{ "best_metric": 0.8695652173913043, "best_model_checkpoint": "vit-base-patch16-224-ve-U13-b-80\\checkpoint-357", "epoch": 73.84615384615384, "eval_steps": 500, "global_step": 480, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.92, "eval_accuracy": 0.34782608695652173, "eval_loss": 1.3847672939300537, "eval_runtime": 0.8177, "eval_samples_per_second": 56.258, "eval_steps_per_second": 2.446, "step": 6 }, { "epoch": 1.54, "learning_rate": 2.2916666666666667e-05, "loss": 1.3848, "step": 10 }, { "epoch": 2.0, "eval_accuracy": 0.5217391304347826, "eval_loss": 1.369154930114746, "eval_runtime": 0.8317, "eval_samples_per_second": 55.306, "eval_steps_per_second": 2.405, "step": 13 }, { "epoch": 2.92, "eval_accuracy": 0.5869565217391305, "eval_loss": 1.3184399604797363, "eval_runtime": 0.811, "eval_samples_per_second": 56.718, "eval_steps_per_second": 2.466, "step": 19 }, { "epoch": 3.08, "learning_rate": 4.5833333333333334e-05, "loss": 1.352, "step": 20 }, { "epoch": 4.0, "eval_accuracy": 0.45652173913043476, "eval_loss": 1.2217472791671753, "eval_runtime": 0.8076, "eval_samples_per_second": 56.958, "eval_steps_per_second": 2.476, "step": 26 }, { "epoch": 4.62, "learning_rate": 5.4276315789473686e-05, "loss": 1.2316, "step": 30 }, { "epoch": 4.92, "eval_accuracy": 0.4782608695652174, "eval_loss": 1.1417979001998901, "eval_runtime": 0.8299, "eval_samples_per_second": 55.427, "eval_steps_per_second": 2.41, "step": 32 }, { "epoch": 6.0, "eval_accuracy": 0.4782608695652174, "eval_loss": 1.0688562393188477, "eval_runtime": 0.8061, "eval_samples_per_second": 57.067, "eval_steps_per_second": 2.481, "step": 39 }, { "epoch": 6.15, "learning_rate": 5.3070175438596496e-05, "loss": 1.0849, "step": 40 }, { "epoch": 6.92, "eval_accuracy": 0.5869565217391305, "eval_loss": 0.9931420683860779, "eval_runtime": 0.8005, "eval_samples_per_second": 57.467, "eval_steps_per_second": 2.499, "step": 45 }, { "epoch": 7.69, "learning_rate": 5.18640350877193e-05, "loss": 0.9314, "step": 50 }, { "epoch": 8.0, "eval_accuracy": 0.6956521739130435, "eval_loss": 0.9457834362983704, "eval_runtime": 0.8262, "eval_samples_per_second": 55.679, "eval_steps_per_second": 2.421, "step": 52 }, { "epoch": 8.92, "eval_accuracy": 0.6956521739130435, "eval_loss": 0.8674918413162231, "eval_runtime": 0.8035, "eval_samples_per_second": 57.252, "eval_steps_per_second": 2.489, "step": 58 }, { "epoch": 9.23, "learning_rate": 5.0657894736842104e-05, "loss": 0.8001, "step": 60 }, { "epoch": 10.0, "eval_accuracy": 0.717391304347826, "eval_loss": 0.8148000240325928, "eval_runtime": 0.7969, "eval_samples_per_second": 57.726, "eval_steps_per_second": 2.51, "step": 65 }, { "epoch": 10.77, "learning_rate": 4.9451754385964915e-05, "loss": 0.6493, "step": 70 }, { "epoch": 10.92, "eval_accuracy": 0.7608695652173914, "eval_loss": 0.769162118434906, "eval_runtime": 0.8005, "eval_samples_per_second": 57.466, "eval_steps_per_second": 2.499, "step": 71 }, { "epoch": 12.0, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.6428003311157227, "eval_runtime": 0.822, "eval_samples_per_second": 55.964, "eval_steps_per_second": 2.433, "step": 78 }, { "epoch": 12.31, "learning_rate": 4.824561403508772e-05, "loss": 0.5145, "step": 80 }, { "epoch": 12.92, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.6024693250656128, "eval_runtime": 0.8162, "eval_samples_per_second": 56.361, "eval_steps_per_second": 2.45, "step": 84 }, { "epoch": 13.85, "learning_rate": 4.703947368421053e-05, "loss": 0.379, "step": 90 }, { "epoch": 14.0, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.5621142387390137, "eval_runtime": 0.8058, "eval_samples_per_second": 57.084, "eval_steps_per_second": 2.482, "step": 91 }, { "epoch": 14.92, "eval_accuracy": 0.8478260869565217, "eval_loss": 0.5298471450805664, "eval_runtime": 0.8003, "eval_samples_per_second": 57.479, "eval_steps_per_second": 2.499, "step": 97 }, { "epoch": 15.38, "learning_rate": 4.5833333333333334e-05, "loss": 0.2942, "step": 100 }, { "epoch": 16.0, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.5791422128677368, "eval_runtime": 0.8077, "eval_samples_per_second": 56.953, "eval_steps_per_second": 2.476, "step": 104 }, { "epoch": 16.92, "learning_rate": 4.462719298245614e-05, "loss": 0.2096, "step": 110 }, { "epoch": 16.92, "eval_accuracy": 0.782608695652174, "eval_loss": 0.5814288854598999, "eval_runtime": 0.8643, "eval_samples_per_second": 53.224, "eval_steps_per_second": 2.314, "step": 110 }, { "epoch": 18.0, "eval_accuracy": 0.717391304347826, "eval_loss": 0.7828608751296997, "eval_runtime": 0.8165, "eval_samples_per_second": 56.341, "eval_steps_per_second": 2.45, "step": 117 }, { "epoch": 18.46, "learning_rate": 4.342105263157895e-05, "loss": 0.2113, "step": 120 }, { "epoch": 18.92, "eval_accuracy": 0.8478260869565217, "eval_loss": 0.5657770037651062, "eval_runtime": 0.8565, "eval_samples_per_second": 53.708, "eval_steps_per_second": 2.335, "step": 123 }, { "epoch": 20.0, "learning_rate": 4.221491228070176e-05, "loss": 0.2143, "step": 130 }, { "epoch": 20.0, "eval_accuracy": 0.7608695652173914, "eval_loss": 0.7036240696907043, "eval_runtime": 0.8255, "eval_samples_per_second": 55.723, "eval_steps_per_second": 2.423, "step": 130 }, { "epoch": 20.92, "eval_accuracy": 0.782608695652174, "eval_loss": 0.5923811197280884, "eval_runtime": 0.8302, "eval_samples_per_second": 55.408, "eval_steps_per_second": 2.409, "step": 136 }, { "epoch": 21.54, "learning_rate": 4.100877192982456e-05, "loss": 0.1752, "step": 140 }, { "epoch": 22.0, "eval_accuracy": 0.7608695652173914, "eval_loss": 0.6851876974105835, "eval_runtime": 0.8226, "eval_samples_per_second": 55.919, "eval_steps_per_second": 2.431, "step": 143 }, { "epoch": 22.92, "eval_accuracy": 0.7608695652173914, "eval_loss": 0.7237065434455872, "eval_runtime": 0.7855, "eval_samples_per_second": 58.561, "eval_steps_per_second": 2.546, "step": 149 }, { "epoch": 23.08, "learning_rate": 3.9802631578947374e-05, "loss": 0.1238, "step": 150 }, { "epoch": 24.0, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.674297571182251, "eval_runtime": 0.8164, "eval_samples_per_second": 56.342, "eval_steps_per_second": 2.45, "step": 156 }, { "epoch": 24.62, "learning_rate": 3.859649122807018e-05, "loss": 0.1401, "step": 160 }, { "epoch": 24.92, "eval_accuracy": 0.6956521739130435, "eval_loss": 0.8462918996810913, "eval_runtime": 0.8553, "eval_samples_per_second": 53.782, "eval_steps_per_second": 2.338, "step": 162 }, { "epoch": 26.0, "eval_accuracy": 0.7608695652173914, "eval_loss": 0.7871569991111755, "eval_runtime": 0.8495, "eval_samples_per_second": 54.151, "eval_steps_per_second": 2.354, "step": 169 }, { "epoch": 26.15, "learning_rate": 3.739035087719298e-05, "loss": 0.1544, "step": 170 }, { "epoch": 26.92, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.5491929054260254, "eval_runtime": 0.8006, "eval_samples_per_second": 57.46, "eval_steps_per_second": 2.498, "step": 175 }, { "epoch": 27.69, "learning_rate": 3.618421052631579e-05, "loss": 0.1163, "step": 180 }, { "epoch": 28.0, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.5755753517150879, "eval_runtime": 0.7952, "eval_samples_per_second": 57.85, "eval_steps_per_second": 2.515, "step": 182 }, { "epoch": 28.92, "eval_accuracy": 0.7608695652173914, "eval_loss": 0.7621129751205444, "eval_runtime": 0.8004, "eval_samples_per_second": 57.473, "eval_steps_per_second": 2.499, "step": 188 }, { "epoch": 29.23, "learning_rate": 3.49780701754386e-05, "loss": 0.1121, "step": 190 }, { "epoch": 30.0, "eval_accuracy": 0.782608695652174, "eval_loss": 0.6971735954284668, "eval_runtime": 0.8533, "eval_samples_per_second": 53.91, "eval_steps_per_second": 2.344, "step": 195 }, { "epoch": 30.77, "learning_rate": 3.377192982456141e-05, "loss": 0.1065, "step": 200 }, { "epoch": 30.92, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.5722712874412537, "eval_runtime": 0.8172, "eval_samples_per_second": 56.291, "eval_steps_per_second": 2.447, "step": 201 }, { "epoch": 32.0, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.7502769231796265, "eval_runtime": 0.82, "eval_samples_per_second": 56.099, "eval_steps_per_second": 2.439, "step": 208 }, { "epoch": 32.31, "learning_rate": 3.256578947368421e-05, "loss": 0.1021, "step": 210 }, { "epoch": 32.92, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.6127011775970459, "eval_runtime": 0.8337, "eval_samples_per_second": 55.178, "eval_steps_per_second": 2.399, "step": 214 }, { "epoch": 33.85, "learning_rate": 3.1359649122807015e-05, "loss": 0.1048, "step": 220 }, { "epoch": 34.0, "eval_accuracy": 0.8478260869565217, "eval_loss": 0.5733683109283447, "eval_runtime": 0.8175, "eval_samples_per_second": 56.266, "eval_steps_per_second": 2.446, "step": 221 }, { "epoch": 34.92, "eval_accuracy": 0.8478260869565217, "eval_loss": 0.5817247033119202, "eval_runtime": 0.7923, "eval_samples_per_second": 58.058, "eval_steps_per_second": 2.524, "step": 227 }, { "epoch": 35.38, "learning_rate": 3.0153508771929826e-05, "loss": 0.0848, "step": 230 }, { "epoch": 36.0, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.5902915000915527, "eval_runtime": 0.8146, "eval_samples_per_second": 56.47, "eval_steps_per_second": 2.455, "step": 234 }, { "epoch": 36.92, "learning_rate": 2.894736842105263e-05, "loss": 0.0769, "step": 240 }, { "epoch": 36.92, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.7073713541030884, "eval_runtime": 0.8284, "eval_samples_per_second": 55.526, "eval_steps_per_second": 2.414, "step": 240 }, { "epoch": 38.0, "eval_accuracy": 0.8478260869565217, "eval_loss": 0.5835453271865845, "eval_runtime": 0.8538, "eval_samples_per_second": 53.878, "eval_steps_per_second": 2.343, "step": 247 }, { "epoch": 38.46, "learning_rate": 2.774122807017544e-05, "loss": 0.0825, "step": 250 }, { "epoch": 38.92, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.6373018622398376, "eval_runtime": 0.8412, "eval_samples_per_second": 54.687, "eval_steps_per_second": 2.378, "step": 253 }, { "epoch": 40.0, "learning_rate": 2.6535087719298248e-05, "loss": 0.0676, "step": 260 }, { "epoch": 40.0, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.6793442368507385, "eval_runtime": 0.7973, "eval_samples_per_second": 57.693, "eval_steps_per_second": 2.508, "step": 260 }, { "epoch": 40.92, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.6555591225624084, "eval_runtime": 0.8468, "eval_samples_per_second": 54.321, "eval_steps_per_second": 2.362, "step": 266 }, { "epoch": 41.54, "learning_rate": 2.5328947368421052e-05, "loss": 0.0703, "step": 270 }, { "epoch": 42.0, "eval_accuracy": 0.8478260869565217, "eval_loss": 0.632850170135498, "eval_runtime": 0.8121, "eval_samples_per_second": 56.646, "eval_steps_per_second": 2.463, "step": 273 }, { "epoch": 42.92, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.68681401014328, "eval_runtime": 0.8165, "eval_samples_per_second": 56.337, "eval_steps_per_second": 2.449, "step": 279 }, { "epoch": 43.08, "learning_rate": 2.412280701754386e-05, "loss": 0.0574, "step": 280 }, { "epoch": 44.0, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.5996745824813843, "eval_runtime": 0.7976, "eval_samples_per_second": 57.67, "eval_steps_per_second": 2.507, "step": 286 }, { "epoch": 44.62, "learning_rate": 2.2916666666666667e-05, "loss": 0.0523, "step": 290 }, { "epoch": 44.92, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.5846443176269531, "eval_runtime": 0.8488, "eval_samples_per_second": 54.192, "eval_steps_per_second": 2.356, "step": 292 }, { "epoch": 46.0, "eval_accuracy": 0.8478260869565217, "eval_loss": 0.721405029296875, "eval_runtime": 0.8605, "eval_samples_per_second": 53.459, "eval_steps_per_second": 2.324, "step": 299 }, { "epoch": 46.15, "learning_rate": 2.1710526315789474e-05, "loss": 0.064, "step": 300 }, { "epoch": 46.92, "eval_accuracy": 0.8478260869565217, "eval_loss": 0.5229998230934143, "eval_runtime": 0.8295, "eval_samples_per_second": 55.454, "eval_steps_per_second": 2.411, "step": 305 }, { "epoch": 47.69, "learning_rate": 2.050438596491228e-05, "loss": 0.082, "step": 310 }, { "epoch": 48.0, "eval_accuracy": 0.8478260869565217, "eval_loss": 0.5849720239639282, "eval_runtime": 0.8195, "eval_samples_per_second": 56.134, "eval_steps_per_second": 2.441, "step": 312 }, { "epoch": 48.92, "eval_accuracy": 0.8478260869565217, "eval_loss": 0.634585976600647, "eval_runtime": 0.8166, "eval_samples_per_second": 56.328, "eval_steps_per_second": 2.449, "step": 318 }, { "epoch": 49.23, "learning_rate": 1.929824561403509e-05, "loss": 0.0694, "step": 320 }, { "epoch": 50.0, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.6389460563659668, "eval_runtime": 0.806, "eval_samples_per_second": 57.075, "eval_steps_per_second": 2.482, "step": 325 }, { "epoch": 50.77, "learning_rate": 1.8092105263157896e-05, "loss": 0.0462, "step": 330 }, { "epoch": 50.92, "eval_accuracy": 0.8478260869565217, "eval_loss": 0.5813049077987671, "eval_runtime": 0.8224, "eval_samples_per_second": 55.932, "eval_steps_per_second": 2.432, "step": 331 }, { "epoch": 52.0, "eval_accuracy": 0.8478260869565217, "eval_loss": 0.5792219042778015, "eval_runtime": 0.791, "eval_samples_per_second": 58.152, "eval_steps_per_second": 2.528, "step": 338 }, { "epoch": 52.31, "learning_rate": 1.6885964912280704e-05, "loss": 0.044, "step": 340 }, { "epoch": 52.92, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.5723995566368103, "eval_runtime": 0.8166, "eval_samples_per_second": 56.33, "eval_steps_per_second": 2.449, "step": 344 }, { "epoch": 53.85, "learning_rate": 1.5679824561403508e-05, "loss": 0.0538, "step": 350 }, { "epoch": 54.0, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.6293544769287109, "eval_runtime": 0.8204, "eval_samples_per_second": 56.069, "eval_steps_per_second": 2.438, "step": 351 }, { "epoch": 54.92, "eval_accuracy": 0.8695652173913043, "eval_loss": 0.5741947889328003, "eval_runtime": 0.8245, "eval_samples_per_second": 55.794, "eval_steps_per_second": 2.426, "step": 357 }, { "epoch": 55.38, "learning_rate": 1.4473684210526315e-05, "loss": 0.0455, "step": 360 }, { "epoch": 56.0, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.695148229598999, "eval_runtime": 0.7996, "eval_samples_per_second": 57.526, "eval_steps_per_second": 2.501, "step": 364 }, { "epoch": 56.92, "learning_rate": 1.3267543859649124e-05, "loss": 0.0537, "step": 370 }, { "epoch": 56.92, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.6457701325416565, "eval_runtime": 0.817, "eval_samples_per_second": 56.302, "eval_steps_per_second": 2.448, "step": 370 }, { "epoch": 58.0, "eval_accuracy": 0.8478260869565217, "eval_loss": 0.6258807182312012, "eval_runtime": 0.839, "eval_samples_per_second": 54.83, "eval_steps_per_second": 2.384, "step": 377 }, { "epoch": 58.46, "learning_rate": 1.206140350877193e-05, "loss": 0.038, "step": 380 }, { "epoch": 58.92, "eval_accuracy": 0.8478260869565217, "eval_loss": 0.6748208403587341, "eval_runtime": 0.8591, "eval_samples_per_second": 53.545, "eval_steps_per_second": 2.328, "step": 383 }, { "epoch": 60.0, "learning_rate": 1.0855263157894737e-05, "loss": 0.039, "step": 390 }, { "epoch": 60.0, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.7235903739929199, "eval_runtime": 0.817, "eval_samples_per_second": 56.301, "eval_steps_per_second": 2.448, "step": 390 }, { "epoch": 60.92, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.775827169418335, "eval_runtime": 0.7981, "eval_samples_per_second": 57.64, "eval_steps_per_second": 2.506, "step": 396 }, { "epoch": 61.54, "learning_rate": 9.649122807017545e-06, "loss": 0.0304, "step": 400 }, { "epoch": 62.0, "eval_accuracy": 0.7608695652173914, "eval_loss": 0.7253482937812805, "eval_runtime": 0.8039, "eval_samples_per_second": 57.22, "eval_steps_per_second": 2.488, "step": 403 }, { "epoch": 62.92, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.7512924075126648, "eval_runtime": 0.7986, "eval_samples_per_second": 57.602, "eval_steps_per_second": 2.504, "step": 409 }, { "epoch": 63.08, "learning_rate": 8.442982456140352e-06, "loss": 0.051, "step": 410 }, { "epoch": 64.0, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.7546844482421875, "eval_runtime": 0.8159, "eval_samples_per_second": 56.378, "eval_steps_per_second": 2.451, "step": 416 }, { "epoch": 64.62, "learning_rate": 7.2368421052631575e-06, "loss": 0.0355, "step": 420 }, { "epoch": 64.92, "eval_accuracy": 0.782608695652174, "eval_loss": 0.8115072846412659, "eval_runtime": 0.9032, "eval_samples_per_second": 50.928, "eval_steps_per_second": 2.214, "step": 422 }, { "epoch": 66.0, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.7768033742904663, "eval_runtime": 0.8047, "eval_samples_per_second": 57.165, "eval_steps_per_second": 2.485, "step": 429 }, { "epoch": 66.15, "learning_rate": 6.030701754385965e-06, "loss": 0.0435, "step": 430 }, { "epoch": 66.92, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.7829141020774841, "eval_runtime": 0.847, "eval_samples_per_second": 54.308, "eval_steps_per_second": 2.361, "step": 435 }, { "epoch": 67.69, "learning_rate": 4.824561403508772e-06, "loss": 0.0313, "step": 440 }, { "epoch": 68.0, "eval_accuracy": 0.8043478260869565, "eval_loss": 0.7786911129951477, "eval_runtime": 0.8096, "eval_samples_per_second": 56.815, "eval_steps_per_second": 2.47, "step": 442 }, { "epoch": 68.92, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.7720622420310974, "eval_runtime": 0.7835, "eval_samples_per_second": 58.708, "eval_steps_per_second": 2.553, "step": 448 }, { "epoch": 69.23, "learning_rate": 3.6184210526315788e-06, "loss": 0.0378, "step": 450 }, { "epoch": 70.0, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.7671762704849243, "eval_runtime": 0.8076, "eval_samples_per_second": 56.962, "eval_steps_per_second": 2.477, "step": 455 }, { "epoch": 70.77, "learning_rate": 2.412280701754386e-06, "loss": 0.0339, "step": 460 }, { "epoch": 70.92, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.763389527797699, "eval_runtime": 0.8002, "eval_samples_per_second": 57.483, "eval_steps_per_second": 2.499, "step": 461 }, { "epoch": 72.0, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.7615298628807068, "eval_runtime": 0.7982, "eval_samples_per_second": 57.632, "eval_steps_per_second": 2.506, "step": 468 }, { "epoch": 72.31, "learning_rate": 1.206140350877193e-06, "loss": 0.0311, "step": 470 }, { "epoch": 72.92, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.7604991793632507, "eval_runtime": 0.8004, "eval_samples_per_second": 57.47, "eval_steps_per_second": 2.499, "step": 474 }, { "epoch": 73.85, "learning_rate": 0.0, "loss": 0.0302, "step": 480 }, { "epoch": 73.85, "eval_accuracy": 0.8260869565217391, "eval_loss": 0.7603499293327332, "eval_runtime": 0.7863, "eval_samples_per_second": 58.503, "eval_steps_per_second": 2.544, "step": 480 }, { "epoch": 73.85, "step": 480, "total_flos": 4.687651970153865e+18, "train_loss": 0.24467987176030875, "train_runtime": 1043.0523, "train_samples_per_second": 62.816, "train_steps_per_second": 0.46 } ], "logging_steps": 10, "max_steps": 480, "num_input_tokens_seen": 0, "num_train_epochs": 80, "save_steps": 500, "total_flos": 4.687651970153865e+18, "train_batch_size": 32, "trial_name": null, "trial_params": null }