Training in progress epoch 38
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- tf_model.h5 +1 -1
README.md
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@@ -14,24 +14,24 @@ probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) 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 Per Category Iou: [0. 0.
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- Validation Per Category Accuracy: [0. 0.
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- Epoch:
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## Model description
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0.88221105 0.16390116 0.69192941 0.42158038 0. nan
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0. 0.48403335 0.36038035 0. 0.94890589 0.90539437
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0.96853562 0.03844648 0.46371328 0.33603354 0. ] | 37 |
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### Framework versions
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.1915
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- Validation Loss: 0.6585
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- Validation Mean Iou: 0.3363
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- Validation Mean Accuracy: 0.4165
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- Validation Overall Accuracy: 0.8541
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- Validation Per Category Iou: [0. 0.73425746 0.86767757 0.51642012 0.54929322 0.33592131
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nan 0.48682863 0.51510526 0.15484811 0.83659915 0.00656619
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0. 0. 0.0101791 0.61002433 0. 0.
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0.72048415 0.13423101 0.4704484 0.36911608 0.02287893 nan
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0.00175316 0.397269 0.23985463 0. 0.85725197 0.8301346
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0.91914906 0.0115664 0.20195343 0.29960584 0. ]
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- Validation Per Category Accuracy: [0. 0.813902 0.96027158 0.62646143 0.65244904 0.456082
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nan 0.65327663 0.65031732 0.19285309 0.91732039 0.00823723
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0. nan 0.01059265 0.72306713 0. 0.
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0.89001466 0.15570204 0.60888206 0.43505313 0.02292264 nan
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0.00280348 0.48167913 0.32633914 0. 0.95320389 0.90922448
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0.96793836 0.01950869 0.51702552 0.37348128 0. ]
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- Epoch: 38
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## Model description
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0.88221105 0.16390116 0.69192941 0.42158038 0. nan
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0. 0.48403335 0.36038035 0. 0.94890589 0.90539437
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0.96853562 0.03844648 0.46371328 0.33603354 0. ] | 37 |
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| 0.1915 | 0.6585 | 0.3363 | 0.4165 | 0.8541 | [0. 0.73425746 0.86767757 0.51642012 0.54929322 0.33592131
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nan 0.48682863 0.51510526 0.15484811 0.83659915 0.00656619
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0. 0. 0.0101791 0.61002433 0. 0.
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0.72048415 0.13423101 0.4704484 0.36911608 0.02287893 nan
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0.00175316 0.397269 0.23985463 0. 0.85725197 0.8301346
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0.91914906 0.0115664 0.20195343 0.29960584 0. ] | [0. 0.813902 0.96027158 0.62646143 0.65244904 0.456082
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nan 0.65327663 0.65031732 0.19285309 0.91732039 0.00823723
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0. nan 0.01059265 0.72306713 0. 0.
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0.89001466 0.15570204 0.60888206 0.43505313 0.02292264 nan
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0.00280348 0.48167913 0.32633914 0. 0.95320389 0.90922448
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0.96793836 0.01950869 0.51702552 0.37348128 0. ] | 38 |
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### Framework versions
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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size 15167588
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