dousey/scene_segmentation

<!-- 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 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', 'learningrate': {'classname': 'PolynomialDecay', 'config': {'initiallearningrate': 6e-05, 'decaysteps': 76500, 'endlearningrate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weightdecay_rate': 0.01}
• —training_precision: float32

Training results

Framework versions

• —Transformers 4.26.0
• —TensorFlow 2.9.2
• —Datasets 2.9.0
• —Tokenizers 0.13.2