resnet50 trained on dushj98/aerial_real_only
This model is a fine-tuned version of resnet50 on the dushj98/aerial_real_only dataset.
Model Details
- Model Type: resnet50
- Training Dataset: dushj98/aerial_real_only
- Number of classes: 13
Training Metadata
- model: resnet50
- epochs: 25
- lr: 0.0003
- batch_size: 32
- dataset: dushj98/aerial_real_only
- random_seed: 42
- feature_extraction: False
- training_mode: ft
- data_augmentation: True
- num_classes: 13
- patience: 10
- scheduler: cosine
- best_val_acc: 0.5
- best_val_loss: 3.16637699618311
- best_epoch: 24
- val_acc_history: [0.44587747581759557, 0.46890833717181024, 0.4666052510363888, 0.45232611699677566, 0.4438046982957163, 0.45071395670198067, 0.463841547673883, 0.47650852141870104, 0.45670198065407647, 0.4702901888530631, 0.48618148318747123, 0.4663749424228466, 0.48042376784891755, 0.48019345923537543, 0.4891754951635191, 0.48641179180101335, 0.49124827268539845, 0.49631506218332566, 0.4900967296176877, 0.49746660525103636, 0.49792722247812066, 0.4940119760479042, 0.4953938277291571, 0.4997696913864578, 0.5]
- train_time: 901.405978427967
- lr_history: [0.0003, 0.00029882903314519993, 0.0002953345994276017, 0.00028957180815440534, 0.00028163154198651373, 0.0002716390236646797, 0.0002597518411720796, 0.0002461574624776804, 0.00023107027905438094, 0.00021472822479741324, 0.00019738902366467964, 0.00017932612521598008, 0.000160824392150103, 0.00014217560784989694, 0.0001236738747840199, 0.00010561097633532034, 8.82717752025867e-05, 7.192972094561895e-05, 5.684253752231956e-05, 4.324815882792041e-05, 3.1360976335320314e-05, 2.1368458013486254e-05, 1.3428191845594673e-05, 7.6654005723983e-06, 4.170966854800051e-06]
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