{ "best_metric": 0.8478260869565217, "best_model_checkpoint": "vit-base-patch16-224-ve-U13b-80RX\\checkpoint-103", "epoch": 39.61165048543689, "eval_steps": 500, "global_step": 680, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.58, "learning_rate": 1.6176470588235296e-05, "loss": 1.3857, "step": 10 }, { "epoch": 0.99, "eval_accuracy": 0.5652173913043478, "eval_loss": 1.370294451713562, "eval_runtime": 0.8127, "eval_samples_per_second": 56.602, "eval_steps_per_second": 7.383, "step": 17 }, { "epoch": 1.17, "learning_rate": 3.235294117647059e-05, "loss": 1.3738, "step": 20 }, { "epoch": 1.75, "learning_rate": 4.8529411764705885e-05, "loss": 1.3134, "step": 30 }, { "epoch": 1.98, "eval_accuracy": 0.45652173913043476, "eval_loss": 1.2235466241836548, "eval_runtime": 0.7992, "eval_samples_per_second": 57.558, "eval_steps_per_second": 7.508, "step": 34 }, { "epoch": 2.33, "learning_rate": 5.448916408668731e-05, "loss": 1.1875, "step": 40 }, { "epoch": 2.91, "learning_rate": 5.363777089783282e-05, "loss": 1.0384, "step": 50 }, { "epoch": 2.97, "eval_accuracy": 0.5434782608695652, "eval_loss": 1.0173379182815552, "eval_runtime": 0.8032, "eval_samples_per_second": 57.271, "eval_steps_per_second": 7.47, "step": 51 }, { "epoch": 3.5, "learning_rate": 5.278637770897833e-05, "loss": 0.908, "step": 60 }, { "epoch": 3.96, "eval_accuracy": 0.782608695652174, "eval_loss": 0.8346009254455566, "eval_runtime": 0.7872, "eval_samples_per_second": 58.435, "eval_steps_per_second": 7.622, "step": 68 }, { "epoch": 4.08, "learning_rate": 5.193498452012384e-05, "loss": 0.8671, "step": 70 }, { "epoch": 4.66, "learning_rate": 5.108359133126935e-05, "loss": 0.75, "step": 80 }, { "epoch": 4.95, "eval_accuracy": 0.782608695652174, "eval_loss": 0.7342777252197266, "eval_runtime": 0.8302, "eval_samples_per_second": 55.408, "eval_steps_per_second": 7.227, "step": 85 }, { "epoch": 5.24, "learning_rate": 5.023219814241486e-05, "loss": 0.6277, "step": 90 }, { "epoch": 5.83, "learning_rate": 4.9380804953560375e-05, "loss": 0.5131, "step": 100 }, { "epoch": 6.0, "eval_accuracy": 0.8478260869565217, "eval_loss": 0.6099294424057007, "eval_runtime": 0.8737, "eval_samples_per_second": 52.649, "eval_steps_per_second": 6.867, "step": 103 }, { "epoch": 6.41, "learning_rate": 4.8529411764705885e-05, "loss": 0.441, "step": 110 }, { "epoch": 6.99, "learning_rate": 4.7678018575851394e-05, "loss": 0.395, "step": 120 }, { "epoch": 6.99, "eval_accuracy": 0.782608695652174, "eval_loss": 0.5931932926177979, "eval_runtime": 0.8642, "eval_samples_per_second": 53.227, "eval_steps_per_second": 6.943, "step": 120 }, { "epoch": 7.57, "learning_rate": 4.6826625386996904e-05, "loss": 0.355, "step": 130 }, { "epoch": 7.98, "eval_accuracy": 0.7391304347826086, "eval_loss": 0.7208946943283081, "eval_runtime": 0.8322, "eval_samples_per_second": 55.275, "eval_steps_per_second": 7.21, "step": 137 }, { "epoch": 8.16, "learning_rate": 4.597523219814241e-05, "loss": 0.339, "step": 140 }, { "epoch": 8.74, "learning_rate": 4.512383900928793e-05, "loss": 0.2658, "step": 150 }, { "epoch": 8.97, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.5652452707290649, "eval_runtime": 0.7862, "eval_samples_per_second": 58.511, "eval_steps_per_second": 7.632, "step": 154 }, { "epoch": 9.32, "learning_rate": 4.427244582043344e-05, "loss": 0.2305, "step": 160 }, { "epoch": 9.9, "learning_rate": 4.342105263157895e-05, "loss": 0.248, "step": 170 }, { "epoch": 9.96, "eval_accuracy": 0.782608695652174, "eval_loss": 0.7103272080421448, "eval_runtime": 0.8142, "eval_samples_per_second": 56.498, "eval_steps_per_second": 7.369, "step": 171 }, { "epoch": 10.49, "learning_rate": 4.2569659442724465e-05, "loss": 0.2086, "step": 180 }, { "epoch": 10.95, "eval_accuracy": 0.7608695652173914, "eval_loss": 0.6788336038589478, "eval_runtime": 0.8397, "eval_samples_per_second": 54.782, "eval_steps_per_second": 7.145, "step": 188 }, { "epoch": 11.07, "learning_rate": 4.171826625386997e-05, "loss": 0.2348, "step": 190 }, { "epoch": 11.65, "learning_rate": 4.0866873065015484e-05, "loss": 0.1532, "step": 200 }, { "epoch": 12.0, "eval_accuracy": 0.782608695652174, "eval_loss": 0.5725099444389343, "eval_runtime": 0.8672, "eval_samples_per_second": 53.045, "eval_steps_per_second": 6.919, "step": 206 }, { "epoch": 12.23, "learning_rate": 4.001547987616099e-05, "loss": 0.161, "step": 210 }, { "epoch": 12.82, "learning_rate": 3.91640866873065e-05, "loss": 0.147, "step": 220 }, { "epoch": 12.99, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.6129825115203857, "eval_runtime": 0.7782, "eval_samples_per_second": 59.112, "eval_steps_per_second": 7.71, "step": 223 }, { "epoch": 13.4, "learning_rate": 3.831269349845202e-05, "loss": 0.1096, "step": 230 }, { "epoch": 13.98, "learning_rate": 3.746130030959752e-05, "loss": 0.1145, "step": 240 }, { "epoch": 13.98, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.656341552734375, "eval_runtime": 0.7982, "eval_samples_per_second": 57.63, "eval_steps_per_second": 7.517, "step": 240 }, { "epoch": 14.56, "learning_rate": 3.660990712074304e-05, "loss": 0.1053, "step": 250 }, { "epoch": 14.97, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.5992771983146667, "eval_runtime": 0.7932, "eval_samples_per_second": 57.993, "eval_steps_per_second": 7.564, "step": 257 }, { "epoch": 15.15, "learning_rate": 3.575851393188854e-05, "loss": 0.1246, "step": 260 }, { "epoch": 15.73, "learning_rate": 3.490712074303406e-05, "loss": 0.0971, "step": 270 }, { "epoch": 15.96, "eval_accuracy": 0.7391304347826086, "eval_loss": 0.8839967250823975, "eval_runtime": 0.8222, "eval_samples_per_second": 55.947, "eval_steps_per_second": 7.297, "step": 274 }, { "epoch": 16.31, "learning_rate": 3.405572755417957e-05, "loss": 0.1263, "step": 280 }, { "epoch": 16.89, "learning_rate": 3.3204334365325076e-05, "loss": 0.0947, "step": 290 }, { "epoch": 16.95, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.6255514025688171, "eval_runtime": 0.8982, "eval_samples_per_second": 51.213, "eval_steps_per_second": 6.68, "step": 291 }, { "epoch": 17.48, "learning_rate": 3.235294117647059e-05, "loss": 0.1055, "step": 300 }, { "epoch": 18.0, "eval_accuracy": 0.7608695652173914, "eval_loss": 0.8406044244766235, "eval_runtime": 0.8512, "eval_samples_per_second": 54.041, "eval_steps_per_second": 7.049, "step": 309 }, { "epoch": 18.06, "learning_rate": 3.1501547987616095e-05, "loss": 0.1069, "step": 310 }, { "epoch": 18.64, "learning_rate": 3.065015479876161e-05, "loss": 0.0974, "step": 320 }, { "epoch": 18.99, "eval_accuracy": 0.8478260869565217, "eval_loss": 0.6354570984840393, "eval_runtime": 0.9072, "eval_samples_per_second": 50.705, "eval_steps_per_second": 6.614, "step": 326 }, { "epoch": 19.22, "learning_rate": 2.9798761609907124e-05, "loss": 0.1043, "step": 330 }, { "epoch": 19.81, "learning_rate": 2.894736842105263e-05, "loss": 0.1215, "step": 340 }, { "epoch": 19.98, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.6650977730751038, "eval_runtime": 0.7947, "eval_samples_per_second": 57.885, "eval_steps_per_second": 7.55, "step": 343 }, { "epoch": 20.39, "learning_rate": 2.8095975232198143e-05, "loss": 0.0847, "step": 350 }, { "epoch": 20.97, "learning_rate": 2.7244582043343656e-05, "loss": 0.108, "step": 360 }, { "epoch": 20.97, "eval_accuracy": 0.782608695652174, "eval_loss": 0.8301287889480591, "eval_runtime": 0.8602, "eval_samples_per_second": 53.476, "eval_steps_per_second": 6.975, "step": 360 }, { "epoch": 21.55, "learning_rate": 2.6393188854489165e-05, "loss": 0.0784, "step": 370 }, { "epoch": 21.96, "eval_accuracy": 0.7608695652173914, "eval_loss": 0.8837165832519531, "eval_runtime": 0.8957, "eval_samples_per_second": 51.356, "eval_steps_per_second": 6.699, "step": 377 }, { "epoch": 22.14, "learning_rate": 2.5541795665634675e-05, "loss": 0.0725, "step": 380 }, { "epoch": 22.72, "learning_rate": 2.4690402476780188e-05, "loss": 0.0919, "step": 390 }, { "epoch": 22.95, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.6985116004943848, "eval_runtime": 0.8562, "eval_samples_per_second": 53.726, "eval_steps_per_second": 7.008, "step": 394 }, { "epoch": 23.3, "learning_rate": 2.3839009287925697e-05, "loss": 0.0696, "step": 400 }, { "epoch": 23.88, "learning_rate": 2.2987616099071207e-05, "loss": 0.064, "step": 410 }, { "epoch": 24.0, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.6426486968994141, "eval_runtime": 0.9203, "eval_samples_per_second": 49.983, "eval_steps_per_second": 6.519, "step": 412 }, { "epoch": 24.47, "learning_rate": 2.213622291021672e-05, "loss": 0.0669, "step": 420 }, { "epoch": 24.99, "eval_accuracy": 0.782608695652174, "eval_loss": 0.8101781010627747, "eval_runtime": 0.8456, "eval_samples_per_second": 54.397, "eval_steps_per_second": 7.095, "step": 429 }, { "epoch": 25.05, "learning_rate": 2.1284829721362232e-05, "loss": 0.0994, "step": 430 }, { "epoch": 25.63, "learning_rate": 2.0433436532507742e-05, "loss": 0.0878, "step": 440 }, { "epoch": 25.98, "eval_accuracy": 0.7391304347826086, "eval_loss": 0.7863481640815735, "eval_runtime": 0.8658, "eval_samples_per_second": 53.128, "eval_steps_per_second": 6.93, "step": 446 }, { "epoch": 26.21, "learning_rate": 1.958204334365325e-05, "loss": 0.0725, "step": 450 }, { "epoch": 26.8, "learning_rate": 1.873065015479876e-05, "loss": 0.0875, "step": 460 }, { "epoch": 26.97, "eval_accuracy": 0.7608695652173914, "eval_loss": 0.8777241706848145, "eval_runtime": 0.8092, "eval_samples_per_second": 56.848, "eval_steps_per_second": 7.415, "step": 463 }, { "epoch": 27.38, "learning_rate": 1.787925696594427e-05, "loss": 0.0641, "step": 470 }, { "epoch": 27.96, "learning_rate": 1.7027863777089787e-05, "loss": 0.0441, "step": 480 }, { "epoch": 27.96, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.7324451208114624, "eval_runtime": 0.8494, "eval_samples_per_second": 54.159, "eval_steps_per_second": 7.064, "step": 480 }, { "epoch": 28.54, "learning_rate": 1.6176470588235296e-05, "loss": 0.088, "step": 490 }, { "epoch": 28.95, "eval_accuracy": 0.782608695652174, "eval_loss": 0.8099210858345032, "eval_runtime": 0.8292, "eval_samples_per_second": 55.476, "eval_steps_per_second": 7.236, "step": 497 }, { "epoch": 29.13, "learning_rate": 1.5325077399380806e-05, "loss": 0.0691, "step": 500 }, { "epoch": 29.71, "learning_rate": 1.4473684210526315e-05, "loss": 0.0739, "step": 510 }, { "epoch": 30.0, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.7775710821151733, "eval_runtime": 0.8582, "eval_samples_per_second": 53.601, "eval_steps_per_second": 6.991, "step": 515 }, { "epoch": 30.29, "learning_rate": 1.3622291021671828e-05, "loss": 0.0447, "step": 520 }, { "epoch": 30.87, "learning_rate": 1.2770897832817337e-05, "loss": 0.0598, "step": 530 }, { "epoch": 30.99, "eval_accuracy": 0.782608695652174, "eval_loss": 0.8187718391418457, "eval_runtime": 0.8752, "eval_samples_per_second": 52.558, "eval_steps_per_second": 6.855, "step": 532 }, { "epoch": 31.46, "learning_rate": 1.1919504643962849e-05, "loss": 0.0443, "step": 540 }, { "epoch": 31.98, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.8549073934555054, "eval_runtime": 0.9272, "eval_samples_per_second": 49.611, "eval_steps_per_second": 6.471, "step": 549 }, { "epoch": 32.04, "learning_rate": 1.106811145510836e-05, "loss": 0.0577, "step": 550 }, { "epoch": 32.62, "learning_rate": 1.0216718266253871e-05, "loss": 0.0376, "step": 560 }, { "epoch": 32.97, "eval_accuracy": 0.782608695652174, "eval_loss": 0.8048975467681885, "eval_runtime": 0.7812, "eval_samples_per_second": 58.886, "eval_steps_per_second": 7.681, "step": 566 }, { "epoch": 33.2, "learning_rate": 9.36532507739938e-06, "loss": 0.0406, "step": 570 }, { "epoch": 33.79, "learning_rate": 8.513931888544893e-06, "loss": 0.0375, "step": 580 }, { "epoch": 33.96, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.8037001490592957, "eval_runtime": 0.8452, "eval_samples_per_second": 54.424, "eval_steps_per_second": 7.099, "step": 583 }, { "epoch": 34.37, "learning_rate": 7.662538699690403e-06, "loss": 0.0485, "step": 590 }, { "epoch": 34.95, "learning_rate": 6.811145510835914e-06, "loss": 0.0346, "step": 600 }, { "epoch": 34.95, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.8255174160003662, "eval_runtime": 0.8432, "eval_samples_per_second": 54.555, "eval_steps_per_second": 7.116, "step": 600 }, { "epoch": 35.53, "learning_rate": 5.959752321981424e-06, "loss": 0.0471, "step": 610 }, { "epoch": 36.0, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.823909342288971, "eval_runtime": 0.8722, "eval_samples_per_second": 52.74, "eval_steps_per_second": 6.879, "step": 618 }, { "epoch": 36.12, "learning_rate": 5.1083591331269355e-06, "loss": 0.0285, "step": 620 }, { "epoch": 36.7, "learning_rate": 4.256965944272447e-06, "loss": 0.0669, "step": 630 }, { "epoch": 36.99, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.8187545537948608, "eval_runtime": 0.8572, "eval_samples_per_second": 53.663, "eval_steps_per_second": 6.999, "step": 635 }, { "epoch": 37.28, "learning_rate": 3.405572755417957e-06, "loss": 0.0386, "step": 640 }, { "epoch": 37.86, "learning_rate": 2.5541795665634677e-06, "loss": 0.0438, "step": 650 }, { "epoch": 37.98, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.8443450927734375, "eval_runtime": 0.8317, "eval_samples_per_second": 55.309, "eval_steps_per_second": 7.214, "step": 652 }, { "epoch": 38.45, "learning_rate": 1.7027863777089785e-06, "loss": 0.0549, "step": 660 }, { "epoch": 38.97, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.8550635576248169, "eval_runtime": 0.8407, "eval_samples_per_second": 54.716, "eval_steps_per_second": 7.137, "step": 669 }, { "epoch": 39.03, "learning_rate": 8.513931888544892e-07, "loss": 0.0368, "step": 670 }, { "epoch": 39.61, "learning_rate": 0.0, "loss": 0.0622, "step": 680 }, { "epoch": 39.61, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.8551087379455566, "eval_runtime": 0.7647, "eval_samples_per_second": 60.156, "eval_steps_per_second": 7.846, "step": 680 }, { "epoch": 39.61, "step": 680, "total_flos": 2.5142726714989363e+18, "train_loss": 0.24349691933568787, "train_runtime": 652.5132, "train_samples_per_second": 50.206, "train_steps_per_second": 1.042 } ], "logging_steps": 10, "max_steps": 680, "num_input_tokens_seen": 0, "num_train_epochs": 40, "save_steps": 500, "total_flos": 2.5142726714989363e+18, "train_batch_size": 8, "trial_name": null, "trial_params": null }