AhamadShaik commited on
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Training in progress epoch 18

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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: 0.0633
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- - Train Dice Coef: 0.8381
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- - Train Iou: 0.7262
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- - Validation Loss: 0.0487
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- - Validation Dice Coef: 0.8797
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- - Validation Iou: 0.7868
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  - Train Lr: 1e-04
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- - Epoch: 17
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  ## Model description
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@@ -65,6 +65,7 @@ The following hyperparameters were used during training:
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  | 0.0573 | 0.8525 | 0.7458 | 0.0474 | 0.8817 | 0.7897 | 1e-04 | 15 |
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  | 0.0565 | 0.8520 | 0.7456 | 0.0459 | 0.8850 | 0.7948 | 1e-04 | 16 |
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  | 0.0633 | 0.8381 | 0.7262 | 0.0487 | 0.8797 | 0.7868 | 1e-04 | 17 |
 
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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: 0.0558
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+ - Train Dice Coef: 0.8544
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+ - Train Iou: 0.7489
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+ - Validation Loss: 0.0476
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+ - Validation Dice Coef: 0.8828
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+ - Validation Iou: 0.7917
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  - Train Lr: 1e-04
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+ - Epoch: 18
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  ## Model description
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  | 0.0573 | 0.8525 | 0.7458 | 0.0474 | 0.8817 | 0.7897 | 1e-04 | 15 |
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  | 0.0565 | 0.8520 | 0.7456 | 0.0459 | 0.8850 | 0.7948 | 1e-04 | 16 |
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  | 0.0633 | 0.8381 | 0.7262 | 0.0487 | 0.8797 | 0.7868 | 1e-04 | 17 |
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+ | 0.0558 | 0.8544 | 0.7489 | 0.0476 | 0.8828 | 0.7917 | 1e-04 | 18 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 15133664
 
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