readme: ---
  license: other
  tags:
  - generated_from_keras_callback
  model-index:
  - name: dousey/scene_segmentation
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information Keras had access to. You should
  probably proofread and complete it, then remove this comment. -->
  
  # dousey/scene_segmentation
  
  This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: nan
  - Validation Loss: nan
  - Validation Mean Iou: 0.0217
  - Validation Mean Accuracy: 0.5
  - Validation Overall Accuracy: 0.2545
  - Validation Accuracy Background: 1.0
  - Validation Accuracy Bleuet: 0.0
  - Validation Accuracy Comptonie: nan
  - Validation Accuracy Kalmia: nan
  - Validation Iou Background: 0.0433
  - Validation Iou Bleuet: 0.0
  - Validation Iou Comptonie: nan
  - Validation Iou Kalmia: nan
  - Epoch: 1
  
  ## 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:
  - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 6e-05, 'decay_steps': 76500, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Accuracy Background | Validation Accuracy Bleuet | Validation Accuracy Comptonie | Validation Accuracy Kalmia | Validation Iou Background | Validation Iou Bleuet | Validation Iou Comptonie | Validation Iou Kalmia | Epoch |
  |:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:------------------------------:|:--------------------------:|:-----------------------------:|:--------------------------:|:-------------------------:|:---------------------:|:------------------------:|:---------------------:|:-----:|
  | nan        | nan             | 0.0217              | 0.5                      | 0.2545                      | 1.0                            | 0.0                        | nan                           | nan                        | 0.0433                    | 0.0                   | nan                      | nan                   | 0     |
  | nan        | nan             | 0.0217              | 0.5                      | 0.2545                      | 1.0                            | 0.0                        | nan                           | nan                        | 0.0433                    | 0.0                   | nan                      | nan                   | 1     |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - TensorFlow 2.9.2
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  