readme: ---
  license: other
  tags:
  - vision
  - semantic-segmentation
  - generated_from_trainer
  datasets:
  - ds_tag1
  - ds_tag2
  model-index:
  - name: segformer-b4-finetuned-segments-sidewalk
    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-b4-finetuned-segments-sidewalk
  
  This model is a fine-tuned version of [nvidia/mit-b4](https://huggingface.co/nvidia/mit-b4) on the segments/sidewalk-semantic dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6675
  - Mean Iou: 0.4470
  - Mean Accuracy: 0.5318
  - Overall Accuracy: 0.8813
  - Per Category Iou: [nan, 0.8533604816441539, 0.8708564376734238, 0.7156066545682345, 0.7983500150170627, 0.41321512443014663, nan, 0.5985238978790051, 0.594578879531733, 0.2628567068518236, 0.8786538788390237, 0.31440437475402366, 0.03608445297504798, nan, 0.09407417012448133, 0.6379131555367624, 0.0, 0.030675647939096523, 0.7682604802535551, 0.18266911680257264, 0.4825862889842458, 0.4408940826749661, 0.33210263983754845, nan, 0.09290563675138425, 0.4449054225103382, 0.47077278372077824, 0.21916411824668705, 0.8724052658393265, 0.7617232855126097, 0.9444534550949257, 0.025704847176713768, 0.3993842932680365, 0.3205363901805991, 0.0]
  - Per Category Accuracy: [nan, 0.9380875578102342, 0.9543011168303082, 0.8679443695951874, 0.8440564280853614, 0.5113012519627518, nan, 0.6873750638506678, 0.8562476885610814, 0.43591041376692397, 0.9688079889567591, 0.35346513902473103, 0.03608445297504798, nan, 0.0947777523759757, 0.7549116557254, 0.0, 0.030763473053892217, 0.9130259245472051, 0.21554735732570396, 0.6246260465528358, 0.5660428706356957, 0.4763039449298385, nan, 0.12561338535811123, 0.5679549548577777, 0.6743017631455765, 0.2707808564231738, 0.93120742667048, 0.8943661383441811, 0.9793189796995165, 0.028724445966322443, 0.4894588629271634, 0.39592709085000083, 0.0]
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   | Per Category Accuracy                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------