| { | |
| "best_metric": 13.884875320438125, | |
| "best_model_checkpoint": "./the-final-whisper/checkpoint-2000", | |
| "epoch": 3.2948929159802307, | |
| "eval_steps": 125, | |
| "global_step": 2000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.04118616144975288, | |
| "grad_norm": 52.4793701171875, | |
| "learning_rate": 4.2000000000000006e-07, | |
| "loss": 2.7503, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.08237232289950576, | |
| "grad_norm": 16.525333404541016, | |
| "learning_rate": 9.200000000000001e-07, | |
| "loss": 2.0994, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.12355848434925865, | |
| "grad_norm": 14.271560668945312, | |
| "learning_rate": 1.42e-06, | |
| "loss": 1.3213, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 0.16474464579901152, | |
| "grad_norm": 8.628070831298828, | |
| "learning_rate": 1.9200000000000003e-06, | |
| "loss": 0.7342, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.20593080724876442, | |
| "grad_norm": 8.307537078857422, | |
| "learning_rate": 2.42e-06, | |
| "loss": 0.5674, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 0.20593080724876442, | |
| "eval_loss": 0.6090311408042908, | |
| "eval_runtime": 2805.8489, | |
| "eval_samples_per_second": 1.442, | |
| "eval_steps_per_second": 0.18, | |
| "eval_wer": 45.15497553017945, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 0.2471169686985173, | |
| "grad_norm": 6.402714729309082, | |
| "learning_rate": 2.92e-06, | |
| "loss": 0.4853, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.2883031301482702, | |
| "grad_norm": 7.138896942138672, | |
| "learning_rate": 3.4200000000000007e-06, | |
| "loss": 0.424, | |
| "step": 175 | |
| }, | |
| { | |
| "epoch": 0.32948929159802304, | |
| "grad_norm": 6.78637170791626, | |
| "learning_rate": 3.920000000000001e-06, | |
| "loss": 0.3443, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.37067545304777594, | |
| "grad_norm": 6.042959690093994, | |
| "learning_rate": 4.42e-06, | |
| "loss": 0.2769, | |
| "step": 225 | |
| }, | |
| { | |
| "epoch": 0.41186161449752884, | |
| "grad_norm": 2.8671882152557373, | |
| "learning_rate": 4.92e-06, | |
| "loss": 0.1545, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.41186161449752884, | |
| "eval_loss": 0.18588024377822876, | |
| "eval_runtime": 2810.3027, | |
| "eval_samples_per_second": 1.439, | |
| "eval_steps_per_second": 0.18, | |
| "eval_wer": 30.12351433232347, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.45304777594728174, | |
| "grad_norm": 4.210362911224365, | |
| "learning_rate": 5.420000000000001e-06, | |
| "loss": 0.094, | |
| "step": 275 | |
| }, | |
| { | |
| "epoch": 0.4942339373970346, | |
| "grad_norm": 3.7346065044403076, | |
| "learning_rate": 5.92e-06, | |
| "loss": 0.0858, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.5354200988467874, | |
| "grad_norm": 2.7393386363983154, | |
| "learning_rate": 6.42e-06, | |
| "loss": 0.0745, | |
| "step": 325 | |
| }, | |
| { | |
| "epoch": 0.5766062602965404, | |
| "grad_norm": 2.8941423892974854, | |
| "learning_rate": 6.92e-06, | |
| "loss": 0.0631, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.6177924217462932, | |
| "grad_norm": 3.1176912784576416, | |
| "learning_rate": 7.420000000000001e-06, | |
| "loss": 0.0658, | |
| "step": 375 | |
| }, | |
| { | |
| "epoch": 0.6177924217462932, | |
| "eval_loss": 0.1334521770477295, | |
| "eval_runtime": 2821.0386, | |
| "eval_samples_per_second": 1.434, | |
| "eval_steps_per_second": 0.179, | |
| "eval_wer": 22.91773479375437, | |
| "step": 375 | |
| }, | |
| { | |
| "epoch": 0.6589785831960461, | |
| "grad_norm": 3.2934091091156006, | |
| "learning_rate": 7.92e-06, | |
| "loss": 0.0552, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.700164744645799, | |
| "grad_norm": 3.6386263370513916, | |
| "learning_rate": 8.42e-06, | |
| "loss": 0.0529, | |
| "step": 425 | |
| }, | |
| { | |
| "epoch": 0.7413509060955519, | |
| "grad_norm": 1.1384811401367188, | |
| "learning_rate": 8.920000000000001e-06, | |
| "loss": 0.0418, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 0.7825370675453048, | |
| "grad_norm": 4.086984634399414, | |
| "learning_rate": 9.42e-06, | |
| "loss": 0.0493, | |
| "step": 475 | |
| }, | |
| { | |
| "epoch": 0.8237232289950577, | |
| "grad_norm": 2.331613540649414, | |
| "learning_rate": 9.920000000000002e-06, | |
| "loss": 0.0378, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.8237232289950577, | |
| "eval_loss": 0.12090734392404556, | |
| "eval_runtime": 2820.3109, | |
| "eval_samples_per_second": 1.434, | |
| "eval_steps_per_second": 0.179, | |
| "eval_wer": 20.77837333954789, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.8649093904448105, | |
| "grad_norm": 2.7532379627227783, | |
| "learning_rate": 9.58e-06, | |
| "loss": 0.0365, | |
| "step": 525 | |
| }, | |
| { | |
| "epoch": 0.9060955518945635, | |
| "grad_norm": 3.022937774658203, | |
| "learning_rate": 9.080000000000001e-06, | |
| "loss": 0.0414, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 0.9472817133443163, | |
| "grad_norm": 2.641817092895508, | |
| "learning_rate": 8.580000000000001e-06, | |
| "loss": 0.0319, | |
| "step": 575 | |
| }, | |
| { | |
| "epoch": 0.9884678747940692, | |
| "grad_norm": 3.3846614360809326, | |
| "learning_rate": 8.08e-06, | |
| "loss": 0.0272, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 1.029654036243822, | |
| "grad_norm": 4.221302032470703, | |
| "learning_rate": 7.58e-06, | |
| "loss": 0.022, | |
| "step": 625 | |
| }, | |
| { | |
| "epoch": 1.029654036243822, | |
| "eval_loss": 0.10999257117509842, | |
| "eval_runtime": 2822.9012, | |
| "eval_samples_per_second": 1.433, | |
| "eval_steps_per_second": 0.179, | |
| "eval_wer": 18.08436261943603, | |
| "step": 625 | |
| }, | |
| { | |
| "epoch": 1.0708401976935749, | |
| "grad_norm": 4.843472480773926, | |
| "learning_rate": 7.08e-06, | |
| "loss": 0.021, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 1.112026359143328, | |
| "grad_norm": 1.8119359016418457, | |
| "learning_rate": 6.5800000000000005e-06, | |
| "loss": 0.0141, | |
| "step": 675 | |
| }, | |
| { | |
| "epoch": 1.1532125205930808, | |
| "grad_norm": 1.112451195716858, | |
| "learning_rate": 6.08e-06, | |
| "loss": 0.0148, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 1.1943986820428336, | |
| "grad_norm": 0.6692703366279602, | |
| "learning_rate": 5.580000000000001e-06, | |
| "loss": 0.0126, | |
| "step": 725 | |
| }, | |
| { | |
| "epoch": 1.2355848434925865, | |
| "grad_norm": 1.457305908203125, | |
| "learning_rate": 5.0800000000000005e-06, | |
| "loss": 0.0097, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 1.2355848434925865, | |
| "eval_loss": 0.09214470535516739, | |
| "eval_runtime": 2819.3708, | |
| "eval_samples_per_second": 1.435, | |
| "eval_steps_per_second": 0.179, | |
| "eval_wer": 15.441621999533908, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 1.2767710049423393, | |
| "grad_norm": 2.9795682430267334, | |
| "learning_rate": 4.58e-06, | |
| "loss": 0.0105, | |
| "step": 775 | |
| }, | |
| { | |
| "epoch": 1.3179571663920924, | |
| "grad_norm": 1.0585089921951294, | |
| "learning_rate": 4.08e-06, | |
| "loss": 0.0083, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 1.3591433278418452, | |
| "grad_norm": 2.7793498039245605, | |
| "learning_rate": 3.58e-06, | |
| "loss": 0.0113, | |
| "step": 825 | |
| }, | |
| { | |
| "epoch": 1.400329489291598, | |
| "grad_norm": 0.24739088118076324, | |
| "learning_rate": 3.08e-06, | |
| "loss": 0.0106, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 1.441515650741351, | |
| "grad_norm": 0.5349621176719666, | |
| "learning_rate": 2.5800000000000003e-06, | |
| "loss": 0.0078, | |
| "step": 875 | |
| }, | |
| { | |
| "epoch": 1.441515650741351, | |
| "eval_loss": 0.08723945915699005, | |
| "eval_runtime": 2823.033, | |
| "eval_samples_per_second": 1.433, | |
| "eval_steps_per_second": 0.179, | |
| "eval_wer": 15.530179445350733, | |
| "step": 875 | |
| }, | |
| { | |
| "epoch": 1.4827018121911038, | |
| "grad_norm": 3.1261961460113525, | |
| "learning_rate": 2.08e-06, | |
| "loss": 0.0098, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 1.5238879736408566, | |
| "grad_norm": 0.6137211322784424, | |
| "learning_rate": 1.5800000000000001e-06, | |
| "loss": 0.0092, | |
| "step": 925 | |
| }, | |
| { | |
| "epoch": 1.5650741350906094, | |
| "grad_norm": 1.3198140859603882, | |
| "learning_rate": 1.08e-06, | |
| "loss": 0.0088, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 1.6062602965403623, | |
| "grad_norm": 0.7606719136238098, | |
| "learning_rate": 5.800000000000001e-07, | |
| "loss": 0.0132, | |
| "step": 975 | |
| }, | |
| { | |
| "epoch": 1.6474464579901154, | |
| "grad_norm": 1.69697105884552, | |
| "learning_rate": 8e-08, | |
| "loss": 0.012, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.6474464579901154, | |
| "eval_loss": 0.08294647186994553, | |
| "eval_runtime": 2832.7593, | |
| "eval_samples_per_second": 1.428, | |
| "eval_steps_per_second": 0.179, | |
| "eval_wer": 14.845024469820556, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.6886326194398682, | |
| "grad_norm": 1.8255125284194946, | |
| "learning_rate": 8.842222222222223e-06, | |
| "loss": 0.0097, | |
| "step": 1025 | |
| }, | |
| { | |
| "epoch": 1.729818780889621, | |
| "grad_norm": 1.6991933584213257, | |
| "learning_rate": 8.786666666666668e-06, | |
| "loss": 0.0128, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 1.771004942339374, | |
| "grad_norm": 3.427128314971924, | |
| "learning_rate": 8.73111111111111e-06, | |
| "loss": 0.0127, | |
| "step": 1075 | |
| }, | |
| { | |
| "epoch": 1.812191103789127, | |
| "grad_norm": 1.3395907878875732, | |
| "learning_rate": 8.675555555555556e-06, | |
| "loss": 0.0111, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 1.8533772652388798, | |
| "grad_norm": 2.087146520614624, | |
| "learning_rate": 8.62e-06, | |
| "loss": 0.0098, | |
| "step": 1125 | |
| }, | |
| { | |
| "epoch": 1.8533772652388798, | |
| "eval_loss": 0.09520899504423141, | |
| "eval_runtime": 2831.8668, | |
| "eval_samples_per_second": 1.428, | |
| "eval_steps_per_second": 0.179, | |
| "eval_wer": 16.11745513866232, | |
| "step": 1125 | |
| }, | |
| { | |
| "epoch": 1.8945634266886326, | |
| "grad_norm": 1.362247109413147, | |
| "learning_rate": 8.564444444444445e-06, | |
| "loss": 0.0102, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 1.9357495881383855, | |
| "grad_norm": 1.9441858530044556, | |
| "learning_rate": 8.50888888888889e-06, | |
| "loss": 0.012, | |
| "step": 1175 | |
| }, | |
| { | |
| "epoch": 1.9769357495881383, | |
| "grad_norm": 1.1025640964508057, | |
| "learning_rate": 8.453333333333334e-06, | |
| "loss": 0.0094, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 2.018121911037891, | |
| "grad_norm": 0.26811718940734863, | |
| "learning_rate": 8.397777777777778e-06, | |
| "loss": 0.0103, | |
| "step": 1225 | |
| }, | |
| { | |
| "epoch": 2.059308072487644, | |
| "grad_norm": 0.3004502058029175, | |
| "learning_rate": 8.342222222222222e-06, | |
| "loss": 0.0038, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 2.059308072487644, | |
| "eval_loss": 0.09276822954416275, | |
| "eval_runtime": 2807.4549, | |
| "eval_samples_per_second": 1.441, | |
| "eval_steps_per_second": 0.18, | |
| "eval_wer": 15.422978326730366, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 2.100494233937397, | |
| "grad_norm": 1.0379807949066162, | |
| "learning_rate": 8.286666666666668e-06, | |
| "loss": 0.0064, | |
| "step": 1275 | |
| }, | |
| { | |
| "epoch": 2.1416803953871497, | |
| "grad_norm": 2.824099063873291, | |
| "learning_rate": 8.231111111111112e-06, | |
| "loss": 0.0063, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 2.182866556836903, | |
| "grad_norm": 0.2786366939544678, | |
| "learning_rate": 8.175555555555556e-06, | |
| "loss": 0.0057, | |
| "step": 1325 | |
| }, | |
| { | |
| "epoch": 2.224052718286656, | |
| "grad_norm": 1.7999166250228882, | |
| "learning_rate": 8.120000000000002e-06, | |
| "loss": 0.0057, | |
| "step": 1350 | |
| }, | |
| { | |
| "epoch": 2.2652388797364087, | |
| "grad_norm": 1.3867113590240479, | |
| "learning_rate": 8.064444444444444e-06, | |
| "loss": 0.0085, | |
| "step": 1375 | |
| }, | |
| { | |
| "epoch": 2.2652388797364087, | |
| "eval_loss": 0.09214825183153152, | |
| "eval_runtime": 2797.2114, | |
| "eval_samples_per_second": 1.446, | |
| "eval_steps_per_second": 0.181, | |
| "eval_wer": 15.665346073176417, | |
| "step": 1375 | |
| }, | |
| { | |
| "epoch": 2.3064250411861615, | |
| "grad_norm": 0.2658134996891022, | |
| "learning_rate": 8.00888888888889e-06, | |
| "loss": 0.005, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 2.3476112026359144, | |
| "grad_norm": 1.3457545042037964, | |
| "learning_rate": 7.953333333333334e-06, | |
| "loss": 0.0053, | |
| "step": 1425 | |
| }, | |
| { | |
| "epoch": 2.3887973640856672, | |
| "grad_norm": 1.7825807332992554, | |
| "learning_rate": 7.897777777777778e-06, | |
| "loss": 0.0044, | |
| "step": 1450 | |
| }, | |
| { | |
| "epoch": 2.42998352553542, | |
| "grad_norm": 2.2161757946014404, | |
| "learning_rate": 7.842222222222224e-06, | |
| "loss": 0.0056, | |
| "step": 1475 | |
| }, | |
| { | |
| "epoch": 2.471169686985173, | |
| "grad_norm": 0.23896081745624542, | |
| "learning_rate": 7.786666666666666e-06, | |
| "loss": 0.0045, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 2.471169686985173, | |
| "eval_loss": 0.09182223677635193, | |
| "eval_runtime": 2787.3566, | |
| "eval_samples_per_second": 1.451, | |
| "eval_steps_per_second": 0.182, | |
| "eval_wer": 14.448846422745282, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 2.5123558484349258, | |
| "grad_norm": 0.37352365255355835, | |
| "learning_rate": 7.731111111111112e-06, | |
| "loss": 0.0044, | |
| "step": 1525 | |
| }, | |
| { | |
| "epoch": 2.5535420098846786, | |
| "grad_norm": 1.8053451776504517, | |
| "learning_rate": 7.675555555555556e-06, | |
| "loss": 0.0056, | |
| "step": 1550 | |
| }, | |
| { | |
| "epoch": 2.594728171334432, | |
| "grad_norm": 1.4376009702682495, | |
| "learning_rate": 7.620000000000001e-06, | |
| "loss": 0.007, | |
| "step": 1575 | |
| }, | |
| { | |
| "epoch": 2.6359143327841847, | |
| "grad_norm": 0.46193966269493103, | |
| "learning_rate": 7.564444444444446e-06, | |
| "loss": 0.0052, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 2.6771004942339376, | |
| "grad_norm": 0.06809718906879425, | |
| "learning_rate": 7.50888888888889e-06, | |
| "loss": 0.0031, | |
| "step": 1625 | |
| }, | |
| { | |
| "epoch": 2.6771004942339376, | |
| "eval_loss": 0.08786112070083618, | |
| "eval_runtime": 2779.1365, | |
| "eval_samples_per_second": 1.455, | |
| "eval_steps_per_second": 0.182, | |
| "eval_wer": 14.048007457469122, | |
| "step": 1625 | |
| }, | |
| { | |
| "epoch": 2.7182866556836904, | |
| "grad_norm": 0.12468615174293518, | |
| "learning_rate": 7.453333333333334e-06, | |
| "loss": 0.0032, | |
| "step": 1650 | |
| }, | |
| { | |
| "epoch": 2.7594728171334433, | |
| "grad_norm": 0.25042837858200073, | |
| "learning_rate": 7.3977777777777786e-06, | |
| "loss": 0.0062, | |
| "step": 1675 | |
| }, | |
| { | |
| "epoch": 2.800658978583196, | |
| "grad_norm": 1.6082072257995605, | |
| "learning_rate": 7.342222222222223e-06, | |
| "loss": 0.0036, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 2.841845140032949, | |
| "grad_norm": 0.5134331583976746, | |
| "learning_rate": 7.2866666666666675e-06, | |
| "loss": 0.0057, | |
| "step": 1725 | |
| }, | |
| { | |
| "epoch": 2.883031301482702, | |
| "grad_norm": 0.7861504554748535, | |
| "learning_rate": 7.231111111111112e-06, | |
| "loss": 0.0059, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 2.883031301482702, | |
| "eval_loss": 0.09202219545841217, | |
| "eval_runtime": 2759.663, | |
| "eval_samples_per_second": 1.466, | |
| "eval_steps_per_second": 0.183, | |
| "eval_wer": 14.024702866464695, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 2.9242174629324547, | |
| "grad_norm": 0.058119408786296844, | |
| "learning_rate": 7.1755555555555556e-06, | |
| "loss": 0.0032, | |
| "step": 1775 | |
| }, | |
| { | |
| "epoch": 2.9654036243822075, | |
| "grad_norm": 0.19371527433395386, | |
| "learning_rate": 7.1200000000000004e-06, | |
| "loss": 0.0041, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 3.0065897858319603, | |
| "grad_norm": 0.6111047267913818, | |
| "learning_rate": 7.0644444444444445e-06, | |
| "loss": 0.0033, | |
| "step": 1825 | |
| }, | |
| { | |
| "epoch": 3.047775947281713, | |
| "grad_norm": 0.24434837698936462, | |
| "learning_rate": 7.008888888888889e-06, | |
| "loss": 0.0015, | |
| "step": 1850 | |
| }, | |
| { | |
| "epoch": 3.088962108731466, | |
| "grad_norm": 0.06654160469770432, | |
| "learning_rate": 6.953333333333334e-06, | |
| "loss": 0.001, | |
| "step": 1875 | |
| }, | |
| { | |
| "epoch": 3.088962108731466, | |
| "eval_loss": 0.08992798626422882, | |
| "eval_runtime": 2764.7593, | |
| "eval_samples_per_second": 1.463, | |
| "eval_steps_per_second": 0.183, | |
| "eval_wer": 13.759030529014215, | |
| "step": 1875 | |
| }, | |
| { | |
| "epoch": 3.130148270181219, | |
| "grad_norm": 0.06989173591136932, | |
| "learning_rate": 6.897777777777779e-06, | |
| "loss": 0.0011, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 3.171334431630972, | |
| "grad_norm": 0.09353475272655487, | |
| "learning_rate": 6.842222222222222e-06, | |
| "loss": 0.0018, | |
| "step": 1925 | |
| }, | |
| { | |
| "epoch": 3.212520593080725, | |
| "grad_norm": 0.7832232713699341, | |
| "learning_rate": 6.786666666666667e-06, | |
| "loss": 0.0023, | |
| "step": 1950 | |
| }, | |
| { | |
| "epoch": 3.253706754530478, | |
| "grad_norm": 0.5681446194648743, | |
| "learning_rate": 6.731111111111111e-06, | |
| "loss": 0.0011, | |
| "step": 1975 | |
| }, | |
| { | |
| "epoch": 3.2948929159802307, | |
| "grad_norm": 0.9114421010017395, | |
| "learning_rate": 6.675555555555556e-06, | |
| "loss": 0.0014, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 3.2948929159802307, | |
| "eval_loss": 0.09061238169670105, | |
| "eval_runtime": 2757.975, | |
| "eval_samples_per_second": 1.467, | |
| "eval_steps_per_second": 0.183, | |
| "eval_wer": 13.884875320438125, | |
| "step": 2000 | |
| } | |
| ], | |
| "logging_steps": 25, | |
| "max_steps": 5000, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 9, | |
| "save_steps": 250, | |
| "total_flos": 9.23126978543616e+18, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |