Training in progress epoch 79

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: 0.0425
-- Train Dice Coef: 0.8817
-- Train Iou: 0.7901
-- Validation Loss: 0.0428
-- Validation Dice Coef: 0.8898
-- Validation Iou: 0.8026
+- 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 Lr: 1e-10
-- Epoch: 78
+- Epoch: 79
 
 ## Model description
 
@@ -126,6 +126,7 @@ The following hyperparameters were used during training:
 | 0.0423     | 0.8816          | 0.7904    | 0.0435          | 0.8894               | 0.8019         | 1e-10    | 76    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a237b397eb208029541f5308408e8416a3d06db6580f49aa878f18ef475c7604
+oid sha256:7adfdc45b6738fe2837ac8e6c765dc5bca9d08a892a6ea0f1a1db1120d25179c
 size 15133664