| { | |
| "best_metric": 0.910958904109589, | |
| "best_model_checkpoint": "beit-base-patch16-224-pt22k-ft22k-rim_one-new/checkpoint-30", | |
| "epoch": 19.727272727272727, | |
| "global_step": 40, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.73, | |
| "eval_accuracy": 0.4794520547945205, | |
| "eval_loss": 0.6921706199645996, | |
| "eval_runtime": 25.0333, | |
| "eval_samples_per_second": 5.832, | |
| "eval_steps_per_second": 0.2, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 1.73, | |
| "eval_accuracy": 0.6506849315068494, | |
| "eval_loss": 0.7311218976974487, | |
| "eval_runtime": 4.1824, | |
| "eval_samples_per_second": 34.909, | |
| "eval_steps_per_second": 1.195, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 2.73, | |
| "eval_accuracy": 0.4178082191780822, | |
| "eval_loss": 0.9364489316940308, | |
| "eval_runtime": 4.1884, | |
| "eval_samples_per_second": 34.858, | |
| "eval_steps_per_second": 1.194, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 3.73, | |
| "eval_accuracy": 0.7945205479452054, | |
| "eval_loss": 0.4742239713668823, | |
| "eval_runtime": 4.2915, | |
| "eval_samples_per_second": 34.021, | |
| "eval_steps_per_second": 1.165, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 4.73, | |
| "learning_rate": 8.333333333333334e-05, | |
| "loss": 0.8198, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 4.73, | |
| "eval_accuracy": 0.8561643835616438, | |
| "eval_loss": 0.36144283413887024, | |
| "eval_runtime": 4.4462, | |
| "eval_samples_per_second": 32.837, | |
| "eval_steps_per_second": 1.125, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 5.73, | |
| "eval_accuracy": 0.8561643835616438, | |
| "eval_loss": 0.3010813593864441, | |
| "eval_runtime": 4.3245, | |
| "eval_samples_per_second": 33.761, | |
| "eval_steps_per_second": 1.156, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 6.73, | |
| "eval_accuracy": 0.8561643835616438, | |
| "eval_loss": 0.2709261178970337, | |
| "eval_runtime": 4.3245, | |
| "eval_samples_per_second": 33.761, | |
| "eval_steps_per_second": 1.156, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 7.73, | |
| "eval_accuracy": 0.6027397260273972, | |
| "eval_loss": 0.7967002987861633, | |
| "eval_runtime": 4.3664, | |
| "eval_samples_per_second": 33.437, | |
| "eval_steps_per_second": 1.145, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 8.73, | |
| "eval_accuracy": 0.8287671232876712, | |
| "eval_loss": 0.39434078335762024, | |
| "eval_runtime": 4.348, | |
| "eval_samples_per_second": 33.578, | |
| "eval_steps_per_second": 1.15, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 9.73, | |
| "learning_rate": 5.555555555555556e-05, | |
| "loss": 0.5673, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 9.73, | |
| "eval_accuracy": 0.8835616438356164, | |
| "eval_loss": 0.2661159336566925, | |
| "eval_runtime": 4.3636, | |
| "eval_samples_per_second": 33.458, | |
| "eval_steps_per_second": 1.146, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 10.73, | |
| "eval_accuracy": 0.7671232876712328, | |
| "eval_loss": 0.4626728296279907, | |
| "eval_runtime": 4.4331, | |
| "eval_samples_per_second": 32.934, | |
| "eval_steps_per_second": 1.128, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 11.73, | |
| "eval_accuracy": 0.8835616438356164, | |
| "eval_loss": 0.24509218335151672, | |
| "eval_runtime": 4.4007, | |
| "eval_samples_per_second": 33.177, | |
| "eval_steps_per_second": 1.136, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 12.73, | |
| "eval_accuracy": 0.9041095890410958, | |
| "eval_loss": 0.23970794677734375, | |
| "eval_runtime": 4.1384, | |
| "eval_samples_per_second": 35.279, | |
| "eval_steps_per_second": 1.208, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 13.73, | |
| "eval_accuracy": 0.8904109589041096, | |
| "eval_loss": 0.24433596432209015, | |
| "eval_runtime": 4.1349, | |
| "eval_samples_per_second": 35.309, | |
| "eval_steps_per_second": 1.209, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 14.73, | |
| "learning_rate": 2.777777777777778e-05, | |
| "loss": 0.2571, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 14.73, | |
| "eval_accuracy": 0.910958904109589, | |
| "eval_loss": 0.24097245931625366, | |
| "eval_runtime": 4.2188, | |
| "eval_samples_per_second": 34.607, | |
| "eval_steps_per_second": 1.185, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 15.73, | |
| "eval_accuracy": 0.8904109589041096, | |
| "eval_loss": 0.2714996933937073, | |
| "eval_runtime": 4.1836, | |
| "eval_samples_per_second": 34.898, | |
| "eval_steps_per_second": 1.195, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 16.73, | |
| "eval_accuracy": 0.9041095890410958, | |
| "eval_loss": 0.2597528100013733, | |
| "eval_runtime": 4.1231, | |
| "eval_samples_per_second": 35.41, | |
| "eval_steps_per_second": 1.213, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 17.73, | |
| "eval_accuracy": 0.8972602739726028, | |
| "eval_loss": 0.25846657156944275, | |
| "eval_runtime": 4.1153, | |
| "eval_samples_per_second": 35.477, | |
| "eval_steps_per_second": 1.215, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 18.73, | |
| "eval_accuracy": 0.910958904109589, | |
| "eval_loss": 0.2306668758392334, | |
| "eval_runtime": 4.1812, | |
| "eval_samples_per_second": 34.919, | |
| "eval_steps_per_second": 1.196, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 19.73, | |
| "learning_rate": 0.0, | |
| "loss": 0.1015, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 19.73, | |
| "eval_accuracy": 0.8972602739726028, | |
| "eval_loss": 0.2697519063949585, | |
| "eval_runtime": 4.1223, | |
| "eval_samples_per_second": 35.417, | |
| "eval_steps_per_second": 1.213, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 19.73, | |
| "step": 40, | |
| "total_flos": 5.187420432666501e+17, | |
| "train_loss": 0.4364403486251831, | |
| "train_runtime": 567.1784, | |
| "train_samples_per_second": 11.954, | |
| "train_steps_per_second": 0.071 | |
| } | |
| ], | |
| "max_steps": 40, | |
| "num_train_epochs": 20, | |
| "total_flos": 5.187420432666501e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |