AhamadShaik commited on
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Training in progress epoch 30

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  1. README.md +8 -7
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,14 +14,14 @@ 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: 0.0443
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- - Train Dice Coef: 0.8786
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- - Train Iou: 0.7855
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- - Validation Loss: 0.0426
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- - Validation Dice Coef: 0.8905
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- - Validation Iou: 0.8038
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  - Train Lr: 5e-06
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- - Epoch: 29
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  ## Model description
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@@ -77,6 +77,7 @@ The following hyperparameters were used during training:
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  | 0.0456 | 0.8760 | 0.7817 | 0.0439 | 0.8884 | 0.8004 | 5e-06 | 27 |
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  | 0.0446 | 0.8790 | 0.7860 | 0.0428 | 0.8896 | 0.8024 | 5e-06 | 28 |
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  | 0.0443 | 0.8786 | 0.7855 | 0.0426 | 0.8905 | 0.8038 | 5e-06 | 29 |
 
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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: 0.0439
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+ - Train Dice Coef: 0.8795
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+ - Train Iou: 0.7867
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+ - Validation Loss: 0.0439
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+ - Validation Dice Coef: 0.8881
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+ - Validation Iou: 0.7999
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  - Train Lr: 5e-06
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+ - Epoch: 30
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  ## Model description
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  | 0.0456 | 0.8760 | 0.7817 | 0.0439 | 0.8884 | 0.8004 | 5e-06 | 27 |
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  | 0.0446 | 0.8790 | 0.7860 | 0.0428 | 0.8896 | 0.8024 | 5e-06 | 28 |
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  | 0.0443 | 0.8786 | 0.7855 | 0.0426 | 0.8905 | 0.8038 | 5e-06 | 29 |
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+ | 0.0439 | 0.8795 | 0.7867 | 0.0439 | 0.8881 | 0.7999 | 5e-06 | 30 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 15133664
 
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