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Artur01/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: 1.3943
- Validation Loss: 0.8293
- Validation Mean Iou: 0.2097
- Validation Mean Accuracy: 0.2617
- Validation Overall Accuracy: 0.7688
- Validation Accuracy Unlabeled: 0.0
- Validation Accuracy Flat-road: 0.6688
- Validation Accuracy Flat-sidewalk: 0.9258
- Validation Accuracy Flat-crosswalk: 0.4607
- Validation Accuracy Flat-cyclinglane: 0.7716
- Validation Accuracy Flat-parkingdriveway: 0.2329
- Validation Accuracy Flat-railtrack: nan
- Validation Accuracy Flat-curb: 0.1001
- Validation Accuracy Human-person: 0.0011
- Validation Accuracy Human-rider: 0.0
- Validation Accuracy Vehicle-car: 0.8806
- 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: 0.2446
- Validation Accuracy Vehicle-caravan: 0.0
- Validation Accuracy Vehicle-cartrailer: nan
- Validation Accuracy Construction-building: 0.8260
- Validation Accuracy Construction-door: 0.0
- Validation Accuracy Construction-wall: 0.2769
- Validation Accuracy Construction-fenceguardrail: 0.0618
- Validation Accuracy Construction-bridge: 0.0
- Validation Accuracy Construction-tunnel: nan
- Validation Accuracy Construction-stairs: 0.0
- Validation Accuracy Object-pole: 0.0127
- Validation Accuracy Object-trafficsign: 0.0
- Validation Accuracy Object-trafficlight: 0.0
- Validation Accuracy Nature-vegetation: 0.9125
- Validation Accuracy Nature-terrain: 0.7600
- Validation Accuracy Sky: 0.9223
- Validation Accuracy Void-ground: 0.0
- Validation Accuracy Void-dynamic: 0.0122
- Validation Accuracy Void-static: 0.0431
- Validation Accuracy Void-unclear: 0.0
- Validation Iou Unlabeled: 0.0
- Validation Iou Flat-road: 0.5491
- Validation Iou Flat-sidewalk: 0.7881
- Validation Iou Flat-crosswalk: 0.4034
- Validation Iou Flat-cyclinglane: 0.4981
- Validation Iou Flat-parkingdriveway: 0.1731
- Validation Iou Flat-railtrack: nan
- Validation Iou Flat-curb: 0.0869
- Validation Iou Human-person: 0.0011
- Validation Iou Human-rider: 0.0
- Validation Iou Vehicle-car: 0.6311
- 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: 0.2027
- Validation Iou Vehicle-caravan: 0.0
- Validation Iou Vehicle-cartrailer: nan
- Validation Iou Construction-building: 0.5921
- Validation Iou Construction-door: 0.0
- Validation Iou Construction-wall: 0.2356
- Validation Iou Construction-fenceguardrail: 0.0570
- Validation Iou Construction-bridge: 0.0
- Validation Iou Construction-tunnel: nan
- Validation Iou Construction-stairs: 0.0
- Validation Iou Object-pole: 0.0125
- Validation Iou Object-trafficsign: 0.0
- Validation Iou Object-trafficlight: 0.0
- Validation Iou Nature-vegetation: 0.7724
- Validation Iou Nature-terrain: 0.5932
- Validation Iou Sky: 0.8602
- Validation Iou Void-ground: 0.0
- Validation Iou Void-dynamic: 0.0120
- Validation Iou Void-static: 0.0323
- 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', '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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1.3943 | 0.8293 | 0.2097 | 0.2617 | 0.7688 | 0.0 | 0.6688 | 0.9258 | 0.4607 | 0.7716 | 0.2329 | nan | 0.1001 | 0.0011 | 0.0 | 0.8806 | 0.0 | 0.0 | nan | 0.0 | 0.2446 | 0.0 | nan | 0.8260 | 0.0 | 0.2769 | 0.0618 | 0.0 | nan | 0.0 | 0.0127 | 0.0 | 0.0 | 0.9125 | 0.7600 | 0.9223 | 0.0 | 0.0122 | 0.0431 | 0.0 | 0.0 | 0.5491 | 0.7881 | 0.4034 | 0.4981 | 0.1731 | nan | 0.0869 | 0.0011 | 0.0 | 0.6311 | 0.0 | 0.0 | nan | 0.0 | 0.2027 | 0.0 | nan | 0.5921 | 0.0 | 0.2356 | 0.0570 | 0.0 | nan | 0.0 | 0.0125 | 0.0 | 0.0 | 0.7724 | 0.5932 | 0.8602 | 0.0 | 0.0120 | 0.0323 | 0.0 | 0 |
Framework versions
- Transformers 4.28.0
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3