|
{ |
|
"best_metric": 0.929534375667572, |
|
"best_model_checkpoint": "./vit-base-beans-demo-v5/checkpoint-100", |
|
"epoch": 4.0, |
|
"eval_steps": 100, |
|
"global_step": 496, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.08, |
|
"grad_norm": 1.9071108102798462, |
|
"learning_rate": 0.00019596774193548388, |
|
"loss": 0.7806, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"grad_norm": 2.2380499839782715, |
|
"learning_rate": 0.00019193548387096775, |
|
"loss": 0.7214, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"grad_norm": 1.4890930652618408, |
|
"learning_rate": 0.00018790322580645164, |
|
"loss": 0.6215, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"grad_norm": 3.2323720455169678, |
|
"learning_rate": 0.00018387096774193548, |
|
"loss": 0.6378, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"grad_norm": 2.838930606842041, |
|
"learning_rate": 0.00017983870967741935, |
|
"loss": 0.7502, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"grad_norm": 3.2034356594085693, |
|
"learning_rate": 0.00017580645161290325, |
|
"loss": 0.5904, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.56, |
|
"grad_norm": 3.1891825199127197, |
|
"learning_rate": 0.00017177419354838711, |
|
"loss": 0.5718, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 0.65, |
|
"grad_norm": 2.0921356678009033, |
|
"learning_rate": 0.00016774193548387098, |
|
"loss": 0.3783, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.73, |
|
"grad_norm": 2.864804983139038, |
|
"learning_rate": 0.00016370967741935485, |
|
"loss": 0.6002, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"grad_norm": 3.1752126216888428, |
|
"learning_rate": 0.00015967741935483872, |
|
"loss": 0.6438, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"eval_accuracy": 0.634703196347032, |
|
"eval_loss": 0.929534375667572, |
|
"eval_runtime": 7.2962, |
|
"eval_samples_per_second": 30.016, |
|
"eval_steps_per_second": 3.838, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.89, |
|
"grad_norm": 2.728193521499634, |
|
"learning_rate": 0.0001556451612903226, |
|
"loss": 0.5441, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 0.97, |
|
"grad_norm": 2.140393018722534, |
|
"learning_rate": 0.00015161290322580646, |
|
"loss": 0.4403, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 1.05, |
|
"grad_norm": 0.6765386462211609, |
|
"learning_rate": 0.00014758064516129032, |
|
"loss": 0.3251, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 1.13, |
|
"grad_norm": 0.9497590661048889, |
|
"learning_rate": 0.00014354838709677422, |
|
"loss": 0.2046, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 1.21, |
|
"grad_norm": 4.010074615478516, |
|
"learning_rate": 0.00013991935483870967, |
|
"loss": 0.3276, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 1.29, |
|
"grad_norm": 3.7631189823150635, |
|
"learning_rate": 0.00013588709677419357, |
|
"loss": 0.2937, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 1.37, |
|
"grad_norm": 0.5803029537200928, |
|
"learning_rate": 0.00013185483870967743, |
|
"loss": 0.1906, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 1.45, |
|
"grad_norm": 5.088043212890625, |
|
"learning_rate": 0.0001278225806451613, |
|
"loss": 0.2207, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 1.53, |
|
"grad_norm": 2.3816022872924805, |
|
"learning_rate": 0.00012379032258064514, |
|
"loss": 0.1919, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 1.61, |
|
"grad_norm": 5.558553218841553, |
|
"learning_rate": 0.00011975806451612903, |
|
"loss": 0.3105, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 1.61, |
|
"eval_accuracy": 0.6575342465753424, |
|
"eval_loss": 0.9350173473358154, |
|
"eval_runtime": 7.7793, |
|
"eval_samples_per_second": 28.152, |
|
"eval_steps_per_second": 3.599, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 1.69, |
|
"grad_norm": 3.439823865890503, |
|
"learning_rate": 0.00011572580645161291, |
|
"loss": 0.3714, |
|
"step": 210 |
|
}, |
|
{ |
|
"epoch": 1.77, |
|
"grad_norm": 2.6023850440979004, |
|
"learning_rate": 0.00011169354838709678, |
|
"loss": 0.2869, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 1.85, |
|
"grad_norm": 3.2238519191741943, |
|
"learning_rate": 0.00010766129032258066, |
|
"loss": 0.4462, |
|
"step": 230 |
|
}, |
|
{ |
|
"epoch": 1.94, |
|
"grad_norm": 1.0531260967254639, |
|
"learning_rate": 0.00010362903225806453, |
|
"loss": 0.3634, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 2.02, |
|
"grad_norm": 0.5729889869689941, |
|
"learning_rate": 9.95967741935484e-05, |
|
"loss": 0.2624, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 2.1, |
|
"grad_norm": 0.1924820989370346, |
|
"learning_rate": 9.556451612903226e-05, |
|
"loss": 0.0999, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 2.18, |
|
"grad_norm": 0.39775505661964417, |
|
"learning_rate": 9.153225806451613e-05, |
|
"loss": 0.0938, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 2.26, |
|
"grad_norm": 0.22179947793483734, |
|
"learning_rate": 8.75e-05, |
|
"loss": 0.1017, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 2.34, |
|
"grad_norm": 1.6249357461929321, |
|
"learning_rate": 8.346774193548388e-05, |
|
"loss": 0.1745, |
|
"step": 290 |
|
}, |
|
{ |
|
"epoch": 2.42, |
|
"grad_norm": 0.34801536798477173, |
|
"learning_rate": 7.943548387096774e-05, |
|
"loss": 0.0634, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 2.42, |
|
"eval_accuracy": 0.6894977168949772, |
|
"eval_loss": 1.0781886577606201, |
|
"eval_runtime": 7.6715, |
|
"eval_samples_per_second": 28.547, |
|
"eval_steps_per_second": 3.65, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 2.5, |
|
"grad_norm": 2.6541597843170166, |
|
"learning_rate": 7.540322580645162e-05, |
|
"loss": 0.0772, |
|
"step": 310 |
|
}, |
|
{ |
|
"epoch": 2.58, |
|
"grad_norm": 0.1635380983352661, |
|
"learning_rate": 7.137096774193549e-05, |
|
"loss": 0.1042, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 2.66, |
|
"grad_norm": 1.126976490020752, |
|
"learning_rate": 6.733870967741935e-05, |
|
"loss": 0.1643, |
|
"step": 330 |
|
}, |
|
{ |
|
"epoch": 2.74, |
|
"grad_norm": 0.2140628844499588, |
|
"learning_rate": 6.330645161290322e-05, |
|
"loss": 0.0479, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 2.82, |
|
"grad_norm": 0.14856065809726715, |
|
"learning_rate": 5.9274193548387104e-05, |
|
"loss": 0.0606, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 2.9, |
|
"grad_norm": 1.9021470546722412, |
|
"learning_rate": 5.5241935483870966e-05, |
|
"loss": 0.0576, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 2.98, |
|
"grad_norm": 0.488421767950058, |
|
"learning_rate": 5.120967741935484e-05, |
|
"loss": 0.1573, |
|
"step": 370 |
|
}, |
|
{ |
|
"epoch": 3.06, |
|
"grad_norm": 0.27475953102111816, |
|
"learning_rate": 4.7177419354838716e-05, |
|
"loss": 0.0264, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 3.15, |
|
"grad_norm": 0.08814023435115814, |
|
"learning_rate": 4.3145161290322584e-05, |
|
"loss": 0.0197, |
|
"step": 390 |
|
}, |
|
{ |
|
"epoch": 3.23, |
|
"grad_norm": 0.10707065463066101, |
|
"learning_rate": 3.911290322580645e-05, |
|
"loss": 0.0257, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 3.23, |
|
"eval_accuracy": 0.6986301369863014, |
|
"eval_loss": 1.06435227394104, |
|
"eval_runtime": 7.0971, |
|
"eval_samples_per_second": 30.858, |
|
"eval_steps_per_second": 3.945, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 3.31, |
|
"grad_norm": 0.06996390968561172, |
|
"learning_rate": 3.508064516129033e-05, |
|
"loss": 0.0192, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 3.39, |
|
"grad_norm": 1.358115315437317, |
|
"learning_rate": 3.1048387096774195e-05, |
|
"loss": 0.0431, |
|
"step": 420 |
|
}, |
|
{ |
|
"epoch": 3.47, |
|
"grad_norm": 0.4962191581726074, |
|
"learning_rate": 2.7016129032258064e-05, |
|
"loss": 0.0573, |
|
"step": 430 |
|
}, |
|
{ |
|
"epoch": 3.55, |
|
"grad_norm": 0.08283121138811111, |
|
"learning_rate": 2.2983870967741935e-05, |
|
"loss": 0.0216, |
|
"step": 440 |
|
}, |
|
{ |
|
"epoch": 3.63, |
|
"grad_norm": 0.06285007297992706, |
|
"learning_rate": 1.8951612903225807e-05, |
|
"loss": 0.0169, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 3.71, |
|
"grad_norm": 0.10198648273944855, |
|
"learning_rate": 1.4919354838709679e-05, |
|
"loss": 0.0188, |
|
"step": 460 |
|
}, |
|
{ |
|
"epoch": 3.79, |
|
"grad_norm": 1.5539321899414062, |
|
"learning_rate": 1.0887096774193549e-05, |
|
"loss": 0.0227, |
|
"step": 470 |
|
}, |
|
{ |
|
"epoch": 3.87, |
|
"grad_norm": 0.06271003931760788, |
|
"learning_rate": 6.854838709677419e-06, |
|
"loss": 0.0212, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 3.95, |
|
"grad_norm": 0.1244824230670929, |
|
"learning_rate": 2.82258064516129e-06, |
|
"loss": 0.0183, |
|
"step": 490 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"step": 496, |
|
"total_flos": 6.10974224738132e+17, |
|
"train_loss": 0.25425288126233125, |
|
"train_runtime": 387.3536, |
|
"train_samples_per_second": 20.353, |
|
"train_steps_per_second": 1.28 |
|
} |
|
], |
|
"logging_steps": 10, |
|
"max_steps": 496, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 4, |
|
"save_steps": 100, |
|
"total_flos": 6.10974224738132e+17, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|