Training in progress epoch 61

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: 0.0421
-- Train Dice Coef: 0.8830
-- Train Iou: 0.7921
-- Validation Loss: 0.0429
-- Validation Dice Coef: 0.8900
-- Validation Iou: 0.8029
+- Train Loss: 0.0420
+- Train Dice Coef: 0.8834
+- Train Iou: 0.7927
+- Validation Loss: 0.0433
+- Validation Dice Coef: 0.8888
+- Validation Iou: 0.8010
 - Train Lr: 1e-10
-- Epoch: 60
+- Epoch: 61
 
 ## Model description
 
@@ -108,6 +108,7 @@ The following hyperparameters were used during training:
 | 0.0420     | 0.8818          | 0.7906    | 0.0428          | 0.8903               | 0.8035         | 1e-10    | 58    |
 | 0.0416     | 0.8845          | 0.7945    | 0.0434          | 0.8889               | 0.8012         | 1e-10    | 59    |
 | 0.0421     | 0.8830          | 0.7921    | 0.0429          | 0.8900               | 0.8029         | 1e-10    | 60    |
+| 0.0420     | 0.8834          | 0.7927    | 0.0433          | 0.8888               | 0.8010         | 1e-10    | 61    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9a87352496b9666cbefc393fbf1abfff1b4b5e7a988b8ee776a1f6333d1a95cf
+oid sha256:aefe0c61a917163620a70504b24ab53e6e91cd37b6772341986f759dbff6dac8
 size 15133664