--- license: other base_model: nvidia/mit-b0 tags: - generated_from_keras_callback model-index: - name: gojonumbertwo/mit-b0-finetuned-sidewalks results: [] --- # gojonumbertwo/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: 0.6819 - Validation Loss: 0.6653 - Validation Mean Iou: 0.2580 - Validation Mean Accuracy: 0.3139 - Validation Overall Accuracy: 0.8121 - Validation Accuracy Unlabeled: 0.0 - Validation Accuracy Flat-road: 0.8867 - Validation Accuracy Flat-sidewalk: 0.9319 - Validation Accuracy Flat-crosswalk: 0.8074 - Validation Accuracy Flat-cyclinglane: 0.8231 - Validation Accuracy Flat-parkingdriveway: 0.2904 - Validation Accuracy Flat-railtrack: 0.0 - Validation Accuracy Flat-curb: 0.4258 - Validation Accuracy Human-person: 0.5364 - Validation Accuracy Human-rider: 0.0 - Validation Accuracy Vehicle-car: 0.9093 - Validation Accuracy Vehicle-truck: 0.0 - Validation Accuracy Vehicle-bus: nan - Validation Accuracy Vehicle-tramtrain: 0.0 - Validation Accuracy Vehicle-motorcycle: 0.0 - Validation Accuracy Vehicle-bicycle: 0.3995 - Validation Accuracy Vehicle-caravan: nan - Validation Accuracy Vehicle-cartrailer: 0.0 - Validation Accuracy Construction-building: 0.8165 - Validation Accuracy Construction-door: 0.0 - Validation Accuracy Construction-wall: 0.3690 - Validation Accuracy Construction-fenceguardrail: 0.1823 - Validation Accuracy Construction-bridge: 0.0 - Validation Accuracy Construction-tunnel: 0.0 - Validation Accuracy Construction-stairs: 0.0 - Validation Accuracy Object-pole: 0.1572 - Validation Accuracy Object-trafficsign: 0.0 - Validation Accuracy Object-trafficlight: 0.0 - Validation Accuracy Nature-vegetation: 0.9480 - Validation Accuracy Nature-terrain: 0.7170 - Validation Accuracy Sky: 0.9497 - Validation Accuracy Void-ground: 0.0 - Validation Accuracy Void-dynamic: 0.0001 - Validation Accuracy Void-static: 0.2072 - Validation Accuracy Void-unclear: 0.0 - Validation Iou Unlabeled: 0.0 - Validation Iou Flat-road: 0.6883 - Validation Iou Flat-sidewalk: 0.8455 - Validation Iou Flat-crosswalk: 0.6687 - Validation Iou Flat-cyclinglane: 0.7162 - Validation Iou Flat-parkingdriveway: 0.2310 - Validation Iou Flat-railtrack: 0.0 - Validation Iou Flat-curb: 0.3124 - Validation Iou Human-person: 0.3408 - Validation Iou Human-rider: 0.0 - Validation Iou Vehicle-car: 0.7443 - Validation Iou Vehicle-truck: 0.0 - Validation Iou Vehicle-bus: nan - Validation Iou Vehicle-tramtrain: 0.0 - Validation Iou Vehicle-motorcycle: 0.0 - Validation Iou Vehicle-bicycle: 0.3639 - Validation Iou Vehicle-caravan: nan - Validation Iou Vehicle-cartrailer: 0.0 - Validation Iou Construction-building: 0.5354 - Validation Iou Construction-door: 0.0 - Validation Iou Construction-wall: 0.2346 - Validation Iou Construction-fenceguardrail: 0.1765 - Validation Iou Construction-bridge: 0.0 - Validation Iou Construction-tunnel: 0.0 - Validation Iou Construction-stairs: 0.0 - Validation Iou Object-pole: 0.1263 - Validation Iou Object-trafficsign: 0.0 - Validation Iou Object-trafficlight: 0.0 - Validation Iou Nature-vegetation: 0.8177 - Validation Iou Nature-terrain: 0.6469 - Validation Iou Sky: 0.8989 - Validation Iou Void-ground: 0.0 - Validation Iou Void-dynamic: 0.0001 - Validation Iou Void-static: 0.1658 - Validation Iou Void-unclear: 0.0 - Epoch: 2 ## 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 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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| 1.4058 | 0.8961 | 0.1865 | 0.2389 | 0.7644 | 0.0 | 0.8103 | 0.9098 | 0.1351 | 0.8235 | 0.1507 | 0.0 | 0.2782 | 0.0666 | 0.0 | 0.9143 | 0.0 | nan | 0.0 | 0.0 | 0.0483 | nan | 0.0 | 0.8191 | 0.0 | 0.1924 | 0.0120 | 0.0 | 0.0 | 0.0 | 0.0535 | 0.0 | 0.0 | 0.9142 | 0.7624 | 0.9467 | 0.0 | 0.0 | 0.0478 | 0.0 | 0.0 | 0.6150 | 0.8082 | 0.1260 | 0.6210 | 0.1162 | 0.0 | 0.1997 | 0.0648 | 0.0 | 0.6126 | 0.0 | nan | 0.0 | 0.0 | 0.0479 | nan | 0.0 | 0.4701 | 0.0 | 0.1379 | 0.0119 | 0.0 | 0.0 | 0.0 | 0.0500 | 0.0 | 0.0 | 0.7790 | 0.6004 | 0.8548 | 0.0 | 0.0 | 0.0399 | 0.0 | 0 | | 0.8255 | 0.7346 | 0.2294 | 0.2777 | 0.7971 | 0.0 | 0.8370 | 0.9446 | 0.4464 | 0.8134 | 0.2023 | 0.0 | 0.3530 | 0.3170 | 0.0 | 0.8852 | 0.0 | nan | 0.0 | 0.0 | 0.2113 | nan | 0.0 | 0.8485 | 0.0 | 0.2671 | 0.1569 | 0.0 | 0.0 | 0.0 | 0.1155 | 0.0 | 0.0 | 0.9336 | 0.7651 | 0.9517 | 0.0 | 0.0 | 0.1167 | 0.0 | 0.0 | 0.6487 | 0.8333 | 0.4135 | 0.6688 | 0.1695 | 0.0 | 0.2635 | 0.2473 | 0.0 | 0.7229 | 0.0 | nan | 0.0 | 0.0 | 0.2011 | nan | 0.0 | 0.5074 | 0.0 | 0.1884 | 0.1474 | 0.0 | 0.0 | 0.0 | 0.1010 | 0.0 | 0.0 | 0.8129 | 0.6648 | 0.8836 | 0.0 | 0.0 | 0.0953 | 0.0 | 1 | | 0.6819 | 0.6653 | 0.2580 | 0.3139 | 0.8121 | 0.0 | 0.8867 | 0.9319 | 0.8074 | 0.8231 | 0.2904 | 0.0 | 0.4258 | 0.5364 | 0.0 | 0.9093 | 0.0 | nan | 0.0 | 0.0 | 0.3995 | nan | 0.0 | 0.8165 | 0.0 | 0.3690 | 0.1823 | 0.0 | 0.0 | 0.0 | 0.1572 | 0.0 | 0.0 | 0.9480 | 0.7170 | 0.9497 | 0.0 | 0.0001 | 0.2072 | 0.0 | 0.0 | 0.6883 | 0.8455 | 0.6687 | 0.7162 | 0.2310 | 0.0 | 0.3124 | 0.3408 | 0.0 | 0.7443 | 0.0 | nan | 0.0 | 0.0 | 0.3639 | nan | 0.0 | 0.5354 | 0.0 | 0.2346 | 0.1765 | 0.0 | 0.0 | 0.0 | 0.1263 | 0.0 | 0.0 | 0.8177 | 0.6469 | 0.8989 | 0.0 | 0.0001 | 0.1658 | 0.0 | 2 | ### Framework versions - Transformers 4.35.2 - TensorFlow 2.14.0 - Datasets 2.15.0 - Tokenizers 0.15.0