|
{ |
|
"best_metric": 0.9799685781618225, |
|
"best_model_checkpoint": "swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-final_11/checkpoint-134", |
|
"epoch": 9.87012987012987, |
|
"global_step": 190, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.52, |
|
"learning_rate": 5.2631578947368424e-05, |
|
"loss": 1.2367, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.99, |
|
"eval_accuracy": 0.8648860958366065, |
|
"eval_f1_score": 0.8629101056918216, |
|
"eval_loss": 0.35601529479026794, |
|
"eval_precision": 0.8649012039898544, |
|
"eval_runtime": 141.8367, |
|
"eval_samples_per_second": 17.95, |
|
"eval_sensitivity": 0.8629212850751643, |
|
"eval_specificity": 0.9647885911185192, |
|
"eval_steps_per_second": 0.183, |
|
"step": 19 |
|
}, |
|
{ |
|
"epoch": 1.04, |
|
"learning_rate": 9.941520467836257e-05, |
|
"loss": 0.551, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 1.56, |
|
"learning_rate": 9.35672514619883e-05, |
|
"loss": 0.2911, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 1.97, |
|
"eval_accuracy": 0.9296936370777691, |
|
"eval_f1_score": 0.9289731644434347, |
|
"eval_loss": 0.20870551466941833, |
|
"eval_precision": 0.9335105762764986, |
|
"eval_runtime": 142.1997, |
|
"eval_samples_per_second": 17.904, |
|
"eval_sensitivity": 0.9277077502089683, |
|
"eval_specificity": 0.9821821858941076, |
|
"eval_steps_per_second": 0.183, |
|
"step": 38 |
|
}, |
|
{ |
|
"epoch": 2.08, |
|
"learning_rate": 8.771929824561403e-05, |
|
"loss": 0.2185, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 2.6, |
|
"learning_rate": 8.187134502923976e-05, |
|
"loss": 0.1681, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 2.96, |
|
"eval_accuracy": 0.9564021995286724, |
|
"eval_f1_score": 0.9557514024509197, |
|
"eval_loss": 0.13926906883716583, |
|
"eval_precision": 0.9557781221855981, |
|
"eval_runtime": 143.2364, |
|
"eval_samples_per_second": 17.775, |
|
"eval_sensitivity": 0.9561759465584563, |
|
"eval_specificity": 0.98897388236281, |
|
"eval_steps_per_second": 0.182, |
|
"step": 57 |
|
}, |
|
{ |
|
"epoch": 3.12, |
|
"learning_rate": 7.602339181286549e-05, |
|
"loss": 0.1165, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 3.64, |
|
"learning_rate": 7.017543859649122e-05, |
|
"loss": 0.0923, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.9642576590730558, |
|
"eval_f1_score": 0.9639088702338641, |
|
"eval_loss": 0.11055397987365723, |
|
"eval_precision": 0.9637231665579402, |
|
"eval_runtime": 143.252, |
|
"eval_samples_per_second": 17.773, |
|
"eval_sensitivity": 0.9646712281479681, |
|
"eval_specificity": 0.9909880590481308, |
|
"eval_steps_per_second": 0.181, |
|
"step": 77 |
|
}, |
|
{ |
|
"epoch": 4.16, |
|
"learning_rate": 6.432748538011695e-05, |
|
"loss": 0.0542, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 4.68, |
|
"learning_rate": 5.847953216374269e-05, |
|
"loss": 0.0602, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 4.99, |
|
"eval_accuracy": 0.950510604870385, |
|
"eval_f1_score": 0.9493780293983679, |
|
"eval_loss": 0.1510021686553955, |
|
"eval_precision": 0.9511714907126886, |
|
"eval_runtime": 148.5403, |
|
"eval_samples_per_second": 17.14, |
|
"eval_sensitivity": 0.9504186601773192, |
|
"eval_specificity": 0.9875279599551886, |
|
"eval_steps_per_second": 0.175, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 5.19, |
|
"learning_rate": 5.2631578947368424e-05, |
|
"loss": 0.0668, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 5.71, |
|
"learning_rate": 4.678362573099415e-05, |
|
"loss": 0.0388, |
|
"step": 110 |
|
}, |
|
{ |
|
"epoch": 5.97, |
|
"eval_accuracy": 0.9666142969363708, |
|
"eval_f1_score": 0.9666648974137618, |
|
"eval_loss": 0.1145075261592865, |
|
"eval_precision": 0.9670209795949075, |
|
"eval_runtime": 144.463, |
|
"eval_samples_per_second": 17.624, |
|
"eval_sensitivity": 0.9672481450663073, |
|
"eval_specificity": 0.9916021588463255, |
|
"eval_steps_per_second": 0.18, |
|
"step": 115 |
|
}, |
|
{ |
|
"epoch": 6.23, |
|
"learning_rate": 4.093567251461988e-05, |
|
"loss": 0.0304, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 6.75, |
|
"learning_rate": 3.508771929824561e-05, |
|
"loss": 0.0197, |
|
"step": 130 |
|
}, |
|
{ |
|
"epoch": 6.96, |
|
"eval_accuracy": 0.9799685781618225, |
|
"eval_f1_score": 0.9796169238566794, |
|
"eval_loss": 0.07831881195306778, |
|
"eval_precision": 0.9796898193485958, |
|
"eval_runtime": 142.3671, |
|
"eval_samples_per_second": 17.883, |
|
"eval_sensitivity": 0.9796353926896586, |
|
"eval_specificity": 0.9949621175641323, |
|
"eval_steps_per_second": 0.183, |
|
"step": 134 |
|
}, |
|
{ |
|
"epoch": 7.27, |
|
"learning_rate": 2.9239766081871346e-05, |
|
"loss": 0.0222, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 7.79, |
|
"learning_rate": 2.3391812865497074e-05, |
|
"loss": 0.0172, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.9713275726630007, |
|
"eval_f1_score": 0.9712887784402073, |
|
"eval_loss": 0.10316599160432816, |
|
"eval_precision": 0.9714643584340791, |
|
"eval_runtime": 142.3047, |
|
"eval_samples_per_second": 17.891, |
|
"eval_sensitivity": 0.9717717854874542, |
|
"eval_specificity": 0.992796790353424, |
|
"eval_steps_per_second": 0.183, |
|
"step": 154 |
|
}, |
|
{ |
|
"epoch": 8.31, |
|
"learning_rate": 1.7543859649122806e-05, |
|
"loss": 0.013, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 8.83, |
|
"learning_rate": 1.1695906432748537e-05, |
|
"loss": 0.0169, |
|
"step": 170 |
|
}, |
|
{ |
|
"epoch": 8.99, |
|
"eval_accuracy": 0.9776119402985075, |
|
"eval_f1_score": 0.977208698367329, |
|
"eval_loss": 0.08539657294750214, |
|
"eval_precision": 0.9771017028074661, |
|
"eval_runtime": 147.2284, |
|
"eval_samples_per_second": 17.293, |
|
"eval_sensitivity": 0.9774414536608387, |
|
"eval_specificity": 0.9943698997404483, |
|
"eval_steps_per_second": 0.177, |
|
"step": 173 |
|
}, |
|
{ |
|
"epoch": 9.35, |
|
"learning_rate": 5.8479532163742686e-06, |
|
"loss": 0.0128, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 9.87, |
|
"learning_rate": 0.0, |
|
"loss": 0.0104, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 9.87, |
|
"eval_accuracy": 0.9752553024351924, |
|
"eval_f1_score": 0.9749649987709283, |
|
"eval_loss": 0.094758041203022, |
|
"eval_precision": 0.9748580935041002, |
|
"eval_runtime": 144.0279, |
|
"eval_samples_per_second": 17.677, |
|
"eval_sensitivity": 0.9753290664582137, |
|
"eval_specificity": 0.9937797036439378, |
|
"eval_steps_per_second": 0.181, |
|
"step": 190 |
|
}, |
|
{ |
|
"epoch": 9.87, |
|
"step": 190, |
|
"total_flos": 5.909979961466413e+18, |
|
"train_loss": 0.15983055751574668, |
|
"train_runtime": 18885.9487, |
|
"train_samples_per_second": 4.044, |
|
"train_steps_per_second": 0.01 |
|
} |
|
], |
|
"max_steps": 190, |
|
"num_train_epochs": 10, |
|
"total_flos": 5.909979961466413e+18, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|