Model save

README.md

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+---
+license: other
+base_model: nvidia/mit-b0
+tags:
+- generated_from_trainer
+model-index:
+- name: segformer-finetuned-sidewalk-10k-steps
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# segformer-finetuned-sidewalk-10k-steps
+
+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:
+- Loss: 2.3528
+- Mean Iou: 0.0705
+- Mean Accuracy: 0.1115
+- Overall Accuracy: 0.5632
+- Accuracy Unlabeled: nan
+- Accuracy Flat-road: 0.5861
+- Accuracy Flat-sidewalk: 0.8653
+- Accuracy Flat-crosswalk: 0.0
+- Accuracy Flat-cyclinglane: 0.0136
+- Accuracy Flat-parkingdriveway: 0.0078
+- Accuracy Flat-railtrack: 0.0
+- Accuracy Flat-curb: 0.0
+- Accuracy Human-person: 0.0
+- Accuracy Human-rider: 0.0
+- Accuracy Vehicle-car: 0.0737
+- Accuracy Vehicle-truck: 0.0
+- Accuracy Vehicle-bus: 0.0
+- Accuracy Vehicle-tramtrain: 0.0
+- Accuracy Vehicle-motorcycle: 0.0
+- Accuracy Vehicle-bicycle: 0.0
+- Accuracy Vehicle-caravan: 0.0
+- Accuracy Vehicle-cartrailer: 0.0
+- Accuracy Construction-building: 0.9444
+- Accuracy Construction-door: 0.0
+- Accuracy Construction-wall: 0.0012
+- Accuracy Construction-fenceguardrail: 0.0000
+- Accuracy Construction-bridge: 0.0
+- Accuracy Construction-tunnel: nan
+- Accuracy Construction-stairs: 0.0
+- Accuracy Object-pole: 0.0
+- Accuracy Object-trafficsign: 0.0
+- Accuracy Object-trafficlight: 0.0
+- Accuracy Nature-vegetation: 0.8841
+- Accuracy Nature-terrain: 0.2830
+- Accuracy Sky: 0.0216
+- Accuracy Void-ground: 0.0
+- Accuracy Void-dynamic: 0.0
+- Accuracy Void-static: 0.0
+- Accuracy Void-unclear: 0.0
+- Iou Unlabeled: nan
+- Iou Flat-road: 0.3993
+- Iou Flat-sidewalk: 0.6672
+- Iou Flat-crosswalk: 0.0
+- Iou Flat-cyclinglane: 0.0135
+- Iou Flat-parkingdriveway: 0.0076
+- Iou Flat-railtrack: 0.0
+- Iou Flat-curb: 0.0
+- Iou Human-person: 0.0
+- Iou Human-rider: 0.0
+- Iou Vehicle-car: 0.0712
+- Iou Vehicle-truck: 0.0
+- Iou Vehicle-bus: 0.0
+- Iou Vehicle-tramtrain: 0.0
+- Iou Vehicle-motorcycle: 0.0
+- Iou Vehicle-bicycle: 0.0
+- Iou Vehicle-caravan: 0.0
+- Iou Vehicle-cartrailer: 0.0
+- Iou Construction-building: 0.2455
+- Iou Construction-door: 0.0
+- Iou Construction-wall: 0.0011
+- Iou Construction-fenceguardrail: 0.0000
+- Iou Construction-bridge: 0.0
+- Iou Construction-tunnel: nan
+- Iou Construction-stairs: 0.0
+- Iou Object-pole: 0.0
+- Iou Object-trafficsign: 0.0
+- Iou Object-trafficlight: 0.0
+- Iou Nature-vegetation: 0.6484
+- Iou Nature-terrain: 0.2515
+- Iou Sky: 0.0216
+- Iou Void-ground: 0.0
+- Iou Void-dynamic: 0.0
+- Iou Void-static: 0.0
+- Iou Void-unclear: 0.0
+
+## 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:
+- learning_rate: 6e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 1337
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: polynomial
+- training_steps: 100
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Unlabeled | Accuracy Flat-road | Accuracy Flat-sidewalk | Accuracy Flat-crosswalk | Accuracy Flat-cyclinglane | Accuracy Flat-parkingdriveway | Accuracy Flat-railtrack | Accuracy Flat-curb | Accuracy Human-person | Accuracy Human-rider | Accuracy Vehicle-car | Accuracy Vehicle-truck | Accuracy Vehicle-bus | Accuracy Vehicle-tramtrain | Accuracy Vehicle-motorcycle | Accuracy Vehicle-bicycle | Accuracy Vehicle-caravan | Accuracy Vehicle-cartrailer | Accuracy Construction-building | Accuracy Construction-door | Accuracy Construction-wall | Accuracy Construction-fenceguardrail | Accuracy Construction-bridge | Accuracy Construction-tunnel | Accuracy Construction-stairs | Accuracy Object-pole | Accuracy Object-trafficsign | Accuracy Object-trafficlight | Accuracy Nature-vegetation | Accuracy Nature-terrain | Accuracy Sky | Accuracy Void-ground | Accuracy Void-dynamic | Accuracy Void-static | Accuracy Void-unclear | Iou Unlabeled | Iou Flat-road | Iou Flat-sidewalk | Iou Flat-crosswalk | Iou Flat-cyclinglane | Iou Flat-parkingdriveway | Iou Flat-railtrack | Iou Flat-curb | Iou Human-person | Iou Human-rider | Iou Vehicle-car | Iou Vehicle-truck | Iou Vehicle-bus | Iou Vehicle-tramtrain | Iou Vehicle-motorcycle | Iou Vehicle-bicycle | Iou Vehicle-caravan | Iou Vehicle-cartrailer | Iou Construction-building | Iou Construction-door | Iou Construction-wall | Iou Construction-fenceguardrail | Iou Construction-bridge | Iou Construction-tunnel | Iou Construction-stairs | Iou Object-pole | Iou Object-trafficsign | Iou Object-trafficlight | Iou Nature-vegetation | Iou Nature-terrain | Iou Sky | Iou Void-ground | Iou Void-dynamic | Iou Void-static | Iou Void-unclear |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------:|:------------------:|:----------------------:|:-----------------------:|:-------------------------:|:-----------------------------:|:-----------------------:|:------------------:|:---------------------:|:--------------------:|:--------------------:|:----------------------:|:--------------------:|:--------------------------:|:---------------------------:|:------------------------:|:------------------------:|:---------------------------:|:------------------------------:|:--------------------------:|:--------------------------:|:------------------------------------:|:----------------------------:|:----------------------------:|:----------------------------:|:--------------------:|:---------------------------:|:----------------------------:|:--------------------------:|:-----------------------:|:------------:|:--------------------:|:---------------------:|:--------------------:|:---------------------:|:-------------:|:-------------:|:-----------------:|:------------------:|:--------------------:|:------------------------:|:------------------:|:-------------:|:----------------:|:---------------:|:---------------:|:-----------------:|:---------------:|:---------------------:|:----------------------:|:-------------------:|:-------------------:|:----------------------:|:-------------------------:|:---------------------:|:---------------------:|:-------------------------------:|:-----------------------:|:-----------------------:|:-----------------------:|:---------------:|:----------------------:|:-----------------------:|:---------------------:|:------------------:|:-------:|:---------------:|:----------------:|:---------------:|:----------------:|
+| 2.8114        | 0.93  | 100  | 2.3528          | 0.0705   | 0.1115        | 0.5632           | nan                | 0.5861             | 0.8653                 | 0.0                     | 0.0136                    | 0.0078                        | 0.0                     | 0.0                | 0.0                   | 0.0                  | 0.0737               | 0.0                    | 0.0                  | 0.0                        | 0.0                         | 0.0                      | 0.0                      | 0.0                         | 0.9444                         | 0.0                        | 0.0012                     | 0.0000                               | 0.0                          | nan                          | 0.0                          | 0.0                  | 0.0                         | 0.0                          | 0.8841                     | 0.2830                  | 0.0216       | 0.0                  | 0.0                   | 0.0                  | 0.0                   | nan           | 0.3993        | 0.6672            | 0.0                | 0.0135               | 0.0076                   | 0.0                | 0.0           | 0.0              | 0.0             | 0.0712          | 0.0               | 0.0             | 0.0                   | 0.0                    | 0.0                 | 0.0                 | 0.0                    | 0.2455                    | 0.0                   | 0.0011                | 0.0000                          | 0.0                     | nan                     | 0.0                     | 0.0             | 0.0                    | 0.0                     | 0.6484                | 0.2515             | 0.0216  | 0.0             | 0.0              | 0.0             | 0.0              |
+
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 2.0.0+cpu
+- Datasets 2.15.0
+- Tokenizers 0.15.0