| { | |
| "best_metric": 0.05447809770703316, | |
| "best_model_checkpoint": "ai_vs_real_image_detection/checkpoint-8440", | |
| "epoch": 5.0, | |
| "eval_steps": 500, | |
| "global_step": 8440, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.3, | |
| "learning_rate": 9.463647199046485e-06, | |
| "loss": 0.2818, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "learning_rate": 8.867699642431467e-06, | |
| "loss": 0.1106, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "learning_rate": 8.27175208581645e-06, | |
| "loss": 0.0871, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.9599166666666666, | |
| "eval_loss": 0.13126564025878906, | |
| "eval_runtime": 108.7151, | |
| "eval_samples_per_second": 110.38, | |
| "eval_steps_per_second": 3.449, | |
| "step": 1688 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "learning_rate": 7.675804529201431e-06, | |
| "loss": 0.0641, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "learning_rate": 7.079856972586413e-06, | |
| "loss": 0.0554, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 1.78, | |
| "learning_rate": 6.483909415971396e-06, | |
| "loss": 0.0542, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.97675, | |
| "eval_loss": 0.06993511319160461, | |
| "eval_runtime": 110.3278, | |
| "eval_samples_per_second": 108.767, | |
| "eval_steps_per_second": 3.399, | |
| "step": 3376 | |
| }, | |
| { | |
| "epoch": 2.07, | |
| "learning_rate": 5.887961859356377e-06, | |
| "loss": 0.0448, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 2.37, | |
| "learning_rate": 5.2920143027413596e-06, | |
| "loss": 0.0372, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 2.67, | |
| "learning_rate": 4.696066746126342e-06, | |
| "loss": 0.0344, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 2.96, | |
| "learning_rate": 4.100119189511323e-06, | |
| "loss": 0.031, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.9773333333333334, | |
| "eval_loss": 0.06398669630289078, | |
| "eval_runtime": 110.6996, | |
| "eval_samples_per_second": 108.401, | |
| "eval_steps_per_second": 3.388, | |
| "step": 5064 | |
| }, | |
| { | |
| "epoch": 3.26, | |
| "learning_rate": 3.5041716328963056e-06, | |
| "loss": 0.0252, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 3.55, | |
| "learning_rate": 2.9082240762812874e-06, | |
| "loss": 0.0226, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 3.85, | |
| "learning_rate": 2.3122765196662693e-06, | |
| "loss": 0.024, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9770833333333333, | |
| "eval_loss": 0.06279084086418152, | |
| "eval_runtime": 110.8304, | |
| "eval_samples_per_second": 108.274, | |
| "eval_steps_per_second": 3.384, | |
| "step": 6752 | |
| }, | |
| { | |
| "epoch": 4.15, | |
| "learning_rate": 1.7163289630512518e-06, | |
| "loss": 0.019, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 4.44, | |
| "learning_rate": 1.1203814064362336e-06, | |
| "loss": 0.0171, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 4.74, | |
| "learning_rate": 5.244338498212158e-07, | |
| "loss": 0.0158, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9804166666666667, | |
| "eval_loss": 0.05447809770703316, | |
| "eval_runtime": 108.5958, | |
| "eval_samples_per_second": 110.502, | |
| "eval_steps_per_second": 3.453, | |
| "step": 8440 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 8440, | |
| "num_train_epochs": 5, | |
| "save_steps": 500, | |
| "total_flos": 4.184567439187968e+19, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |