| { | |
| "best_metric": 0.8709677419354839, | |
| "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-mobile-eye-tracking-dataset-v2/checkpoint-45", | |
| "epoch": 26.666666666666668, | |
| "eval_steps": 500, | |
| "global_step": 60, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.8888888888888888, | |
| "eval_accuracy": 0.22580645161290322, | |
| "eval_loss": 1.775622844696045, | |
| "eval_runtime": 7.2696, | |
| "eval_samples_per_second": 4.264, | |
| "eval_steps_per_second": 0.138, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 1.7777777777777777, | |
| "eval_accuracy": 0.25806451612903225, | |
| "eval_loss": 1.6783900260925293, | |
| "eval_runtime": 5.963, | |
| "eval_samples_per_second": 5.199, | |
| "eval_steps_per_second": 0.168, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 2.6666666666666665, | |
| "eval_accuracy": 0.3225806451612903, | |
| "eval_loss": 1.5861129760742188, | |
| "eval_runtime": 5.4576, | |
| "eval_samples_per_second": 5.68, | |
| "eval_steps_per_second": 0.183, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.41935483870967744, | |
| "eval_loss": 1.3571434020996094, | |
| "eval_runtime": 5.4352, | |
| "eval_samples_per_second": 5.704, | |
| "eval_steps_per_second": 0.184, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 4.888888888888889, | |
| "eval_accuracy": 0.5483870967741935, | |
| "eval_loss": 1.099271535873413, | |
| "eval_runtime": 5.4311, | |
| "eval_samples_per_second": 5.708, | |
| "eval_steps_per_second": 0.184, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 5.777777777777778, | |
| "eval_accuracy": 0.6451612903225806, | |
| "eval_loss": 0.9241538047790527, | |
| "eval_runtime": 5.4175, | |
| "eval_samples_per_second": 5.722, | |
| "eval_steps_per_second": 0.185, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 6.666666666666667, | |
| "grad_norm": 4.35577917098999, | |
| "learning_rate": 4.166666666666667e-05, | |
| "loss": 1.4667, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 6.666666666666667, | |
| "eval_accuracy": 0.7096774193548387, | |
| "eval_loss": 0.7538339495658875, | |
| "eval_runtime": 5.4027, | |
| "eval_samples_per_second": 5.738, | |
| "eval_steps_per_second": 0.185, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.7741935483870968, | |
| "eval_loss": 0.6294359564781189, | |
| "eval_runtime": 5.4179, | |
| "eval_samples_per_second": 5.722, | |
| "eval_steps_per_second": 0.185, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 8.88888888888889, | |
| "eval_accuracy": 0.7096774193548387, | |
| "eval_loss": 0.5325695872306824, | |
| "eval_runtime": 5.4264, | |
| "eval_samples_per_second": 5.713, | |
| "eval_steps_per_second": 0.184, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 9.777777777777779, | |
| "eval_accuracy": 0.7419354838709677, | |
| "eval_loss": 0.48480212688446045, | |
| "eval_runtime": 5.432, | |
| "eval_samples_per_second": 5.707, | |
| "eval_steps_per_second": 0.184, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 10.666666666666666, | |
| "eval_accuracy": 0.7741935483870968, | |
| "eval_loss": 0.4832201302051544, | |
| "eval_runtime": 5.482, | |
| "eval_samples_per_second": 5.655, | |
| "eval_steps_per_second": 0.182, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.7741935483870968, | |
| "eval_loss": 0.44829437136650085, | |
| "eval_runtime": 5.3703, | |
| "eval_samples_per_second": 5.772, | |
| "eval_steps_per_second": 0.186, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 12.88888888888889, | |
| "eval_accuracy": 0.7741935483870968, | |
| "eval_loss": 0.4296128451824188, | |
| "eval_runtime": 5.4565, | |
| "eval_samples_per_second": 5.681, | |
| "eval_steps_per_second": 0.183, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 13.333333333333334, | |
| "grad_norm": 5.256907939910889, | |
| "learning_rate": 2.777777777777778e-05, | |
| "loss": 0.5925, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 13.777777777777779, | |
| "eval_accuracy": 0.7741935483870968, | |
| "eval_loss": 0.40228280425071716, | |
| "eval_runtime": 5.3947, | |
| "eval_samples_per_second": 5.746, | |
| "eval_steps_per_second": 0.185, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 14.666666666666666, | |
| "eval_accuracy": 0.8387096774193549, | |
| "eval_loss": 0.4110867977142334, | |
| "eval_runtime": 5.4946, | |
| "eval_samples_per_second": 5.642, | |
| "eval_steps_per_second": 0.182, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.8064516129032258, | |
| "eval_loss": 0.387315571308136, | |
| "eval_runtime": 5.4222, | |
| "eval_samples_per_second": 5.717, | |
| "eval_steps_per_second": 0.184, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 16.88888888888889, | |
| "eval_accuracy": 0.8064516129032258, | |
| "eval_loss": 0.4028545618057251, | |
| "eval_runtime": 5.4659, | |
| "eval_samples_per_second": 5.672, | |
| "eval_steps_per_second": 0.183, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 17.77777777777778, | |
| "eval_accuracy": 0.8064516129032258, | |
| "eval_loss": 0.4065493047237396, | |
| "eval_runtime": 5.394, | |
| "eval_samples_per_second": 5.747, | |
| "eval_steps_per_second": 0.185, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 18.666666666666668, | |
| "eval_accuracy": 0.8064516129032258, | |
| "eval_loss": 0.38641268014907837, | |
| "eval_runtime": 5.4499, | |
| "eval_samples_per_second": 5.688, | |
| "eval_steps_per_second": 0.183, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "grad_norm": 5.7712812423706055, | |
| "learning_rate": 1.388888888888889e-05, | |
| "loss": 0.3285, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 0.8709677419354839, | |
| "eval_loss": 0.39681780338287354, | |
| "eval_runtime": 5.3981, | |
| "eval_samples_per_second": 5.743, | |
| "eval_steps_per_second": 0.185, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 20.88888888888889, | |
| "eval_accuracy": 0.8709677419354839, | |
| "eval_loss": 0.3929939270019531, | |
| "eval_runtime": 5.3507, | |
| "eval_samples_per_second": 5.794, | |
| "eval_steps_per_second": 0.187, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 21.77777777777778, | |
| "eval_accuracy": 0.8709677419354839, | |
| "eval_loss": 0.3871462643146515, | |
| "eval_runtime": 5.3376, | |
| "eval_samples_per_second": 5.808, | |
| "eval_steps_per_second": 0.187, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 22.666666666666668, | |
| "eval_accuracy": 0.8064516129032258, | |
| "eval_loss": 0.3779211640357971, | |
| "eval_runtime": 5.365, | |
| "eval_samples_per_second": 5.778, | |
| "eval_steps_per_second": 0.186, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "eval_accuracy": 0.8064516129032258, | |
| "eval_loss": 0.36982351541519165, | |
| "eval_runtime": 5.3833, | |
| "eval_samples_per_second": 5.759, | |
| "eval_steps_per_second": 0.186, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 24.88888888888889, | |
| "eval_accuracy": 0.8387096774193549, | |
| "eval_loss": 0.37262630462646484, | |
| "eval_runtime": 5.3782, | |
| "eval_samples_per_second": 5.764, | |
| "eval_steps_per_second": 0.186, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 25.77777777777778, | |
| "eval_accuracy": 0.8387096774193549, | |
| "eval_loss": 0.3732232451438904, | |
| "eval_runtime": 5.4396, | |
| "eval_samples_per_second": 5.699, | |
| "eval_steps_per_second": 0.184, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 26.666666666666668, | |
| "grad_norm": 3.0856940746307373, | |
| "learning_rate": 0.0, | |
| "loss": 0.2621, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 26.666666666666668, | |
| "eval_accuracy": 0.8387096774193549, | |
| "eval_loss": 0.3731651306152344, | |
| "eval_runtime": 6.0663, | |
| "eval_samples_per_second": 5.11, | |
| "eval_steps_per_second": 0.165, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 26.666666666666668, | |
| "step": 60, | |
| "total_flos": 3.811843351809884e+17, | |
| "train_loss": 0.6624618768692017, | |
| "train_runtime": 3041.8152, | |
| "train_samples_per_second": 5.671, | |
| "train_steps_per_second": 0.02 | |
| } | |
| ], | |
| "logging_steps": 15, | |
| "max_steps": 60, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 30, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 3.811843351809884e+17, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |