| { | |
| "best_metric": 0.882689556509299, | |
| "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-trash_classification/checkpoint-198", | |
| "epoch": 10.0, | |
| "global_step": 220, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.45, | |
| "learning_rate": 2.272727272727273e-05, | |
| "loss": 0.531, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "learning_rate": 4.545454545454546e-05, | |
| "loss": 0.4991, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.7911301859799714, | |
| "eval_loss": 0.5482170581817627, | |
| "eval_runtime": 7.0774, | |
| "eval_samples_per_second": 98.766, | |
| "eval_steps_per_second": 3.109, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 1.36, | |
| "learning_rate": 4.797979797979798e-05, | |
| "loss": 0.4159, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "learning_rate": 4.545454545454546e-05, | |
| "loss": 0.4008, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.7954220314735336, | |
| "eval_loss": 0.5192908644676208, | |
| "eval_runtime": 7.6454, | |
| "eval_samples_per_second": 91.427, | |
| "eval_steps_per_second": 2.878, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 2.27, | |
| "learning_rate": 4.292929292929293e-05, | |
| "loss": 0.3623, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 2.73, | |
| "learning_rate": 4.0404040404040405e-05, | |
| "loss": 0.3659, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8397711015736766, | |
| "eval_loss": 0.44643908739089966, | |
| "eval_runtime": 7.1094, | |
| "eval_samples_per_second": 98.321, | |
| "eval_steps_per_second": 3.095, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 3.18, | |
| "learning_rate": 3.787878787878788e-05, | |
| "loss": 0.3551, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 3.64, | |
| "learning_rate": 3.535353535353535e-05, | |
| "loss": 0.372, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8397711015736766, | |
| "eval_loss": 0.4384276270866394, | |
| "eval_runtime": 7.6735, | |
| "eval_samples_per_second": 91.093, | |
| "eval_steps_per_second": 2.867, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 4.09, | |
| "learning_rate": 3.282828282828283e-05, | |
| "loss": 0.3277, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 4.55, | |
| "learning_rate": 3.0303030303030306e-05, | |
| "loss": 0.3252, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 2.777777777777778e-05, | |
| "loss": 0.3388, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8454935622317596, | |
| "eval_loss": 0.42808040976524353, | |
| "eval_runtime": 7.1513, | |
| "eval_samples_per_second": 97.745, | |
| "eval_steps_per_second": 3.076, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 5.45, | |
| "learning_rate": 2.5252525252525256e-05, | |
| "loss": 0.2767, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 5.91, | |
| "learning_rate": 2.272727272727273e-05, | |
| "loss": 0.2654, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.871244635193133, | |
| "eval_loss": 0.3618273138999939, | |
| "eval_runtime": 7.6567, | |
| "eval_samples_per_second": 91.293, | |
| "eval_steps_per_second": 2.873, | |
| "step": 132 | |
| }, | |
| { | |
| "epoch": 6.36, | |
| "learning_rate": 2.0202020202020203e-05, | |
| "loss": 0.235, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 6.82, | |
| "learning_rate": 1.7676767676767676e-05, | |
| "loss": 0.2326, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.8755364806866953, | |
| "eval_loss": 0.3550046682357788, | |
| "eval_runtime": 7.1895, | |
| "eval_samples_per_second": 97.226, | |
| "eval_steps_per_second": 3.06, | |
| "step": 154 | |
| }, | |
| { | |
| "epoch": 7.27, | |
| "learning_rate": 1.5151515151515153e-05, | |
| "loss": 0.219, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 7.73, | |
| "learning_rate": 1.2626262626262628e-05, | |
| "loss": 0.2354, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.8798283261802575, | |
| "eval_loss": 0.3400857448577881, | |
| "eval_runtime": 7.5656, | |
| "eval_samples_per_second": 92.392, | |
| "eval_steps_per_second": 2.908, | |
| "step": 176 | |
| }, | |
| { | |
| "epoch": 8.18, | |
| "learning_rate": 1.0101010101010101e-05, | |
| "loss": 0.2455, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 8.64, | |
| "learning_rate": 7.5757575757575764e-06, | |
| "loss": 0.1774, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.882689556509299, | |
| "eval_loss": 0.337208092212677, | |
| "eval_runtime": 7.0903, | |
| "eval_samples_per_second": 98.586, | |
| "eval_steps_per_second": 3.103, | |
| "step": 198 | |
| }, | |
| { | |
| "epoch": 9.09, | |
| "learning_rate": 5.050505050505051e-06, | |
| "loss": 0.2007, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 9.55, | |
| "learning_rate": 2.5252525252525253e-06, | |
| "loss": 0.226, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 0.0, | |
| "loss": 0.1849, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.882689556509299, | |
| "eval_loss": 0.33802154660224915, | |
| "eval_runtime": 7.6016, | |
| "eval_samples_per_second": 91.954, | |
| "eval_steps_per_second": 2.894, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "step": 220, | |
| "total_flos": 6.950317097403187e+17, | |
| "train_loss": 0.30874538096514614, | |
| "train_runtime": 658.9789, | |
| "train_samples_per_second": 42.429, | |
| "train_steps_per_second": 0.334 | |
| } | |
| ], | |
| "max_steps": 220, | |
| "num_train_epochs": 10, | |
| "total_flos": 6.950317097403187e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |