| { | |
| "best_metric": 0.9983948635634029, | |
| "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-mobile-eye-tracking-dataset-v2/checkpoint-230", | |
| "epoch": 4.972972972972973, | |
| "eval_steps": 500, | |
| "global_step": 230, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.43, | |
| "learning_rate": 4.347826086956522e-05, | |
| "loss": 1.2017, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "learning_rate": 4.589371980676328e-05, | |
| "loss": 0.5175, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "eval_accuracy": 0.9069020866773676, | |
| "eval_loss": 0.2164475917816162, | |
| "eval_runtime": 7.2993, | |
| "eval_samples_per_second": 85.35, | |
| "eval_steps_per_second": 1.37, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "learning_rate": 4.106280193236715e-05, | |
| "loss": 0.2849, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 1.73, | |
| "learning_rate": 3.6231884057971014e-05, | |
| "loss": 0.1932, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.99, | |
| "eval_accuracy": 0.9919743178170144, | |
| "eval_loss": 0.0469740591943264, | |
| "eval_runtime": 7.3311, | |
| "eval_samples_per_second": 84.981, | |
| "eval_steps_per_second": 1.364, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 2.16, | |
| "learning_rate": 3.140096618357488e-05, | |
| "loss": 0.1412, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 2.59, | |
| "learning_rate": 2.6570048309178748e-05, | |
| "loss": 0.1321, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 2.98, | |
| "eval_accuracy": 0.9919743178170144, | |
| "eval_loss": 0.03293607011437416, | |
| "eval_runtime": 7.4116, | |
| "eval_samples_per_second": 84.058, | |
| "eval_steps_per_second": 1.349, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 3.03, | |
| "learning_rate": 2.173913043478261e-05, | |
| "loss": 0.1005, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 3.46, | |
| "learning_rate": 1.6908212560386476e-05, | |
| "loss": 0.0922, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 3.89, | |
| "learning_rate": 1.2077294685990338e-05, | |
| "loss": 0.0924, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9967897271268058, | |
| "eval_loss": 0.01582668349146843, | |
| "eval_runtime": 7.5144, | |
| "eval_samples_per_second": 82.908, | |
| "eval_steps_per_second": 1.331, | |
| "step": 185 | |
| }, | |
| { | |
| "epoch": 4.32, | |
| "learning_rate": 7.246376811594203e-06, | |
| "loss": 0.08, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 4.76, | |
| "learning_rate": 2.4154589371980677e-06, | |
| "loss": 0.0725, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 4.97, | |
| "eval_accuracy": 0.9983948635634029, | |
| "eval_loss": 0.010104374028742313, | |
| "eval_runtime": 7.9377, | |
| "eval_samples_per_second": 78.486, | |
| "eval_steps_per_second": 1.26, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 4.97, | |
| "step": 230, | |
| "total_flos": 1.461912118361211e+18, | |
| "train_loss": 0.25554134793903516, | |
| "train_runtime": 1204.2538, | |
| "train_samples_per_second": 49.088, | |
| "train_steps_per_second": 0.191 | |
| } | |
| ], | |
| "logging_steps": 20, | |
| "max_steps": 230, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 5, | |
| "save_steps": 500, | |
| "total_flos": 1.461912118361211e+18, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |