Training in progress epoch 5

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: 0.0933
-- Train Dice Coef: 0.7745
-- Train Iou: 0.6399
-- Validation Loss: 0.0627
-- Validation Dice Coef: 0.8455
-- Validation Iou: 0.7351
+- Train Loss: 0.0886
+- Train Dice Coef: 0.7856
+- Train Iou: 0.6535
+- Validation Loss: 0.0584
+- Validation Dice Coef: 0.8603
+- Validation Iou: 0.7566
 - Train Lr: 1e-04
-- Epoch: 4
+- Epoch: 5
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.1105     | 0.7364          | 0.5924    | 0.0737          | 0.8147               | 0.6916         | 1e-04    | 2     |
 | 0.0985     | 0.7610          | 0.6226    | 0.0632          | 0.8518               | 0.7440         | 1e-04    | 3     |
 | 0.0933     | 0.7745          | 0.6399    | 0.0627          | 0.8455               | 0.7351         | 1e-04    | 4     |
+| 0.0886     | 0.7856          | 0.6535    | 0.0584          | 0.8603               | 0.7566         | 1e-04    | 5     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fa9ee5be962ce4e2ad0d2626939022babb94c042bc80ba9d8fdf28c9b34b248e
+oid sha256:075a502ffb1230a869e651c81a65bc62ce2a77671a87977a1cabde87c8ccb9d4
 size 15133664