Instructions to use Aditya2162/ivus-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Aditya2162/ivus-segmentation with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Aditya2162/ivus-segmentation") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_dir": "models/deepIVUS", | |
| "output_dir": "models/multitask", | |
| "split_json": "evals/splits/ivus_split_merged_600.json", | |
| "num_train": 420, | |
| "num_val": 90, | |
| "num_test": 90, | |
| "num_train_with_lumen": 199, | |
| "num_val_with_lumen": 46, | |
| "num_test_with_lumen": 48, | |
| "selected_trainable_variables": [ | |
| "conv2d/kernel:0", | |
| "conv2d/bias:0", | |
| "batch_normalization/gamma:0", | |
| "batch_normalization/beta:0", | |
| "conv2d_1/kernel:0", | |
| "conv2d_1/bias:0", | |
| "batch_normalization_1/gamma:0", | |
| "batch_normalization_1/beta:0", | |
| "conv2d_2/kernel:0", | |
| "conv2d_2/bias:0", | |
| "batch_normalization_2/gamma:0", | |
| "batch_normalization_2/beta:0", | |
| "conv2d_3/kernel:0", | |
| "conv2d_3/bias:0", | |
| "conv2d_4/kernel:0", | |
| "conv2d_4/bias:0", | |
| "batch_normalization_3/gamma:0", | |
| "batch_normalization_3/beta:0", | |
| "conv2d_5/kernel:0", | |
| "conv2d_5/bias:0", | |
| "batch_normalization_4/gamma:0", | |
| "batch_normalization_4/beta:0", | |
| "conv2d_6/kernel:0", | |
| "conv2d_6/bias:0", | |
| "conv2d_7/kernel:0", | |
| "conv2d_7/bias:0", | |
| "batch_normalization_5/gamma:0", | |
| "batch_normalization_5/beta:0", | |
| "conv2d_8/kernel:0", | |
| "conv2d_8/bias:0", | |
| "batch_normalization_6/gamma:0", | |
| "batch_normalization_6/beta:0", | |
| "conv2d_9/kernel:0", | |
| "conv2d_9/bias:0", | |
| "conv2d_10/kernel:0", | |
| "conv2d_10/bias:0", | |
| "batch_normalization_7/gamma:0", | |
| "batch_normalization_7/beta:0", | |
| "conv2d_11/kernel:0", | |
| "conv2d_11/bias:0", | |
| "batch_normalization_8/gamma:0", | |
| "batch_normalization_8/beta:0", | |
| "conv2d_12/kernel:0", | |
| "conv2d_12/bias:0", | |
| "conv2d_13/kernel:0", | |
| "conv2d_13/bias:0", | |
| "batch_normalization_9/gamma:0", | |
| "batch_normalization_9/beta:0", | |
| "conv2d_14/kernel:0", | |
| "conv2d_14/bias:0", | |
| "batch_normalization_10/gamma:0", | |
| "batch_normalization_10/beta:0", | |
| "conv2d_15/kernel:0", | |
| "conv2d_15/bias:0", | |
| "conv2d_16/kernel:0", | |
| "conv2d_16/bias:0", | |
| "batch_normalization_11/gamma:0", | |
| "batch_normalization_11/beta:0", | |
| "conv2d_17/kernel:0", | |
| "conv2d_17/bias:0", | |
| "batch_normalization_12/gamma:0", | |
| "batch_normalization_12/beta:0", | |
| "conv2d_18/kernel:0", | |
| "conv2d_18/bias:0", | |
| "batch_normalization_13/gamma:0", | |
| "batch_normalization_13/beta:0", | |
| "conv2d_19/kernel:0", | |
| "conv2d_19/bias:0", | |
| "batch_normalization_14/gamma:0", | |
| "batch_normalization_14/beta:0", | |
| "conv2d_20/kernel:0", | |
| "conv2d_20/bias:0", | |
| "conv2d_21/kernel:0", | |
| "conv2d_21/bias:0", | |
| "batch_normalization_15/gamma:0", | |
| "batch_normalization_15/beta:0", | |
| "conv2d_22/kernel:0", | |
| "conv2d_22/bias:0", | |
| "batch_normalization_16/gamma:0", | |
| "batch_normalization_16/beta:0", | |
| "conv2d_23/kernel:0", | |
| "conv2d_23/bias:0", | |
| "batch_normalization_17/gamma:0", | |
| "batch_normalization_17/beta:0", | |
| "conv2d_24/kernel:0", | |
| "conv2d_24/bias:0", | |
| "batch_normalization_18/gamma:0", | |
| "batch_normalization_18/beta:0", | |
| "conv2d_25/kernel:0", | |
| "conv2d_25/bias:0", | |
| "conv2d_26/kernel:0", | |
| "conv2d_26/bias:0", | |
| "batch_normalization_19/gamma:0", | |
| "batch_normalization_19/beta:0", | |
| "conv2d_27/kernel:0", | |
| "conv2d_27/bias:0", | |
| "batch_normalization_20/gamma:0", | |
| "batch_normalization_20/beta:0", | |
| "conv2d_28/kernel:0", | |
| "conv2d_28/bias:0", | |
| "batch_normalization_21/gamma:0", | |
| "batch_normalization_21/beta:0", | |
| "conv2d_29/kernel:0", | |
| "conv2d_29/bias:0", | |
| "batch_normalization_22/gamma:0", | |
| "batch_normalization_22/beta:0", | |
| "conv2d_30/kernel:0", | |
| "conv2d_30/bias:0", | |
| "batch_normalization_23/gamma:0", | |
| "batch_normalization_23/beta:0", | |
| "conv2d_31/kernel:0", | |
| "conv2d_31/bias:0", | |
| "batch_normalization_24/gamma:0", | |
| "batch_normalization_24/beta:0", | |
| "conv2d_32/kernel:0", | |
| "conv2d_32/bias:0" | |
| ], | |
| "lumen_class": 1, | |
| "pos_weight": 40.0, | |
| "seg_loss_weight": 1.0, | |
| "cls_loss_weight": 1.0, | |
| "learning_rate": 1e-05, | |
| "epochs": 50, | |
| "early_stop_patience": 10, | |
| "early_stop_min_delta": 0.0001, | |
| "best_val_total_loss": 0.4344508498907089, | |
| "tensorboard_run_dir": "output/tensorboard/multitask_20260223_224823", | |
| "saved_base_model": "models/multitask/lumen_multitask_base", | |
| "saved_cls_head": "models/multitask/bifurcation_head.keras", | |
| "history": [ | |
| { | |
| "epoch": 1, | |
| "total_loss": 1.6219867297581263, | |
| "seg_loss": 0.6216800527203651, | |
| "cls_loss": 1.0003066670326959, | |
| "val_total_loss": 1.166487949049991, | |
| "val_seg_loss": 0.48462160773899243, | |
| "val_cls_loss": 0.6818663387194924, | |
| "val_seg_iou": 0.8267602893737925, | |
| "val_seg_dice": 0.9051656029343657, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.4888888888888889, | |
| "val_cls_precision": 0.8421052631578947, | |
| "val_cls_recall": 0.2711864406779661, | |
| "val_cls_f1": 0.41025641025641024, | |
| "val_cls_auc": 0.7908693552017212 | |
| }, | |
| { | |
| "epoch": 2, | |
| "total_loss": 1.0519415350187393, | |
| "seg_loss": 0.290034962055229, | |
| "cls_loss": 0.7619065758727845, | |
| "val_total_loss": 0.8631932268971982, | |
| "val_seg_loss": 0.23684684527309044, | |
| "val_cls_loss": 0.6263463808142621, | |
| "val_seg_iou": 0.8250022138914308, | |
| "val_seg_dice": 0.9041109184544913, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8222222222222222, | |
| "val_cls_precision": 0.9215686274509803, | |
| "val_cls_recall": 0.7966101694915254, | |
| "val_cls_f1": 0.8545454545454545, | |
| "val_cls_auc": 0.8138327598571777 | |
| }, | |
| { | |
| "epoch": 3, | |
| "total_loss": 0.834745450814565, | |
| "seg_loss": 0.18543397166899273, | |
| "cls_loss": 0.649311478648867, | |
| "val_total_loss": 0.7018603773220725, | |
| "val_seg_loss": 0.16327474152912264, | |
| "val_cls_loss": 0.5385856408139934, | |
| "val_seg_iou": 0.846050787524255, | |
| "val_seg_dice": 0.9166061879141435, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8222222222222222, | |
| "val_cls_precision": 0.9215686274509803, | |
| "val_cls_recall": 0.7966101694915254, | |
| "val_cls_f1": 0.8545454545454545, | |
| "val_cls_auc": 0.8477310538291931 | |
| }, | |
| { | |
| "epoch": 4, | |
| "total_loss": 0.7766569486686161, | |
| "seg_loss": 0.13996965427483832, | |
| "cls_loss": 0.6366872943582988, | |
| "val_total_loss": 0.6386936164420584, | |
| "val_seg_loss": 0.14631453933923141, | |
| "val_cls_loss": 0.49237907321556756, | |
| "val_seg_iou": 0.8537190784842085, | |
| "val_seg_dice": 0.921087869670411, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8222222222222222, | |
| "val_cls_precision": 0.9215686274509803, | |
| "val_cls_recall": 0.7966101694915254, | |
| "val_cls_f1": 0.8545454545454545, | |
| "val_cls_auc": 0.8510115146636963 | |
| }, | |
| { | |
| "epoch": 5, | |
| "total_loss": 0.7333434970605941, | |
| "seg_loss": 0.1164263075306302, | |
| "cls_loss": 0.6169171908072063, | |
| "val_total_loss": 0.5967901336110156, | |
| "val_seg_loss": 0.11332971699859785, | |
| "val_cls_loss": 0.48346041855604754, | |
| "val_seg_iou": 0.8680616997222836, | |
| "val_seg_dice": 0.9293715511124011, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8555555555555555, | |
| "val_cls_precision": 0.9107142857142857, | |
| "val_cls_recall": 0.864406779661017, | |
| "val_cls_f1": 0.8869565217391304, | |
| "val_cls_auc": 0.9013121724128723 | |
| }, | |
| { | |
| "epoch": 6, | |
| "total_loss": 0.6692844209216889, | |
| "seg_loss": 0.08745707979514486, | |
| "cls_loss": 0.581827338110833, | |
| "val_total_loss": 0.5571767538785934, | |
| "val_seg_loss": 0.11077517190057298, | |
| "val_cls_loss": 0.44640157987242157, | |
| "val_seg_iou": 0.8661160593957511, | |
| "val_seg_dice": 0.9282552979863425, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8666666666666667, | |
| "val_cls_precision": 0.9272727272727272, | |
| "val_cls_recall": 0.864406779661017, | |
| "val_cls_f1": 0.8947368421052632, | |
| "val_cls_auc": 0.9122471809387207 | |
| }, | |
| { | |
| "epoch": 7, | |
| "total_loss": 0.6274600121236983, | |
| "seg_loss": 0.07445602903053875, | |
| "cls_loss": 0.5530039798645746, | |
| "val_total_loss": 0.5509960029436194, | |
| "val_seg_loss": 0.1002325456103553, | |
| "val_cls_loss": 0.45076345879098645, | |
| "val_seg_iou": 0.8746350232394943, | |
| "val_seg_dice": 0.9331256616854054, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8666666666666667, | |
| "val_cls_precision": 0.8615384615384616, | |
| "val_cls_recall": 0.9491525423728814, | |
| "val_cls_f1": 0.903225806451613, | |
| "val_cls_auc": 0.891744077205658 | |
| }, | |
| { | |
| "epoch": 8, | |
| "total_loss": 0.6130301696913583, | |
| "seg_loss": 0.08664557699646269, | |
| "cls_loss": 0.526384590779032, | |
| "val_total_loss": 0.5237435011760049, | |
| "val_seg_loss": 0.0972047365554001, | |
| "val_cls_loss": 0.42653876089531445, | |
| "val_seg_iou": 0.874846441854967, | |
| "val_seg_dice": 0.9332459686558615, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8444444444444444, | |
| "val_cls_precision": 0.8571428571428571, | |
| "val_cls_recall": 0.9152542372881356, | |
| "val_cls_f1": 0.8852459016393444, | |
| "val_cls_auc": 0.9122471213340759 | |
| }, | |
| { | |
| "epoch": 9, | |
| "total_loss": 0.5469670985426222, | |
| "seg_loss": 0.06870117130733672, | |
| "cls_loss": 0.478265926809538, | |
| "val_total_loss": 0.49475600311289664, | |
| "val_seg_loss": 0.09005594059177068, | |
| "val_cls_loss": 0.4047000644647557, | |
| "val_seg_iou": 0.8738963815485469, | |
| "val_seg_dice": 0.932705127298851, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8555555555555555, | |
| "val_cls_precision": 0.859375, | |
| "val_cls_recall": 0.9322033898305084, | |
| "val_cls_f1": 0.8943089430894309, | |
| "val_cls_auc": 0.9024056792259216 | |
| }, | |
| { | |
| "epoch": 10, | |
| "total_loss": 0.5185818938981919, | |
| "seg_loss": 0.0611622542142868, | |
| "cls_loss": 0.4574196387969312, | |
| "val_total_loss": 0.47969698776369507, | |
| "val_seg_loss": 0.09069109529904697, | |
| "val_cls_loss": 0.3890058948941853, | |
| "val_seg_iou": 0.8817167983190007, | |
| "val_seg_dice": 0.9371408057861493, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8555555555555555, | |
| "val_cls_precision": 0.8709677419354839, | |
| "val_cls_recall": 0.9152542372881356, | |
| "val_cls_f1": 0.8925619834710744, | |
| "val_cls_auc": 0.9108802676200867 | |
| }, | |
| { | |
| "epoch": 11, | |
| "total_loss": 0.5268871486186981, | |
| "seg_loss": 0.06076143806179365, | |
| "cls_loss": 0.4661257118696258, | |
| "val_total_loss": 0.4448992982506752, | |
| "val_seg_loss": 0.07935935145486957, | |
| "val_cls_loss": 0.3655399514929108, | |
| "val_seg_iou": 0.8856157410877115, | |
| "val_seg_dice": 0.9393385108005587, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8666666666666667, | |
| "val_cls_precision": 0.8507462686567164, | |
| "val_cls_recall": 0.9661016949152542, | |
| "val_cls_f1": 0.9047619047619047, | |
| "val_cls_auc": 0.8881903290748596 | |
| }, | |
| { | |
| "epoch": 12, | |
| "total_loss": 0.5059011499087016, | |
| "seg_loss": 0.05725990863783019, | |
| "cls_loss": 0.44864123818420226, | |
| "val_total_loss": 0.4382701370379199, | |
| "val_seg_loss": 0.07930069967456486, | |
| "val_cls_loss": 0.35896943768729334, | |
| "val_seg_iou": 0.8856746535702068, | |
| "val_seg_dice": 0.9393716481189703, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8666666666666667, | |
| "val_cls_precision": 0.8507462686567164, | |
| "val_cls_recall": 0.9661016949152542, | |
| "val_cls_f1": 0.9047619047619047, | |
| "val_cls_auc": 0.9075998067855835 | |
| }, | |
| { | |
| "epoch": 13, | |
| "total_loss": 0.4970441772824242, | |
| "seg_loss": 0.057231439685537705, | |
| "cls_loss": 0.439812736426081, | |
| "val_total_loss": 0.4344508498907089, | |
| "val_seg_loss": 0.09339732369003088, | |
| "val_cls_loss": 0.3410535249454172, | |
| "val_seg_iou": 0.8945803720041263, | |
| "val_seg_dice": 0.9443572679451131, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8777777777777778, | |
| "val_cls_precision": 0.875, | |
| "val_cls_recall": 0.9491525423728814, | |
| "val_cls_f1": 0.9105691056910569, | |
| "val_cls_auc": 0.9111536741256714 | |
| }, | |
| { | |
| "epoch": 14, | |
| "total_loss": 0.46513107106799173, | |
| "seg_loss": 0.05708659976011231, | |
| "cls_loss": 0.40804447230129015, | |
| "val_total_loss": 0.4582638439276944, | |
| "val_seg_loss": 0.08206254211456879, | |
| "val_cls_loss": 0.376201301165249, | |
| "val_seg_iou": 0.8872420885233893, | |
| "val_seg_dice": 0.9402525451491841, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8666666666666667, | |
| "val_cls_precision": 0.8507462686567164, | |
| "val_cls_recall": 0.9661016949152542, | |
| "val_cls_f1": 0.9047619047619047, | |
| "val_cls_auc": 0.9026790857315063 | |
| }, | |
| { | |
| "epoch": 15, | |
| "total_loss": 0.4548539487378938, | |
| "seg_loss": 0.05213610732129642, | |
| "cls_loss": 0.4027178420906975, | |
| "val_total_loss": 0.454915103705033, | |
| "val_seg_loss": 0.09062011280785436, | |
| "val_cls_loss": 0.36429498603810434, | |
| "val_seg_iou": 0.8955005118096512, | |
| "val_seg_dice": 0.9448697124905642, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8666666666666667, | |
| "val_cls_precision": 0.8507462686567164, | |
| "val_cls_recall": 0.9661016949152542, | |
| "val_cls_f1": 0.9047619047619047, | |
| "val_cls_auc": 0.9013122320175171 | |
| }, | |
| { | |
| "epoch": 16, | |
| "total_loss": 0.410304028292497, | |
| "seg_loss": 0.04845838170676004, | |
| "cls_loss": 0.3618456463728632, | |
| "val_total_loss": 0.5145163043685581, | |
| "val_seg_loss": 0.10101435382081114, | |
| "val_cls_loss": 0.4135019507097161, | |
| "val_seg_iou": 0.891431483260684, | |
| "val_seg_dice": 0.9425998151663669, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8555555555555555, | |
| "val_cls_precision": 0.859375, | |
| "val_cls_recall": 0.9322033898305084, | |
| "val_cls_f1": 0.8943089430894309, | |
| "val_cls_auc": 0.9051394462585449 | |
| }, | |
| { | |
| "epoch": 17, | |
| "total_loss": 0.3699024962882201, | |
| "seg_loss": 0.0493658354594594, | |
| "cls_loss": 0.3205366617866925, | |
| "val_total_loss": 0.49016835832077527, | |
| "val_seg_loss": 0.09558146333564883, | |
| "val_cls_loss": 0.39458689255558926, | |
| "val_seg_iou": 0.8980368589743589, | |
| "val_seg_dice": 0.9462796833773087, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8444444444444444, | |
| "val_cls_precision": 0.8461538461538461, | |
| "val_cls_recall": 0.9322033898305084, | |
| "val_cls_f1": 0.8870967741935484, | |
| "val_cls_auc": 0.9138873815536499 | |
| }, | |
| { | |
| "epoch": 18, | |
| "total_loss": 0.42403326346760706, | |
| "seg_loss": 0.05110736340284348, | |
| "cls_loss": 0.3729258975812367, | |
| "val_total_loss": 0.48100930387559143, | |
| "val_seg_loss": 0.10024259045072224, | |
| "val_cls_loss": 0.38076670921367145, | |
| "val_seg_iou": 0.8942522003419237, | |
| "val_seg_dice": 0.9441743820389976, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8555555555555555, | |
| "val_cls_precision": 0.8382352941176471, | |
| "val_cls_recall": 0.9661016949152542, | |
| "val_cls_f1": 0.8976377952755905, | |
| "val_cls_auc": 0.9045926928520203 | |
| }, | |
| { | |
| "epoch": 19, | |
| "total_loss": 0.34200384191104344, | |
| "seg_loss": 0.0491072195271651, | |
| "cls_loss": 0.29289662268544947, | |
| "val_total_loss": 0.5058531544130781, | |
| "val_seg_loss": 0.10361128624366678, | |
| "val_cls_loss": 0.4022418714897788, | |
| "val_seg_iou": 0.9026263111538153, | |
| "val_seg_dice": 0.9488214326295457, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8555555555555555, | |
| "val_cls_precision": 0.859375, | |
| "val_cls_recall": 0.9322033898305084, | |
| "val_cls_f1": 0.8943089430894309, | |
| "val_cls_auc": 0.9149808883666992 | |
| }, | |
| { | |
| "epoch": 20, | |
| "total_loss": 0.3296657298647222, | |
| "seg_loss": 0.047296005416484106, | |
| "cls_loss": 0.2823697240003163, | |
| "val_total_loss": 0.5930156037211418, | |
| "val_seg_loss": 0.10862410991736081, | |
| "val_cls_loss": 0.48439149542347243, | |
| "val_seg_iou": 0.9005908150758388, | |
| "val_seg_dice": 0.947695640673611, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8555555555555555, | |
| "val_cls_precision": 0.8484848484848485, | |
| "val_cls_recall": 0.9491525423728814, | |
| "val_cls_f1": 0.896, | |
| "val_cls_auc": 0.9002187252044678 | |
| }, | |
| { | |
| "epoch": 21, | |
| "total_loss": 0.3407677157294183, | |
| "seg_loss": 0.04778165167995862, | |
| "cls_loss": 0.29298606470582034, | |
| "val_total_loss": 0.521953581791857, | |
| "val_seg_loss": 0.11065525464389635, | |
| "val_cls_loss": 0.411298333140819, | |
| "val_seg_iou": 0.9034158153419418, | |
| "val_seg_dice": 0.949257443444796, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8444444444444444, | |
| "val_cls_precision": 0.835820895522388, | |
| "val_cls_recall": 0.9491525423728814, | |
| "val_cls_f1": 0.888888888888889, | |
| "val_cls_auc": 0.91361403465271 | |
| }, | |
| { | |
| "epoch": 22, | |
| "total_loss": 0.3208419575222901, | |
| "seg_loss": 0.04237900156350363, | |
| "cls_loss": 0.27846295549756006, | |
| "val_total_loss": 0.5469912105928296, | |
| "val_seg_loss": 0.12718820912034615, | |
| "val_cls_loss": 0.4198029992859001, | |
| "val_seg_iou": 0.9005287487132929, | |
| "val_seg_dice": 0.9476612751298544, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8555555555555555, | |
| "val_cls_precision": 0.8484848484848485, | |
| "val_cls_recall": 0.9491525423728814, | |
| "val_cls_f1": 0.896, | |
| "val_cls_auc": 0.9212684631347656 | |
| }, | |
| { | |
| "epoch": 23, | |
| "total_loss": 0.27995289305136317, | |
| "seg_loss": 0.04284256480279423, | |
| "cls_loss": 0.23711032902910595, | |
| "val_total_loss": 0.54095732404486, | |
| "val_seg_loss": 0.11155797411566196, | |
| "val_cls_loss": 0.42939934581923095, | |
| "val_seg_iou": 0.89917340357889, | |
| "val_seg_dice": 0.9469102735794911, | |
| "val_seg_count": 46.0, | |
| "val_cls_accuracy": 0.8666666666666667, | |
| "val_cls_precision": 0.8615384615384616, | |
| "val_cls_recall": 0.9491525423728814, | |
| "val_cls_f1": 0.903225806451613, | |
| "val_cls_auc": 0.922088623046875 | |
| } | |
| ], | |
| "test_metrics": { | |
| "total_loss": 0.4740983749861303, | |
| "seg_loss": 0.149400915140691, | |
| "cls_loss": 0.32469746322654514, | |
| "seg_iou": 0.851996586190484, | |
| "seg_dice": 0.920084402469685, | |
| "seg_count": 48.0, | |
| "cls_accuracy": 0.8555555555555555, | |
| "cls_precision": 0.9259259259259259, | |
| "cls_recall": 0.847457627118644, | |
| "cls_f1": 0.8849557522123893, | |
| "cls_auc": 0.9633679986000061 | |
| } | |
| } |