| { | |
| "best_metric": 0.9076983503534957, | |
| "best_model_checkpoint": "swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-final_09/checkpoint-231", | |
| "epoch": 19.74025974025974, | |
| "global_step": 380, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.52, | |
| "learning_rate": 2.631578947368421e-06, | |
| "loss": 1.4243, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "eval_accuracy": 0.4124116260801257, | |
| "eval_f1_score": 0.3570354420437638, | |
| "eval_loss": 1.2818444967269897, | |
| "eval_precision": 0.49102085534919276, | |
| "eval_runtime": 155.1351, | |
| "eval_samples_per_second": 16.412, | |
| "eval_sensitivity": 0.40190009326712317, | |
| "eval_specificity": 0.8402743700367392, | |
| "eval_steps_per_second": 0.168, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "learning_rate": 5.263157894736842e-06, | |
| "loss": 1.3172, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "learning_rate": 7.894736842105265e-06, | |
| "loss": 1.1046, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "eval_accuracy": 0.6657501963864886, | |
| "eval_f1_score": 0.6584447645455589, | |
| "eval_loss": 0.8873111605644226, | |
| "eval_precision": 0.7234734897623135, | |
| "eval_runtime": 154.4349, | |
| "eval_samples_per_second": 16.486, | |
| "eval_sensitivity": 0.6607729185406499, | |
| "eval_specificity": 0.9116520907117401, | |
| "eval_steps_per_second": 0.168, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 2.08, | |
| "learning_rate": 9.941520467836257e-06, | |
| "loss": 0.8039, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 2.6, | |
| "learning_rate": 9.649122807017545e-06, | |
| "loss": 0.5232, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 2.96, | |
| "eval_accuracy": 0.7670856245090337, | |
| "eval_f1_score": 0.7654299150147459, | |
| "eval_loss": 0.5753296613693237, | |
| "eval_precision": 0.8063317990936565, | |
| "eval_runtime": 149.786, | |
| "eval_samples_per_second": 16.998, | |
| "eval_sensitivity": 0.7631016926046826, | |
| "eval_specificity": 0.939519832581341, | |
| "eval_steps_per_second": 0.174, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 3.12, | |
| "learning_rate": 9.35672514619883e-06, | |
| "loss": 0.4024, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 3.64, | |
| "learning_rate": 9.064327485380117e-06, | |
| "loss": 0.3235, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8256087981146897, | |
| "eval_f1_score": 0.8272037341017412, | |
| "eval_loss": 0.4476053714752197, | |
| "eval_precision": 0.8496309867737988, | |
| "eval_runtime": 148.025, | |
| "eval_samples_per_second": 17.2, | |
| "eval_sensitivity": 0.8228407743542725, | |
| "eval_specificity": 0.9549271529166663, | |
| "eval_steps_per_second": 0.176, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 4.16, | |
| "learning_rate": 8.771929824561405e-06, | |
| "loss": 0.2902, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 4.68, | |
| "learning_rate": 8.47953216374269e-06, | |
| "loss": 0.2586, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 4.99, | |
| "eval_accuracy": 0.8589945011783189, | |
| "eval_f1_score": 0.8607808845396272, | |
| "eval_loss": 0.388581246137619, | |
| "eval_precision": 0.8764394740919514, | |
| "eval_runtime": 151.9044, | |
| "eval_samples_per_second": 16.761, | |
| "eval_sensitivity": 0.8567362734580628, | |
| "eval_specificity": 0.963786905634904, | |
| "eval_steps_per_second": 0.171, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 5.19, | |
| "learning_rate": 8.187134502923977e-06, | |
| "loss": 0.2177, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 5.71, | |
| "learning_rate": 7.894736842105265e-06, | |
| "loss": 0.1986, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 5.97, | |
| "eval_accuracy": 0.8641005498821681, | |
| "eval_f1_score": 0.866301038890307, | |
| "eval_loss": 0.3538317382335663, | |
| "eval_precision": 0.8816381088413454, | |
| "eval_runtime": 150.5083, | |
| "eval_samples_per_second": 16.916, | |
| "eval_sensitivity": 0.8623787282629114, | |
| "eval_specificity": 0.9651698996707305, | |
| "eval_steps_per_second": 0.173, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 6.23, | |
| "learning_rate": 7.60233918128655e-06, | |
| "loss": 0.1842, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 6.75, | |
| "learning_rate": 7.309941520467837e-06, | |
| "loss": 0.166, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 6.96, | |
| "eval_accuracy": 0.8648860958366065, | |
| "eval_f1_score": 0.866825627759701, | |
| "eval_loss": 0.3543463945388794, | |
| "eval_precision": 0.884880621606718, | |
| "eval_runtime": 148.1783, | |
| "eval_samples_per_second": 17.182, | |
| "eval_sensitivity": 0.8636517908756205, | |
| "eval_specificity": 0.9654980481174277, | |
| "eval_steps_per_second": 0.175, | |
| "step": 134 | |
| }, | |
| { | |
| "epoch": 7.27, | |
| "learning_rate": 7.017543859649123e-06, | |
| "loss": 0.1522, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 7.79, | |
| "learning_rate": 6.72514619883041e-06, | |
| "loss": 0.1345, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.8586017282010998, | |
| "eval_f1_score": 0.8610355490306234, | |
| "eval_loss": 0.3729460835456848, | |
| "eval_precision": 0.8837274049763126, | |
| "eval_runtime": 148.525, | |
| "eval_samples_per_second": 17.142, | |
| "eval_sensitivity": 0.8570611575159114, | |
| "eval_specificity": 0.9639971497498784, | |
| "eval_steps_per_second": 0.175, | |
| "step": 154 | |
| }, | |
| { | |
| "epoch": 8.31, | |
| "learning_rate": 6.432748538011696e-06, | |
| "loss": 0.1392, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 8.83, | |
| "learning_rate": 6.140350877192983e-06, | |
| "loss": 0.1197, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 8.99, | |
| "eval_accuracy": 0.8974862529457973, | |
| "eval_f1_score": 0.8986651160172466, | |
| "eval_loss": 0.2879232168197632, | |
| "eval_precision": 0.9098410226182916, | |
| "eval_runtime": 151.7698, | |
| "eval_samples_per_second": 16.775, | |
| "eval_sensitivity": 0.8960667823723667, | |
| "eval_specificity": 0.9739595957022107, | |
| "eval_steps_per_second": 0.171, | |
| "step": 173 | |
| }, | |
| { | |
| "epoch": 9.35, | |
| "learning_rate": 5.847953216374269e-06, | |
| "loss": 0.1191, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 9.87, | |
| "learning_rate": 5.555555555555557e-06, | |
| "loss": 0.1033, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 9.97, | |
| "eval_accuracy": 0.8998428908091123, | |
| "eval_f1_score": 0.9013387120046374, | |
| "eval_loss": 0.2809693217277527, | |
| "eval_precision": 0.9128018904283736, | |
| "eval_runtime": 150.0251, | |
| "eval_samples_per_second": 16.97, | |
| "eval_sensitivity": 0.8983403692519598, | |
| "eval_specificity": 0.9745916249389023, | |
| "eval_steps_per_second": 0.173, | |
| "step": 192 | |
| }, | |
| { | |
| "epoch": 10.39, | |
| "learning_rate": 5.263157894736842e-06, | |
| "loss": 0.0968, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 10.91, | |
| "learning_rate": 4.970760233918129e-06, | |
| "loss": 0.0957, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 10.96, | |
| "eval_accuracy": 0.8802042419481539, | |
| "eval_f1_score": 0.8818332555076988, | |
| "eval_loss": 0.32389283180236816, | |
| "eval_precision": 0.8988229655279458, | |
| "eval_runtime": 149.7055, | |
| "eval_samples_per_second": 17.007, | |
| "eval_sensitivity": 0.8795483483145464, | |
| "eval_specificity": 0.9695877303192519, | |
| "eval_steps_per_second": 0.174, | |
| "step": 211 | |
| }, | |
| { | |
| "epoch": 11.43, | |
| "learning_rate": 4.678362573099415e-06, | |
| "loss": 0.0943, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 11.95, | |
| "learning_rate": 4.385964912280702e-06, | |
| "loss": 0.085, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.9076983503534957, | |
| "eval_f1_score": 0.9092568799886447, | |
| "eval_loss": 0.25855910778045654, | |
| "eval_precision": 0.9184297970931635, | |
| "eval_runtime": 148.6708, | |
| "eval_samples_per_second": 17.125, | |
| "eval_sensitivity": 0.9071315468404832, | |
| "eval_specificity": 0.9765850087404824, | |
| "eval_steps_per_second": 0.175, | |
| "step": 231 | |
| }, | |
| { | |
| "epoch": 12.47, | |
| "learning_rate": 4.093567251461989e-06, | |
| "loss": 0.0803, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 12.99, | |
| "learning_rate": 3.801169590643275e-06, | |
| "loss": 0.0769, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 12.99, | |
| "eval_accuracy": 0.9018067556952082, | |
| "eval_f1_score": 0.9035560483990503, | |
| "eval_loss": 0.2662457525730133, | |
| "eval_precision": 0.9148826606022603, | |
| "eval_runtime": 148.906, | |
| "eval_samples_per_second": 17.098, | |
| "eval_sensitivity": 0.9011389208516956, | |
| "eval_specificity": 0.9751077020657173, | |
| "eval_steps_per_second": 0.175, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 13.51, | |
| "learning_rate": 3.5087719298245615e-06, | |
| "loss": 0.0758, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 13.97, | |
| "eval_accuracy": 0.8951296150824823, | |
| "eval_f1_score": 0.8970302146284463, | |
| "eval_loss": 0.28304174542427063, | |
| "eval_precision": 0.9102010845064002, | |
| "eval_runtime": 150.6344, | |
| "eval_samples_per_second": 16.902, | |
| "eval_sensitivity": 0.8945146144376745, | |
| "eval_specificity": 0.9734075498381344, | |
| "eval_steps_per_second": 0.173, | |
| "step": 269 | |
| }, | |
| { | |
| "epoch": 14.03, | |
| "learning_rate": 3.216374269005848e-06, | |
| "loss": 0.0686, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 14.55, | |
| "learning_rate": 2.9239766081871347e-06, | |
| "loss": 0.068, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 14.96, | |
| "eval_accuracy": 0.896700706991359, | |
| "eval_f1_score": 0.8985675111661452, | |
| "eval_loss": 0.275691956281662, | |
| "eval_precision": 0.9112715756203089, | |
| "eval_runtime": 150.7864, | |
| "eval_samples_per_second": 16.885, | |
| "eval_sensitivity": 0.8960200777949071, | |
| "eval_specificity": 0.9738051721610081, | |
| "eval_steps_per_second": 0.172, | |
| "step": 288 | |
| }, | |
| { | |
| "epoch": 15.06, | |
| "learning_rate": 2.631578947368421e-06, | |
| "loss": 0.0662, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 15.58, | |
| "learning_rate": 2.3391812865497075e-06, | |
| "loss": 0.0641, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.899057344854674, | |
| "eval_f1_score": 0.9007899141083138, | |
| "eval_loss": 0.274333655834198, | |
| "eval_precision": 0.9135533100325574, | |
| "eval_runtime": 148.3245, | |
| "eval_samples_per_second": 17.165, | |
| "eval_sensitivity": 0.8984156696658092, | |
| "eval_specificity": 0.9744403525399954, | |
| "eval_steps_per_second": 0.175, | |
| "step": 308 | |
| }, | |
| { | |
| "epoch": 16.1, | |
| "learning_rate": 2.0467836257309943e-06, | |
| "loss": 0.0574, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 16.62, | |
| "learning_rate": 1.7543859649122807e-06, | |
| "loss": 0.0623, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 16.99, | |
| "eval_accuracy": 0.8986645718774549, | |
| "eval_f1_score": 0.9001455327215127, | |
| "eval_loss": 0.2713204026222229, | |
| "eval_precision": 0.9126572095328765, | |
| "eval_runtime": 151.9721, | |
| "eval_samples_per_second": 16.753, | |
| "eval_sensitivity": 0.8981708274568941, | |
| "eval_specificity": 0.9743345585732455, | |
| "eval_steps_per_second": 0.171, | |
| "step": 327 | |
| }, | |
| { | |
| "epoch": 17.14, | |
| "learning_rate": 1.4619883040935674e-06, | |
| "loss": 0.0602, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 17.66, | |
| "learning_rate": 1.1695906432748538e-06, | |
| "loss": 0.0542, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 17.97, | |
| "eval_accuracy": 0.8986645718774549, | |
| "eval_f1_score": 0.9004639220672048, | |
| "eval_loss": 0.2649886906147003, | |
| "eval_precision": 0.91279384932618, | |
| "eval_runtime": 150.7987, | |
| "eval_samples_per_second": 16.883, | |
| "eval_sensitivity": 0.8980391215162725, | |
| "eval_specificity": 0.9743187669997398, | |
| "eval_steps_per_second": 0.172, | |
| "step": 346 | |
| }, | |
| { | |
| "epoch": 18.18, | |
| "learning_rate": 8.771929824561404e-07, | |
| "loss": 0.0568, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 18.7, | |
| "learning_rate": 5.847953216374269e-07, | |
| "loss": 0.0573, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 18.96, | |
| "eval_accuracy": 0.8963079340141398, | |
| "eval_f1_score": 0.8980539018292237, | |
| "eval_loss": 0.2708922326564789, | |
| "eval_precision": 0.9112041169434638, | |
| "eval_runtime": 148.2702, | |
| "eval_samples_per_second": 17.171, | |
| "eval_sensitivity": 0.895695482583891, | |
| "eval_specificity": 0.9737277205852116, | |
| "eval_steps_per_second": 0.175, | |
| "step": 365 | |
| }, | |
| { | |
| "epoch": 19.22, | |
| "learning_rate": 2.9239766081871344e-07, | |
| "loss": 0.0479, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 19.74, | |
| "learning_rate": 0.0, | |
| "loss": 0.058, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 19.74, | |
| "eval_accuracy": 0.8947368421052632, | |
| "eval_f1_score": 0.8964893126610397, | |
| "eval_loss": 0.2778041660785675, | |
| "eval_precision": 0.9100882912589862, | |
| "eval_runtime": 147.6157, | |
| "eval_samples_per_second": 17.247, | |
| "eval_sensitivity": 0.8941900192266583, | |
| "eval_specificity": 0.9733266096253178, | |
| "eval_steps_per_second": 0.176, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 19.74, | |
| "step": 380, | |
| "total_flos": 1.1815024036284113e+19, | |
| "train_loss": 0.24495287263079693, | |
| "train_runtime": 37323.3561, | |
| "train_samples_per_second": 4.092, | |
| "train_steps_per_second": 0.01 | |
| } | |
| ], | |
| "max_steps": 380, | |
| "num_train_epochs": 20, | |
| "total_flos": 1.1815024036284113e+19, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |