Training in progress epoch 5
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- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [nvidia/segformer-b3-finetuned-ade-512-512](https://huggingface.co/nvidia/segformer-b3-finetuned-ade-512-512) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.
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- Validation Loss: 0.
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- Validation Mean Iou: 0.
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- Validation Mean Accuracy: 0.
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- Validation Overall Accuracy: 0.
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- Validation Accuracy Clutter: 0.
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- Validation Accuracy Building: 0.
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- Validation Accuracy Road: 0.
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- Validation Accuracy Static Car: 0.
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- Validation Accuracy Tree: 0.
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- Validation Accuracy Vegetation: 0.
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- Validation Accuracy Human: 0.0
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- Validation Accuracy Moving Car: nan
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- Validation Iou Clutter: 0.
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- Validation Iou Building: 0.
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- Validation Iou Road: 0.
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- Validation Iou Static Car: 0.
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- Validation Iou Tree: 0.
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- Validation Iou Vegetation: 0.0000
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- Validation Iou Human: 0.0
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- Validation Iou Moving Car: 0.0
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- Epoch:
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## Model description
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| 0.5679 | 0.4969 | 0.0151 | 0.0710 | 0.0516 | 0.0295 | 0.0240 | 0.2164 | 0.0000 | 0.2230 | 0.0041 | 0.0 | nan | 0.0206 | 0.0039 | 0.0151 | 0.0000 | 0.0814 | 0.0000 | 0.0 | 0.0 | 2 |
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| 0.5010 | 0.4654 | 0.0135 | 0.0553 | 0.0499 | 0.0437 | 0.0160 | 0.1503 | 0.0000 | 0.1773 | 0.0 | 0.0 | nan | 0.0301 | 0.0026 | 0.0096 | 0.0000 | 0.0660 | 0.0 | 0.0 | 0.0 | 3 |
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| 0.4501 | 0.4507 | 0.0107 | 0.0504 | 0.0370 | 0.0343 | 0.0176 | 0.1737 | 0.0001 | 0.1191 | 0.0082 | 0.0 | nan | 0.0228 | 0.0028 | 0.0130 | 0.0001 | 0.0469 | 0.0000 | 0.0 | 0.0 | 4 |
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### Framework versions
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This model is a fine-tuned version of [nvidia/segformer-b3-finetuned-ade-512-512](https://huggingface.co/nvidia/segformer-b3-finetuned-ade-512-512) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.4229
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- Validation Loss: 0.4257
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- Validation Mean Iou: 0.0116
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- Validation Mean Accuracy: 0.0436
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- Validation Overall Accuracy: 0.0445
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- Validation Accuracy Clutter: 0.0515
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- Validation Accuracy Building: 0.0120
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- Validation Accuracy Road: 0.1162
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- Validation Accuracy Static Car: 0.0002
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- Validation Accuracy Tree: 0.1222
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- Validation Accuracy Vegetation: 0.0031
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- Validation Accuracy Human: 0.0
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- Validation Accuracy Moving Car: nan
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- Validation Iou Clutter: 0.0344
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- Validation Iou Building: 0.0020
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- Validation Iou Road: 0.0087
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- Validation Iou Static Car: 0.0002
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- Validation Iou Tree: 0.0471
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- Validation Iou Vegetation: 0.0000
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- Validation Iou Human: 0.0
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- Validation Iou Moving Car: 0.0
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- Epoch: 5
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## Model description
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| 0.5679 | 0.4969 | 0.0151 | 0.0710 | 0.0516 | 0.0295 | 0.0240 | 0.2164 | 0.0000 | 0.2230 | 0.0041 | 0.0 | nan | 0.0206 | 0.0039 | 0.0151 | 0.0000 | 0.0814 | 0.0000 | 0.0 | 0.0 | 2 |
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| 0.5010 | 0.4654 | 0.0135 | 0.0553 | 0.0499 | 0.0437 | 0.0160 | 0.1503 | 0.0000 | 0.1773 | 0.0 | 0.0 | nan | 0.0301 | 0.0026 | 0.0096 | 0.0000 | 0.0660 | 0.0 | 0.0 | 0.0 | 3 |
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| 0.4501 | 0.4507 | 0.0107 | 0.0504 | 0.0370 | 0.0343 | 0.0176 | 0.1737 | 0.0001 | 0.1191 | 0.0082 | 0.0 | nan | 0.0228 | 0.0028 | 0.0130 | 0.0001 | 0.0469 | 0.0000 | 0.0 | 0.0 | 4 |
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| 0.4229 | 0.4257 | 0.0116 | 0.0436 | 0.0445 | 0.0515 | 0.0120 | 0.1162 | 0.0002 | 0.1222 | 0.0031 | 0.0 | nan | 0.0344 | 0.0020 | 0.0087 | 0.0002 | 0.0471 | 0.0000 | 0.0 | 0.0 | 5 |
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### Framework versions
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tf_model.h5
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size 189768152
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version https://git-lfs.github.com/spec/v1
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size 189768152
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