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update model card README.md
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README.md
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---
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license: other
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tags:
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- generated_from_trainer
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model-index:
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- name: segformer-b0-finetuned-segments-sidewalk-2
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results: []
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# segformer-b0-finetuned-segments-sidewalk-2
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Mean Iou: 0.
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- Mean Accuracy: 0.
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- Overall Accuracy: 0.
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- Per Category Iou: [nan, 0.
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- Per Category Accuracy: [nan, 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou
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| 1.
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### Framework versions
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---
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license: other
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tags:
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- vision
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- semantic-segmentation
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- generated_from_trainer
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datasets:
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- ds_tag1
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- ds_tag2
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model-index:
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- name: segformer-b0-finetuned-segments-sidewalk-2
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results: []
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# segformer-b0-finetuned-segments-sidewalk-2
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the segments/sidewalk-semantic dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6449
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- Mean Iou: 0.1548
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- Mean Accuracy: 0.2076
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- Overall Accuracy: 0.7095
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- Per Category Iou: [nan, 0.5140599138533896, 0.7174504614949924, 0.0, 0.2891488100731331, 0.0017519579090739337, nan, 2.896471421964715e-05, 0.0, 0.0, 0.572608873148249, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, 0.5022343403146414, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.7363557838688449, 0.5136205023614682, 0.7964013451546083, 0.0, 0.0, 0.0, 0.0]
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- Per Category Accuracy: [nan, 0.8064241561480351, 0.9062036975406429, 0.0, 0.30153947289328054, 0.0017733699866858271, nan, 2.8972126882463944e-05, 0.0, 0.0, 0.8850507869466231, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, 0.8639780836322506, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.9144389240012535, 0.668388685537115, 0.8810818896148822, 0.0, 0.0, 0.0, 0.0]
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou | Per Category Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
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| 1.9382 | 0.5 | 100 | 1.8048 | 0.1339 | 0.1853 | 0.6789 | [nan, 0.4752344017185758, 0.694067134540047, 0.0, 0.12409993164299513, 0.0008311245506368295, nan, 0.0013254481219605065, 0.0, 0.0, 0.5409277406718473, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, 0.4841581403327513, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.690024139245331, 0.2320795469313362, 0.7749690806204844, 0.0, 0.0, 0.0, 0.0] | [nan, 0.7639758158865736, 0.8976245985998512, 0.0, 0.12474373026419283, 0.0008415168706412761, nan, 0.0013278891487795974, 0.0, 0.0, 0.880573362170307, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, 0.8526119656818829, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.9393214014210579, 0.26355731572405905, 0.8357039981550286, 0.0, 0.0, 0.0, 0.0] |
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| 1.5173 | 1.0 | 200 | 1.6449 | 0.1548 | 0.2076 | 0.7095 | [nan, 0.5140599138533896, 0.7174504614949924, 0.0, 0.2891488100731331, 0.0017519579090739337, nan, 2.896471421964715e-05, 0.0, 0.0, 0.572608873148249, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, 0.5022343403146414, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.7363557838688449, 0.5136205023614682, 0.7964013451546083, 0.0, 0.0, 0.0, 0.0] | [nan, 0.8064241561480351, 0.9062036975406429, 0.0, 0.30153947289328054, 0.0017733699866858271, nan, 2.8972126882463944e-05, 0.0, 0.0, 0.8850507869466231, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, 0.8639780836322506, 0.0, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.0, 0.9144389240012535, 0.668388685537115, 0.8810818896148822, 0.0, 0.0, 0.0, 0.0] |
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### Framework versions
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