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Training in progress epoch 23

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  1. README.md +13 -12
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,18 +15,18 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [nvidia/mit-b1](https://huggingface.co/nvidia/mit-b1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.1031
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- - Validation Loss: 0.1045
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- - Validation Mean Iou: 0.7511
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- - Validation Mean Accuracy: 0.8522
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- - Validation Overall Accuracy: 0.9668
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- - Validation Accuracy Unlabeled: 0.6398
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- - Validation Accuracy Objeto Interes: 0.9323
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- - Validation Accuracy Agua: 0.9846
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- - Validation Iou Unlabeled: 0.4911
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- - Validation Iou Objeto Interes: 0.7878
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- - Validation Iou Agua: 0.9743
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- - Epoch: 22
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  ## Model description
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@@ -75,6 +75,7 @@ The following hyperparameters were used during training:
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  | 0.1101 | 0.1157 | 0.7590 | 0.8657 | 0.9664 | 0.7130 | 0.9015 | 0.9827 | 0.5107 | 0.7928 | 0.9733 | 20 |
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  | 0.1045 | 0.1099 | 0.7513 | 0.8565 | 0.9664 | 0.6570 | 0.9288 | 0.9835 | 0.4959 | 0.7841 | 0.9739 | 21 |
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  | 0.1031 | 0.1045 | 0.7511 | 0.8522 | 0.9668 | 0.6398 | 0.9323 | 0.9846 | 0.4911 | 0.7878 | 0.9743 | 22 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [nvidia/mit-b1](https://huggingface.co/nvidia/mit-b1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.1038
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+ - Validation Loss: 0.1245
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+ - Validation Mean Iou: 0.7335
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+ - Validation Mean Accuracy: 0.8535
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+ - Validation Overall Accuracy: 0.9628
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+ - Validation Accuracy Unlabeled: 0.6322
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+ - Validation Accuracy Objeto Interes: 0.9488
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+ - Validation Accuracy Agua: 0.9794
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+ - Validation Iou Unlabeled: 0.4609
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+ - Validation Iou Objeto Interes: 0.7683
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+ - Validation Iou Agua: 0.9713
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+ - Epoch: 23
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  ## Model description
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  | 0.1101 | 0.1157 | 0.7590 | 0.8657 | 0.9664 | 0.7130 | 0.9015 | 0.9827 | 0.5107 | 0.7928 | 0.9733 | 20 |
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  | 0.1045 | 0.1099 | 0.7513 | 0.8565 | 0.9664 | 0.6570 | 0.9288 | 0.9835 | 0.4959 | 0.7841 | 0.9739 | 21 |
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  | 0.1031 | 0.1045 | 0.7511 | 0.8522 | 0.9668 | 0.6398 | 0.9323 | 0.9846 | 0.4911 | 0.7878 | 0.9743 | 22 |
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+ | 0.1038 | 0.1245 | 0.7335 | 0.8535 | 0.9628 | 0.6322 | 0.9488 | 0.9794 | 0.4609 | 0.7683 | 0.9713 | 23 |
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  ### Framework versions
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