--- license: other base_model: nvidia/mit-b0 tags: - generated_from_keras_callback model-index: - name: greathero/mit-b0-finetuned-contrails-morethanx35newercontrailsdataset results: [] --- # greathero/mit-b0-finetuned-contrails-morethanx35newercontrailsdataset 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: 0.0067 - Validation Loss: 0.0062 - Validation Mean Iou: 0.5049 - Validation Mean Accuracy: 0.5454 - Validation Overall Accuracy: 0.9983 - Validation Accuracy Unlabeled: 0.4868 - Validation Accuracy Notlabeled: 1.0000 - Validation Accuracy Otherclass: 0.6893 - Validation Accuracy Contrail: 0.0057 - Validation Iou Unlabeled: 0.4702 - Validation Iou Notlabeled: 0.9983 - Validation Iou Otherclass: 0.5456 - Validation Iou Contrail: 0.0056 - Epoch: 14 ## 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 6e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} - training_precision: float32 ### Training results | Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Accuracy Unlabeled | Validation Accuracy Notlabeled | Validation Accuracy Otherclass | Validation Accuracy Contrail | Validation Iou Unlabeled | Validation Iou Notlabeled | Validation Iou Otherclass | Validation Iou Contrail | Epoch | |:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:-----------------------------:|:------------------------------:|:------------------------------:|:----------------------------:|:------------------------:|:-------------------------:|:-------------------------:|:-----------------------:|:-----:| | 0.2395 | 0.0367 | 0.2496 | 0.25 | 0.9983 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.9983 | 0.0 | 0.0 | 0 | | 0.0286 | 0.0204 | 0.2496 | 0.25 | 0.9983 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.9983 | 0.0 | 0.0 | 1 | | 0.0194 | 0.0156 | 0.2496 | 0.25 | 0.9983 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.9983 | 0.0 | 0.0 | 2 | | 0.0157 | 0.0144 | 0.2496 | 0.25 | 0.9983 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.9983 | 0.0 | 0.0 | 3 | | 0.0141 | 0.0137 | 0.2496 | 0.25 | 0.9983 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.9983 | 0.0 | 0.0 | 4 | | 0.0133 | 0.0132 | 0.2496 | 0.25 | 0.9983 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.9983 | 0.0 | 0.0 | 5 | | 0.0126 | 0.0125 | 0.2496 | 0.25 | 0.9983 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.9983 | 0.0 | 0.0 | 6 | | 0.0118 | 0.0117 | 0.2496 | 0.25 | 0.9983 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.9983 | 0.0 | 0.0 | 7 | | 0.0112 | 0.0110 | 0.2551 | 0.2555 | 0.9983 | 0.0 | 1.0000 | 0.0222 | 0.0 | 0.0 | 0.9983 | 0.0220 | 0.0 | 8 | | 0.0106 | 0.0103 | 0.2744 | 0.2756 | 0.9983 | 0.0180 | 1.0000 | 0.0832 | 0.0013 | 0.0179 | 0.9983 | 0.0801 | 0.0013 | 9 | | 0.0100 | 0.0094 | 0.3172 | 0.3225 | 0.9983 | 0.0527 | 1.0000 | 0.2344 | 0.0030 | 0.0521 | 0.9983 | 0.2154 | 0.0030 | 10 | | 0.0091 | 0.0087 | 0.3117 | 0.3138 | 0.9983 | 0.1026 | 1.0000 | 0.1470 | 0.0055 | 0.1014 | 0.9983 | 0.1415 | 0.0055 | 11 | | 0.0083 | 0.0076 | 0.3844 | 0.3941 | 0.9983 | 0.1540 | 1.0000 | 0.4189 | 0.0037 | 0.1516 | 0.9983 | 0.3840 | 0.0037 | 12 | | 0.0073 | 0.0070 | 0.4402 | 0.4781 | 0.9983 | 0.1997 | 0.9999 | 0.6616 | 0.0511 | 0.1978 | 0.9983 | 0.5167 | 0.0479 | 13 | | 0.0067 | 0.0062 | 0.5049 | 0.5454 | 0.9983 | 0.4868 | 1.0000 | 0.6893 | 0.0057 | 0.4702 | 0.9983 | 0.5456 | 0.0056 | 14 | ### Framework versions - Transformers 4.35.2 - TensorFlow 2.15.0 - Datasets 2.15.0 - Tokenizers 0.15.0