|
{ |
|
"best_metric": 0.6666666666666666, |
|
"best_model_checkpoint": "swinv2-tiny-patch4-window8-256-dmae-va-U5-42B\\checkpoint-209", |
|
"epoch": 37.935483870967744, |
|
"eval_steps": 500, |
|
"global_step": 294, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.9, |
|
"eval_accuracy": 0.11666666666666667, |
|
"eval_loss": 7.866283893585205, |
|
"eval_runtime": 0.8861, |
|
"eval_samples_per_second": 67.712, |
|
"eval_steps_per_second": 2.257, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 1.55, |
|
"learning_rate": 1.6000000000000003e-05, |
|
"loss": 6.936, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 1.94, |
|
"eval_accuracy": 0.11666666666666667, |
|
"eval_loss": 7.757172584533691, |
|
"eval_runtime": 0.8501, |
|
"eval_samples_per_second": 70.577, |
|
"eval_steps_per_second": 2.353, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 2.97, |
|
"eval_accuracy": 0.11666666666666667, |
|
"eval_loss": 7.178952217102051, |
|
"eval_runtime": 0.9919, |
|
"eval_samples_per_second": 60.493, |
|
"eval_steps_per_second": 2.016, |
|
"step": 23 |
|
}, |
|
{ |
|
"epoch": 3.1, |
|
"learning_rate": 3.2000000000000005e-05, |
|
"loss": 6.7016, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.11666666666666667, |
|
"eval_loss": 5.903270244598389, |
|
"eval_runtime": 0.9119, |
|
"eval_samples_per_second": 65.796, |
|
"eval_steps_per_second": 2.193, |
|
"step": 31 |
|
}, |
|
{ |
|
"epoch": 4.65, |
|
"learning_rate": 3.909090909090909e-05, |
|
"loss": 5.5439, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 4.9, |
|
"eval_accuracy": 0.11666666666666667, |
|
"eval_loss": 4.611630916595459, |
|
"eval_runtime": 0.8484, |
|
"eval_samples_per_second": 70.723, |
|
"eval_steps_per_second": 2.357, |
|
"step": 38 |
|
}, |
|
{ |
|
"epoch": 5.94, |
|
"eval_accuracy": 0.11666666666666667, |
|
"eval_loss": 3.2829790115356445, |
|
"eval_runtime": 0.8288, |
|
"eval_samples_per_second": 72.396, |
|
"eval_steps_per_second": 2.413, |
|
"step": 46 |
|
}, |
|
{ |
|
"epoch": 6.19, |
|
"learning_rate": 3.7272727272727276e-05, |
|
"loss": 3.6477, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 6.97, |
|
"eval_accuracy": 0.11666666666666667, |
|
"eval_loss": 2.2014169692993164, |
|
"eval_runtime": 0.9115, |
|
"eval_samples_per_second": 65.826, |
|
"eval_steps_per_second": 2.194, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 7.74, |
|
"learning_rate": 3.545454545454546e-05, |
|
"loss": 2.2506, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.45, |
|
"eval_loss": 1.5647218227386475, |
|
"eval_runtime": 0.9989, |
|
"eval_samples_per_second": 60.066, |
|
"eval_steps_per_second": 2.002, |
|
"step": 62 |
|
}, |
|
{ |
|
"epoch": 8.9, |
|
"eval_accuracy": 0.45, |
|
"eval_loss": 1.3160017728805542, |
|
"eval_runtime": 0.8669, |
|
"eval_samples_per_second": 69.211, |
|
"eval_steps_per_second": 2.307, |
|
"step": 69 |
|
}, |
|
{ |
|
"epoch": 9.29, |
|
"learning_rate": 3.363636363636364e-05, |
|
"loss": 1.5088, |
|
"step": 72 |
|
}, |
|
{ |
|
"epoch": 9.94, |
|
"eval_accuracy": 0.3333333333333333, |
|
"eval_loss": 1.3676066398620605, |
|
"eval_runtime": 0.8692, |
|
"eval_samples_per_second": 69.028, |
|
"eval_steps_per_second": 2.301, |
|
"step": 77 |
|
}, |
|
{ |
|
"epoch": 10.84, |
|
"learning_rate": 3.181818181818182e-05, |
|
"loss": 1.3868, |
|
"step": 84 |
|
}, |
|
{ |
|
"epoch": 10.97, |
|
"eval_accuracy": 0.45, |
|
"eval_loss": 1.3390430212020874, |
|
"eval_runtime": 0.8862, |
|
"eval_samples_per_second": 67.708, |
|
"eval_steps_per_second": 2.257, |
|
"step": 85 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_accuracy": 0.38333333333333336, |
|
"eval_loss": 1.322303056716919, |
|
"eval_runtime": 0.8998, |
|
"eval_samples_per_second": 66.681, |
|
"eval_steps_per_second": 2.223, |
|
"step": 93 |
|
}, |
|
{ |
|
"epoch": 12.39, |
|
"learning_rate": 3.0000000000000004e-05, |
|
"loss": 1.351, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 12.9, |
|
"eval_accuracy": 0.45, |
|
"eval_loss": 1.3155896663665771, |
|
"eval_runtime": 0.867, |
|
"eval_samples_per_second": 69.206, |
|
"eval_steps_per_second": 2.307, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 13.94, |
|
"learning_rate": 2.8181818181818185e-05, |
|
"loss": 1.3271, |
|
"step": 108 |
|
}, |
|
{ |
|
"epoch": 13.94, |
|
"eval_accuracy": 0.48333333333333334, |
|
"eval_loss": 1.3484553098678589, |
|
"eval_runtime": 0.8698, |
|
"eval_samples_per_second": 68.985, |
|
"eval_steps_per_second": 2.299, |
|
"step": 108 |
|
}, |
|
{ |
|
"epoch": 14.97, |
|
"eval_accuracy": 0.48333333333333334, |
|
"eval_loss": 1.2645785808563232, |
|
"eval_runtime": 0.9492, |
|
"eval_samples_per_second": 63.21, |
|
"eval_steps_per_second": 2.107, |
|
"step": 116 |
|
}, |
|
{ |
|
"epoch": 15.48, |
|
"learning_rate": 2.6363636363636365e-05, |
|
"loss": 1.2322, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 16.0, |
|
"eval_accuracy": 0.48333333333333334, |
|
"eval_loss": 1.2307511568069458, |
|
"eval_runtime": 0.8623, |
|
"eval_samples_per_second": 69.584, |
|
"eval_steps_per_second": 2.319, |
|
"step": 124 |
|
}, |
|
{ |
|
"epoch": 16.9, |
|
"eval_accuracy": 0.5, |
|
"eval_loss": 1.215951681137085, |
|
"eval_runtime": 0.8482, |
|
"eval_samples_per_second": 70.734, |
|
"eval_steps_per_second": 2.358, |
|
"step": 131 |
|
}, |
|
{ |
|
"epoch": 17.03, |
|
"learning_rate": 2.454545454545455e-05, |
|
"loss": 1.22, |
|
"step": 132 |
|
}, |
|
{ |
|
"epoch": 17.94, |
|
"eval_accuracy": 0.5, |
|
"eval_loss": 1.2015122175216675, |
|
"eval_runtime": 0.8406, |
|
"eval_samples_per_second": 71.379, |
|
"eval_steps_per_second": 2.379, |
|
"step": 139 |
|
}, |
|
{ |
|
"epoch": 18.58, |
|
"learning_rate": 2.2727272727272733e-05, |
|
"loss": 1.1899, |
|
"step": 144 |
|
}, |
|
{ |
|
"epoch": 18.97, |
|
"eval_accuracy": 0.5, |
|
"eval_loss": 1.2008181810379028, |
|
"eval_runtime": 0.9372, |
|
"eval_samples_per_second": 64.019, |
|
"eval_steps_per_second": 2.134, |
|
"step": 147 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"eval_accuracy": 0.5, |
|
"eval_loss": 1.1605515480041504, |
|
"eval_runtime": 1.0194, |
|
"eval_samples_per_second": 58.858, |
|
"eval_steps_per_second": 1.962, |
|
"step": 155 |
|
}, |
|
{ |
|
"epoch": 20.13, |
|
"learning_rate": 2.090909090909091e-05, |
|
"loss": 1.109, |
|
"step": 156 |
|
}, |
|
{ |
|
"epoch": 20.9, |
|
"eval_accuracy": 0.5666666666666667, |
|
"eval_loss": 1.118190050125122, |
|
"eval_runtime": 0.8587, |
|
"eval_samples_per_second": 69.877, |
|
"eval_steps_per_second": 2.329, |
|
"step": 162 |
|
}, |
|
{ |
|
"epoch": 21.68, |
|
"learning_rate": 1.9090909090909094e-05, |
|
"loss": 1.0603, |
|
"step": 168 |
|
}, |
|
{ |
|
"epoch": 21.94, |
|
"eval_accuracy": 0.5333333333333333, |
|
"eval_loss": 1.0855048894882202, |
|
"eval_runtime": 0.8678, |
|
"eval_samples_per_second": 69.144, |
|
"eval_steps_per_second": 2.305, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 22.97, |
|
"eval_accuracy": 0.5666666666666667, |
|
"eval_loss": 1.0762869119644165, |
|
"eval_runtime": 0.9558, |
|
"eval_samples_per_second": 62.772, |
|
"eval_steps_per_second": 2.092, |
|
"step": 178 |
|
}, |
|
{ |
|
"epoch": 23.23, |
|
"learning_rate": 1.7272727272727274e-05, |
|
"loss": 1.0264, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 24.0, |
|
"eval_accuracy": 0.5833333333333334, |
|
"eval_loss": 1.1152801513671875, |
|
"eval_runtime": 0.9634, |
|
"eval_samples_per_second": 62.28, |
|
"eval_steps_per_second": 2.076, |
|
"step": 186 |
|
}, |
|
{ |
|
"epoch": 24.77, |
|
"learning_rate": 1.5454545454545454e-05, |
|
"loss": 1.0086, |
|
"step": 192 |
|
}, |
|
{ |
|
"epoch": 24.9, |
|
"eval_accuracy": 0.65, |
|
"eval_loss": 1.0770429372787476, |
|
"eval_runtime": 0.8946, |
|
"eval_samples_per_second": 67.069, |
|
"eval_steps_per_second": 2.236, |
|
"step": 193 |
|
}, |
|
{ |
|
"epoch": 25.94, |
|
"eval_accuracy": 0.6166666666666667, |
|
"eval_loss": 1.0040525197982788, |
|
"eval_runtime": 0.8805, |
|
"eval_samples_per_second": 68.142, |
|
"eval_steps_per_second": 2.271, |
|
"step": 201 |
|
}, |
|
{ |
|
"epoch": 26.32, |
|
"learning_rate": 1.3636363636363637e-05, |
|
"loss": 0.9301, |
|
"step": 204 |
|
}, |
|
{ |
|
"epoch": 26.97, |
|
"eval_accuracy": 0.6666666666666666, |
|
"eval_loss": 0.9636775851249695, |
|
"eval_runtime": 0.9061, |
|
"eval_samples_per_second": 66.221, |
|
"eval_steps_per_second": 2.207, |
|
"step": 209 |
|
}, |
|
{ |
|
"epoch": 27.87, |
|
"learning_rate": 1.181818181818182e-05, |
|
"loss": 0.9077, |
|
"step": 216 |
|
}, |
|
{ |
|
"epoch": 28.0, |
|
"eval_accuracy": 0.5833333333333334, |
|
"eval_loss": 0.9824321866035461, |
|
"eval_runtime": 0.8887, |
|
"eval_samples_per_second": 67.511, |
|
"eval_steps_per_second": 2.25, |
|
"step": 217 |
|
}, |
|
{ |
|
"epoch": 28.9, |
|
"eval_accuracy": 0.6, |
|
"eval_loss": 0.9485177397727966, |
|
"eval_runtime": 0.9068, |
|
"eval_samples_per_second": 66.168, |
|
"eval_steps_per_second": 2.206, |
|
"step": 224 |
|
}, |
|
{ |
|
"epoch": 29.42, |
|
"learning_rate": 1e-05, |
|
"loss": 0.8725, |
|
"step": 228 |
|
}, |
|
{ |
|
"epoch": 29.94, |
|
"eval_accuracy": 0.6166666666666667, |
|
"eval_loss": 0.9294353723526001, |
|
"eval_runtime": 0.8792, |
|
"eval_samples_per_second": 68.246, |
|
"eval_steps_per_second": 2.275, |
|
"step": 232 |
|
}, |
|
{ |
|
"epoch": 30.97, |
|
"learning_rate": 8.181818181818183e-06, |
|
"loss": 0.8203, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 30.97, |
|
"eval_accuracy": 0.6166666666666667, |
|
"eval_loss": 0.9347657561302185, |
|
"eval_runtime": 0.8842, |
|
"eval_samples_per_second": 67.856, |
|
"eval_steps_per_second": 2.262, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 32.0, |
|
"eval_accuracy": 0.6, |
|
"eval_loss": 0.9295245409011841, |
|
"eval_runtime": 0.8786, |
|
"eval_samples_per_second": 68.289, |
|
"eval_steps_per_second": 2.276, |
|
"step": 248 |
|
}, |
|
{ |
|
"epoch": 32.52, |
|
"learning_rate": 6.363636363636364e-06, |
|
"loss": 0.8211, |
|
"step": 252 |
|
}, |
|
{ |
|
"epoch": 32.9, |
|
"eval_accuracy": 0.6, |
|
"eval_loss": 0.9167192578315735, |
|
"eval_runtime": 0.8974, |
|
"eval_samples_per_second": 66.863, |
|
"eval_steps_per_second": 2.229, |
|
"step": 255 |
|
}, |
|
{ |
|
"epoch": 33.94, |
|
"eval_accuracy": 0.5833333333333334, |
|
"eval_loss": 0.9280623197555542, |
|
"eval_runtime": 0.8572, |
|
"eval_samples_per_second": 69.993, |
|
"eval_steps_per_second": 2.333, |
|
"step": 263 |
|
}, |
|
{ |
|
"epoch": 34.06, |
|
"learning_rate": 4.5454545454545455e-06, |
|
"loss": 0.7916, |
|
"step": 264 |
|
}, |
|
{ |
|
"epoch": 34.97, |
|
"eval_accuracy": 0.6333333333333333, |
|
"eval_loss": 0.880310595035553, |
|
"eval_runtime": 0.8918, |
|
"eval_samples_per_second": 67.281, |
|
"eval_steps_per_second": 2.243, |
|
"step": 271 |
|
}, |
|
{ |
|
"epoch": 35.61, |
|
"learning_rate": 2.7272727272727272e-06, |
|
"loss": 0.7822, |
|
"step": 276 |
|
}, |
|
{ |
|
"epoch": 36.0, |
|
"eval_accuracy": 0.6333333333333333, |
|
"eval_loss": 0.8785258531570435, |
|
"eval_runtime": 0.8791, |
|
"eval_samples_per_second": 68.25, |
|
"eval_steps_per_second": 2.275, |
|
"step": 279 |
|
}, |
|
{ |
|
"epoch": 36.9, |
|
"eval_accuracy": 0.6, |
|
"eval_loss": 0.8906211853027344, |
|
"eval_runtime": 0.8494, |
|
"eval_samples_per_second": 70.635, |
|
"eval_steps_per_second": 2.354, |
|
"step": 286 |
|
}, |
|
{ |
|
"epoch": 37.16, |
|
"learning_rate": 9.090909090909091e-07, |
|
"loss": 0.7937, |
|
"step": 288 |
|
}, |
|
{ |
|
"epoch": 37.94, |
|
"eval_accuracy": 0.6, |
|
"eval_loss": 0.889906108379364, |
|
"eval_runtime": 0.8734, |
|
"eval_samples_per_second": 68.698, |
|
"eval_steps_per_second": 2.29, |
|
"step": 294 |
|
}, |
|
{ |
|
"epoch": 37.94, |
|
"step": 294, |
|
"total_flos": 1.2027310550050406e+18, |
|
"train_loss": 1.86217847324553, |
|
"train_runtime": 485.4466, |
|
"train_samples_per_second": 84.269, |
|
"train_steps_per_second": 0.606 |
|
} |
|
], |
|
"logging_steps": 12, |
|
"max_steps": 294, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 42, |
|
"save_steps": 500, |
|
"total_flos": 1.2027310550050406e+18, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|