readme: ---
  license: other
  tags:
  - generated_from_trainer
  datasets:
  - scene_parse_150
  model-index:
  - name: my_awesome_seg_model
    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. -->
  
  # my_awesome_seg_model
  
  This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the scene_parse_150 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.6432
  - Mean Iou: 0.0911
  - Mean Accuracy: 0.1868
  - Overall Accuracy: 0.4793
  - Per Category Iou: [0.5426296173059788, 0.2947250971937308, 0.2593935859781869, 0.45173125506778267, 0.38272757070710234, 0.20843480268400397, 0.428475951976423, 0.5954193004635483, 0.0008033243744483343, 0.011841963612875444, 0.0, 0.0, 0.39798770262716604, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6574200718071466, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.050726353169051976, 0.0, 0.0, nan, 0.0, 0.0, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan]
  - Per Category Accuracy: [0.8164239683360996, 0.9948410129661233, 0.9814696886800068, 0.6506930635726559, 0.4434671330667499, 0.21132747906583407, 0.9948027668723126, 0.6222113597731216, 0.001242502799466184, 0.012012012012012012, nan, 0.0, 0.7683107773931028, nan, 0.0, 0.0, nan, 0.0, nan, nan, 0.9100106496272631, nan, 0.0, 0.0, nan, 0.0, 0.0, nan, 0.0, 0.0, 0.06326497745329611, 0.0, 0.0, nan, 0.0, nan, 0.0, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 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: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 50
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             | Per Category Accuracy                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            