readme: ---
  license: other
  tags:
  - generated_from_trainer
  model-index:
  - name: segformer-b0-drone-real
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # segformer-b0-drone-real
  
  This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.5066
  - Mean Iou: 0.0277
  - Mean Accuracy: 0.0561
  - Overall Accuracy: 0.3272
  - Per Category Iou: [nan, 0.3359579661339679, 0.0, 0.20517716653585355, 0.003702068923287315, 0.0, 0.0, 0.0, 0.006312134342948017, 0.058787282412541476, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan]
  - Per Category Accuracy: [nan, 0.6093986043791881, 0.0, 0.4105641817321649, 0.003921086446309355, 0.0, 0.0, 0.0, 0.00706877745310955, 0.20348775859354865, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan]
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 6e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou                                                                                                                                                                                                                                                                     | Per Category Accuracy                                                                                                                                                                                                                                                          |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
  | 2.8285        | 2.0   | 40   | 2.8542          | 0.0229   | 0.0536        | 0.2211           | [nan, 0.23060686675928652, 3.3649639948852546e-05, 0.16273692278074856, 0.013325250843685254, 4.063223761732559e-05, 0.0, 0.0, 0.035811860573766785, 0.06198642655834834, 0.0, 0.0, 6.128953174797744e-05, 0.0, 0.0, 0.0, 5.1148278860416345e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan] | [nan, 0.33385338422824606, 3.373169528473065e-05, 0.299629413956809, 0.014924989967585504, 4.09158863797309e-05, 0.0, 0.0, 0.06156816279101685, 0.46948081490592114, 0.0, 0.0, 7.101768340316739e-05, 0.0, 0.0, 0.0, 5.163155720776539e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan] |
  | 2.6567        | 4.0   | 80   | 2.6894          | 0.0262   | 0.0563        | 0.2866           | [nan, 0.30624516924744655, 0.0, 0.18452743224435408, 0.004815305953306897, 0.0, 0.0, 0.0, 0.013916000286575587, 0.06596235864669749, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan]                                                                           | [nan, 0.49410241551371004, 0.0, 0.3789267923602906, 0.005102681931249924, 0.0, 0.0, 0.0, 0.016502745882809654, 0.3439400151190408, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan]                                                                       |
  | 2.3286        | 6.0   | 120  | 2.5923          | 0.0267   | 0.0560        | 0.3328           | [nan, 0.35729772739055154, 0.0, 0.1539404924138176, 0.0035934817901112264, 0.0, 0.0, 0.0, 0.005766957703680072, 0.06586525335295575, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan]                                                                           | [nan, 0.7280486819078453, 0.0, 0.23220288304265976, 0.003859608350752127, 0.0, 0.0, 0.0, 0.006166880921555261, 0.2614486947285752, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, nan]                                                                       |
  | 2.3836        | 8.0   | 160  | 2.5890          | 0.0275   | 0.0575        | 0.3244           | [nan, 0.349601471481378, 0.0, 0.17496917223449057, 0.0044570694472161245, 0.0, 0.0, 0.0, 0.007437757319012064, 0.0682080200846761, 0.0, 0.0, 0.0, 0