--- license: other tags: - generated_from_keras_callback model-index: - name: MariaK/mit-b0-finetuned-sidewalks results: [] --- # MariaK/mit-b0-finetuned-sidewalks 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: 0.8550 - Validation Loss: 0.8639 - Validation Mean Iou: 0.2220 - Validation Mean Accuracy: 0.2670 - Validation Overall Accuracy: 0.7725 - Validation Accuracy Unlabeled: 0.0 - Validation Accuracy Flat-road: 0.6015 - Validation Accuracy Flat-sidewalk: 0.9708 - Validation Accuracy Flat-crosswalk: 0.3807 - Validation Accuracy Flat-cyclinglane: 0.7538 - Validation Accuracy Flat-parkingdriveway: 0.1524 - Validation Accuracy Flat-railtrack: nan - Validation Accuracy Flat-curb: 0.1957 - Validation Accuracy Human-person: 0.2585 - Validation Accuracy Human-rider: 0.0 - Validation Accuracy Vehicle-car: 0.8971 - Validation Accuracy Vehicle-truck: 0.0 - Validation Accuracy Vehicle-bus: 0.0 - Validation Accuracy Vehicle-tramtrain: nan - Validation Accuracy Vehicle-motorcycle: 0.0 - Validation Accuracy Vehicle-bicycle: 0.0716 - Validation Accuracy Vehicle-caravan: 0.0 - Validation Accuracy Vehicle-cartrailer: 0.0 - Validation Accuracy Construction-building: 0.8784 - Validation Accuracy Construction-door: 0.0 - Validation Accuracy Construction-wall: 0.4315 - Validation Accuracy Construction-fenceguardrail: 0.1948 - Validation Accuracy Construction-bridge: 0.0 - Validation Accuracy Construction-tunnel: nan - Validation Accuracy Construction-stairs: 0.0 - Validation Accuracy Object-pole: 0.1201 - Validation Accuracy Object-trafficsign: 0.0 - Validation Accuracy Object-trafficlight: 0.0 - Validation Accuracy Nature-vegetation: 0.8952 - Validation Accuracy Nature-terrain: 0.8231 - Validation Accuracy Sky: 0.8496 - Validation Accuracy Void-ground: 0.0 - Validation Accuracy Void-dynamic: 0.0 - Validation Accuracy Void-static: 0.0692 - Validation Accuracy Void-unclear: 0.0 - Validation Iou Unlabeled: 0.0 - Validation Iou Flat-road: 0.5568 - Validation Iou Flat-sidewalk: 0.7479 - Validation Iou Flat-crosswalk: 0.3509 - Validation Iou Flat-cyclinglane: 0.6355 - Validation Iou Flat-parkingdriveway: 0.1298 - Validation Iou Flat-railtrack: nan - Validation Iou Flat-curb: 0.1326 - Validation Iou Human-person: 0.2455 - Validation Iou Human-rider: 0.0 - Validation Iou Vehicle-car: 0.6973 - Validation Iou Vehicle-truck: 0.0 - Validation Iou Vehicle-bus: 0.0 - Validation Iou Vehicle-tramtrain: nan - Validation Iou Vehicle-motorcycle: 0.0 - Validation Iou Vehicle-bicycle: 0.0610 - Validation Iou Vehicle-caravan: 0.0 - Validation Iou Vehicle-cartrailer: 0.0 - Validation Iou Construction-building: 0.6479 - Validation Iou Construction-door: 0.0 - Validation Iou Construction-wall: 0.3003 - Validation Iou Construction-fenceguardrail: 0.1727 - Validation Iou Construction-bridge: 0.0 - Validation Iou Construction-tunnel: nan - Validation Iou Construction-stairs: 0.0 - Validation Iou Object-pole: 0.0927 - Validation Iou Object-trafficsign: 0.0 - Validation Iou Object-trafficlight: 0.0 - Validation Iou Nature-vegetation: 0.7758 - Validation Iou Nature-terrain: 0.7000 - Validation Iou Sky: 0.8002 - Validation Iou Void-ground: 0.0 - Validation Iou Void-dynamic: 0.0 - Validation Iou Void-static: 0.0573 - Validation Iou Void-unclear: 0.0 - 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': 'Adam', 'learning_rate': 6e-05, 'decay': 0.0, '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 Flat-road | Validation Accuracy Flat-sidewalk | Validation Accuracy Flat-crosswalk | Validation Accuracy Flat-cyclinglane | Validation Accuracy Flat-parkingdriveway | Validation Accuracy Flat-railtrack | Validation Accuracy Flat-curb | Validation Accuracy Human-person | Validation Accuracy Human-rider | Validation Accuracy Vehicle-car | Validation Accuracy Vehicle-truck | Validation Accuracy Vehicle-bus | Validation Accuracy Vehicle-tramtrain | Validation Accuracy Vehicle-motorcycle | Validation Accuracy Vehicle-bicycle | Validation Accuracy Vehicle-caravan | Validation Accuracy Vehicle-cartrailer | Validation Accuracy Construction-building | Validation Accuracy Construction-door | Validation Accuracy Construction-wall | Validation Accuracy Construction-fenceguardrail | Validation Accuracy Construction-bridge | Validation Accuracy Construction-tunnel | Validation Accuracy Construction-stairs | Validation Accuracy Object-pole | Validation Accuracy Object-trafficsign | Validation Accuracy Object-trafficlight | Validation Accuracy Nature-vegetation | Validation Accuracy Nature-terrain | Validation Accuracy Sky | Validation Accuracy Void-ground | Validation Accuracy Void-dynamic | Validation Accuracy Void-static | Validation Accuracy Void-unclear | Validation Iou Unlabeled | Validation Iou Flat-road | Validation Iou Flat-sidewalk | Validation Iou Flat-crosswalk | Validation Iou Flat-cyclinglane | Validation Iou Flat-parkingdriveway | Validation Iou Flat-railtrack | Validation Iou Flat-curb | Validation Iou Human-person | Validation Iou Human-rider | Validation Iou Vehicle-car | Validation Iou Vehicle-truck | Validation Iou Vehicle-bus | Validation Iou Vehicle-tramtrain | Validation Iou Vehicle-motorcycle | Validation Iou Vehicle-bicycle | Validation Iou Vehicle-caravan | Validation Iou Vehicle-cartrailer | Validation Iou Construction-building | Validation Iou Construction-door | Validation Iou Construction-wall | Validation Iou Construction-fenceguardrail | Validation Iou Construction-bridge | Validation Iou Construction-tunnel | Validation Iou Construction-stairs | Validation Iou Object-pole | Validation Iou Object-trafficsign | Validation Iou Object-trafficlight | Validation Iou Nature-vegetation | Validation Iou Nature-terrain | Validation Iou Sky | Validation Iou Void-ground | Validation Iou Void-dynamic | Validation Iou Void-static | Validation Iou Void-unclear | Epoch | 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| 1.4362 | 0.9804 | 0.1752 | 0.2219 | 0.7360 | 0.0 | 0.7417 | 0.9512 | 0.0213 | 0.3662 | 0.1475 | nan | 0.1397 | 0.0055 | 0.0 | 0.8653 | 0.0 | 0.0 | nan | 0.0 | 0.0002 | 0.0 | 0.0 | 0.7778 | 0.0 | 0.3370 | 0.0429 | 0.0 | nan | 0.0 | 0.0177 | 0.0 | 0.0 | 0.9324 | 0.7967 | 0.9157 | 0.0 | 0.0 | 0.0409 | 0.0 | 0.0 | 0.5263 | 0.7377 | 0.0213 | 0.3517 | 0.1232 | nan | 0.1053 | 0.0055 | 0.0 | 0.6423 | 0.0 | 0.0 | nan | 0.0 | 0.0002 | 0.0 | 0.0 | 0.6012 | 0.0 | 0.2315 | 0.0424 | 0.0 | nan | 0.0 | 0.0163 | 0.0 | 0.0 | 0.7258 | 0.6752 | 0.7692 | 0.0 | 0.0 | 0.0321 | 0.0 | 0 | | 0.8550 | 0.8639 | 0.2220 | 0.2670 | 0.7725 | 0.0 | 0.6015 | 0.9708 | 0.3807 | 0.7538 | 0.1524 | nan | 0.1957 | 0.2585 | 0.0 | 0.8971 | 0.0 | 0.0 | nan | 0.0 | 0.0716 | 0.0 | 0.0 | 0.8784 | 0.0 | 0.4315 | 0.1948 | 0.0 | nan | 0.0 | 0.1201 | 0.0 | 0.0 | 0.8952 | 0.8231 | 0.8496 | 0.0 | 0.0 | 0.0692 | 0.0 | 0.0 | 0.5568 | 0.7479 | 0.3509 | 0.6355 | 0.1298 | nan | 0.1326 | 0.2455 | 0.0 | 0.6973 | 0.0 | 0.0 | nan | 0.0 | 0.0610 | 0.0 | 0.0 | 0.6479 | 0.0 | 0.3003 | 0.1727 | 0.0 | nan | 0.0 | 0.0927 | 0.0 | 0.0 | 0.7758 | 0.7000 | 0.8002 | 0.0 | 0.0 | 0.0573 | 0.0 | 1 | ### Framework versions - Transformers 4.25.1 - TensorFlow 2.9.2 - Datasets 2.8.0 - Tokenizers 0.13.2