AhamadShaik commited on
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Training in progress epoch 69

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  1. README.md +6 -5
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -16,12 +16,12 @@ This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvi
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  It achieves the following results on the evaluation set:
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  - Train Loss: 0.0161
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  - Train Dice Coef: 0.8047
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- - Train Iou: 0.6812
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- - Validation Loss: 0.0226
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- - Validation Dice Coef: 0.8566
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- - Validation Iou: 0.7513
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  - Train Lr: 1e-10
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- - Epoch: 68
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  ## Model description
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@@ -116,6 +116,7 @@ The following hyperparameters were used during training:
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  | 0.0161 | 0.8030 | 0.6795 | 0.0226 | 0.8570 | 0.7520 | 1e-10 | 66 |
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  | 0.0163 | 0.8046 | 0.6813 | 0.0223 | 0.8579 | 0.7534 | 1e-10 | 67 |
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  | 0.0161 | 0.8047 | 0.6812 | 0.0226 | 0.8566 | 0.7513 | 1e-10 | 68 |
 
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  ### Framework versions
 
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  It achieves the following results on the evaluation set:
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  - Train Loss: 0.0161
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  - Train Dice Coef: 0.8047
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+ - Train Iou: 0.6813
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+ - Validation Loss: 0.0230
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+ - Validation Dice Coef: 0.8564
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+ - Validation Iou: 0.7510
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  - Train Lr: 1e-10
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+ - Epoch: 69
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  ## Model description
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  | 0.0161 | 0.8030 | 0.6795 | 0.0226 | 0.8570 | 0.7520 | 1e-10 | 66 |
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  | 0.0163 | 0.8046 | 0.6813 | 0.0223 | 0.8579 | 0.7534 | 1e-10 | 67 |
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  | 0.0161 | 0.8047 | 0.6812 | 0.0226 | 0.8566 | 0.7513 | 1e-10 | 68 |
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+ | 0.0161 | 0.8047 | 0.6813 | 0.0230 | 0.8564 | 0.7510 | 1e-10 | 69 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 15133664
 
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  size 15133664