| { | |
| "best_metric": 0.2785223722457886, | |
| "best_model_checkpoint": "wild_cats_image_detection/checkpoint-1860", | |
| "epoch": 30.0, | |
| "eval_steps": 500, | |
| "global_step": 1860, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.7076612903225806, | |
| "eval_loss": 2.0900425910949707, | |
| "eval_runtime": 4.3905, | |
| "eval_samples_per_second": 112.972, | |
| "eval_steps_per_second": 14.122, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.9354838709677419, | |
| "eval_loss": 1.6859031915664673, | |
| "eval_runtime": 4.4848, | |
| "eval_samples_per_second": 110.597, | |
| "eval_steps_per_second": 13.825, | |
| "step": 124 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.967741935483871, | |
| "eval_loss": 1.3213326930999756, | |
| "eval_runtime": 4.3759, | |
| "eval_samples_per_second": 113.349, | |
| "eval_steps_per_second": 14.169, | |
| "step": 186 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9637096774193549, | |
| "eval_loss": 1.0679508447647095, | |
| "eval_runtime": 4.3639, | |
| "eval_samples_per_second": 113.659, | |
| "eval_steps_per_second": 14.207, | |
| "step": 248 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9737903225806451, | |
| "eval_loss": 0.8888944983482361, | |
| "eval_runtime": 4.3709, | |
| "eval_samples_per_second": 113.478, | |
| "eval_steps_per_second": 14.185, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.9758064516129032, | |
| "eval_loss": 0.753976047039032, | |
| "eval_runtime": 4.3816, | |
| "eval_samples_per_second": 113.202, | |
| "eval_steps_per_second": 14.15, | |
| "step": 372 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.9758064516129032, | |
| "eval_loss": 0.6596555113792419, | |
| "eval_runtime": 4.4519, | |
| "eval_samples_per_second": 111.413, | |
| "eval_steps_per_second": 13.927, | |
| "step": 434 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.967741935483871, | |
| "eval_loss": 0.5890974998474121, | |
| "eval_runtime": 4.3896, | |
| "eval_samples_per_second": 112.993, | |
| "eval_steps_per_second": 14.124, | |
| "step": 496 | |
| }, | |
| { | |
| "epoch": 8.06, | |
| "learning_rate": 7.513812154696133e-06, | |
| "loss": 1.1437, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.9657258064516129, | |
| "eval_loss": 0.5398248434066772, | |
| "eval_runtime": 4.4625, | |
| "eval_samples_per_second": 111.147, | |
| "eval_steps_per_second": 13.893, | |
| "step": 558 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.969758064516129, | |
| "eval_loss": 0.48776522278785706, | |
| "eval_runtime": 4.3566, | |
| "eval_samples_per_second": 113.851, | |
| "eval_steps_per_second": 14.231, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.9778225806451613, | |
| "eval_loss": 0.4477526545524597, | |
| "eval_runtime": 4.3971, | |
| "eval_samples_per_second": 112.802, | |
| "eval_steps_per_second": 14.1, | |
| "step": 682 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.9717741935483871, | |
| "eval_loss": 0.421452134847641, | |
| "eval_runtime": 4.3354, | |
| "eval_samples_per_second": 114.406, | |
| "eval_steps_per_second": 14.301, | |
| "step": 744 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.9717741935483871, | |
| "eval_loss": 0.3989526033401489, | |
| "eval_runtime": 4.4002, | |
| "eval_samples_per_second": 112.723, | |
| "eval_steps_per_second": 14.09, | |
| "step": 806 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.967741935483871, | |
| "eval_loss": 0.3813742995262146, | |
| "eval_runtime": 4.3475, | |
| "eval_samples_per_second": 114.088, | |
| "eval_steps_per_second": 14.261, | |
| "step": 868 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 0.967741935483871, | |
| "eval_loss": 0.36974093317985535, | |
| "eval_runtime": 4.4027, | |
| "eval_samples_per_second": 112.659, | |
| "eval_steps_per_second": 14.082, | |
| "step": 930 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.969758064516129, | |
| "eval_loss": 0.3524600565433502, | |
| "eval_runtime": 4.462, | |
| "eval_samples_per_second": 111.16, | |
| "eval_steps_per_second": 13.895, | |
| "step": 992 | |
| }, | |
| { | |
| "epoch": 16.13, | |
| "learning_rate": 4.751381215469614e-06, | |
| "loss": 0.3243, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_accuracy": 0.969758064516129, | |
| "eval_loss": 0.3423265218734741, | |
| "eval_runtime": 4.424, | |
| "eval_samples_per_second": 112.117, | |
| "eval_steps_per_second": 14.015, | |
| "step": 1054 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_accuracy": 0.969758064516129, | |
| "eval_loss": 0.3300015926361084, | |
| "eval_runtime": 4.4178, | |
| "eval_samples_per_second": 112.272, | |
| "eval_steps_per_second": 14.034, | |
| "step": 1116 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_accuracy": 0.967741935483871, | |
| "eval_loss": 0.3230130076408386, | |
| "eval_runtime": 4.3371, | |
| "eval_samples_per_second": 114.361, | |
| "eval_steps_per_second": 14.295, | |
| "step": 1178 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 0.9737903225806451, | |
| "eval_loss": 0.309731662273407, | |
| "eval_runtime": 4.3678, | |
| "eval_samples_per_second": 113.558, | |
| "eval_steps_per_second": 14.195, | |
| "step": 1240 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "eval_accuracy": 0.967741935483871, | |
| "eval_loss": 0.3085411489009857, | |
| "eval_runtime": 4.3535, | |
| "eval_samples_per_second": 113.932, | |
| "eval_steps_per_second": 14.242, | |
| "step": 1302 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "eval_accuracy": 0.967741935483871, | |
| "eval_loss": 0.3113148510456085, | |
| "eval_runtime": 4.343, | |
| "eval_samples_per_second": 114.208, | |
| "eval_steps_per_second": 14.276, | |
| "step": 1364 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "eval_accuracy": 0.969758064516129, | |
| "eval_loss": 0.2968937158584595, | |
| "eval_runtime": 4.3579, | |
| "eval_samples_per_second": 113.815, | |
| "eval_steps_per_second": 14.227, | |
| "step": 1426 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "eval_accuracy": 0.9717741935483871, | |
| "eval_loss": 0.29355570673942566, | |
| "eval_runtime": 4.4766, | |
| "eval_samples_per_second": 110.799, | |
| "eval_steps_per_second": 13.85, | |
| "step": 1488 | |
| }, | |
| { | |
| "epoch": 24.19, | |
| "learning_rate": 1.988950276243094e-06, | |
| "loss": 0.2043, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_accuracy": 0.967741935483871, | |
| "eval_loss": 0.285148561000824, | |
| "eval_runtime": 4.5096, | |
| "eval_samples_per_second": 109.987, | |
| "eval_steps_per_second": 13.748, | |
| "step": 1550 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "eval_accuracy": 0.967741935483871, | |
| "eval_loss": 0.2845807373523712, | |
| "eval_runtime": 4.3572, | |
| "eval_samples_per_second": 113.836, | |
| "eval_steps_per_second": 14.229, | |
| "step": 1612 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "eval_accuracy": 0.9717741935483871, | |
| "eval_loss": 0.2869494557380676, | |
| "eval_runtime": 4.3648, | |
| "eval_samples_per_second": 113.637, | |
| "eval_steps_per_second": 14.205, | |
| "step": 1674 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "eval_accuracy": 0.9657258064516129, | |
| "eval_loss": 0.2816571891307831, | |
| "eval_runtime": 4.3854, | |
| "eval_samples_per_second": 113.101, | |
| "eval_steps_per_second": 14.138, | |
| "step": 1736 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "eval_accuracy": 0.9657258064516129, | |
| "eval_loss": 0.2789705991744995, | |
| "eval_runtime": 4.4354, | |
| "eval_samples_per_second": 111.827, | |
| "eval_steps_per_second": 13.978, | |
| "step": 1798 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_accuracy": 0.9657258064516129, | |
| "eval_loss": 0.2785223722457886, | |
| "eval_runtime": 4.4242, | |
| "eval_samples_per_second": 112.112, | |
| "eval_steps_per_second": 14.014, | |
| "step": 1860 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 1860, | |
| "num_train_epochs": 30, | |
| "save_steps": 500, | |
| "total_flos": 4.612653932213699e+18, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |