793398, |
|
"loss": 0.9288, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"learning_rate": 0.00019574014909478168, |
|
"loss": 0.8994, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.14, |
|
"learning_rate": 0.0001952076677316294, |
|
"loss": 0.9625, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"learning_rate": 0.0001946751863684771, |
|
"loss": 0.8057, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"eval_accuracy": 0.7253886010362695, |
|
"eval_f1": 0.6902091795647346, |
|
"eval_loss": 0.7590692639350891, |
|
"eval_precision": 0.6778860287362657, |
|
"eval_recall": 0.7253886010362695, |
|
"eval_runtime": 1.2933, |
|
"eval_samples_per_second": 149.234, |
|
"eval_steps_per_second": 19.331, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"learning_rate": 0.00019414270500532483, |
|
"loss": 0.8193, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.19, |
|
"learning_rate": 0.00019361022364217253, |
|
"loss": 0.7711, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"learning_rate": 0.00019307774227902025, |
|
"loss": 0.7055, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 0.22, |
|
"learning_rate": 0.00019254526091586795, |
|
"loss": 0.7175, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"learning_rate": 0.00019201277955271565, |
|
"loss": 0.8349, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"learning_rate": 0.00019148029818956338, |
|
"loss": 0.8284, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.27, |
|
"learning_rate": 0.00019094781682641108, |
|
"loss": 0.7171, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 0.29, |
|
"learning_rate": 0.0001904153354632588, |
|
"loss": 0.8533, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"learning_rate": 0.0001898828541001065, |
|
"loss": 0.7037, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"learning_rate": 0.00018935037273695422, |
|
"loss": 0.7619, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"eval_accuracy": 0.7409326424870466, |
|
"eval_f1": 0.6952852008863443, |
|
"eval_loss": 0.7081080675125122, |
|
"eval_precision": 0.6919837080261991, |
|
"eval_recall": 0.7409326424870466, |
|
"eval_runtime": 1.3028, |
|
"eval_samples_per_second": 148.147, |
|
"eval_steps_per_second": 19.19, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.34, |
|
"learning_rate": 0.00018881789137380192, |
|
"loss": 0.7863, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 0.35, |
|
"learning_rate": 0.00018828541001064962, |
|
"loss": 0.6954, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 0.37, |
|
"learning_rate": 0.00018775292864749735, |
|
"loss": 0.7077, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 0.38, |
|
"learning_rate": 0.00018722044728434505, |
|
"loss": 0.685, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"learning_rate": 0.00018668796592119277, |
|
"loss": 0.5368, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 0.42, |
|
"learning_rate": 0.00018615548455804047, |
|
"loss": 0.7447, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 0.43, |
|
"learning_rate": 0.0001856230031948882, |
|
"loss": 0.8099, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 0.45, |
|
"learning_rate": 0.0001850905218317359, |
|
"loss": 0.7634, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 0.46, |
|
"learning_rate": 0.0001845580404685836, |
|
"loss": 0.7319, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"learning_rate": 0.00018402555910543132, |
|
"loss": 0.6315, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"eval_accuracy": 0.8134715025906736, |
|
"eval_f1": 0.8038528184141907, |
|
"eval_loss": 0.5953513979911804, |
|
"eval_precision": 0.8688087603854711, |
|
"eval_recall": 0.8134715025906736, |
|
"eval_runtime": 1.3543, |
|
"eval_samples_per_second": 142.507, |
|
"eval_steps_per_second": 18.459, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.5, |
|
"learning_rate": 0.00018349307774227902, |
|
"loss": 0.5614, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"learning_rate": 0.00018296059637912674, |
|
"loss": 0.5914, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"learning_rate": 0.00018242811501597444, |
|
"loss": 0.6407, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 0.54, |
|
"learning_rate": 0.00018189563365282217, |
|
"loss": 0.7443, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 0.56, |
|
"learning_rate": 0.00018136315228966987, |
|
"loss": 0.6917, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 0.58, |
|
"learning_rate": 0.00018083067092651756, |
|
"loss": 0.6157, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 0.59, |
|
"learning_rate": 0.0001802981895633653, |
|
"loss": 0.6469, |
|
"step": 370 |
|
}, |
|
{ |
|
"epoch": 0.61, |
|
"learning_rate": 0.00017976570820021302, |
|
"loss": 0.6911, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 0.62, |
|
"learning_rate": 0.00017923322683706071, |
|
"loss": 0.6223, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"learning_rate": 0.0001787007454739084, |
|
"loss": 0.8311, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"eval_accuracy": 0.7927461139896373, |
|
"eval_f1": 0.7805736577757303, |
|
"eval_loss": 0.597364604473114, |
|
"eval_precision": 0.7984743458839895, |
|
"eval_recall": 0.7927461139896373, |
|
"eval_runtime": 1.4421, |
|
"eval_samples_per_second": 133.832, |
|
"eval_steps_per_second": 17.336, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.65, |
|
"learning_rate": 0.00017816826411075614, |
|
"loss": 0.6898, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 0.67, |
|
"learning_rate": 0.00017763578274760384, |
|
"loss": 0.6062, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 0.69, |
|
"learning_rate": 0.00017710330138445154, |
|
"loss": 0.7281, |
|
"step": 430 |
|
}, |
|
{ |
|
"epoch": 0.7, |
|
"learning_rate": 0.00017657082002129926, |
|
"loss": 0.6312, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 0.72, |
|
"learning_rate": 0.000176038338658147, |
|
"loss": 0.6278, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 0.73, |
|
"learning_rate": 0.00017550585729499469, |
|
"loss": 0.5219, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 0.75, |
|
"learning_rate": 0.0001749733759318424, |
|
"loss": 0.6421, |
|
"step": 470 |
|
}, |
|
{ |
|
"epoch": 0.77, |
|
"learning_rate": 0.0001744408945686901, |
|
"loss": 0.5929, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 0.78, |
|
"learning_rate": 0.0001739084132055378, |
|
"loss": 0.7804, |
|
"step": 490 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"learning_rate": 0.0001733759318423855, |
|
"loss": 0.5666, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"eval_accuracy": 0.772020725388601, |
|
"eval_f1": 0.7727207125131491, |
|
"eval_loss": 0.6151149868965149, |
|
"eval_precision": 0.790252614397692, |
|
"eval_recall": 0.772020725388601, |
|
"eval_runtime": 1.4778, |
|
"eval_samples_per_second": 130.599, |
|
"eval_steps_per_second": 16.917, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"learning_rate": 0.00017284345047923323, |
|
"loss": 0.6114, |
|
"step": 510 |
|
}, |
|
{ |
|
"epoch": 0.83, |
|
"learning_rate": 0.00017231096911608096, |
|
"loss": 0.5761, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 0.85, |
|
"learning_rate": 0.00017177848775292866, |
|
"loss": 0.5115, |
|
"step": 530 |
|
}, |
|
{ |
|
"epoch": 0.86, |
|
"learning_rate": 0.00017124600638977638, |
|
"loss": 0.6255, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 0.88, |
|
"learning_rate": 0.00017071352502662408, |
|
"loss": 0.6064, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 0.89, |
|
"learning_rate": 0.00017018104366347178, |
|
"loss": 0.6261, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 0.91, |
|
"learning_rate": 0.00016964856230031948, |
|
"loss": 0.56, |
|
"step": 570 |
|
}, |
|
{ |
|
"epoch": 0.93, |
|
"learning_rate": 0.0001691160809371672, |
|
"loss": 0.4957, |
|
"step": 580 |
|
}, |
|
{ |
|
"epoch": 0.94, |
|
"learning_rate": 0.00016858359957401493, |
|
"loss": 0.5808, |
|
"step": 590 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"learning_rate": 0.00016805111821086263, |
|
"loss": 0.5816, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"eval_accuracy": 0.8031088082901554, |
|
"eval_f1": 0.7440025135199124, |
|
"eval_loss": 0.4912366271018982, |
|
"eval_precision": 0.7008499532379302, |
|
"eval_recall": 0.8031088082901554, |
|
"eval_runtime": 1.3782, |
|
"eval_samples_per_second": 140.041, |
|
"eval_steps_per_second": 18.14, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.97, |
|
"learning_rate": 0.00016751863684771035, |
|
"loss": 0.7771, |
|
"step": 610 |
|
}, |
|
{ |
|
"epoch": 0.99, |
|
"learning_rate": 0.00016698615548455805, |
|
"loss": 0.5708, |
|
"step": 620 |
|
}, |
|
{ |
|
"epoch": 1.01, |
|
"learning_rate": 0.00016645367412140575, |
|
"loss": 0.5156, |
|
"step": 630 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"learning_rate": 0.00016592119275825345, |
|
"loss": 0.3287, |
|
"step": 640 |
|
}, |
|
{ |
|
"epoch": 1.04, |
|
"learning_rate": 0.00016538871139510118, |
|
"loss": 0.4675, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 1.05, |
|
"learning_rate": 0.0001648562300319489, |
|
"loss": 0.5591, |
|
"step": 660 |
|
}, |
|
{ |
|
"epoch": 1.07, |
|
"learning_rate": 0.0001643237486687966, |
|
"loss": 0.5379, |
|
"step": 670 |
|
}, |
|
{ |
|
"epoch": 1.09, |
|
"learning_rate": 0.00016379126730564433, |
|
"loss": 0.5062, |
|
"step": 680 |
|
}, |
|
{ |
|
"epoch": 1.1, |
|
"learning_rate": 0.00016325878594249202, |
|
"loss": 0.3909, |
|
"step": 690 |
|
}, |
|
{ |
|
"epoch": 1.12, |
|
"learning_rate": 0.00016272630457933972, |
|
"loss": 0.3715, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 1.12, |
|
"eval_accuracy": 0.7979274611398963, |
|
"eval_f1": 0.7764465194154111, |
|
"eval_loss": 0.5772222280502319, |
|
"eval_precision": 0.8023955988846563, |
|
"eval_recall": 0.7979274611398963, |
|
"eval_runtime": 1.4782, |
|
"eval_samples_per_second": 130.565, |
|
"eval_steps_per_second": 16.913, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 1.13, |
|
"learning_rate": 0.00016219382321618745, |
|
"loss": 0.597, |
|
"step": 710 |
|
}, |
|
{ |
|
"epoch": 1.15, |
|
"learning_rate": 0.00016166134185303515, |
|
"loss": 0.4993, |
|
"step": 720 |
|
}, |
|
{ |
|
"epoch": 1.17, |
|
"learning_rate": 0.00016112886048988287, |
|
"loss": 0.4315, |
|
"step": 730 |
|
}, |
|
{ |
|
"epoch": 1.18, |
|
"learning_rate": 0.00016059637912673057, |
|
"loss": 0.456, |
|
"step": 740 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"learning_rate": 0.0001600638977635783, |
|
"loss": 0.4603, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 1.21, |
|
"learning_rate": 0.000159531416400426, |
|
"loss": 0.5013, |
|
"step": 760 |
|
}, |
|
{ |
|
"epoch": 1.23, |
|
"learning_rate": 0.0001589989350372737, |
|
"loss": 0.3764, |
|
"step": 770 |
|
}, |
|
{ |
|
"epoch": 1.25, |
|
"learning_rate": 0.00015846645367412142, |
|
"loss": 0.4753, |
|
"step": 780 |
|
}, |
|
{ |
|
"epoch": 1.26, |
|
"learning_rate": 0.00015793397231096912, |
|
"loss": 0.4748, |
|
"step": 790 |
|
}, |
|
{ |
|
"epoch": 1.28, |
|
"learning_rate": 0.00015740149094781684, |
|
"loss": 0.5411, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 1.28, |
|
"eval_accuracy": 0.8341968911917098, |
|
"eval_f1": 0.8300510265180505, |
|
"eval_loss": 0.5023627281188965, |
|
"eval_precision": 0.8447228277489082, |
|
"eval_recall": 0.8341968911917098, |
|
"eval_runtime": 1.423, |
|
"eval_samples_per_second": 135.63, |
|
"eval_steps_per_second": 17.569, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 1.29, |
|
"learning_rate": 0.00015686900958466454, |
|
"loss": 0.468, |
|
"step": 810 |
|
}, |
|
{ |
|
"epoch": 1.31, |
|
"learning_rate": 0.00015633652822151227, |
|
"loss": 0.5218, |
|
"step": 820 |
|
}, |
|
{ |
|
"epoch": 1.33, |
|
"learning_rate": 0.00015580404685835997, |
|
"loss": 0.3141, |
|
"step": 830 |
|
}, |
|
{ |
|
"epoch": 1.34, |
|
"learning_rate": 0.00015527156549520767, |
|
"loss": 0.5387, |
|
"step": 840 |
|
}, |
|
{ |
|
"epoch": 1.36, |
|
"learning_rate": 0.0001547390841320554, |
|
"loss": 0.3781, |
|
"step": 850 |
|
}, |
|
{ |
|
"epoch": 1.37, |
|
"learning_rate": 0.0001542066027689031, |
|
"loss": 0.5936, |
|
"step": 860 |
|
}, |
|
{ |
|
"epoch": 1.39, |
|
"learning_rate": 0.00015367412140575082, |
|
"loss": 0.5951, |
|
"step": 870 |
|
}, |
|
{ |
|
"epoch": 1.41, |
|
"learning_rate": 0.00015314164004259851, |
|
"loss": 0.3731, |
|
"step": 880 |
|
}, |
|
{ |
|
"epoch": 1.42, |
|
"learning_rate": 0.00015260915867944624, |
|
"loss": 0.4994, |
|
"step": 890 |
|
}, |
|
{ |
|
"epoch": 1.44, |
|
"learning_rate": 0.00015207667731629394, |
|
"loss": 0.474, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 1.44, |
|
"eval_accuracy": 0.8341968911917098, |
|
"eval_f1": 0.8196455563647475, |
|
"eval_loss": 0.437396377325058, |
|
"eval_precision": 0.8259791733884998, |
|
"eval_recall": 0.8341968911917098, |
|
"eval_runtime": 1.495, |
|
"eval_samples_per_second": 129.099, |
|
"eval_steps_per_second": 16.723, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 1.45, |
|
"learning_rate": 0.00015154419595314164, |
|
"loss": 0.4212, |
|
"step": 910 |
|
}, |
|
{ |
|
"epoch": 1.47, |
|
"learning_rate": 0.00015101171458998936, |
|
"loss": 0.4708, |
|
"step": 920 |
|
}, |
|
{ |
|
"epoch": 1.49, |
|
"learning_rate": 0.00015047923322683706, |
|
"loss": 0.4641, |
|
"step": 930 |
|
}, |
|
{ |
|
"epoch": 1.5, |
|
"learning_rate": 0.0001499467518636848, |
|
"loss": 0.5121, |
|
"step": 940 |
|
}, |
|
{ |
|
"epoch": 1.52, |
|
"learning_rate": 0.00014941427050053249, |
|
"loss": 0.4798, |
|
"step": 950 |
|
}, |
|
{ |
|
"epoch": 1.53, |
|
"learning_rate": 0.0001488817891373802, |
|
"loss": 0.3917, |
|
"step": 960 |
|
}, |
|
{ |
|
"epoch": 1.55, |
|
"learning_rate": 0.0001483493077742279, |
|
"loss": 0.4626, |
|
"step": 970 |
|
}, |
|
{ |
|
"epoch": 1.57, |
|
"learning_rate": 0.0001478168264110756, |
|
"loss": 0.4031, |
|
"step": 980 |
|
}, |
|
{ |
|
"epoch": 1.58, |
|
"learning_rate": 0.00014728434504792333, |
|
"loss": 0.4627, |
|
"step": 990 |
|
}, |
|
{ |
|
"epoch": 1.6, |
|
"learning_rate": 0.00014675186368477103, |
|
"loss": 0.4386, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 1.6, |
|
"eval_accuracy": 0.7564766839378239, |
|
"eval_f1": 0.7807925220524523, |
|
"eval_loss": 0.6611098051071167, |
|
"eval_precision": 0.8456463174136767, |
|
"eval_recall": 0.7564766839378239, |
|
"eval_runtime": 1.4882, |
|
"eval_samples_per_second": 129.689, |
|
"eval_steps_per_second": 16.799, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 1.61, |
|
"learning_rate": 0.00014621938232161876, |
|
"loss": 0.4531, |
|
"step": 1010 |
|
}, |
|
{ |
|
"epoch": 1.63, |
|
"learning_rate": 0.00014568690095846646, |
|
"loss": 0.4607, |
|
"step": 1020 |
|
}, |
|
{ |
|
"epoch": 1.65, |
|
"learning_rate": 0.00014515441959531418, |
|
"loss": 0.4729, |
|
"step": 1030 |
|
}, |
|
{ |
|
"epoch": 1.66, |
|
"learning_rate": 0.00014462193823216188, |
|
"loss": 0.5212, |
|
"step": 1040 |
|
}, |
|
{ |
|
"epoch": 1.68, |
|
"learning_rate": 0.00014408945686900958, |
|
"loss": 0.4455, |
|
"step": 1050 |
|
}, |
|
{ |
|
"epoch": 1.69, |
|
"learning_rate": 0.0001435569755058573, |
|
"loss": 0.4562, |
|
"step": 1060 |
|
}, |
|
{ |
|
"epoch": 1.71, |
|
"learning_rate": 0.000143024494142705, |
|
"loss": 0.3637, |
|
"step": 1070 |
|
}, |
|
{ |
|
"epoch": 1.73, |
|
"learning_rate": 0.00014249201277955273, |
|
"loss": 0.4477, |
|
"step": 1080 |
|
}, |
|
{ |
|
"epoch": 1.74, |
|
"learning_rate": 0.00014195953141640043, |
|
"loss": 0.5181, |
|
"step": 1090 |
|
}, |
|
{ |
|
"epoch": 1.76, |
|
"learning_rate": 0.00014142705005324815, |
|
"loss": 0.4091, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 1.76, |
|
"eval_accuracy": 0.8031088082901554, |
|
"eval_f1": 0.7855269798617716, |
|
"eval_loss": 0.5261281728744507, |
|
"eval_precision": 0.8287814365795575, |
|
"eval_recall": 0.8031088082901554, |
|
"eval_runtime": 1.5518, |
|
"eval_samples_per_second": 124.372, |
|
"eval_steps_per_second": 16.11, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 1.77, |
|
"learning_rate": 0.00014089456869009585, |
|
"loss": 0.5717, |
|
"step": 1110 |
|
}, |
|
{ |
|
"epoch": 1.79, |
|
"learning_rate": 0.00014036208732694355, |
|
"loss": 0.3932, |
|
"step": 1120 |
|
}, |
|
{ |
|
"epoch": 1.81, |
|
"learning_rate": 0.00013982960596379128, |
|
"loss": 0.2944, |
|
"step": 1130 |
|
}, |
|
{ |
|
"epoch": 1.82, |
|
"learning_rate": 0.000139297124600639, |
|
"loss": 0.3272, |
|
"step": 1140 |
|
}, |
|
{ |
|
"epoch": 1.84, |
|
"learning_rate": 0.0001387646432374867, |
|
"loss": 0.5272, |
|
"step": 1150 |
|
}, |
|
{ |
|
"epoch": 1.85, |
|
"learning_rate": 0.0001382321618743344, |
|
"loss": 0.4034, |
|
"step": 1160 |
|
}, |
|
{ |
|
"epoch": 1.87, |
|
"learning_rate": 0.00013769968051118212, |
|
"loss": 0.3946, |
|
"step": 1170 |
|
}, |
|
{ |
|
"epoch": 1.88, |
|
"learning_rate": 0.00013716719914802982, |
|
"loss": 0.6408, |
|
"step": 1180 |
|
}, |
|
{ |
|
"epoch": 1.9, |
|
"learning_rate": 0.00013663471778487752, |
|
"loss": 0.2895, |
|
"step": 1190 |
|
}, |
|
{ |
|
"epoch": 1.92, |
|
"learning_rate": 0.00013610223642172525, |
|
"loss": 0.4023, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 1.92, |
|
"eval_accuracy": 0.844559585492228, |
|
"eval_f1": 0.8462326114605659, |
|
"eval_loss": 0.42789995670318604, |
|
"eval_precision": 0.8686702660338749, |
|
"eval_recall": 0.844559585492228, |
|
"eval_runtime": 1.3766, |
|
"eval_samples_per_second": 140.2, |
|
"eval_steps_per_second": 18.161, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 1.93, |
|
"learning_rate": 0.00013556975505857297, |
|
"loss": 0.4638, |
|
"step": 1210 |
|
}, |
|
{ |
|
"epoch": 1.95, |
|
"learning_rate": 0.00013503727369542067, |
|
"loss": 0.2626, |
|
"step": 1220 |
|
}, |
|
{ |
|
"epoch": 1.96, |
|
"learning_rate": 0.00013450479233226837, |
|
"loss": 0.3227, |
|
"step": 1230 |
|
}, |
|
{ |
|
"epoch": 1.98, |
|
"learning_rate": 0.0001339723109691161, |
|
"loss": 0.4861, |
|
"step": 1240 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 0.0001334398296059638, |
|
"loss": 0.4213, |
|
"step": 1250 |
|
}, |
|
{ |
|
"epoch": 2.01, |
|
"learning_rate": 0.0001329073482428115, |
|
"loss": 0.3679, |
|
"step": 1260 |
|
}, |
|
{ |
|
"epoch": 2.03, |
|
"learning_rate": 0.00013242811501597445, |
|
"loss": 0.2227, |
|
"step": 1270 |
|
}, |
|
{ |
|
"epoch": 2.04, |
|
"learning_rate": 0.00013189563365282217, |
|
"loss": 0.2959, |
|
"step": 1280 |
|
}, |
|
{ |
|
"epoch": 2.06, |
|
"learning_rate": 0.00013136315228966987, |
|
"loss": 0.2047, |
|
"step": 1290 |
|
}, |
|
{ |
|
"epoch": 2.08, |
|
"learning_rate": 0.00013083067092651757, |
|
"loss": 0.28, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 2.08, |
|
"eval_accuracy": 0.8238341968911918, |
|
"eval_f1": 0.8023299870466322, |
|
"eval_loss": 0.5927017331123352, |
|
"eval_precision": 0.8468071334174415, |
|
"eval_recall": 0.8238341968911918, |
|
"eval_runtime": 1.4255, |
|
"eval_samples_per_second": 135.394, |
|
"eval_steps_per_second": 17.538, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 2.09, |
|
"learning_rate": 0.00013029818956336527, |
|
"loss": 0.2691, |
|
"step": 1310 |
|
}, |
|
{ |
|
"epoch": 2.11, |
|
"learning_rate": 0.00012976570820021302, |
|
"loss": 0.2565, |
|
"step": 1320 |
|
}, |
|
{ |
|
"epoch": 2.12, |
|
"learning_rate": 0.00012923322683706072, |
|
"loss": 0.2351, |
|
"step": 1330 |
|
}, |
|
{ |
|
"epoch": 2.14, |
|
"learning_rate": 0.00012870074547390842, |
|
"loss": 0.3709, |
|
"step": 1340 |
|
}, |
|
{ |
|
"epoch": 2.16, |
|
"learning_rate": 0.00012816826411075614, |
|
"loss": 0.2818, |
|
"step": 1350 |
|
}, |
|
{ |
|
"epoch": 2.17, |
|
"learning_rate": 0.00012763578274760384, |
|
"loss": 0.2715, |
|
"step": 1360 |
|
}, |
|
{ |
|
"epoch": 2.19, |
|
"learning_rate": 0.00012710330138445154, |
|
"loss": 0.2061, |
|
"step": 1370 |
|
}, |
|
{ |
|
"epoch": 2.2, |
|
"learning_rate": 0.00012657082002129924, |
|
"loss": 0.2897, |
|
"step": 1380 |
|
}, |
|
{ |
|
"epoch": 2.22, |
|
"learning_rate": 0.000126038338658147, |
|
"loss": 0.3189, |
|
"step": 1390 |
|
}, |
|
{ |
|
"epoch": 2.24, |
|
"learning_rate": 0.0001255058572949947, |
|
"loss": 0.2408, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 2.24, |
|
"eval_accuracy": 0.844559585492228, |
|
"eval_f1": 0.8399499972143294, |
|
"eval_loss": 0.46048107743263245, |
|
"eval_precision": 0.8502584577872601, |
|
"eval_recall": 0.844559585492228, |
|
"eval_runtime": 1.3777, |
|
"eval_samples_per_second": 140.091, |
|
"eval_steps_per_second": 18.147, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 2.25, |
|
"learning_rate": 0.0001249733759318424, |
|
"loss": 0.2581, |
|
"step": 1410 |
|
}, |
|
{ |
|
"epoch": 2.27, |
|
"learning_rate": 0.00012444089456869011, |
|
"loss": 0.3245, |
|
"step": 1420 |
|
}, |
|
{ |
|
"epoch": 2.28, |
|
"learning_rate": 0.0001239084132055378, |
|
"loss": 0.2711, |
|
"step": 1430 |
|
}, |
|
{ |
|
"epoch": 2.3, |
|
"learning_rate": 0.0001233759318423855, |
|
"loss": 0.1715, |
|
"step": 1440 |
|
}, |
|
{ |
|
"epoch": 2.32, |
|
"learning_rate": 0.00012284345047923324, |
|
"loss": 0.2997, |
|
"step": 1450 |
|
}, |
|
{ |
|
"epoch": 2.33, |
|
"learning_rate": 0.00012231096911608096, |
|
"loss": 0.3211, |
|
"step": 1460 |
|
}, |
|
{ |
|
"epoch": 2.35, |
|
"learning_rate": 0.00012177848775292866, |
|
"loss": 0.2979, |
|
"step": 1470 |
|
}, |
|
{ |
|
"epoch": 2.36, |
|
"learning_rate": 0.00012124600638977637, |
|
"loss": 0.3101, |
|
"step": 1480 |
|
}, |
|
{ |
|
"epoch": 2.38, |
|
"learning_rate": 0.00012071352502662407, |
|
"loss": 0.2338, |
|
"step": 1490 |
|
}, |
|
{ |
|
"epoch": 2.4, |
|
"learning_rate": 0.00012018104366347178, |
|
"loss": 0.2145, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 2.4, |
|
"eval_accuracy": 0.8341968911917098, |
|
"eval_f1": 0.8399037708608313, |
|
"eval_loss": 0.48647597432136536, |
|
"eval_precision": 0.857462518686231, |
|
"eval_recall": 0.8341968911917098, |
|
"eval_runtime": 1.4386, |
|
"eval_samples_per_second": 134.156, |
|
"eval_steps_per_second": 17.378, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 2.41, |
|
"learning_rate": 0.00011964856230031948, |
|
"loss": 0.1552, |
|
"step": 1510 |
|
}, |
|
{ |
|
"epoch": 2.43, |
|
"learning_rate": 0.0001191160809371672, |
|
"loss": 0.2341, |
|
"step": 1520 |
|
}, |
|
{ |
|
"epoch": 2.44, |
|
"learning_rate": 0.00011858359957401492, |
|
"loss": 0.2611, |
|
"step": 1530 |
|
}, |
|
{ |
|
"epoch": 2.46, |
|
"learning_rate": 0.00011805111821086263, |
|
"loss": 0.3338, |
|
"step": 1540 |
|
}, |
|
{ |
|
"epoch": 2.48, |
|
"learning_rate": 0.00011751863684771035, |
|
"loss": 0.2027, |
|
"step": 1550 |
|
}, |
|
{ |
|
"epoch": 2.49, |
|
"learning_rate": 0.00011698615548455804, |
|
"loss": 0.246, |
|
"step": 1560 |
|
}, |
|
{ |
|
"epoch": 2.51, |
|
"learning_rate": 0.00011645367412140576, |
|
"loss": 0.2501, |
|
"step": 1570 |
|
}, |
|
{ |
|
"epoch": 2.52, |
|
"learning_rate": 0.00011592119275825345, |
|
"loss": 0.2001, |
|
"step": 1580 |
|
}, |
|
{ |
|
"epoch": 2.54, |
|
"learning_rate": 0.00011538871139510117, |
|
"loss": 0.2775, |
|
"step": 1590 |
|
}, |
|
{ |
|
"epoch": 2.56, |
|
"learning_rate": 0.00011485623003194889, |
|
"loss": 0.3194, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 2.56, |
|
"eval_accuracy": 0.8497409326424871, |
|
"eval_f1": 0.8435052257391918, |
|
"eval_loss": 0.47271010279655457, |
|
"eval_precision": 0.8476361340579566, |
|
"eval_recall": 0.8497409326424871, |
|
"eval_runtime": 1.4929, |
|
"eval_samples_per_second": 129.279, |
|
"eval_steps_per_second": 16.746, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 2.57, |
|
"learning_rate": 0.0001143237486687966, |
|
"loss": 0.1092, |
|
"step": 1610 |
|
}, |
|
{ |
|
"epoch": 2.59, |
|
"learning_rate": 0.00011379126730564432, |
|
"loss": 0.2677, |
|
"step": 1620 |
|
}, |
|
{ |
|
"epoch": 2.6, |
|
"learning_rate": 0.00011325878594249201, |
|
"loss": 0.3687, |
|
"step": 1630 |
|
}, |
|
{ |
|
"epoch": 2.62, |
|
"learning_rate": 0.00011272630457933973, |
|
"loss": 0.2458, |
|
"step": 1640 |
|
}, |
|
{ |
|
"epoch": 2.64, |
|
"learning_rate": 0.00011219382321618744, |
|
"loss": 0.3641, |
|
"step": 1650 |
|
}, |
|
{ |
|
"epoch": 2.65, |
|
"learning_rate": 0.00011166134185303514, |
|
"loss": 0.1551, |
|
"step": 1660 |
|
}, |
|
{ |
|
"epoch": 2.67, |
|
"learning_rate": 0.00011112886048988286, |
|
"loss": 0.4259, |
|
"step": 1670 |
|
}, |
|
{ |
|
"epoch": 2.68, |
|
"learning_rate": 0.00011059637912673058, |
|
"loss": 0.2504, |
|
"step": 1680 |
|
}, |
|
{ |
|
"epoch": 2.7, |
|
"learning_rate": 0.00011006389776357829, |
|
"loss": 0.4175, |
|
"step": 1690 |
|
}, |
|
{ |
|
"epoch": 2.72, |
|
"learning_rate": 0.00010953141640042599, |
|
"loss": 0.2391, |
|
"step": 1700 |
|
}, |
|
{ |
|
"epoch": 2.72, |
|
"eval_accuracy": 0.844559585492228, |
|
"eval_f1": 0.8402048896568737, |
|
"eval_loss": 0.4676208198070526, |
|
"eval_precision": 0.8422952210750975, |
|
"eval_recall": 0.844559585492228, |
|
"eval_runtime": 1.4255, |
|
"eval_samples_per_second": 135.389, |
|
"eval_steps_per_second": 17.537, |
|
"step": 1700 |
|
}, |
|
{ |
|
"epoch": 2.73, |
|
"learning_rate": 0.0001089989350372737, |
|
"loss": 0.3173, |
|
"step": 1710 |
|
}, |
|
{ |
|
"epoch": 2.75, |
|
"learning_rate": 0.00010846645367412141, |
|
"loss": 0.1635, |
|
"step": 1720 |
|
}, |
|
{ |
|
"epoch": 2.76, |
|
"learning_rate": 0.00010793397231096911, |
|
"loss": 0.1839, |
|
"step": 1730 |
|
}, |
|
{ |
|
"epoch": 2.78, |
|
"learning_rate": 0.00010740149094781683, |
|
"loss": 0.2295, |
|
"step": 1740 |
|
}, |
|
{ |
|
"epoch": 2.8, |
|
"learning_rate": 0.00010686900958466455, |
|
"loss": 0.2353, |
|
"step": 1750 |
|
}, |
|
{ |
|
"epoch": 2.81, |
|
"learning_rate": 0.00010633652822151226, |
|
"loss": 0.2398, |
|
"step": 1760 |
|
}, |
|
{ |
|
"epoch": 2.83, |
|
"learning_rate": 0.00010580404685835996, |
|
"loss": 0.2059, |
|
"step": 1770 |
|
}, |
|
{ |
|
"epoch": 2.84, |
|
"learning_rate": 0.00010527156549520767, |
|
"loss": 0.2171, |
|
"step": 1780 |
|
}, |
|
{ |
|
"epoch": 2.86, |
|
"learning_rate": 0.00010473908413205538, |
|
"loss": 0.245, |
|
"step": 1790 |
|
}, |
|
{ |
|
"epoch": 2.88, |
|
"learning_rate": 0.00010420660276890308, |
|
"loss": 0.1828, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 2.88, |
|
"eval_accuracy": 0.8601036269430051, |
|
"eval_f1": 0.8624874419033628, |
|
"eval_loss": 0.433723121881485, |
|
"eval_precision": 0.8708761065207271, |
|
"eval_recall": 0.8601036269430051, |
|
"eval_runtime": 1.4311, |
|
"eval_samples_per_second": 134.86, |
|
"eval_steps_per_second": 17.469, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 2.89, |
|
"learning_rate": 0.0001036741214057508, |
|
"loss": 0.2974, |
|
"step": 1810 |
|
}, |
|
{ |
|
"epoch": 2.91, |
|
"learning_rate": 0.00010314164004259852, |
|
"loss": 0.3614, |
|
"step": 1820 |
|
}, |
|
{ |
|
"epoch": 2.92, |
|
"learning_rate": 0.00010260915867944623, |
|
"loss": 0.1654, |
|
"step": 1830 |
|
}, |
|
{ |
|
"epoch": 2.94, |
|
"learning_rate": 0.00010207667731629393, |
|
"loss": 0.2466, |
|
"step": 1840 |
|
}, |
|
{ |
|
"epoch": 2.96, |
|
"learning_rate": 0.00010154419595314164, |
|
"loss": 0.1736, |
|
"step": 1850 |
|
}, |
|
{ |
|
"epoch": 2.97, |
|
"learning_rate": 0.00010101171458998935, |
|
"loss": 0.2877, |
|
"step": 1860 |
|
}, |
|
{ |
|
"epoch": 2.99, |
|
"learning_rate": 0.00010047923322683705, |
|
"loss": 0.3447, |
|
"step": 1870 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 9.994675186368478e-05, |
|
"loss": 0.2438, |
|
"step": 1880 |
|
}, |
|
{ |
|
"epoch": 3.02, |
|
"learning_rate": 9.941427050053249e-05, |
|
"loss": 0.1226, |
|
"step": 1890 |
|
}, |
|
{ |
|
"epoch": 3.04, |
|
"learning_rate": 9.88817891373802e-05, |
|
"loss": 0.1232, |
|
"step": 1900 |
|
}, |
|
{ |
|
"epoch": 3.04, |
|
"eval_accuracy": 0.8601036269430051, |
|
"eval_f1": 0.864604353489067, |
|
"eval_loss": 0.45493900775909424, |
|
"eval_precision": 0.8726125083980296, |
|
"eval_recall": 0.8601036269430051, |
|
"eval_runtime": 1.495, |
|
"eval_samples_per_second": 129.094, |
|
"eval_steps_per_second": 16.722, |
|
"step": 1900 |
|
}, |
|
{ |
|
"epoch": 3.05, |
|
"learning_rate": 9.83493077742279e-05, |
|
"loss": 0.1233, |
|
"step": 1910 |
|
}, |
|
{ |
|
"epoch": 3.07, |
|
"learning_rate": 9.781682641107561e-05, |
|
"loss": 0.1722, |
|
"step": 1920 |
|
}, |
|
{ |
|
"epoch": 3.08, |
|
"learning_rate": 9.728434504792332e-05, |
|
"loss": 0.114, |
|
"step": 1930 |
|
}, |
|
{ |
|
"epoch": 3.1, |
|
"learning_rate": 9.675186368477104e-05, |
|
"loss": 0.073, |
|
"step": 1940 |
|
}, |
|
{ |
|
"epoch": 3.12, |
|
"learning_rate": 9.621938232161875e-05, |
|
"loss": 0.115, |
|
"step": 1950 |
|
}, |
|
{ |
|
"epoch": 3.13, |
|
"learning_rate": 9.568690095846646e-05, |
|
"loss": 0.086, |
|
"step": 1960 |
|
}, |
|
{ |
|
"epoch": 3.15, |
|
"learning_rate": 9.515441959531417e-05, |
|
"loss": 0.0939, |
|
"step": 1970 |
|
}, |
|
{ |
|
"epoch": 3.16, |
|
"learning_rate": 9.462193823216187e-05, |
|
"loss": 0.082, |
|
"step": 1980 |
|
}, |
|
{ |
|
"epoch": 3.18, |
|
"learning_rate": 9.408945686900958e-05, |
|
"loss": 0.1224, |
|
"step": 1990 |
|
}, |
|
{ |
|
"epoch": 3.19, |
|
"learning_rate": 9.355697550585731e-05, |
|
"loss": 0.0929, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 3.19, |
|
"eval_accuracy": 0.8497409326424871, |
|
"eval_f1": 0.8520891403446254, |
|
"eval_loss": 0.5939182043075562, |
|
"eval_precision": 0.86060710532408, |
|
"eval_recall": 0.8497409326424871, |
|
"eval_runtime": 1.4945, |
|
"eval_samples_per_second": 129.138, |
|
"eval_steps_per_second": 16.728, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 3.21, |
|
"learning_rate": 9.302449414270501e-05, |
|
"loss": 0.0937, |
|
"step": 2010 |
|
}, |
|
{ |
|
"epoch": 3.23, |
|
"learning_rate": 9.249201277955272e-05, |
|
"loss": 0.0459, |
|
"step": 2020 |
|
}, |
|
{ |
|
"epoch": 3.24, |
|
"learning_rate": 9.195953141640043e-05, |
|
"loss": 0.2179, |
|
"step": 2030 |
|
}, |
|
{ |
|
"epoch": 3.26, |
|
"learning_rate": 9.142705005324814e-05, |
|
"loss": 0.1042, |
|
"step": 2040 |
|
}, |
|
{ |
|
"epoch": 3.27, |
|
"learning_rate": 9.089456869009584e-05, |
|
"loss": 0.07, |
|
"step": 2050 |
|
}, |
|
{ |
|
"epoch": 3.29, |
|
"learning_rate": 9.036208732694355e-05, |
|
"loss": 0.1633, |
|
"step": 2060 |
|
}, |
|
{ |
|
"epoch": 3.31, |
|
"learning_rate": 8.982960596379128e-05, |
|
"loss": 0.1169, |
|
"step": 2070 |
|
}, |
|
{ |
|
"epoch": 3.32, |
|
"learning_rate": 8.929712460063898e-05, |
|
"loss": 0.0455, |
|
"step": 2080 |
|
}, |
|
{ |
|
"epoch": 3.34, |
|
"learning_rate": 8.876464323748669e-05, |
|
"loss": 0.0547, |
|
"step": 2090 |
|
}, |
|
{ |
|
"epoch": 3.35, |
|
"learning_rate": 8.82321618743344e-05, |
|
"loss": 0.0559, |
|
"step": 2100 |
|
}, |
|
{ |
|
"epoch": 3.35, |
|
"eval_accuracy": 0.8290155440414507, |
|
"eval_f1": 0.8236693358455016, |
|
"eval_loss": 0.580689013004303, |
|
"eval_precision": 0.8242500909768313, |
|
"eval_recall": 0.8290155440414507, |
|
"eval_runtime": 1.4214, |
|
"eval_samples_per_second": 135.781, |
|
"eval_steps_per_second": 17.588, |
|
"step": 2100 |
|
}, |
|
{ |
|
"epoch": 3.37, |
|
"learning_rate": 8.769968051118212e-05, |
|
"loss": 0.175, |
|
"step": 2110 |
|
}, |
|
{ |
|
"epoch": 3.39, |
|
"learning_rate": 8.716719914802983e-05, |
|
"loss": 0.136, |
|
"step": 2120 |
|
}, |
|
{ |
|
"epoch": 3.4, |
|
"learning_rate": 8.663471778487753e-05, |
|
"loss": 0.0599, |
|
"step": 2130 |
|
}, |
|
{ |
|
"epoch": 3.42, |
|
"learning_rate": 8.610223642172525e-05, |
|
"loss": 0.0872, |
|
"step": 2140 |
|
}, |
|
{ |
|
"epoch": 3.43, |
|
"learning_rate": 8.556975505857295e-05, |
|
"loss": 0.1796, |
|
"step": 2150 |
|
}, |
|
{ |
|
"epoch": 3.45, |
|
"learning_rate": 8.503727369542066e-05, |
|
"loss": 0.0727, |
|
"step": 2160 |
|
}, |
|
{ |
|
"epoch": 3.47, |
|
"learning_rate": 8.450479233226837e-05, |
|
"loss": 0.0664, |
|
"step": 2170 |
|
}, |
|
{ |
|
"epoch": 3.48, |
|
"learning_rate": 8.397231096911609e-05, |
|
"loss": 0.0176, |
|
"step": 2180 |
|
}, |
|
{ |
|
"epoch": 3.5, |
|
"learning_rate": 8.34398296059638e-05, |
|
"loss": 0.0838, |
|
"step": 2190 |
|
}, |
|
{ |
|
"epoch": 3.51, |
|
"learning_rate": 8.29073482428115e-05, |
|
"loss": 0.1833, |
|
"step": 2200 |
|
}, |
|
{ |
|
"epoch": 3.51, |
|
"eval_accuracy": 0.8601036269430051, |
|
"eval_f1": 0.8609735593630476, |
|
"eval_loss": 0.5234777331352234, |
|
"eval_precision": 0.8636060098945884, |
|
"eval_recall": 0.8601036269430051, |
|
"eval_runtime": 1.429, |
|
"eval_samples_per_second": 135.056, |
|
"eval_steps_per_second": 17.494, |
|
"step": 2200 |
|
}, |
|
{ |
|
"epoch": 3.53, |
|
"learning_rate": 8.237486687965922e-05, |
|
"loss": 0.0984, |
|
"step": 2210 |
|
}, |
|
{ |
|
"epoch": 3.55, |
|
"learning_rate": 8.184238551650692e-05, |
|
"loss": 0.1189, |
|
"step": 2220 |
|
}, |
|
{ |
|
"epoch": 3.56, |
|
"learning_rate": 8.130990415335463e-05, |
|
"loss": 0.0526, |
|
"step": 2230 |
|
}, |
|
{ |
|
"epoch": 3.58, |
|
"learning_rate": 8.077742279020235e-05, |
|
"loss": 0.1402, |
|
"step": 2240 |
|
}, |
|
{ |
|
"epoch": 3.59, |
|
"learning_rate": 8.024494142705006e-05, |
|
"loss": 0.1102, |
|
"step": 2250 |
|
}, |
|
{ |
|
"epoch": 3.61, |
|
"learning_rate": 7.971246006389777e-05, |
|
"loss": 0.1409, |
|
"step": 2260 |
|
}, |
|
{ |
|
"epoch": 3.63, |
|
"learning_rate": 7.917997870074548e-05, |
|
"loss": 0.0704, |
|
"step": 2270 |
|
}, |
|
{ |
|
"epoch": 3.64, |
|
"learning_rate": 7.86474973375932e-05, |
|
"loss": 0.1156, |
|
"step": 2280 |
|
}, |
|
{ |
|
"epoch": 3.66, |
|
"learning_rate": 7.811501597444089e-05, |
|
"loss": 0.0989, |
|
"step": 2290 |
|
}, |
|
{ |
|
"epoch": 3.67, |
|
"learning_rate": 7.75825346112886e-05, |
|
"loss": 0.1395, |
|
"step": 2300 |
|
}, |
|
{ |
|
"epoch": 3.67, |
|
"eval_accuracy": 0.8134715025906736, |
|
"eval_f1": 0.820806815758547, |
|
"eval_loss": 0.674992561340332, |
|
"eval_precision": 0.8465714575985837, |
|
"eval_recall": 0.8134715025906736, |
|
"eval_runtime": 1.6253, |
|
"eval_samples_per_second": 118.748, |
|
"eval_steps_per_second": 15.382, |
|
"step": 2300 |
|
}, |
|
{ |
|
"epoch": 3.69, |
|
"learning_rate": 7.705005324813632e-05, |
|
"loss": 0.1346, |
|
"step": 2310 |
|
}, |
|
{ |
|
"epoch": 3.71, |
|
"learning_rate": 7.651757188498403e-05, |
|
"loss": 0.1195, |
|
"step": 2320 |
|
}, |
|
{ |
|
"epoch": 3.72, |
|
"learning_rate": 7.598509052183174e-05, |
|
"loss": 0.0902, |
|
"step": 2330 |
|
}, |
|
{ |
|
"epoch": 3.74, |
|
"learning_rate": 7.545260915867945e-05, |
|
"loss": 0.0753, |
|
"step": 2340 |
|
}, |
|
{ |
|
"epoch": 3.75, |
|
"learning_rate": 7.492012779552717e-05, |
|
"loss": 0.0883, |
|
"step": 2350 |
|
}, |
|
{ |
|
"epoch": 3.77, |
|
"learning_rate": 7.438764643237486e-05, |
|
"loss": 0.0992, |
|
"step": 2360 |
|
}, |
|
{ |
|
"epoch": 3.79, |
|
"learning_rate": 7.385516506922258e-05, |
|
"loss": 0.1442, |
|
"step": 2370 |
|
}, |
|
{ |
|
"epoch": 3.8, |
|
"learning_rate": 7.332268370607029e-05, |
|
"loss": 0.1138, |
|
"step": 2380 |
|
}, |
|
{ |
|
"epoch": 3.82, |
|
"learning_rate": 7.2790202342918e-05, |
|
"loss": 0.1553, |
|
"step": 2390 |
|
}, |
|
{ |
|
"epoch": 3.83, |
|
"learning_rate": 7.225772097976571e-05, |
|
"loss": 0.0485, |
|
"step": 2400 |
|
}, |
|
{ |
|
"epoch": 3.83, |
|
"eval_accuracy": 0.8860103626943006, |
|
"eval_f1": 0.885639852691223, |
|
"eval_loss": 0.44308164715766907, |
|
"eval_precision": 0.8887689502974477, |
|
"eval_recall": 0.8860103626943006, |
|
"eval_runtime": 1.5974, |
|
"eval_samples_per_second": 120.822, |
|
"eval_steps_per_second": 15.651, |
|
"step": 2400 |
|
}, |
|
{ |
|
"epoch": 3.85, |
|
"learning_rate": 7.172523961661343e-05, |
|
"loss": 0.1022, |
|
"step": 2410 |
|
}, |
|
{ |
|
"epoch": 3.87, |
|
"learning_rate": 7.119275825346114e-05, |
|
"loss": 0.1077, |
|
"step": 2420 |
|
}, |
|
{ |
|
"epoch": 3.88, |
|
"learning_rate": 7.066027689030884e-05, |
|
"loss": 0.1688, |
|
"step": 2430 |
|
}, |
|
{ |
|
"epoch": 3.9, |
|
"learning_rate": 7.012779552715655e-05, |
|
"loss": 0.0722, |
|
"step": 2440 |
|
}, |
|
{ |
|
"epoch": 3.91, |
|
"learning_rate": 6.959531416400426e-05, |
|
"loss": 0.0801, |
|
"step": 2450 |
|
}, |
|
{ |
|
"epoch": 3.93, |
|
"learning_rate": 6.906283280085197e-05, |
|
"loss": 0.021, |
|
"step": 2460 |
|
}, |
|
{ |
|
"epoch": 3.95, |
|
"learning_rate": 6.853035143769968e-05, |
|
"loss": 0.1538, |
|
"step": 2470 |
|
}, |
|
{ |
|
"epoch": 3.96, |
|
"learning_rate": 6.79978700745474e-05, |
|
"loss": 0.0944, |
|
"step": 2480 |
|
}, |
|
{ |
|
"epoch": 3.98, |
|
"learning_rate": 6.746538871139511e-05, |
|
"loss": 0.0663, |
|
"step": 2490 |
|
}, |
|
{ |
|
"epoch": 3.99, |
|
"learning_rate": 6.693290734824281e-05, |
|
"loss": 0.1206, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 3.99, |
|
"eval_accuracy": 0.8393782383419689, |
|
"eval_f1": 0.8375225030319982, |
|
"eval_loss": 0.5491106510162354, |
|
"eval_precision": 0.8477221585625083, |
|
"eval_recall": 0.8393782383419689, |
|
"eval_runtime": 1.4337, |
|
"eval_samples_per_second": 134.621, |
|
"eval_steps_per_second": 17.438, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 4.01, |
|
"learning_rate": 6.640042598509052e-05, |
|
"loss": 0.0565, |
|
"step": 2510 |
|
}, |
|
{ |
|
"epoch": 4.03, |
|
"learning_rate": 6.586794462193823e-05, |
|
"loss": 0.0323, |
|
"step": 2520 |
|
}, |
|
{ |
|
"epoch": 4.04, |
|
"learning_rate": 6.533546325878594e-05, |
|
"loss": 0.0655, |
|
"step": 2530 |
|
}, |
|
{ |
|
"epoch": 4.06, |
|
"learning_rate": 6.480298189563366e-05, |
|
"loss": 0.0289, |
|
"step": 2540 |
|
}, |
|
{ |
|
"epoch": 4.07, |
|
"learning_rate": 6.427050053248137e-05, |
|
"loss": 0.0975, |
|
"step": 2550 |
|
}, |
|
{ |
|
"epoch": 4.09, |
|
"learning_rate": 6.373801916932908e-05, |
|
"loss": 0.0777, |
|
"step": 2560 |
|
}, |
|
{ |
|
"epoch": 4.11, |
|
"learning_rate": 6.320553780617678e-05, |
|
"loss": 0.0391, |
|
"step": 2570 |
|
}, |
|
{ |
|
"epoch": 4.12, |
|
"learning_rate": 6.26730564430245e-05, |
|
"loss": 0.0266, |
|
"step": 2580 |
|
}, |
|
{ |
|
"epoch": 4.14, |
|
"learning_rate": 6.214057507987222e-05, |
|
"loss": 0.0325, |
|
"step": 2590 |
|
}, |
|
{ |
|
"epoch": 4.15, |
|
"learning_rate": 6.160809371671991e-05, |
|
"loss": 0.0485, |
|
"step": 2600 |
|
}, |
|
{ |
|
"epoch": 4.15, |
|
"eval_accuracy": 0.8652849740932642, |
|
"eval_f1": 0.8676890818288896, |
|
"eval_loss": 0.5288814306259155, |
|
"eval_precision": 0.8744135727666489, |
|
"eval_recall": 0.8652849740932642, |
|
"eval_runtime": 1.6432, |
|
"eval_samples_per_second": 117.451, |
|
"eval_steps_per_second": 15.214, |
|
"step": 2600 |
|
}, |
|
{ |
|
"epoch": 4.17, |
|
"learning_rate": 6.107561235356763e-05, |
|
"loss": 0.0644, |
|
"step": 2610 |
|
}, |
|
{ |
|
"epoch": 4.19, |
|
"learning_rate": 6.054313099041534e-05, |
|
"loss": 0.0089, |
|
"step": 2620 |
|
}, |
|
{ |
|
"epoch": 4.2, |
|
"learning_rate": 6.001064962726305e-05, |
|
"loss": 0.0103, |
|
"step": 2630 |
|
}, |
|
{ |
|
"epoch": 4.22, |
|
"learning_rate": 5.9478168264110756e-05, |
|
"loss": 0.0293, |
|
"step": 2640 |
|
}, |
|
{ |
|
"epoch": 4.23, |
|
"learning_rate": 5.8945686900958475e-05, |
|
"loss": 0.0282, |
|
"step": 2650 |
|
}, |
|
{ |
|
"epoch": 4.25, |
|
"learning_rate": 5.841320553780618e-05, |
|
"loss": 0.0214, |
|
"step": 2660 |
|
}, |
|
{ |
|
"epoch": 4.27, |
|
"learning_rate": 5.7880724174653886e-05, |
|
"loss": 0.0148, |
|
"step": 2670 |
|
}, |
|
{ |
|
"epoch": 4.28, |
|
"learning_rate": 5.73482428115016e-05, |
|
"loss": 0.0185, |
|
"step": 2680 |
|
}, |
|
{ |
|
"epoch": 4.3, |
|
"learning_rate": 5.681576144834932e-05, |
|
"loss": 0.0058, |
|
"step": 2690 |
|
}, |
|
{ |
|
"epoch": 4.31, |
|
"learning_rate": 5.628328008519702e-05, |
|
"loss": 0.0494, |
|
"step": 2700 |
|
}, |
|
{ |
|
"epoch": 4.31, |
|
"eval_accuracy": 0.8601036269430051, |
|
"eval_f1": 0.8602912574839866, |
|
"eval_loss": 0.5664997696876526, |
|
"eval_precision": 0.8633398594607762, |
|
"eval_recall": 0.8601036269430051, |
|
"eval_runtime": 1.4897, |
|
"eval_samples_per_second": 129.556, |
|
"eval_steps_per_second": 16.782, |
|
"step": 2700 |
|
}, |
|
{ |
|
"epoch": 4.33, |
|
"learning_rate": 5.575079872204473e-05, |
|
"loss": 0.0061, |
|
"step": 2710 |
|
}, |
|
{ |
|
"epoch": 4.35, |
|
"learning_rate": 5.521831735889245e-05, |
|
"loss": 0.0181, |
|
"step": 2720 |
|
}, |
|
{ |
|
"epoch": 4.36, |
|
"learning_rate": 5.468583599574015e-05, |
|
"loss": 0.0119, |
|
"step": 2730 |
|
}, |
|
{ |
|
"epoch": 4.38, |
|
"learning_rate": 5.415335463258786e-05, |
|
"loss": 0.0052, |
|
"step": 2740 |
|
}, |
|
{ |
|
"epoch": 4.39, |
|
"learning_rate": 5.362087326943557e-05, |
|
"loss": 0.0087, |
|
"step": 2750 |
|
}, |
|
{ |
|
"epoch": 4.41, |
|
"learning_rate": 5.308839190628329e-05, |
|
"loss": 0.0473, |
|
"step": 2760 |
|
}, |
|
{ |
|
"epoch": 4.42, |
|
"learning_rate": 5.2555910543130994e-05, |
|
"loss": 0.0859, |
|
"step": 2770 |
|
}, |
|
{ |
|
"epoch": 4.44, |
|
"learning_rate": 5.20234291799787e-05, |
|
"loss": 0.0787, |
|
"step": 2780 |
|
}, |
|
{ |
|
"epoch": 4.46, |
|
"learning_rate": 5.149094781682642e-05, |
|
"loss": 0.0431, |
|
"step": 2790 |
|
}, |
|
{ |
|
"epoch": 4.47, |
|
"learning_rate": 5.095846645367412e-05, |
|
"loss": 0.0062, |
|
"step": 2800 |
|
}, |
|
{ |
|
"epoch": 4.47, |
|
"eval_accuracy": 0.8497409326424871, |
|
"eval_f1": 0.8478513270593213, |
|
"eval_loss": 0.6186147928237915, |
|
"eval_precision": 0.8546696007885869, |
|
"eval_recall": 0.8497409326424871, |
|
"eval_runtime": 1.4697, |
|
"eval_samples_per_second": 131.324, |
|
"eval_steps_per_second": 17.011, |
|
"step": 2800 |
|
}, |
|
{ |
|
"epoch": 4.49, |
|
"learning_rate": 5.0425985090521835e-05, |
|
"loss": 0.0604, |
|
"step": 2810 |
|
}, |
|
{ |
|
"epoch": 4.5, |
|
"learning_rate": 4.989350372736955e-05, |
|
"loss": 0.0073, |
|
"step": 2820 |
|
}, |
|
{ |
|
"epoch": 4.52, |
|
"learning_rate": 4.936102236421725e-05, |
|
"loss": 0.0554, |
|
"step": 2830 |
|
}, |
|
{ |
|
"epoch": 4.54, |
|
"learning_rate": 4.8828541001064965e-05, |
|
"loss": 0.0458, |
|
"step": 2840 |
|
}, |
|
{ |
|
"epoch": 4.55, |
|
"learning_rate": 4.829605963791268e-05, |
|
"loss": 0.0089, |
|
"step": 2850 |
|
}, |
|
{ |
|
"epoch": 4.57, |
|
"learning_rate": 4.776357827476038e-05, |
|
"loss": 0.0069, |
|
"step": 2860 |
|
}, |
|
{ |
|
"epoch": 4.58, |
|
"learning_rate": 4.7231096911608095e-05, |
|
"loss": 0.0574, |
|
"step": 2870 |
|
}, |
|
{ |
|
"epoch": 4.6, |
|
"learning_rate": 4.669861554845581e-05, |
|
"loss": 0.0057, |
|
"step": 2880 |
|
}, |
|
{ |
|
"epoch": 4.62, |
|
"learning_rate": 4.616613418530352e-05, |
|
"loss": 0.0819, |
|
"step": 2890 |
|
}, |
|
{ |
|
"epoch": 4.63, |
|
"learning_rate": 4.563365282215123e-05, |
|
"loss": 0.0065, |
|
"step": 2900 |
|
}, |
|
{ |
|
"epoch": 4.63, |
|
"eval_accuracy": 0.8756476683937824, |
|
"eval_f1": 0.8728464968594524, |
|
"eval_loss": 0.5823409557342529, |
|
"eval_precision": 0.8737292973366059, |
|
"eval_recall": 0.8756476683937824, |
|
"eval_runtime": 1.5056, |
|
"eval_samples_per_second": 128.19, |
|
"eval_steps_per_second": 16.605, |
|
"step": 2900 |
|
}, |
|
{ |
|
"epoch": 4.65, |
|
"learning_rate": 4.5101171458998936e-05, |
|
"loss": 0.0171, |
|
"step": 2910 |
|
}, |
|
{ |
|
"epoch": 4.66, |
|
"learning_rate": 4.456869009584665e-05, |
|
"loss": 0.0063, |
|
"step": 2920 |
|
}, |
|
{ |
|
"epoch": 4.68, |
|
"learning_rate": 4.4036208732694354e-05, |
|
"loss": 0.0705, |
|
"step": 2930 |
|
}, |
|
{ |
|
"epoch": 4.7, |
|
"learning_rate": 4.3503727369542066e-05, |
|
"loss": 0.0335, |
|
"step": 2940 |
|
}, |
|
{ |
|
"epoch": 4.71, |
|
"learning_rate": 4.297124600638978e-05, |
|
"loss": 0.0526, |
|
"step": 2950 |
|
}, |
|
{ |
|
"epoch": 4.73, |
|
"learning_rate": 4.243876464323749e-05, |
|
"loss": 0.0058, |
|
"step": 2960 |
|
}, |
|
{ |
|
"epoch": 4.74, |
|
"learning_rate": 4.19062832800852e-05, |
|
"loss": 0.0173, |
|
"step": 2970 |
|
}, |
|
{ |
|
"epoch": 4.76, |
|
"learning_rate": 4.137380191693291e-05, |
|
"loss": 0.0483, |
|
"step": 2980 |
|
}, |
|
{ |
|
"epoch": 4.78, |
|
"learning_rate": 4.084132055378062e-05, |
|
"loss": 0.0076, |
|
"step": 2990 |
|
}, |
|
{ |
|
"epoch": 4.79, |
|
"learning_rate": 4.0308839190628325e-05, |
|
"loss": 0.0045, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 4.79, |
|
"eval_accuracy": 0.8704663212435233, |
|
"eval_f1": 0.8698843579901536, |
|
"eval_loss": 0.5800853967666626, |
|
"eval_precision": 0.8724272893958966, |
|
"eval_recall": 0.8704663212435233, |
|
"eval_runtime": 1.5036, |
|
"eval_samples_per_second": 128.362, |
|
"eval_steps_per_second": 16.627, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 4.81, |
|
"learning_rate": 3.9776357827476044e-05, |
|
"loss": 0.0324, |
|
"step": 3010 |
|
}, |
|
{ |
|
"epoch": 4.82, |
|
"learning_rate": 3.9243876464323756e-05, |
|
"loss": 0.034, |
|
"step": 3020 |
|
}, |
|
{ |
|
"epoch": 4.84, |
|
"learning_rate": 3.871139510117146e-05, |
|
"loss": 0.0043, |
|
"step": 3030 |
|
}, |
|
{ |
|
"epoch": 4.86, |
|
"learning_rate": 3.8178913738019174e-05, |
|
"loss": 0.063, |
|
"step": 3040 |
|
}, |
|
{ |
|
"epoch": 4.87, |
|
"learning_rate": 3.764643237486688e-05, |
|
"loss": 0.0054, |
|
"step": 3050 |
|
}, |
|
{ |
|
"epoch": 4.89, |
|
"learning_rate": 3.711395101171459e-05, |
|
"loss": 0.0056, |
|
"step": 3060 |
|
}, |
|
{ |
|
"epoch": 4.9, |
|
"learning_rate": 3.65814696485623e-05, |
|
"loss": 0.0076, |
|
"step": 3070 |
|
}, |
|
{ |
|
"epoch": 4.92, |
|
"learning_rate": 3.6048988285410015e-05, |
|
"loss": 0.0377, |
|
"step": 3080 |
|
}, |
|
{ |
|
"epoch": 4.94, |
|
"learning_rate": 3.551650692225773e-05, |
|
"loss": 0.0118, |
|
"step": 3090 |
|
}, |
|
{ |
|
"epoch": 4.95, |
|
"learning_rate": 3.498402555910543e-05, |
|
"loss": 0.038, |
|
"step": 3100 |
|
}, |
|
{ |
|
"epoch": 4.95, |
|
"eval_accuracy": 0.8393782383419689, |
|
"eval_f1": 0.8404874328190347, |
|
"eval_loss": 0.654182493686676, |
|
"eval_precision": 0.8471590163920663, |
|
"eval_recall": 0.8393782383419689, |
|
"eval_runtime": 1.4009, |
|
"eval_samples_per_second": 137.764, |
|
"eval_steps_per_second": 17.845, |
|
"step": 3100 |
|
}, |
|
{ |
|
"epoch": 4.97, |
|
"learning_rate": 3.4451544195953145e-05, |
|
"loss": 0.0058, |
|
"step": 3110 |
|
}, |
|
{ |
|
"epoch": 4.98, |
|
"learning_rate": 3.391906283280085e-05, |
|
"loss": 0.0324, |
|
"step": 3120 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 3.338658146964856e-05, |
|
"loss": 0.0643, |
|
"step": 3130 |
|
}, |
|
{ |
|
"epoch": 5.02, |
|
"learning_rate": 3.2854100106496274e-05, |
|
"loss": 0.0185, |
|
"step": 3140 |
|
}, |
|
{ |
|
"epoch": 5.03, |
|
"learning_rate": 3.2321618743343987e-05, |
|
"loss": 0.0062, |
|
"step": 3150 |
|
}, |
|
{ |
|
"epoch": 5.05, |
|
"learning_rate": 3.17891373801917e-05, |
|
"loss": 0.0041, |
|
"step": 3160 |
|
}, |
|
{ |
|
"epoch": 5.06, |
|
"learning_rate": 3.1256656017039404e-05, |
|
"loss": 0.0032, |
|
"step": 3170 |
|
}, |
|
{ |
|
"epoch": 5.08, |
|
"learning_rate": 3.0724174653887116e-05, |
|
"loss": 0.0252, |
|
"step": 3180 |
|
}, |
|
{ |
|
"epoch": 5.1, |
|
"learning_rate": 3.0191693290734825e-05, |
|
"loss": 0.0029, |
|
"step": 3190 |
|
}, |
|
{ |
|
"epoch": 5.11, |
|
"learning_rate": 2.9659211927582537e-05, |
|
"loss": 0.0035, |
|
"step": 3200 |
|
}, |
|
{ |
|
"epoch": 5.11, |
|
"eval_accuracy": 0.8652849740932642, |
|
"eval_f1": 0.8653389841057969, |
|
"eval_loss": 0.6028582453727722, |
|
"eval_precision": 0.8713586643638457, |
|
"eval_recall": 0.8652849740932642, |
|
"eval_runtime": 1.4572, |
|
"eval_samples_per_second": 132.443, |
|
"eval_steps_per_second": 17.156, |
|
"step": 3200 |
|
}, |
|
{ |
|
"epoch": 5.13, |
|
"learning_rate": 2.912673056443025e-05, |
|
"loss": 0.0033, |
|
"step": 3210 |
|
}, |
|
{ |
|
"epoch": 5.14, |
|
"learning_rate": 2.8594249201277955e-05, |
|
"loss": 0.0029, |
|
"step": 3220 |
|
}, |
|
{ |
|
"epoch": 5.16, |
|
"learning_rate": 2.806176783812567e-05, |
|
"loss": 0.0033, |
|
"step": 3230 |
|
}, |
|
{ |
|
"epoch": 5.18, |
|
"learning_rate": 2.7529286474973375e-05, |
|
"loss": 0.0038, |
|
"step": 3240 |
|
}, |
|
{ |
|
"epoch": 5.19, |
|
"learning_rate": 2.6996805111821088e-05, |
|
"loss": 0.0031, |
|
"step": 3250 |
|
}, |
|
{ |
|
"epoch": 5.21, |
|
"learning_rate": 2.6464323748668796e-05, |
|
"loss": 0.003, |
|
"step": 3260 |
|
}, |
|
{ |
|
"epoch": 5.22, |
|
"learning_rate": 2.593184238551651e-05, |
|
"loss": 0.0115, |
|
"step": 3270 |
|
}, |
|
{ |
|
"epoch": 5.24, |
|
"learning_rate": 2.539936102236422e-05, |
|
"loss": 0.0219, |
|
"step": 3280 |
|
}, |
|
{ |
|
"epoch": 5.26, |
|
"learning_rate": 2.486687965921193e-05, |
|
"loss": 0.003, |
|
"step": 3290 |
|
}, |
|
{ |
|
"epoch": 5.27, |
|
"learning_rate": 2.4334398296059638e-05, |
|
"loss": 0.0031, |
|
"step": 3300 |
|
}, |
|
{ |
|
"epoch": 5.27, |
|
"eval_accuracy": 0.8601036269430051, |
|
"eval_f1": 0.8581969638224265, |
|
"eval_loss": 0.6385093927383423, |
|
"eval_precision": 0.8653198213208406, |
|
"eval_recall": 0.8601036269430051, |
|
"eval_runtime": 1.5005, |
|
"eval_samples_per_second": 128.623, |
|
"eval_steps_per_second": 16.661, |
|
"step": 3300 |
|
}, |
|
{ |
|
"epoch": 5.29, |
|
"learning_rate": 2.380191693290735e-05, |
|
"loss": 0.0031, |
|
"step": 3310 |
|
}, |
|
{ |
|
"epoch": 5.3, |
|
"learning_rate": 2.326943556975506e-05, |
|
"loss": 0.0034, |
|
"step": 3320 |
|
}, |
|
{ |
|
"epoch": 5.32, |
|
"learning_rate": 2.273695420660277e-05, |
|
"loss": 0.0031, |
|
"step": 3330 |
|
}, |
|
{ |
|
"epoch": 5.34, |
|
"learning_rate": 2.220447284345048e-05, |
|
"loss": 0.0065, |
|
"step": 3340 |
|
}, |
|
{ |
|
"epoch": 5.35, |
|
"learning_rate": 2.167199148029819e-05, |
|
"loss": 0.0031, |
|
"step": 3350 |
|
}, |
|
{ |
|
"epoch": 5.37, |
|
"learning_rate": 2.11395101171459e-05, |
|
"loss": 0.003, |
|
"step": 3360 |
|
}, |
|
{ |
|
"epoch": 5.38, |
|
"learning_rate": 2.0607028753993613e-05, |
|
"loss": 0.0028, |
|
"step": 3370 |
|
}, |
|
{ |
|
"epoch": 5.4, |
|
"learning_rate": 2.007454739084132e-05, |
|
"loss": 0.0029, |
|
"step": 3380 |
|
}, |
|
{ |
|
"epoch": 5.42, |
|
"learning_rate": 1.9542066027689034e-05, |
|
"loss": 0.0031, |
|
"step": 3390 |
|
}, |
|
{ |
|
"epoch": 5.43, |
|
"learning_rate": 1.9009584664536742e-05, |
|
"loss": 0.0029, |
|
"step": 3400 |
|
}, |
|
{ |
|
"epoch": 5.43, |
|
"eval_accuracy": 0.8704663212435233, |
|
"eval_f1": 0.867615361571679, |
|
"eval_loss": 0.6132028698921204, |
|
"eval_precision": 0.883001891602928, |
|
"eval_recall": 0.8704663212435233, |
|
"eval_runtime": 1.5211, |
|
"eval_samples_per_second": 126.882, |
|
"eval_steps_per_second": 16.436, |
|
"step": 3400 |
|
}, |
|
{ |
|
"epoch": 5.45, |
|
"learning_rate": 1.847710330138445e-05, |
|
"loss": 0.0388, |
|
"step": 3410 |
|
}, |
|
{ |
|
"epoch": 5.46, |
|
"learning_rate": 1.7944621938232163e-05, |
|
"loss": 0.003, |
|
"step": 3420 |
|
}, |
|
{ |
|
"epoch": 5.48, |
|
"learning_rate": 1.7412140575079875e-05, |
|
"loss": 0.0231, |
|
"step": 3430 |
|
}, |
|
{ |
|
"epoch": 5.5, |
|
"learning_rate": 1.6879659211927584e-05, |
|
"loss": 0.0032, |
|
"step": 3440 |
|
}, |
|
{ |
|
"epoch": 5.51, |
|
"learning_rate": 1.6347177848775293e-05, |
|
"loss": 0.0044, |
|
"step": 3450 |
|
}, |
|
{ |
|
"epoch": 5.53, |
|
"learning_rate": 1.5814696485623005e-05, |
|
"loss": 0.0031, |
|
"step": 3460 |
|
}, |
|
{ |
|
"epoch": 5.54, |
|
"learning_rate": 1.5282215122470714e-05, |
|
"loss": 0.0028, |
|
"step": 3470 |
|
}, |
|
{ |
|
"epoch": 5.56, |
|
"learning_rate": 1.4749733759318424e-05, |
|
"loss": 0.0033, |
|
"step": 3480 |
|
}, |
|
{ |
|
"epoch": 5.58, |
|
"learning_rate": 1.4217252396166134e-05, |
|
"loss": 0.003, |
|
"step": 3490 |
|
}, |
|
{ |
|
"epoch": 5.59, |
|
"learning_rate": 1.3684771033013847e-05, |
|
"loss": 0.0039, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 5.59, |
|
"eval_accuracy": 0.8652849740932642, |
|
"eval_f1": 0.8638885525134503, |
|
"eval_loss": 0.6398009657859802, |
|
"eval_precision": 0.8814954336431856, |
|
"eval_recall": 0.8652849740932642, |
|
"eval_runtime": 1.4856, |
|
"eval_samples_per_second": 129.91, |
|
"eval_steps_per_second": 16.828, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 5.61, |
|
"learning_rate": 1.3152289669861555e-05, |
|
"loss": 0.0029, |
|
"step": 3510 |
|
}, |
|
{ |
|
"epoch": 5.62, |
|
"learning_rate": 1.2619808306709266e-05, |
|
"loss": 0.0031, |
|
"step": 3520 |
|
}, |
|
{ |
|
"epoch": 5.64, |
|
"learning_rate": 1.2087326943556976e-05, |
|
"loss": 0.0024, |
|
"step": 3530 |
|
}, |
|
{ |
|
"epoch": 5.65, |
|
"learning_rate": 1.1554845580404687e-05, |
|
"loss": 0.0025, |
|
"step": 3540 |
|
}, |
|
{ |
|
"epoch": 5.67, |
|
"learning_rate": 1.1022364217252397e-05, |
|
"loss": 0.003, |
|
"step": 3550 |
|
}, |
|
{ |
|
"epoch": 5.69, |
|
"learning_rate": 1.0489882854100107e-05, |
|
"loss": 0.0026, |
|
"step": 3560 |
|
}, |
|
{ |
|
"epoch": 5.7, |
|
"learning_rate": 9.957401490947816e-06, |
|
"loss": 0.0024, |
|
"step": 3570 |
|
}, |
|
{ |
|
"epoch": 5.72, |
|
"learning_rate": 9.424920127795528e-06, |
|
"loss": 0.0034, |
|
"step": 3580 |
|
}, |
|
{ |
|
"epoch": 5.73, |
|
"learning_rate": 8.892438764643237e-06, |
|
"loss": 0.0055, |
|
"step": 3590 |
|
}, |
|
{ |
|
"epoch": 5.75, |
|
"learning_rate": 8.359957401490947e-06, |
|
"loss": 0.0034, |
|
"step": 3600 |
|
}, |
|
{ |
|
"epoch": 5.75, |
|
"eval_accuracy": 0.8652849740932642, |
|
"eval_f1": 0.8648885794188792, |
|
"eval_loss": 0.6220521926879883, |
|
"eval_precision": 0.8726252158894647, |
|
"eval_recall": 0.8652849740932642, |
|
"eval_runtime": 1.4634, |
|
"eval_samples_per_second": 131.885, |
|
"eval_steps_per_second": 17.083, |
|
"step": 3600 |
|
}, |
|
{ |
|
"epoch": 5.77, |
|
"learning_rate": 7.82747603833866e-06, |
|
"loss": 0.0061, |
|
"step": 3610 |
|
}, |
|
{ |
|
"epoch": 5.78, |
|
"learning_rate": 7.294994675186369e-06, |
|
"loss": 0.0023, |
|
"step": 3620 |
|
}, |
|
{ |
|
"epoch": 5.8, |
|
"learning_rate": 6.762513312034079e-06, |
|
"loss": 0.0025, |
|
"step": 3630 |
|
}, |
|
{ |
|
"epoch": 5.81, |
|
"learning_rate": 6.230031948881789e-06, |
|
"loss": 0.0025, |
|
"step": 3640 |
|
}, |
|
{ |
|
"epoch": 5.83, |
|
"learning_rate": 5.6975505857295e-06, |
|
"loss": 0.0023, |
|
"step": 3650 |
|
}, |
|
{ |
|
"epoch": 5.85, |
|
"learning_rate": 5.16506922257721e-06, |
|
"loss": 0.003, |
|
"step": 3660 |
|
}, |
|
{ |
|
"epoch": 5.86, |
|
"learning_rate": 4.6325878594249205e-06, |
|
"loss": 0.0023, |
|
"step": 3670 |
|
}, |
|
{ |
|
"epoch": 5.88, |
|
"learning_rate": 4.100106496272631e-06, |
|
"loss": 0.003, |
|
"step": 3680 |
|
}, |
|
{ |
|
"epoch": 5.89, |
|
"learning_rate": 3.5676251331203413e-06, |
|
"loss": 0.0027, |
|
"step": 3690 |
|
}, |
|
{ |
|
"epoch": 5.91, |
|
"learning_rate": 3.0351437699680513e-06, |
|
"loss": 0.003, |
|
"step": 3700 |
|
}, |
|
{ |
|
"epoch": 5.91, |
|
"eval_accuracy": 0.8704663212435233, |
|
"eval_f1": 0.8684333767114856, |
|
"eval_loss": 0.6205737590789795, |
|
"eval_precision": 0.8849810017271157, |
|
"eval_recall": 0.8704663212435233, |
|
"eval_runtime": 1.4708, |
|
"eval_samples_per_second": 131.218, |
|
"eval_steps_per_second": 16.997, |
|
"step": 3700 |
|
}, |
|
{ |
|
"epoch": 5.93, |
|
"learning_rate": 2.5026624068157617e-06, |
|
"loss": 0.0044, |
|
"step": 3710 |
|
}, |
|
{ |
|
"epoch": 5.94, |
|
"learning_rate": 1.9701810436634718e-06, |
|
"loss": 0.0025, |
|
"step": 3720 |
|
}, |
|
{ |
|
"epoch": 5.96, |
|
"learning_rate": 1.4376996805111822e-06, |
|
"loss": 0.053, |
|
"step": 3730 |
|
}, |
|
{ |
|
"epoch": 5.97, |
|
"learning_rate": 9.052183173588925e-07, |
|
"loss": 0.0027, |
|
"step": 3740 |
|
}, |
|
{ |
|
"epoch": 5.99, |
|
"learning_rate": 3.727369542066028e-07, |
|
"loss": 0.0023, |
|
"step": 3750 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"step": 3756, |
|
"total_flos": 4.65670232933972e+18, |
|
"train_loss": 0.2616841745980905, |
|
"train_runtime": 1322.2784, |
|
"train_samples_per_second": 45.444, |
|
"train_steps_per_second": 2.841 |
|
} |
|
], |
|
"max_steps": 3756, |
|
"num_train_epochs": 6, |
|
"total_flos": 4.65670232933972e+18, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|