{ "best_metric": 0.9846153846153847, "best_model_checkpoint": "delivery_truck_classification/checkpoint-104", "epoch": 59.8421052631579, "global_step": 240, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.84, "eval_accuracy": 0.3230769230769231, "eval_loss": 1.819914698600769, "eval_runtime": 4.4893, "eval_samples_per_second": 14.479, "eval_steps_per_second": 0.668, "step": 4 }, { "epoch": 1.84, "eval_accuracy": 0.4153846153846154, "eval_loss": 1.7274595499038696, "eval_runtime": 5.1038, "eval_samples_per_second": 12.736, "eval_steps_per_second": 0.588, "step": 8 }, { "epoch": 2.84, "eval_accuracy": 0.46153846153846156, "eval_loss": 1.628129005432129, "eval_runtime": 4.4017, "eval_samples_per_second": 14.767, "eval_steps_per_second": 0.682, "step": 12 }, { "epoch": 3.84, "eval_accuracy": 0.46153846153846156, "eval_loss": 1.5271515846252441, "eval_runtime": 4.7528, "eval_samples_per_second": 13.676, "eval_steps_per_second": 0.631, "step": 16 }, { "epoch": 4.84, "learning_rate": 4.166666666666667e-05, "loss": 1.9537, "step": 20 }, { "epoch": 4.84, "eval_accuracy": 0.5076923076923077, "eval_loss": 1.3667770624160767, "eval_runtime": 4.3866, "eval_samples_per_second": 14.818, "eval_steps_per_second": 0.684, "step": 20 }, { "epoch": 5.84, "eval_accuracy": 0.6, "eval_loss": 1.0963521003723145, "eval_runtime": 4.7064, "eval_samples_per_second": 13.811, "eval_steps_per_second": 0.637, "step": 24 }, { "epoch": 6.84, "eval_accuracy": 0.7846153846153846, "eval_loss": 0.7691364884376526, "eval_runtime": 4.2153, "eval_samples_per_second": 15.42, "eval_steps_per_second": 0.712, "step": 28 }, { "epoch": 7.84, "eval_accuracy": 0.8307692307692308, "eval_loss": 0.6369762420654297, "eval_runtime": 4.7258, "eval_samples_per_second": 13.754, "eval_steps_per_second": 0.635, "step": 32 }, { "epoch": 8.84, "eval_accuracy": 0.9076923076923077, "eval_loss": 0.4328678548336029, "eval_runtime": 4.7157, "eval_samples_per_second": 13.784, "eval_steps_per_second": 0.636, "step": 36 }, { "epoch": 9.84, "learning_rate": 4.62962962962963e-05, "loss": 1.0682, "step": 40 }, { "epoch": 9.84, "eval_accuracy": 0.9076923076923077, "eval_loss": 0.3517535626888275, "eval_runtime": 4.7127, "eval_samples_per_second": 13.792, "eval_steps_per_second": 0.637, "step": 40 }, { "epoch": 10.84, "eval_accuracy": 0.8923076923076924, "eval_loss": 0.3229323625564575, "eval_runtime": 4.2434, "eval_samples_per_second": 15.318, "eval_steps_per_second": 0.707, "step": 44 }, { "epoch": 11.84, "eval_accuracy": 0.9384615384615385, "eval_loss": 0.2324085831642151, "eval_runtime": 4.734, "eval_samples_per_second": 13.731, "eval_steps_per_second": 0.634, "step": 48 }, { "epoch": 12.84, "eval_accuracy": 0.9384615384615385, "eval_loss": 0.23686641454696655, "eval_runtime": 4.3354, "eval_samples_per_second": 14.993, "eval_steps_per_second": 0.692, "step": 52 }, { "epoch": 13.84, "eval_accuracy": 0.9384615384615385, "eval_loss": 0.21190524101257324, "eval_runtime": 4.793, "eval_samples_per_second": 13.561, "eval_steps_per_second": 0.626, "step": 56 }, { "epoch": 14.84, "learning_rate": 4.166666666666667e-05, "loss": 0.6335, "step": 60 }, { "epoch": 14.84, "eval_accuracy": 0.9384615384615385, "eval_loss": 0.18046662211418152, "eval_runtime": 4.2602, "eval_samples_per_second": 15.257, "eval_steps_per_second": 0.704, "step": 60 }, { "epoch": 15.84, "eval_accuracy": 0.9076923076923077, "eval_loss": 0.21350829303264618, "eval_runtime": 4.7427, "eval_samples_per_second": 13.705, "eval_steps_per_second": 0.633, "step": 64 }, { "epoch": 16.84, "eval_accuracy": 0.9230769230769231, "eval_loss": 0.1889328807592392, "eval_runtime": 4.2616, "eval_samples_per_second": 15.253, "eval_steps_per_second": 0.704, "step": 68 }, { "epoch": 17.84, "eval_accuracy": 0.9538461538461539, "eval_loss": 0.16009008884429932, "eval_runtime": 4.7629, "eval_samples_per_second": 13.647, "eval_steps_per_second": 0.63, "step": 72 }, { "epoch": 18.84, "eval_accuracy": 0.9692307692307692, "eval_loss": 0.14124387502670288, "eval_runtime": 4.3251, "eval_samples_per_second": 15.029, "eval_steps_per_second": 0.694, "step": 76 }, { "epoch": 19.84, "learning_rate": 3.7037037037037037e-05, "loss": 0.5133, "step": 80 }, { "epoch": 19.84, "eval_accuracy": 0.9538461538461539, "eval_loss": 0.14968368411064148, "eval_runtime": 4.7085, "eval_samples_per_second": 13.805, "eval_steps_per_second": 0.637, "step": 80 }, { "epoch": 20.84, "eval_accuracy": 0.9538461538461539, "eval_loss": 0.15449711680412292, "eval_runtime": 4.2803, "eval_samples_per_second": 15.186, "eval_steps_per_second": 0.701, "step": 84 }, { "epoch": 21.84, "eval_accuracy": 0.9538461538461539, "eval_loss": 0.12975920736789703, "eval_runtime": 6.2107, "eval_samples_per_second": 10.466, "eval_steps_per_second": 0.483, "step": 88 }, { "epoch": 22.84, "eval_accuracy": 0.9538461538461539, "eval_loss": 0.14153267443180084, "eval_runtime": 4.2538, "eval_samples_per_second": 15.28, "eval_steps_per_second": 0.705, "step": 92 }, { "epoch": 23.84, "eval_accuracy": 0.9230769230769231, "eval_loss": 0.16845214366912842, "eval_runtime": 4.6805, "eval_samples_per_second": 13.888, "eval_steps_per_second": 0.641, "step": 96 }, { "epoch": 24.84, "learning_rate": 3.240740740740741e-05, "loss": 0.4383, "step": 100 }, { "epoch": 24.84, "eval_accuracy": 0.9384615384615385, "eval_loss": 0.13808518648147583, "eval_runtime": 4.2829, "eval_samples_per_second": 15.177, "eval_steps_per_second": 0.7, "step": 100 }, { "epoch": 25.84, "eval_accuracy": 0.9846153846153847, "eval_loss": 0.1295621246099472, "eval_runtime": 4.717, "eval_samples_per_second": 13.78, "eval_steps_per_second": 0.636, "step": 104 }, { "epoch": 26.84, "eval_accuracy": 0.9538461538461539, "eval_loss": 0.1106828972697258, "eval_runtime": 4.4246, "eval_samples_per_second": 14.691, "eval_steps_per_second": 0.678, "step": 108 }, { "epoch": 27.84, "eval_accuracy": 0.9384615384615385, "eval_loss": 0.12369797378778458, "eval_runtime": 4.7653, "eval_samples_per_second": 13.64, "eval_steps_per_second": 0.63, "step": 112 }, { "epoch": 28.84, "eval_accuracy": 0.9538461538461539, "eval_loss": 0.1366400122642517, "eval_runtime": 4.3203, "eval_samples_per_second": 15.045, "eval_steps_per_second": 0.694, "step": 116 }, { "epoch": 29.84, "learning_rate": 2.777777777777778e-05, "loss": 0.4149, "step": 120 }, { "epoch": 29.84, "eval_accuracy": 0.9692307692307692, "eval_loss": 0.13494354486465454, "eval_runtime": 4.6686, "eval_samples_per_second": 13.923, "eval_steps_per_second": 0.643, "step": 120 }, { "epoch": 30.84, "eval_accuracy": 0.9846153846153847, "eval_loss": 0.10458508133888245, "eval_runtime": 4.2843, "eval_samples_per_second": 15.172, "eval_steps_per_second": 0.7, "step": 124 }, { "epoch": 31.84, "eval_accuracy": 0.9846153846153847, "eval_loss": 0.0881725624203682, "eval_runtime": 4.7053, "eval_samples_per_second": 13.814, "eval_steps_per_second": 0.638, "step": 128 }, { "epoch": 32.84, "eval_accuracy": 0.9846153846153847, "eval_loss": 0.10219049453735352, "eval_runtime": 4.3211, "eval_samples_per_second": 15.042, "eval_steps_per_second": 0.694, "step": 132 }, { "epoch": 33.84, "eval_accuracy": 0.9692307692307692, "eval_loss": 0.12066025286912918, "eval_runtime": 4.8023, "eval_samples_per_second": 13.535, "eval_steps_per_second": 0.625, "step": 136 }, { "epoch": 34.84, "learning_rate": 2.314814814814815e-05, "loss": 0.3657, "step": 140 }, { "epoch": 34.84, "eval_accuracy": 0.9538461538461539, "eval_loss": 0.11678420007228851, "eval_runtime": 4.4027, "eval_samples_per_second": 14.764, "eval_steps_per_second": 0.681, "step": 140 }, { "epoch": 35.84, "eval_accuracy": 0.9846153846153847, "eval_loss": 0.09219826757907867, "eval_runtime": 6.9593, "eval_samples_per_second": 9.34, "eval_steps_per_second": 0.431, "step": 144 }, { "epoch": 36.84, "eval_accuracy": 0.9846153846153847, "eval_loss": 0.09314019978046417, "eval_runtime": 4.3, "eval_samples_per_second": 15.116, "eval_steps_per_second": 0.698, "step": 148 }, { "epoch": 37.84, "eval_accuracy": 0.9692307692307692, "eval_loss": 0.10055378824472427, "eval_runtime": 4.7227, "eval_samples_per_second": 13.763, "eval_steps_per_second": 0.635, "step": 152 }, { "epoch": 38.84, "eval_accuracy": 0.9692307692307692, "eval_loss": 0.09866410493850708, "eval_runtime": 4.3725, "eval_samples_per_second": 14.866, "eval_steps_per_second": 0.686, "step": 156 }, { "epoch": 39.84, "learning_rate": 1.8518518518518518e-05, "loss": 0.3294, "step": 160 }, { "epoch": 39.84, "eval_accuracy": 0.9692307692307692, "eval_loss": 0.11275947839021683, "eval_runtime": 4.6903, "eval_samples_per_second": 13.858, "eval_steps_per_second": 0.64, "step": 160 }, { "epoch": 40.84, "eval_accuracy": 0.9538461538461539, "eval_loss": 0.11520560085773468, "eval_runtime": 4.3303, "eval_samples_per_second": 15.01, "eval_steps_per_second": 0.693, "step": 164 }, { "epoch": 41.84, "eval_accuracy": 0.9538461538461539, "eval_loss": 0.09974207729101181, "eval_runtime": 4.7259, "eval_samples_per_second": 13.754, "eval_steps_per_second": 0.635, "step": 168 }, { "epoch": 42.84, "eval_accuracy": 0.9692307692307692, "eval_loss": 0.09684933722019196, "eval_runtime": 4.3525, "eval_samples_per_second": 14.934, "eval_steps_per_second": 0.689, "step": 172 }, { "epoch": 43.84, "eval_accuracy": 0.9846153846153847, "eval_loss": 0.08187751471996307, "eval_runtime": 4.6538, "eval_samples_per_second": 13.967, "eval_steps_per_second": 0.645, "step": 176 }, { "epoch": 44.84, "learning_rate": 1.388888888888889e-05, "loss": 0.3198, "step": 180 }, { "epoch": 44.84, "eval_accuracy": 0.9846153846153847, "eval_loss": 0.07292691618204117, "eval_runtime": 4.3483, "eval_samples_per_second": 14.948, "eval_steps_per_second": 0.69, "step": 180 }, { "epoch": 45.84, "eval_accuracy": 0.9846153846153847, "eval_loss": 0.07438476383686066, "eval_runtime": 4.8323, "eval_samples_per_second": 13.451, "eval_steps_per_second": 0.621, "step": 184 }, { "epoch": 46.84, "eval_accuracy": 0.9692307692307692, "eval_loss": 0.09510225057601929, "eval_runtime": 4.3498, "eval_samples_per_second": 14.943, "eval_steps_per_second": 0.69, "step": 188 }, { "epoch": 47.84, "eval_accuracy": 0.9692307692307692, "eval_loss": 0.09657642990350723, "eval_runtime": 4.7293, "eval_samples_per_second": 13.744, "eval_steps_per_second": 0.634, "step": 192 }, { "epoch": 48.84, "eval_accuracy": 0.9846153846153847, "eval_loss": 0.08329986035823822, "eval_runtime": 4.2989, "eval_samples_per_second": 15.12, "eval_steps_per_second": 0.698, "step": 196 }, { "epoch": 49.84, "learning_rate": 9.259259259259259e-06, "loss": 0.2936, "step": 200 }, { "epoch": 49.84, "eval_accuracy": 0.9846153846153847, "eval_loss": 0.06941184401512146, "eval_runtime": 4.7066, "eval_samples_per_second": 13.811, "eval_steps_per_second": 0.637, "step": 200 }, { "epoch": 50.84, "eval_accuracy": 0.9846153846153847, "eval_loss": 0.06908843666315079, "eval_runtime": 4.3338, "eval_samples_per_second": 14.999, "eval_steps_per_second": 0.692, "step": 204 }, { "epoch": 51.84, "eval_accuracy": 0.9846153846153847, "eval_loss": 0.0735919326543808, "eval_runtime": 4.7155, "eval_samples_per_second": 13.784, "eval_steps_per_second": 0.636, "step": 208 }, { "epoch": 52.84, "eval_accuracy": 0.9692307692307692, "eval_loss": 0.08048100024461746, "eval_runtime": 4.337, "eval_samples_per_second": 14.987, "eval_steps_per_second": 0.692, "step": 212 }, { "epoch": 53.84, "eval_accuracy": 0.9846153846153847, "eval_loss": 0.08007017523050308, "eval_runtime": 4.765, "eval_samples_per_second": 13.641, "eval_steps_per_second": 0.63, "step": 216 }, { "epoch": 54.84, "learning_rate": 4.6296296296296296e-06, "loss": 0.3127, "step": 220 }, { "epoch": 54.84, "eval_accuracy": 0.9846153846153847, "eval_loss": 0.0826273187994957, "eval_runtime": 4.2934, "eval_samples_per_second": 15.139, "eval_steps_per_second": 0.699, "step": 220 }, { "epoch": 55.84, "eval_accuracy": 0.9692307692307692, "eval_loss": 0.08565446734428406, "eval_runtime": 4.7099, "eval_samples_per_second": 13.801, "eval_steps_per_second": 0.637, "step": 224 }, { "epoch": 56.84, "eval_accuracy": 0.9846153846153847, "eval_loss": 0.0864274650812149, "eval_runtime": 4.246, "eval_samples_per_second": 15.309, "eval_steps_per_second": 0.707, "step": 228 }, { "epoch": 57.84, "eval_accuracy": 0.9846153846153847, "eval_loss": 0.08776658028364182, "eval_runtime": 4.758, "eval_samples_per_second": 13.661, "eval_steps_per_second": 0.631, "step": 232 }, { "epoch": 58.84, "eval_accuracy": 0.9846153846153847, "eval_loss": 0.08772400766611099, "eval_runtime": 4.2874, "eval_samples_per_second": 15.161, "eval_steps_per_second": 0.7, "step": 236 }, { "epoch": 59.84, "learning_rate": 0.0, "loss": 0.285, "step": 240 }, { "epoch": 59.84, "eval_accuracy": 0.9846153846153847, "eval_loss": 0.08735792338848114, "eval_runtime": 4.7501, "eval_samples_per_second": 13.684, "eval_steps_per_second": 0.632, "step": 240 }, { "epoch": 59.84, "step": 240, "total_flos": 8.648855308501955e+17, "train_loss": 0.577343902985255, "train_runtime": 4213.9216, "train_samples_per_second": 8.273, "train_steps_per_second": 0.057 } ], "max_steps": 240, "num_train_epochs": 60, "total_flos": 8.648855308501955e+17, "trial_name": null, "trial_params": null }