|
{ |
|
"best_metric": 1.8420542478561401, |
|
"best_model_checkpoint": "./vit-base-beans/checkpoint-640", |
|
"epoch": 3.248730964467005, |
|
"global_step": 640, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.00019932318104906937, |
|
"loss": 3.8192, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.00019864636209813877, |
|
"loss": 3.7847, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"learning_rate": 0.00019796954314720813, |
|
"loss": 3.6849, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"learning_rate": 0.00019729272419627753, |
|
"loss": 3.6122, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"eval_accuracy": 0.10967741935483871, |
|
"eval_loss": 3.561206340789795, |
|
"eval_runtime": 31.2002, |
|
"eval_samples_per_second": 54.647, |
|
"eval_steps_per_second": 6.859, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.25, |
|
"learning_rate": 0.00019661590524534686, |
|
"loss": 3.5748, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"learning_rate": 0.00019593908629441626, |
|
"loss": 3.491, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"learning_rate": 0.00019526226734348562, |
|
"loss": 3.3556, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.41, |
|
"learning_rate": 0.000194585448392555, |
|
"loss": 3.4008, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.41, |
|
"eval_accuracy": 0.2475073313782991, |
|
"eval_loss": 3.2414700984954834, |
|
"eval_runtime": 30.544, |
|
"eval_samples_per_second": 55.821, |
|
"eval_steps_per_second": 7.006, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.46, |
|
"learning_rate": 0.00019390862944162438, |
|
"loss": 3.2255, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"learning_rate": 0.00019323181049069374, |
|
"loss": 3.1171, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.56, |
|
"learning_rate": 0.00019255499153976314, |
|
"loss": 3.1394, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.61, |
|
"learning_rate": 0.0001918781725888325, |
|
"loss": 3.0872, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.61, |
|
"eval_accuracy": 0.2809384164222874, |
|
"eval_loss": 2.9989874362945557, |
|
"eval_runtime": 30.8814, |
|
"eval_samples_per_second": 55.211, |
|
"eval_steps_per_second": 6.93, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.66, |
|
"learning_rate": 0.00019120135363790187, |
|
"loss": 2.9773, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 0.71, |
|
"learning_rate": 0.00019052453468697123, |
|
"loss": 2.7993, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.76, |
|
"learning_rate": 0.0001898477157360406, |
|
"loss": 2.8672, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"learning_rate": 0.00018917089678511, |
|
"loss": 2.8733, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"eval_accuracy": 0.34252199413489737, |
|
"eval_loss": 2.7833735942840576, |
|
"eval_runtime": 30.3566, |
|
"eval_samples_per_second": 56.166, |
|
"eval_steps_per_second": 7.05, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.86, |
|
"learning_rate": 0.00018849407783417936, |
|
"loss": 2.7912, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 0.91, |
|
"learning_rate": 0.00018781725888324875, |
|
"loss": 2.7577, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"learning_rate": 0.00018714043993231811, |
|
"loss": 2.7865, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"learning_rate": 0.00018646362098138748, |
|
"loss": 2.591, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"eval_accuracy": 0.37360703812316715, |
|
"eval_loss": 2.6250743865966797, |
|
"eval_runtime": 30.4336, |
|
"eval_samples_per_second": 56.024, |
|
"eval_steps_per_second": 7.032, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 1.07, |
|
"learning_rate": 0.00018578680203045687, |
|
"loss": 2.3103, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 1.12, |
|
"learning_rate": 0.00018510998307952624, |
|
"loss": 2.2942, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 1.17, |
|
"learning_rate": 0.0001844331641285956, |
|
"loss": 2.3883, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 1.22, |
|
"learning_rate": 0.00018375634517766497, |
|
"loss": 2.1643, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 1.22, |
|
"eval_accuracy": 0.40527859237536656, |
|
"eval_loss": 2.423466920852661, |
|
"eval_runtime": 30.3039, |
|
"eval_samples_per_second": 56.263, |
|
"eval_steps_per_second": 7.062, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 1.27, |
|
"learning_rate": 0.00018307952622673436, |
|
"loss": 2.2077, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 1.32, |
|
"learning_rate": 0.00018240270727580373, |
|
"loss": 2.1227, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 1.37, |
|
"learning_rate": 0.0001817258883248731, |
|
"loss": 2.0657, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 1.42, |
|
"learning_rate": 0.00018104906937394248, |
|
"loss": 2.0669, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 1.42, |
|
"eval_accuracy": 0.3882697947214076, |
|
"eval_loss": 2.3226494789123535, |
|
"eval_runtime": 30.2544, |
|
"eval_samples_per_second": 56.355, |
|
"eval_steps_per_second": 7.073, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 1.47, |
|
"learning_rate": 0.00018037225042301185, |
|
"loss": 2.1189, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 1.52, |
|
"learning_rate": 0.00017969543147208124, |
|
"loss": 2.1857, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 1.57, |
|
"learning_rate": 0.0001790186125211506, |
|
"loss": 2.272, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 1.62, |
|
"learning_rate": 0.00017834179357021997, |
|
"loss": 1.9717, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 1.62, |
|
"eval_accuracy": 0.40821114369501466, |
|
"eval_loss": 2.2509706020355225, |
|
"eval_runtime": 30.2595, |
|
"eval_samples_per_second": 56.346, |
|
"eval_steps_per_second": 7.072, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 1.68, |
|
"learning_rate": 0.00017766497461928934, |
|
"loss": 2.0974, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 1.73, |
|
"learning_rate": 0.0001769881556683587, |
|
"loss": 2.1316, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 1.78, |
|
"learning_rate": 0.0001763113367174281, |
|
"loss": 2.0845, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 1.83, |
|
"learning_rate": 0.00017563451776649746, |
|
"loss": 2.1714, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 1.83, |
|
"eval_accuracy": 0.4351906158357771, |
|
"eval_loss": 2.203674077987671, |
|
"eval_runtime": 30.4099, |
|
"eval_samples_per_second": 56.067, |
|
"eval_steps_per_second": 7.037, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 1.88, |
|
"learning_rate": 0.00017495769881556685, |
|
"loss": 2.0881, |
|
"step": 370 |
|
}, |
|
{ |
|
"epoch": 1.93, |
|
"learning_rate": 0.00017428087986463622, |
|
"loss": 1.9428, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 1.98, |
|
"learning_rate": 0.0001736040609137056, |
|
"loss": 1.8203, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 2.03, |
|
"learning_rate": 0.00017292724196277498, |
|
"loss": 1.6183, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 2.03, |
|
"eval_accuracy": 0.4533724340175953, |
|
"eval_loss": 2.0731186866760254, |
|
"eval_runtime": 30.3675, |
|
"eval_samples_per_second": 56.146, |
|
"eval_steps_per_second": 7.047, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 2.08, |
|
"learning_rate": 0.00017225042301184434, |
|
"loss": 1.3395, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 2.13, |
|
"learning_rate": 0.0001715736040609137, |
|
"loss": 1.4052, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 2.18, |
|
"learning_rate": 0.00017089678510998307, |
|
"loss": 1.3804, |
|
"step": 430 |
|
}, |
|
{ |
|
"epoch": 2.23, |
|
"learning_rate": 0.00017021996615905247, |
|
"loss": 1.2771, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 2.23, |
|
"eval_accuracy": 0.42052785923753666, |
|
"eval_loss": 2.0928714275360107, |
|
"eval_runtime": 30.2484, |
|
"eval_samples_per_second": 56.367, |
|
"eval_steps_per_second": 7.075, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 2.28, |
|
"learning_rate": 0.00016954314720812183, |
|
"loss": 1.431, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 2.34, |
|
"learning_rate": 0.00016886632825719122, |
|
"loss": 1.353, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 2.39, |
|
"learning_rate": 0.0001681895093062606, |
|
"loss": 1.307, |
|
"step": 470 |
|
}, |
|
{ |
|
"epoch": 2.44, |
|
"learning_rate": 0.00016751269035532995, |
|
"loss": 1.2116, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 2.44, |
|
"eval_accuracy": 0.4504398826979472, |
|
"eval_loss": 2.0171947479248047, |
|
"eval_runtime": 30.2989, |
|
"eval_samples_per_second": 56.273, |
|
"eval_steps_per_second": 7.063, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 2.49, |
|
"learning_rate": 0.00016683587140439935, |
|
"loss": 1.2762, |
|
"step": 490 |
|
}, |
|
{ |
|
"epoch": 2.54, |
|
"learning_rate": 0.0001661590524534687, |
|
"loss": 1.2253, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.59, |
|
"learning_rate": 0.00016548223350253808, |
|
"loss": 1.238, |
|
"step": 510 |
|
}, |
|
{ |
|
"epoch": 2.64, |
|
"learning_rate": 0.00016480541455160744, |
|
"loss": 1.158, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 2.64, |
|
"eval_accuracy": 0.45689149560117304, |
|
"eval_loss": 1.9670987129211426, |
|
"eval_runtime": 30.2767, |
|
"eval_samples_per_second": 56.314, |
|
"eval_steps_per_second": 7.068, |
|
"step": 520 |
|
}, |
|
{ |
|
"epoch": 2.69, |
|
"learning_rate": 0.00016412859560067684, |
|
"loss": 1.1488, |
|
"step": 530 |
|
}, |
|
{ |
|
"epoch": 2.74, |
|
"learning_rate": 0.0001634517766497462, |
|
"loss": 1.294, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 2.79, |
|
"learning_rate": 0.00016277495769881557, |
|
"loss": 1.0431, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 2.84, |
|
"learning_rate": 0.00016209813874788496, |
|
"loss": 1.1864, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 2.84, |
|
"eval_accuracy": 0.4563049853372434, |
|
"eval_loss": 1.9570399522781372, |
|
"eval_runtime": 30.2455, |
|
"eval_samples_per_second": 56.372, |
|
"eval_steps_per_second": 7.075, |
|
"step": 560 |
|
}, |
|
{ |
|
"epoch": 2.89, |
|
"learning_rate": 0.00016142131979695432, |
|
"loss": 1.1271, |
|
"step": 570 |
|
}, |
|
{ |
|
"epoch": 2.94, |
|
"learning_rate": 0.00016074450084602372, |
|
"loss": 1.1006, |
|
"step": 580 |
|
}, |
|
{ |
|
"epoch": 2.99, |
|
"learning_rate": 0.00016006768189509308, |
|
"loss": 1.1867, |
|
"step": 590 |
|
}, |
|
{ |
|
"epoch": 3.05, |
|
"learning_rate": 0.00015939086294416242, |
|
"loss": 0.7778, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 3.05, |
|
"eval_accuracy": 0.49560117302052786, |
|
"eval_loss": 1.8706681728363037, |
|
"eval_runtime": 30.3606, |
|
"eval_samples_per_second": 56.158, |
|
"eval_steps_per_second": 7.049, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 3.1, |
|
"learning_rate": 0.0001587140439932318, |
|
"loss": 0.6935, |
|
"step": 610 |
|
}, |
|
{ |
|
"epoch": 3.15, |
|
"learning_rate": 0.00015803722504230118, |
|
"loss": 0.5692, |
|
"step": 620 |
|
}, |
|
{ |
|
"epoch": 3.2, |
|
"learning_rate": 0.00015736040609137057, |
|
"loss": 0.5985, |
|
"step": 630 |
|
}, |
|
{ |
|
"epoch": 3.25, |
|
"learning_rate": 0.00015668358714043994, |
|
"loss": 0.6021, |
|
"step": 640 |
|
}, |
|
{ |
|
"epoch": 3.25, |
|
"eval_accuracy": 0.4950146627565982, |
|
"eval_loss": 1.8420542478561401, |
|
"eval_runtime": 30.3002, |
|
"eval_samples_per_second": 56.27, |
|
"eval_steps_per_second": 7.063, |
|
"step": 640 |
|
} |
|
], |
|
"max_steps": 2955, |
|
"num_train_epochs": 15, |
|
"total_flos": 7.9058203969348e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|