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# 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: 0.5329
- Validation Loss: 0.5961
- Validation Mean Iou: 0.2857
- Validation Mean Accuracy: 0.3413
- Validation Overall Accuracy: 0.8332
- Validation Accuracy Unlabeled: 0.0
- Validation Accuracy Flat-road: 0.8783
- Validation Accuracy Flat-sidewalk: 0.9567
- Validation Accuracy Flat-crosswalk: 0.7888
- Validation Accuracy Flat-cyclinglane: 0.8232
- Validation Accuracy Flat-parkingdriveway: 0.3696
- Validation Accuracy Flat-railtrack: 0.0
- Validation Accuracy Flat-curb: 0.4602
- Validation Accuracy Human-person: 0.6458
- Validation Accuracy Human-rider: 0.0
- Validation Accuracy Vehicle-car: 0.9339
- 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: 0.6831
- Validation Accuracy Vehicle-caravan: nan
- Validation Accuracy Vehicle-cartrailer: 0.0
- Validation Accuracy Construction-building: 0.8091
- Validation Accuracy Construction-door: 0.0
- Validation Accuracy Construction-wall: 0.3499
- Validation Accuracy Construction-fenceguardrail: 0.3923
- Validation Accuracy Construction-bridge: 0.0
- Validation Accuracy Construction-tunnel: 0.0
- Validation Accuracy Construction-stairs: 0.0
- Validation Accuracy Object-pole: 0.2124
- Validation Accuracy Object-trafficsign: 0.0
- Validation Accuracy Object-trafficlight: 0.0
- Validation Accuracy Nature-vegetation: 0.9421
- Validation Accuracy Nature-terrain: 0.7701
- Validation Accuracy Sky: 0.9617
- Validation Accuracy Void-ground: 0.0
- Validation Accuracy Void-dynamic: 0.0074
- Validation Accuracy Void-static: 0.2785
- Validation Accuracy Void-unclear: 0.0
- Validation Iou Unlabeled: 0.0
- Validation Iou Flat-road: 0.7020
- Validation Iou Flat-sidewalk: 0.8633
- Validation Iou Flat-crosswalk: 0.7426
- Validation Iou Flat-cyclinglane: 0.7457
- Validation Iou Flat-parkingdriveway: 0.3175
- Validation Iou Flat-railtrack: 0.0
- Validation Iou Flat-curb: 0.3607
- Validation Iou Human-person: 0.4394
- Validation Iou Human-rider: 0.0
- Validation Iou Vehicle-car: 0.7684
- 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: 0.5431
- Validation Iou Vehicle-caravan: nan
- Validation Iou Vehicle-cartrailer: 0.0
- Validation Iou Construction-building: 0.5891
- Validation Iou Construction-door: 0.0
- Validation Iou Construction-wall: 0.2407
- Validation Iou Construction-fenceguardrail: 0.3126
- Validation Iou Construction-bridge: 0.0
- Validation Iou Construction-tunnel: 0.0
- Validation Iou Construction-stairs: 0.0
- Validation Iou Object-pole: 0.1653
- Validation Iou Object-trafficsign: 0.0
- Validation Iou Object-trafficlight: 0.0
- Validation Iou Nature-vegetation: 0.8403
- Validation Iou Nature-terrain: 0.6903
- Validation Iou Sky: 0.9112
- Validation Iou Void-ground: 0.0
- Validation Iou Void-dynamic: 0.0074
- Validation Iou Void-static: 0.1899
- 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 |
|:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:-----------------------------:|:-----------------------------:|:---------------------------------:|:----------------------------------:|:------------------------------------:|:----------------------------------------:|:----------------------------------:|:-----------------------------:|:--------------------------------:|:-------------------------------:|:-------------------------------:|:---------------------------------:|:-------------------------------:|:-------------------------------------:|:--------------------------------------:|:-----------------------------------:|:-----------------------------------:|:--------------------------------------:|:-----------------------------------------:|:-------------------------------------:|:-------------------------------------:|:-----------------------------------------------:|:---------------------------------------:|:---------------------------------------:|:---------------------------------------:|:-------------------------------:|:--------------------------------------:|:---------------------------------------:|:-------------------------------------:|:----------------------------------:|:-----------------------:|:-------------------------------:|:--------------------------------:|:-------------------------------:|:--------------------------------:|:------------------------:|:------------------------:|:----------------------------:|:-----------------------------:|:-------------------------------:|:-----------------------------------:|:-----------------------------:|:------------------------:|:---------------------------:|:--------------------------:|:--------------------------:|:----------------------------:|:--------------------------:|:--------------------------------:|:---------------------------------:|:------------------------------:|:------------------------------:|:---------------------------------:|:------------------------------------:|:--------------------------------:|:--------------------------------:|:------------------------------------------:|:----------------------------------:|:----------------------------------:|:----------------------------------:|:--------------------------:|:---------------------------------:|:----------------------------------:|:--------------------------------:|:-----------------------------:|:------------------:|:--------------------------:|:---------------------------:|:--------------------------:|:---------------------------:|:-----:|
| 0.5329     | 0.5961          | 0.2857              | 0.3413                   | 0.8332                      | 0.0                           | 0.8783                        | 0.9567                            | 0.7888                             | 0.8232                               | 0.3696                                   | 0.0                                | 0.4602                        | 0.6458                           | 0.0                             | 0.9339                          | 0.0                               | nan                             | 0.0                                   | 0.0                                    | 0.6831                              | nan                                 | 0.0                                    | 0.8091                                    | 0.0                                   | 0.3499                                | 0.3923                                          | 0.0                                     | 0.0                                     | 0.0                                     | 0.2124                          | 0.0                                    | 0.0                                     | 0.9421                                | 0.7701                             | 0.9617                  | 0.0                             | 0.0074                           | 0.2785                          | 0.0                              | 0.0                      | 0.7020                   | 0.8633                       | 0.7426                        | 0.7457                          | 0.3175                              | 0.0                           | 0.3607                   | 0.4394                      | 0.0                        | 0.7684                     | 0.0                          | nan                        | 0.0                              | 0.0                               | 0.5431                         | nan                            | 0.0                               | 0.5891                               | 0.0                              | 0.2407                           | 0.3126                                     | 0.0                                | 0.0                                | 0.0                                | 0.1653                     | 0.0                               | 0.0                                | 0.8403                           | 0.6903                        | 0.9112             | 0.0                        | 0.0074                      | 0.1899                     | 0.0                         | 0     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.14.0
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "other", "tags": ["generated_from_keras_callback"], "base_model": "nvidia/mit-b0", "model-index": [{"name": "gojonumbertwo/mit-b0-finetuned-sidewalks", "results": []}]}
transformers tf segformer generated_from_keras_callback base_model:nvidia/mit-b0 license:other endpoints_compatible region:us