Training in progress epoch 80

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: 0.0424
-- Train Dice Coef: 0.8818
-- Train Iou: 0.7904
-- Validation Loss: 0.0434
-- Validation Dice Coef: 0.8891
-- Validation Iou: 0.8015
+- Train Loss: 0.0419
+- Train Dice Coef: 0.8828
+- Train Iou: 0.7920
+- Validation Loss: 0.0431
+- Validation Dice Coef: 0.8901
+- Validation Iou: 0.8031
 - Train Lr: 1e-10
-- Epoch: 79
+- Epoch: 80
 
 ## Model description
 
@@ -127,6 +127,7 @@ The following hyperparameters were used during training:
 | 0.0418     | 0.8838          | 0.7935    | 0.0431          | 0.8897               | 0.8025         | 1e-10    | 77    |
 | 0.0425     | 0.8817          | 0.7901    | 0.0428          | 0.8898               | 0.8026         | 1e-10    | 78    |
 | 0.0424     | 0.8818          | 0.7904    | 0.0434          | 0.8891               | 0.8015         | 1e-10    | 79    |
+| 0.0419     | 0.8828          | 0.7920    | 0.0431          | 0.8901               | 0.8031         | 1e-10    | 80    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7adfdc45b6738fe2837ac8e6c765dc5bca9d08a892a6ea0f1a1db1120d25179c
+oid sha256:45bd9f185c0d9dadbe2b00ead25b3cef30decebba37f20d3d1e3e48e22ea4209
 size 15133664