Training in progress epoch 43

README.md

@@ -15,13 +15,13 @@ 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: 0.8832
-- Train Iou: 0.7926
-- Validation Loss: 0.0433
-- Validation Dice Coef: 0.8893
-- Validation Iou: 0.8019
+- Train Dice Coef: 0.8830
+- Train Iou: 0.7922
+- Validation Loss: 0.0436
+- Validation Dice Coef: 0.8886
+- Validation Iou: 0.8008
 - Train Lr: 1.25e-08
-- Epoch: 42
+- Epoch: 43
 
 ## Model description
 
@@ -90,6 +90,7 @@ The following hyperparameters were used during training:
 | 0.0422     | 0.8824          | 0.7914    | 0.0427          | 0.8897               | 0.8024         | 1.25e-08 | 40    |
 | 0.0426     | 0.8824          | 0.7913    | 0.0431          | 0.8900               | 0.8030         | 1.25e-08 | 41    |
 | 0.0424     | 0.8832          | 0.7926    | 0.0433          | 0.8893               | 0.8019         | 1.25e-08 | 42    |
+| 0.0424     | 0.8830          | 0.7922    | 0.0436          | 0.8886               | 0.8008         | 1.25e-08 | 43    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:03f0614d1322dbfe966fddc2a372334d85942b0a963dc79eccbcea055475f5e8
+oid sha256:092a8b20d3925ce61932d173501a55ee9a2360a4c67dd6e919f515f0539f7a2e
 size 15133664