|
{ |
|
"best_metric": 0.7260138988494873, |
|
"best_model_checkpoint": "./vit-base-beans-demo-v5/checkpoint-600", |
|
"epoch": 4.0, |
|
"global_step": 844, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.00019763033175355452, |
|
"loss": 1.4193, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 0.000195260663507109, |
|
"loss": 1.0491, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.14, |
|
"learning_rate": 0.00019289099526066352, |
|
"loss": 1.1612, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.19, |
|
"learning_rate": 0.000190521327014218, |
|
"loss": 1.0393, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"learning_rate": 0.00018815165876777252, |
|
"loss": 1.0533, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.28, |
|
"learning_rate": 0.00018578199052132703, |
|
"loss": 0.9506, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.33, |
|
"learning_rate": 0.00018341232227488152, |
|
"loss": 0.9148, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.38, |
|
"learning_rate": 0.00018104265402843603, |
|
"loss": 0.9735, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.43, |
|
"learning_rate": 0.00017890995260663508, |
|
"loss": 0.783, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.47, |
|
"learning_rate": 0.0001765402843601896, |
|
"loss": 0.9235, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.47, |
|
"eval_accuracy": 0.6492890995260664, |
|
"eval_loss": 0.8972262740135193, |
|
"eval_runtime": 90.3527, |
|
"eval_samples_per_second": 9.341, |
|
"eval_steps_per_second": 1.173, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.52, |
|
"learning_rate": 0.00017417061611374408, |
|
"loss": 0.9931, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.57, |
|
"learning_rate": 0.0001718009478672986, |
|
"loss": 1.0035, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.62, |
|
"learning_rate": 0.00016943127962085308, |
|
"loss": 0.9619, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 0.66, |
|
"learning_rate": 0.0001670616113744076, |
|
"loss": 0.8618, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.71, |
|
"learning_rate": 0.0001646919431279621, |
|
"loss": 0.9862, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.76, |
|
"learning_rate": 0.0001623222748815166, |
|
"loss": 0.9977, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"learning_rate": 0.0001599526066350711, |
|
"loss": 0.8715, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 0.85, |
|
"learning_rate": 0.0001575829383886256, |
|
"loss": 0.9153, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"learning_rate": 0.0001552132701421801, |
|
"loss": 0.784, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 0.95, |
|
"learning_rate": 0.00015284360189573462, |
|
"loss": 0.9253, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.95, |
|
"eval_accuracy": 0.6635071090047393, |
|
"eval_loss": 0.9150586128234863, |
|
"eval_runtime": 91.0647, |
|
"eval_samples_per_second": 9.268, |
|
"eval_steps_per_second": 1.164, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 0.0001504739336492891, |
|
"loss": 0.8305, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 1.04, |
|
"learning_rate": 0.0001481042654028436, |
|
"loss": 0.8379, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 1.09, |
|
"learning_rate": 0.0001457345971563981, |
|
"loss": 0.707, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 1.14, |
|
"learning_rate": 0.0001433649289099526, |
|
"loss": 0.8205, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 1.18, |
|
"learning_rate": 0.00014099526066350712, |
|
"loss": 0.7565, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 1.23, |
|
"learning_rate": 0.0001386255924170616, |
|
"loss": 0.7539, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 1.28, |
|
"learning_rate": 0.00013625592417061612, |
|
"loss": 0.9389, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 1.33, |
|
"learning_rate": 0.0001338862559241706, |
|
"loss": 0.8062, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 1.37, |
|
"learning_rate": 0.00013151658767772512, |
|
"loss": 0.7702, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 1.42, |
|
"learning_rate": 0.00012914691943127963, |
|
"loss": 0.8371, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 1.42, |
|
"eval_accuracy": 0.693127962085308, |
|
"eval_loss": 0.8071145415306091, |
|
"eval_runtime": 87.0572, |
|
"eval_samples_per_second": 9.695, |
|
"eval_steps_per_second": 1.218, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 1.47, |
|
"learning_rate": 0.00012677725118483412, |
|
"loss": 0.7698, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 1.52, |
|
"learning_rate": 0.00012440758293838863, |
|
"loss": 0.8412, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 1.56, |
|
"learning_rate": 0.00012203791469194314, |
|
"loss": 0.8268, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 1.61, |
|
"learning_rate": 0.00011966824644549763, |
|
"loss": 0.6359, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 1.66, |
|
"learning_rate": 0.00011729857819905214, |
|
"loss": 0.6765, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 1.71, |
|
"learning_rate": 0.00011492890995260664, |
|
"loss": 0.7455, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 1.75, |
|
"learning_rate": 0.00011255924170616114, |
|
"loss": 0.7108, |
|
"step": 370 |
|
}, |
|
{ |
|
"epoch": 1.8, |
|
"learning_rate": 0.00011018957345971565, |
|
"loss": 0.6456, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 1.85, |
|
"learning_rate": 0.00010781990521327015, |
|
"loss": 0.7036, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 1.9, |
|
"learning_rate": 0.00010545023696682465, |
|
"loss": 0.7355, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 1.9, |
|
"eval_accuracy": 0.707345971563981, |
|
"eval_loss": 0.7562642693519592, |
|
"eval_runtime": 87.3813, |
|
"eval_samples_per_second": 9.659, |
|
"eval_steps_per_second": 1.213, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 1.94, |
|
"learning_rate": 0.00010308056872037915, |
|
"loss": 0.6315, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 1.99, |
|
"learning_rate": 0.00010071090047393366, |
|
"loss": 0.6996, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 2.04, |
|
"learning_rate": 9.834123222748816e-05, |
|
"loss": 0.6379, |
|
"step": 430 |
|
}, |
|
{ |
|
"epoch": 2.09, |
|
"learning_rate": 9.597156398104266e-05, |
|
"loss": 0.5765, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 2.13, |
|
"learning_rate": 9.360189573459716e-05, |
|
"loss": 0.6309, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 2.18, |
|
"learning_rate": 9.123222748815167e-05, |
|
"loss": 0.5836, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 2.23, |
|
"learning_rate": 8.886255924170617e-05, |
|
"loss": 0.5075, |
|
"step": 470 |
|
}, |
|
{ |
|
"epoch": 2.27, |
|
"learning_rate": 8.649289099526067e-05, |
|
"loss": 0.5817, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 2.32, |
|
"learning_rate": 8.412322274881517e-05, |
|
"loss": 0.6765, |
|
"step": 490 |
|
}, |
|
{ |
|
"epoch": 2.37, |
|
"learning_rate": 8.175355450236967e-05, |
|
"loss": 0.6532, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.37, |
|
"eval_accuracy": 0.6895734597156398, |
|
"eval_loss": 0.7542913556098938, |
|
"eval_runtime": 87.8093, |
|
"eval_samples_per_second": 9.612, |
|
"eval_steps_per_second": 1.207, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.42, |
|
"learning_rate": 7.938388625592418e-05, |
|
"loss": 0.5203, |
|
"step": 510 |
|
}, |
|
{ |
|
"epoch": 2.46, |
|
"learning_rate": 7.701421800947868e-05, |
|
"loss": 0.4772, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 2.51, |
|
"learning_rate": 7.464454976303318e-05, |
|
"loss": 0.6391, |
|
"step": 530 |
|
}, |
|
{ |
|
"epoch": 2.56, |
|
"learning_rate": 7.227488151658768e-05, |
|
"loss": 0.5908, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 2.61, |
|
"learning_rate": 6.990521327014218e-05, |
|
"loss": 0.5459, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 2.65, |
|
"learning_rate": 6.753554502369669e-05, |
|
"loss": 0.6922, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 2.7, |
|
"learning_rate": 6.516587677725119e-05, |
|
"loss": 0.5738, |
|
"step": 570 |
|
}, |
|
{ |
|
"epoch": 2.75, |
|
"learning_rate": 6.279620853080569e-05, |
|
"loss": 0.5743, |
|
"step": 580 |
|
}, |
|
{ |
|
"epoch": 2.8, |
|
"learning_rate": 6.0426540284360186e-05, |
|
"loss": 0.5733, |
|
"step": 590 |
|
}, |
|
{ |
|
"epoch": 2.84, |
|
"learning_rate": 5.829383886255925e-05, |
|
"loss": 0.5982, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 2.84, |
|
"eval_accuracy": 0.726303317535545, |
|
"eval_loss": 0.7260138988494873, |
|
"eval_runtime": 88.3787, |
|
"eval_samples_per_second": 9.55, |
|
"eval_steps_per_second": 1.199, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 2.89, |
|
"learning_rate": 5.592417061611375e-05, |
|
"loss": 0.6154, |
|
"step": 610 |
|
}, |
|
{ |
|
"epoch": 2.94, |
|
"learning_rate": 5.355450236966825e-05, |
|
"loss": 0.577, |
|
"step": 620 |
|
}, |
|
{ |
|
"epoch": 2.99, |
|
"learning_rate": 5.1184834123222746e-05, |
|
"loss": 0.5146, |
|
"step": 630 |
|
}, |
|
{ |
|
"epoch": 3.03, |
|
"learning_rate": 4.881516587677725e-05, |
|
"loss": 0.43, |
|
"step": 640 |
|
}, |
|
{ |
|
"epoch": 3.08, |
|
"learning_rate": 4.644549763033176e-05, |
|
"loss": 0.4428, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 3.13, |
|
"learning_rate": 4.407582938388626e-05, |
|
"loss": 0.4397, |
|
"step": 660 |
|
}, |
|
{ |
|
"epoch": 3.18, |
|
"learning_rate": 4.1706161137440756e-05, |
|
"loss": 0.3049, |
|
"step": 670 |
|
}, |
|
{ |
|
"epoch": 3.22, |
|
"learning_rate": 3.933649289099526e-05, |
|
"loss": 0.3993, |
|
"step": 680 |
|
}, |
|
{ |
|
"epoch": 3.27, |
|
"learning_rate": 3.696682464454976e-05, |
|
"loss": 0.4284, |
|
"step": 690 |
|
}, |
|
{ |
|
"epoch": 3.32, |
|
"learning_rate": 3.4597156398104267e-05, |
|
"loss": 0.4276, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 3.32, |
|
"eval_accuracy": 0.7239336492890995, |
|
"eval_loss": 0.7345680594444275, |
|
"eval_runtime": 87.1766, |
|
"eval_samples_per_second": 9.681, |
|
"eval_steps_per_second": 1.216, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 3.36, |
|
"learning_rate": 3.222748815165877e-05, |
|
"loss": 0.3917, |
|
"step": 710 |
|
}, |
|
{ |
|
"epoch": 3.41, |
|
"learning_rate": 2.9857819905213268e-05, |
|
"loss": 0.3747, |
|
"step": 720 |
|
}, |
|
{ |
|
"epoch": 3.46, |
|
"learning_rate": 2.7488151658767774e-05, |
|
"loss": 0.3327, |
|
"step": 730 |
|
}, |
|
{ |
|
"epoch": 3.51, |
|
"learning_rate": 2.5118483412322273e-05, |
|
"loss": 0.3647, |
|
"step": 740 |
|
}, |
|
{ |
|
"epoch": 3.55, |
|
"learning_rate": 2.274881516587678e-05, |
|
"loss": 0.3785, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 3.6, |
|
"learning_rate": 2.037914691943128e-05, |
|
"loss": 0.4262, |
|
"step": 760 |
|
}, |
|
{ |
|
"epoch": 3.65, |
|
"learning_rate": 1.8009478672985784e-05, |
|
"loss": 0.4531, |
|
"step": 770 |
|
}, |
|
{ |
|
"epoch": 3.7, |
|
"learning_rate": 1.5639810426540286e-05, |
|
"loss": 0.3191, |
|
"step": 780 |
|
}, |
|
{ |
|
"epoch": 3.74, |
|
"learning_rate": 1.3270142180094788e-05, |
|
"loss": 0.427, |
|
"step": 790 |
|
}, |
|
{ |
|
"epoch": 3.79, |
|
"learning_rate": 1.0900473933649289e-05, |
|
"loss": 0.4935, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 3.79, |
|
"eval_accuracy": 0.7132701421800948, |
|
"eval_loss": 0.749038577079773, |
|
"eval_runtime": 86.4859, |
|
"eval_samples_per_second": 9.759, |
|
"eval_steps_per_second": 1.226, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 3.84, |
|
"learning_rate": 8.530805687203793e-06, |
|
"loss": 0.3046, |
|
"step": 810 |
|
}, |
|
{ |
|
"epoch": 3.89, |
|
"learning_rate": 6.161137440758294e-06, |
|
"loss": 0.3368, |
|
"step": 820 |
|
}, |
|
{ |
|
"epoch": 3.93, |
|
"learning_rate": 3.791469194312797e-06, |
|
"loss": 0.3309, |
|
"step": 830 |
|
}, |
|
{ |
|
"epoch": 3.98, |
|
"learning_rate": 1.4218009478672987e-06, |
|
"loss": 0.3304, |
|
"step": 840 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"step": 844, |
|
"total_flos": 1.0430702255838413e+18, |
|
"train_loss": 0.674277721140622, |
|
"train_runtime": 2407.857, |
|
"train_samples_per_second": 5.59, |
|
"train_steps_per_second": 0.351 |
|
} |
|
], |
|
"max_steps": 844, |
|
"num_train_epochs": 4, |
|
"total_flos": 1.0430702255838413e+18, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|