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Training in progress epoch 7

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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: 0.1943
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- - Validation Loss: 0.1820
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- - Validation Mean Iou: 0.6721
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- - Validation Mean Accuracy: 0.7704
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- - Validation Overall Accuracy: 0.9559
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- - Validation Accuracy Unlabeled: 0.4301
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- - Validation Accuracy Objeto Interes: 0.8964
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- - Validation Accuracy Agua: 0.9847
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- - Validation Iou Unlabeled: 0.3423
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- - Validation Iou Objeto Interes: 0.7083
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- - Validation Iou Agua: 0.9658
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- - Epoch: 6
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  ## Model description
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@@ -59,6 +59,7 @@ The following hyperparameters were used during training:
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  | 0.2383 | 0.2245 | 0.6401 | 0.7568 | 0.9469 | 0.4203 | 0.8735 | 0.9767 | 0.2975 | 0.6644 | 0.9586 | 4 |
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  | 0.2075 | 0.2243 | 0.6606 | 0.7809 | 0.9501 | 0.4690 | 0.8975 | 0.9764 | 0.3332 | 0.6879 | 0.9608 | 5 |
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  | 0.1943 | 0.1820 | 0.6721 | 0.7704 | 0.9559 | 0.4301 | 0.8964 | 0.9847 | 0.3423 | 0.7083 | 0.9658 | 6 |
 
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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: 0.1835
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+ - Validation Loss: 0.2237
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+ - Validation Mean Iou: 0.6866
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+ - Validation Mean Accuracy: 0.8243
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+ - Validation Overall Accuracy: 0.9510
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+ - Validation Accuracy Unlabeled: 0.5945
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+ - Validation Accuracy Objeto Interes: 0.9077
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+ - Validation Accuracy Agua: 0.9707
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+ - Validation Iou Unlabeled: 0.3844
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+ - Validation Iou Objeto Interes: 0.7151
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+ - Validation Iou Agua: 0.9601
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+ - Epoch: 7
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  ## Model description
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  | 0.2383 | 0.2245 | 0.6401 | 0.7568 | 0.9469 | 0.4203 | 0.8735 | 0.9767 | 0.2975 | 0.6644 | 0.9586 | 4 |
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  | 0.2075 | 0.2243 | 0.6606 | 0.7809 | 0.9501 | 0.4690 | 0.8975 | 0.9764 | 0.3332 | 0.6879 | 0.9608 | 5 |
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  | 0.1943 | 0.1820 | 0.6721 | 0.7704 | 0.9559 | 0.4301 | 0.8964 | 0.9847 | 0.3423 | 0.7083 | 0.9658 | 6 |
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+ | 0.1835 | 0.2237 | 0.6866 | 0.8243 | 0.9510 | 0.5945 | 0.9077 | 0.9707 | 0.3844 | 0.7151 | 0.9601 | 7 |
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  ### Framework versions
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