| { | |
| "best_metric": 0.984313725490196, | |
| "best_model_checkpoint": "swin-tiny-patch4-window7-224-uploads-classifier-v2/checkpoint-54", | |
| "epoch": 20.0, | |
| "global_step": 360, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.56, | |
| "learning_rate": 2.5e-05, | |
| "loss": 1.2482, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.8823529411764706, | |
| "eval_loss": 0.47807738184928894, | |
| "eval_runtime": 128.4565, | |
| "eval_samples_per_second": 1.985, | |
| "eval_steps_per_second": 0.062, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "learning_rate": 3.888888888888889e-05, | |
| "loss": 0.6777, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "learning_rate": 4.969135802469136e-05, | |
| "loss": 0.3036, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.9803921568627451, | |
| "eval_loss": 0.093613401055336, | |
| "eval_runtime": 5.0974, | |
| "eval_samples_per_second": 50.026, | |
| "eval_steps_per_second": 1.569, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 2.22, | |
| "learning_rate": 4.814814814814815e-05, | |
| "loss": 0.2274, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 2.78, | |
| "learning_rate": 4.6604938271604945e-05, | |
| "loss": 0.1687, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.984313725490196, | |
| "eval_loss": 0.07451473921537399, | |
| "eval_runtime": 5.1553, | |
| "eval_samples_per_second": 49.463, | |
| "eval_steps_per_second": 1.552, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 3.33, | |
| "learning_rate": 4.506172839506173e-05, | |
| "loss": 0.173, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 3.89, | |
| "learning_rate": 4.351851851851852e-05, | |
| "loss": 0.1392, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9725490196078431, | |
| "eval_loss": 0.09800481051206589, | |
| "eval_runtime": 5.0352, | |
| "eval_samples_per_second": 50.643, | |
| "eval_steps_per_second": 1.589, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 4.44, | |
| "learning_rate": 4.197530864197531e-05, | |
| "loss": 0.1266, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 4.04320987654321e-05, | |
| "loss": 0.14, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9764705882352941, | |
| "eval_loss": 0.07778824865818024, | |
| "eval_runtime": 5.263, | |
| "eval_samples_per_second": 48.451, | |
| "eval_steps_per_second": 1.52, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 5.56, | |
| "learning_rate": 3.888888888888889e-05, | |
| "loss": 0.1186, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.9725490196078431, | |
| "eval_loss": 0.08367796242237091, | |
| "eval_runtime": 5.0122, | |
| "eval_samples_per_second": 50.876, | |
| "eval_steps_per_second": 1.596, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 6.11, | |
| "learning_rate": 3.734567901234568e-05, | |
| "loss": 0.0878, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 6.67, | |
| "learning_rate": 3.580246913580247e-05, | |
| "loss": 0.1088, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.9803921568627451, | |
| "eval_loss": 0.06448379158973694, | |
| "eval_runtime": 5.145, | |
| "eval_samples_per_second": 49.562, | |
| "eval_steps_per_second": 1.555, | |
| "step": 126 | |
| }, | |
| { | |
| "epoch": 7.22, | |
| "learning_rate": 3.425925925925926e-05, | |
| "loss": 0.087, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 7.78, | |
| "learning_rate": 3.271604938271605e-05, | |
| "loss": 0.0789, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.9764705882352941, | |
| "eval_loss": 0.0674787312746048, | |
| "eval_runtime": 5.0792, | |
| "eval_samples_per_second": 50.204, | |
| "eval_steps_per_second": 1.575, | |
| "step": 144 | |
| }, | |
| { | |
| "epoch": 8.33, | |
| "learning_rate": 3.117283950617284e-05, | |
| "loss": 0.0685, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 8.89, | |
| "learning_rate": 2.962962962962963e-05, | |
| "loss": 0.0644, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.9686274509803922, | |
| "eval_loss": 0.09402623027563095, | |
| "eval_runtime": 5.1415, | |
| "eval_samples_per_second": 49.597, | |
| "eval_steps_per_second": 1.556, | |
| "step": 162 | |
| }, | |
| { | |
| "epoch": 9.44, | |
| "learning_rate": 2.8086419753086424e-05, | |
| "loss": 0.0731, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 2.654320987654321e-05, | |
| "loss": 0.0582, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.9725490196078431, | |
| "eval_loss": 0.08792443573474884, | |
| "eval_runtime": 5.0234, | |
| "eval_samples_per_second": 50.762, | |
| "eval_steps_per_second": 1.593, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 10.56, | |
| "learning_rate": 2.5e-05, | |
| "loss": 0.0591, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.9686274509803922, | |
| "eval_loss": 0.09348892420530319, | |
| "eval_runtime": 4.9609, | |
| "eval_samples_per_second": 51.402, | |
| "eval_steps_per_second": 1.613, | |
| "step": 198 | |
| }, | |
| { | |
| "epoch": 11.11, | |
| "learning_rate": 2.345679012345679e-05, | |
| "loss": 0.0432, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 11.67, | |
| "learning_rate": 2.1913580246913582e-05, | |
| "loss": 0.0538, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.9803921568627451, | |
| "eval_loss": 0.054012518376111984, | |
| "eval_runtime": 4.9341, | |
| "eval_samples_per_second": 51.681, | |
| "eval_steps_per_second": 1.621, | |
| "step": 216 | |
| }, | |
| { | |
| "epoch": 12.22, | |
| "learning_rate": 2.037037037037037e-05, | |
| "loss": 0.0471, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 12.78, | |
| "learning_rate": 1.8827160493827163e-05, | |
| "loss": 0.0588, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.9686274509803922, | |
| "eval_loss": 0.0725012868642807, | |
| "eval_runtime": 5.0522, | |
| "eval_samples_per_second": 50.473, | |
| "eval_steps_per_second": 1.583, | |
| "step": 234 | |
| }, | |
| { | |
| "epoch": 13.33, | |
| "learning_rate": 1.728395061728395e-05, | |
| "loss": 0.0508, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 13.89, | |
| "learning_rate": 1.574074074074074e-05, | |
| "loss": 0.0538, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.9764705882352941, | |
| "eval_loss": 0.0636754184961319, | |
| "eval_runtime": 5.0696, | |
| "eval_samples_per_second": 50.3, | |
| "eval_steps_per_second": 1.578, | |
| "step": 252 | |
| }, | |
| { | |
| "epoch": 14.44, | |
| "learning_rate": 1.419753086419753e-05, | |
| "loss": 0.056, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "learning_rate": 1.2654320987654323e-05, | |
| "loss": 0.0462, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 0.9725490196078431, | |
| "eval_loss": 0.06937408447265625, | |
| "eval_runtime": 5.0454, | |
| "eval_samples_per_second": 50.541, | |
| "eval_steps_per_second": 1.586, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 15.56, | |
| "learning_rate": 1.1111111111111112e-05, | |
| "loss": 0.0352, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.9686274509803922, | |
| "eval_loss": 0.07712557911872864, | |
| "eval_runtime": 5.0258, | |
| "eval_samples_per_second": 50.738, | |
| "eval_steps_per_second": 1.592, | |
| "step": 288 | |
| }, | |
| { | |
| "epoch": 16.11, | |
| "learning_rate": 9.5679012345679e-06, | |
| "loss": 0.0469, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 16.67, | |
| "learning_rate": 8.02469135802469e-06, | |
| "loss": 0.0536, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_accuracy": 0.9803921568627451, | |
| "eval_loss": 0.06293778121471405, | |
| "eval_runtime": 4.9305, | |
| "eval_samples_per_second": 51.719, | |
| "eval_steps_per_second": 1.623, | |
| "step": 306 | |
| }, | |
| { | |
| "epoch": 17.22, | |
| "learning_rate": 6.481481481481481e-06, | |
| "loss": 0.0317, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 17.78, | |
| "learning_rate": 4.938271604938272e-06, | |
| "loss": 0.0403, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_accuracy": 0.9686274509803922, | |
| "eval_loss": 0.09334510564804077, | |
| "eval_runtime": 5.0623, | |
| "eval_samples_per_second": 50.373, | |
| "eval_steps_per_second": 1.58, | |
| "step": 324 | |
| }, | |
| { | |
| "epoch": 18.33, | |
| "learning_rate": 3.3950617283950617e-06, | |
| "loss": 0.036, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 18.89, | |
| "learning_rate": 1.8518518518518519e-06, | |
| "loss": 0.0412, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_accuracy": 0.9725490196078431, | |
| "eval_loss": 0.08482151478528976, | |
| "eval_runtime": 4.9192, | |
| "eval_samples_per_second": 51.838, | |
| "eval_steps_per_second": 1.626, | |
| "step": 342 | |
| }, | |
| { | |
| "epoch": 19.44, | |
| "learning_rate": 3.08641975308642e-07, | |
| "loss": 0.029, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "learning_rate": 0.0, | |
| "loss": 0.0305, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 0.9725490196078431, | |
| "eval_loss": 0.08195191621780396, | |
| "eval_runtime": 5.0318, | |
| "eval_samples_per_second": 50.677, | |
| "eval_steps_per_second": 1.59, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "step": 360, | |
| "total_flos": 1.1677328181960376e+18, | |
| "train_loss": 0.13230072516534064, | |
| "train_runtime": 1894.9319, | |
| "train_samples_per_second": 24.149, | |
| "train_steps_per_second": 0.19 | |
| } | |
| ], | |
| "max_steps": 360, | |
| "num_train_epochs": 20, | |
| "total_flos": 1.1677328181960376e+18, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |