| { | |
| "best_metric": 0.09803921568627451, | |
| "best_model_checkpoint": "swinv2-tiny-patch4-window8-256-ve-Ub\\checkpoint-1", | |
| "epoch": 22.857142857142858, | |
| "eval_steps": 500, | |
| "global_step": 40, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.57, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 8.020079612731934, | |
| "eval_runtime": 0.9165, | |
| "eval_samples_per_second": 55.645, | |
| "eval_steps_per_second": 2.182, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 1.71, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 8.004411697387695, | |
| "eval_runtime": 0.7005, | |
| "eval_samples_per_second": 72.805, | |
| "eval_steps_per_second": 2.855, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 2.86, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 7.930569648742676, | |
| "eval_runtime": 0.7161, | |
| "eval_samples_per_second": 71.215, | |
| "eval_steps_per_second": 2.793, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 7.77127742767334, | |
| "eval_runtime": 0.7123, | |
| "eval_samples_per_second": 71.602, | |
| "eval_steps_per_second": 2.808, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 4.57, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 7.651132583618164, | |
| "eval_runtime": 0.6843, | |
| "eval_samples_per_second": 74.53, | |
| "eval_steps_per_second": 2.923, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 5.71, | |
| "learning_rate": 4.166666666666667e-05, | |
| "loss": 7.7785, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 5.71, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 7.365252494812012, | |
| "eval_runtime": 0.7228, | |
| "eval_samples_per_second": 70.557, | |
| "eval_steps_per_second": 2.767, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 6.86, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 7.024637699127197, | |
| "eval_runtime": 0.7167, | |
| "eval_samples_per_second": 71.16, | |
| "eval_steps_per_second": 2.791, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 6.641313076019287, | |
| "eval_runtime": 0.7094, | |
| "eval_samples_per_second": 71.894, | |
| "eval_steps_per_second": 2.819, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 8.57, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 6.466968059539795, | |
| "eval_runtime": 0.6864, | |
| "eval_samples_per_second": 74.298, | |
| "eval_steps_per_second": 2.914, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 9.71, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 6.132067680358887, | |
| "eval_runtime": 0.6833, | |
| "eval_samples_per_second": 74.642, | |
| "eval_steps_per_second": 2.927, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 10.86, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 5.835997104644775, | |
| "eval_runtime": 0.7199, | |
| "eval_samples_per_second": 70.846, | |
| "eval_steps_per_second": 2.778, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 11.43, | |
| "learning_rate": 2.777777777777778e-05, | |
| "loss": 6.5357, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 5.574275970458984, | |
| "eval_runtime": 0.6885, | |
| "eval_samples_per_second": 74.079, | |
| "eval_steps_per_second": 2.905, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 12.57, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 5.455224514007568, | |
| "eval_runtime": 0.667, | |
| "eval_samples_per_second": 76.457, | |
| "eval_steps_per_second": 2.998, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 13.71, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 5.236710548400879, | |
| "eval_runtime": 0.6751, | |
| "eval_samples_per_second": 75.541, | |
| "eval_steps_per_second": 2.962, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 14.86, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 5.04180383682251, | |
| "eval_runtime": 0.6855, | |
| "eval_samples_per_second": 74.395, | |
| "eval_steps_per_second": 2.917, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 4.870639324188232, | |
| "eval_runtime": 0.6928, | |
| "eval_samples_per_second": 73.616, | |
| "eval_steps_per_second": 2.887, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 16.57, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 4.793884754180908, | |
| "eval_runtime": 0.7006, | |
| "eval_samples_per_second": 72.795, | |
| "eval_steps_per_second": 2.855, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 17.14, | |
| "learning_rate": 1.388888888888889e-05, | |
| "loss": 5.2494, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 17.71, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 4.659574031829834, | |
| "eval_runtime": 0.6877, | |
| "eval_samples_per_second": 74.158, | |
| "eval_steps_per_second": 2.908, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 18.86, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 4.550791263580322, | |
| "eval_runtime": 0.6971, | |
| "eval_samples_per_second": 73.163, | |
| "eval_steps_per_second": 2.869, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 4.467587471008301, | |
| "eval_runtime": 0.7059, | |
| "eval_samples_per_second": 72.247, | |
| "eval_steps_per_second": 2.833, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 20.57, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 4.435560703277588, | |
| "eval_runtime": 0.6994, | |
| "eval_samples_per_second": 72.923, | |
| "eval_steps_per_second": 2.86, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 21.71, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 4.3906331062316895, | |
| "eval_runtime": 0.6833, | |
| "eval_samples_per_second": 74.635, | |
| "eval_steps_per_second": 2.927, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 22.86, | |
| "learning_rate": 0.0, | |
| "loss": 4.5614, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 22.86, | |
| "eval_accuracy": 0.09803921568627451, | |
| "eval_loss": 4.371392250061035, | |
| "eval_runtime": 0.685, | |
| "eval_samples_per_second": 74.456, | |
| "eval_steps_per_second": 2.92, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 22.86, | |
| "step": 40, | |
| "total_flos": 1.5155335319519232e+17, | |
| "train_loss": 6.031261348724366, | |
| "train_runtime": 124.0067, | |
| "train_samples_per_second": 65.48, | |
| "train_steps_per_second": 0.323 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 40, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 40, | |
| "save_steps": 500, | |
| "total_flos": 1.5155335319519232e+17, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |