Training in progress epoch 20

README.md

@@ -14,14 +14,14 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0564
-- Train Dice Coef: 0.8310
-- Train Iou: 0.7242
-- Validation Loss: 0.0461
-- Validation Dice Coef: 0.8830
-- Validation Iou: 0.7915
+- Train Loss: 0.0567
+- Train Dice Coef: 0.8330
+- Train Iou: 0.7271
+- Validation Loss: 0.0455
+- Validation Dice Coef: 0.8828
+- Validation Iou: 0.7910
 - Train Lr: 5e-06
-- Epoch: 19
+- Epoch: 20
 
 ## Model description
 
@@ -67,6 +67,7 @@ The following hyperparameters were used during training:
 | 0.0576     | 0.8214          | 0.7134    | 0.0459          | 0.8838               | 0.7927         | 5e-06    | 17    |
 | 0.0577     | 0.8161          | 0.7082    | 0.0458          | 0.8838               | 0.7927         | 5e-06    | 18    |
 | 0.0564     | 0.8310          | 0.7242    | 0.0461          | 0.8830               | 0.7915         | 5e-06    | 19    |
+| 0.0567     | 0.8330          | 0.7271    | 0.0455          | 0.8828               | 0.7910         | 5e-06    | 20    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b528c7f7d11dc068665de30eb83b214e5d12012a703ab1b6f36dcf910f4b58a4
+oid sha256:7f6e7150c6567451aaf876884db9b307bc7e5d958535fa5002bf02d687ea6634
 size 15133664