Training in progress epoch 49

README.md

@@ -15,13 +15,13 @@ 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: 0.0187
-- Train Dice Coef: 0.7777
-- Train Iou: 0.6497
-- Validation Loss: 0.0233
-- Validation Dice Coef: 0.8493
-- Validation Iou: 0.7419
+- Train Dice Coef: 0.7785
+- Train Iou: 0.6498
+- Validation Loss: 0.0230
+- Validation Dice Coef: 0.8502
+- Validation Iou: 0.7432
 - Train Lr: 1e-10
-- Epoch: 48
+- Epoch: 49
 
 ## Model description
 
@@ -96,6 +96,7 @@ The following hyperparameters were used during training:
 | 0.0186     | 0.7804          | 0.6521    | 0.0234          | 0.8499               | 0.7430         | 1e-10    | 46    |
 | 0.0187     | 0.7765          | 0.6482    | 0.0235          | 0.8486               | 0.7410         | 1e-10    | 47    |
 | 0.0187     | 0.7777          | 0.6497    | 0.0233          | 0.8493               | 0.7419         | 1e-10    | 48    |
+| 0.0187     | 0.7785          | 0.6498    | 0.0230          | 0.8502               | 0.7432         | 1e-10    | 49    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:aa59ced324bf77f1280f68e125fefc20f035b7d5012d4dc9e1f1c64662407e6e
+oid sha256:64abcb692219244418545a7404a925c9237f35f86ea7b46b68d0220b81338f5c
 size 15133664