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sayakpaul/mit-b0-finetuned-sidewalks-dummy
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: 0.8504
- Validation Loss: 0.6735
- Validation Mean Iou: 0.2144
- Validation Mean Accuracy: 0.2583
- Validation Overall Accuracy: 0.8056
- Validation Accuracy Unlabeled: 0.0
- Validation Accuracy Flat-road: 0.8118
- Validation Accuracy Flat-sidewalk: 0.9500
- Validation Accuracy Flat-crosswalk: 0.2562
- Validation Accuracy Flat-cyclinglane: 0.6735
- Validation Accuracy Flat-parkingdriveway: 0.1499
- Validation Accuracy Flat-railtrack: 0.0
- Validation Accuracy Flat-curb: 0.4083
- Validation Accuracy Human-person: 0.1808
- Validation Accuracy Human-rider: 0.0
- Validation Accuracy Vehicle-car: 0.8966
- Validation Accuracy Vehicle-truck: 0.0
- Validation Accuracy Vehicle-bus: 0.0
- Validation Accuracy Vehicle-tramtrain: 0.0
- Validation Accuracy Vehicle-motorcycle: 0.0
- Validation Accuracy Vehicle-bicycle: 0.0302
- Validation Accuracy Vehicle-caravan: 0.0
- Validation Accuracy Vehicle-cartrailer: 0.0
- Validation Accuracy Construction-building: 0.8258
- Validation Accuracy Construction-door: 0.0
- Validation Accuracy Construction-wall: 0.4295
- Validation Accuracy Construction-fenceguardrail: 0.1430
- Validation Accuracy Construction-bridge: 0.0
- Validation Accuracy Construction-tunnel: nan
- Validation Accuracy Construction-stairs: 0.0
- Validation Accuracy Object-pole: 0.1887
- Validation Accuracy Object-trafficsign: 0.0
- Validation Accuracy Object-trafficlight: 0.0
- Validation Accuracy Nature-vegetation: 0.9264
- Validation Accuracy Nature-terrain: 0.8792
- Validation Accuracy Sky: 0.9344
- Validation Accuracy Void-ground: 0.0
- Validation Accuracy Void-dynamic: 0.0
- Validation Accuracy Void-static: 0.0994
- Validation Accuracy Void-unclear: 0.0
- Validation Iou Unlabeled: 0.0
- Validation Iou Flat-road: 0.7055
- Validation Iou Flat-sidewalk: 0.7848
- Validation Iou Flat-crosswalk: 0.2412
- Validation Iou Flat-cyclinglane: 0.6053
- Validation Iou Flat-parkingdriveway: 0.1344
- Validation Iou Flat-railtrack: 0.0
- Validation Iou Flat-curb: 0.2792
- Validation Iou Human-person: 0.1474
- Validation Iou Human-rider: 0.0
- Validation Iou Vehicle-car: 0.6877
- Validation Iou Vehicle-truck: 0.0
- Validation Iou Vehicle-bus: 0.0
- Validation Iou Vehicle-tramtrain: 0.0
- Validation Iou Vehicle-motorcycle: 0.0
- Validation Iou Vehicle-bicycle: 0.0300
- Validation Iou Vehicle-caravan: 0.0
- Validation Iou Vehicle-cartrailer: 0.0
- Validation Iou Construction-building: 0.6543
- Validation Iou Construction-door: 0.0
- Validation Iou Construction-wall: 0.2764
- Validation Iou Construction-fenceguardrail: 0.1375
- Validation Iou Construction-bridge: 0.0
- Validation Iou Construction-tunnel: nan
- Validation Iou Construction-stairs: 0.0
- Validation Iou Object-pole: 0.1618
- Validation Iou Object-trafficsign: 0.0
- Validation Iou Object-trafficlight: 0.0
- Validation Iou Nature-vegetation: 0.7966
- Validation Iou Nature-terrain: 0.6836
- Validation Iou Sky: 0.8907
- Validation Iou Void-ground: 0.0
- Validation Iou Void-dynamic: 0.0
- Validation Iou Void-static: 0.0720
- 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1.3460 | 0.8080 | 0.1890 | 0.2370 | 0.7800 | 0.0 | 0.8195 | 0.8988 | 0.5028 | 0.6983 | 0.3216 | 0.0 | 0.1968 | 0.0 | 0.0 | 0.8957 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8954 | 0.0 | 0.1679 | 0.0013 | 0.0 | nan | 0.0 | 0.0784 | 0.0 | 0.0 | 0.9140 | 0.7164 | 0.9459 | 0.0 | 0.0 | 0.0060 | 0.0 | 0.0 | 0.6639 | 0.7838 | 0.4360 | 0.5433 | 0.2195 | 0.0 | 0.1516 | 0.0 | 0.0 | 0.5792 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5803 | 0.0 | 0.1405 | 0.0013 | 0.0 | nan | 0.0 | 0.0742 | 0.0 | 0.0 | 0.7692 | 0.6373 | 0.8418 | 0.0 | 0.0 | 0.0056 | 0.0 | 0 |
0.8504 | 0.6735 | 0.2144 | 0.2583 | 0.8056 | 0.0 | 0.8118 | 0.9500 | 0.2562 | 0.6735 | 0.1499 | 0.0 | 0.4083 | 0.1808 | 0.0 | 0.8966 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0302 | 0.0 | 0.0 | 0.8258 | 0.0 | 0.4295 | 0.1430 | 0.0 | nan | 0.0 | 0.1887 | 0.0 | 0.0 | 0.9264 | 0.8792 | 0.9344 | 0.0 | 0.0 | 0.0994 | 0.0 | 0.0 | 0.7055 | 0.7848 | 0.2412 | 0.6053 | 0.1344 | 0.0 | 0.2792 | 0.1474 | 0.0 | 0.6877 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0300 | 0.0 | 0.0 | 0.6543 | 0.0 | 0.2764 | 0.1375 | 0.0 | nan | 0.0 | 0.1618 | 0.0 | 0.0 | 0.7966 | 0.6836 | 0.8907 | 0.0 | 0.0 | 0.0720 | 0.0 | 1 |
Framework versions
- Transformers 4.24.0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.2