Training in progress epoch 47

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: 0.0186
-- Train Dice Coef: 0.7804
-- Train Iou: 0.6521
-- Validation Loss: 0.0234
-- Validation Dice Coef: 0.8499
-- Validation Iou: 0.7430
+- Train Loss: 0.0187
+- Train Dice Coef: 0.7765
+- Train Iou: 0.6482
+- Validation Loss: 0.0235
+- Validation Dice Coef: 0.8486
+- Validation Iou: 0.7410
 - Train Lr: 1e-10
-- Epoch: 46
+- Epoch: 47
 
 ## Model description
 
@@ -94,6 +94,7 @@ The following hyperparameters were used during training:
 | 0.0185     | 0.7775          | 0.6493    | 0.0229          | 0.8518               | 0.7456         | 6.25e-10 | 44    |
 | 0.0187     | 0.7765          | 0.6487    | 0.0233          | 0.8491               | 0.7416         | 6.25e-10 | 45    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6bc688f4fe57caf7a29f07ebda6b5688ec535e4a43defe2bbe8be2dffb9212d3
+oid sha256:9ff7b8631557a78a5501ab40c123548496cfc989b5fec8195fe91c19358ce747
 size 15133664