Training in progress epoch 28

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: 0.0456
-- Train Dice Coef: 0.8760
-- Train Iou: 0.7817
-- Validation Loss: 0.0439
-- Validation Dice Coef: 0.8884
-- Validation Iou: 0.8004
+- Train Loss: 0.0446
+- Train Dice Coef: 0.8790
+- Train Iou: 0.7860
+- Validation Loss: 0.0428
+- Validation Dice Coef: 0.8896
+- Validation Iou: 0.8024
 - Train Lr: 5e-06
-- Epoch: 27
+- Epoch: 28
 
 ## Model description
 
@@ -75,6 +75,7 @@ The following hyperparameters were used during training:
 | 0.0485     | 0.8703          | 0.7728    | 0.0439          | 0.8892               | 0.8018         | 5e-06    | 25    |
 | 0.0464     | 0.8755          | 0.7807    | 0.0433          | 0.8890               | 0.8015         | 5e-06    | 26    |
 | 0.0456     | 0.8760          | 0.7817    | 0.0439          | 0.8884               | 0.8004         | 5e-06    | 27    |
+| 0.0446     | 0.8790          | 0.7860    | 0.0428          | 0.8896               | 0.8024         | 5e-06    | 28    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:29fda8dde725576483d83ea8b53a4a8f2df7bf7a16eabb39e12b6a26b34f4e1b
+oid sha256:3d7d31d16845959c72cb3a682c9dab93944265f282aa7714fd3565e9a6d5d7e5
 size 15133664