guohao123/mit-b0-finetuned-sidewalks
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: 2.4469
- Validation Loss: 1.5292
- Validation Mean Iou: 0.1261
- Validation Mean Accuracy: 0.2352
- Validation Overall Accuracy: 0.6917
- Validation Accuracy Unlabeled: 0.0
- Validation Accuracy Flat-road: 0.4459
- Validation Accuracy Flat-sidewalk: 0.8997
- Validation Accuracy Flat-crosswalk: nan
- Validation Accuracy Flat-cyclinglane: 0.0
- Validation Accuracy Flat-parkingdriveway: 0.0484
- Validation Accuracy Flat-railtrack: nan
- Validation Accuracy Flat-curb: 0.0097
- Validation Accuracy Human-person: 0.0001
- Validation Accuracy Human-rider: nan
- Validation Accuracy Vehicle-car: 0.7916
- Validation Accuracy Vehicle-truck: nan
- Validation Accuracy Vehicle-bus: nan
- Validation Accuracy Vehicle-tramtrain: nan
- Validation Accuracy Vehicle-motorcycle: nan
- Validation Accuracy Vehicle-bicycle: nan
- Validation Accuracy Vehicle-caravan: 0.0
- Validation Accuracy Vehicle-cartrailer: nan
- Validation Accuracy Construction-building: 0.4833
- Validation Accuracy Construction-door: 0.0
- Validation Accuracy Construction-wall: 0.0888
- Validation Accuracy Construction-fenceguardrail: 0.0
- Validation Accuracy Construction-bridge: nan
- Validation Accuracy Construction-tunnel: nan
- Validation Accuracy Construction-stairs: 0.0
- Validation Accuracy Object-pole: 0.0059
- Validation Accuracy Object-trafficsign: 0.0
- Validation Accuracy Object-trafficlight: nan
- Validation Accuracy Nature-vegetation: 0.9408
- Validation Accuracy Nature-terrain: 0.6453
- Validation Accuracy Sky: 0.5797
- Validation Accuracy Void-ground: 0.0
- Validation Accuracy Void-dynamic: nan
- Validation Accuracy Void-static: 0.0
- Validation Accuracy Void-unclear: nan
- Validation Iou Unlabeled: 0.0
- Validation Iou Flat-road: 0.2619
- Validation Iou Flat-sidewalk: 0.7620
- Validation Iou Flat-crosswalk: 0.0
- Validation Iou Flat-cyclinglane: 0.0
- Validation Iou Flat-parkingdriveway: 0.0349
- Validation Iou Flat-railtrack: nan
- Validation Iou Flat-curb: 0.0086
- Validation Iou Human-person: 0.0000
- Validation Iou Human-rider: 0.0
- Validation Iou Vehicle-car: 0.6532
- Validation Iou Vehicle-truck: nan
- Validation Iou Vehicle-bus: nan
- Validation Iou Vehicle-tramtrain: nan
- Validation Iou Vehicle-motorcycle: nan
- Validation Iou Vehicle-bicycle: 0.0
- Validation Iou Vehicle-caravan: 0.0
- Validation Iou Vehicle-cartrailer: 0.0
- Validation Iou Construction-building: 0.3892
- Validation Iou Construction-door: 0.0
- Validation Iou Construction-wall: 0.0390
- Validation Iou Construction-fenceguardrail: 0.0
- Validation Iou Construction-bridge: 0.0
- Validation Iou Construction-tunnel: 0.0
- Validation Iou Construction-stairs: 0.0
- Validation Iou Object-pole: 0.0059
- Validation Iou Object-trafficsign: 0.0
- Validation Iou Object-trafficlight: 0.0
- Validation Iou Nature-vegetation: 0.6633
- Validation Iou Nature-terrain: 0.3991
- Validation Iou Sky: 0.5664
- Validation Iou Void-ground: 0.0
- Validation Iou Void-dynamic: 0.0
- Validation Iou Void-static: 0.0
- Validation Iou Void-unclear: 0.0
- Epoch: 0
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2.4469 | 1.5292 | 0.1261 | 0.2352 | 0.6917 | 0.0 | 0.4459 | 0.8997 | nan | 0.0 | 0.0484 | nan | 0.0097 | 0.0001 | nan | 0.7916 | nan | nan | nan | nan | nan | 0.0 | nan | 0.4833 | 0.0 | 0.0888 | 0.0 | nan | nan | 0.0 | 0.0059 | 0.0 | nan | 0.9408 | 0.6453 | 0.5797 | 0.0 | nan | 0.0 | nan | 0.0 | 0.2619 | 0.7620 | 0.0 | 0.0 | 0.0349 | nan | 0.0086 | 0.0000 | 0.0 | 0.6532 | nan | nan | nan | nan | 0.0 | 0.0 | 0.0 | 0.3892 | 0.0 | 0.0390 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0059 | 0.0 | 0.0 | 0.6633 | 0.3991 | 0.5664 | 0.0 | 0.0 | 0.0 | 0.0 | 0 |
Framework versions
- Transformers 4.27.4
- TensorFlow 2.6.0
- Datasets 2.20.0
- Tokenizers 0.13.3
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