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README.md
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---
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{}
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---
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# efficientnetv2_m trained on dushj98/aerial_real_only
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This model is a fine-tuned version of efficientnetv2_m on the dushj98/aerial_real_only dataset.
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## Model Details
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- Model Type: efficientnetv2_m
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- Training Dataset: dushj98/aerial_real_only
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- Number of classes: 13
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## Training Metadata
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- model: efficientnetv2_m
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- epochs: 25
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- lr: 0.0002
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- batch_size: 16
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- dataset: dushj98/aerial_real_only
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- random_seed: 42
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- feature_extraction: False
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- training_mode: ft
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- data_augmentation: True
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- num_classes: 13
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- patience: 10
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- scheduler: cosine
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- best_val_acc: 0.5018424689083372
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- best_val_loss: 3.32524898556835
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- best_epoch: 19
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- val_acc_history: [0.473284200829111, 0.4882542607093505, 0.4877936434822662, 0.47443574389682175, 0.4702901888530631, 0.4792722247812068, 0.48526024873330265, 0.4785812989405804, 0.48572086596038694, 0.48526024873330265, 0.48595117457392906, 0.49332105020727773, 0.4845693228926762, 0.4877936434822662, 0.482726853984339, 0.48986642100414557, 0.49147858129894056, 0.49677567941040995, 0.49723629663749425, 0.5018424689083372, 0.49700598802395207, 0.5011515430677107, 0.4990787655458314, 0.5002303086135421, 0.501612160294795]
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- train_time: 1975.8231925789732
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- lr_history: [0.0002, 0.00019921935543013334, 0.0001968897329517345, 0.00019304787210293691, 0.0001877543613243425, 0.00018109268244311983, 0.00017316789411471977, 0.0001641049749851203, 0.00015404685270292066, 0.0001431521498649422, 0.0001315926824431198, 0.00011955075014398676, 0.00010721626143340204, 9.478373856659798e-05, 8.244924985601326e-05, 7.040731755688022e-05, 5.8847850135057804e-05, 4.7953147297079305e-05, 3.789502501487971e-05, 2.8832105885280274e-05, 2.090731755688021e-05, 1.4245638675657503e-05, 8.952127897063115e-06, 5.110267048265534e-06, 2.780644569866701e-06]
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