Training in progress epoch 6

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: 0.0930
-- Train Dice Coef: 0.7373
-- Train Iou: 0.6042
-- Validation Loss: 0.1618
-- Validation Dice Coef: 0.5048
-- Validation Iou: 0.3614
+- Train Loss: 0.0878
+- Train Dice Coef: 0.7534
+- Train Iou: 0.6255
+- Validation Loss: 0.1023
+- Validation Dice Coef: 0.7076
+- Validation Iou: 0.5637
 - Train Lr: 1e-04
-- Epoch: 5
+- Epoch: 6
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.1109     | 0.6903          | 0.5511    | 0.1319          | 0.5634               | 0.4072         | 1e-04    | 3     |
 | 0.1018     | 0.7226          | 0.5858    | 0.0932          | 0.7480               | 0.6051         | 1e-04    | 4     |
 | 0.0930     | 0.7373          | 0.6042    | 0.1618          | 0.5048               | 0.3614         | 1e-04    | 5     |
+| 0.0878     | 0.7534          | 0.6255    | 0.1023          | 0.7076               | 0.5637         | 1e-04    | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:970b665107e6d218d860f33aea5bb1e7410f4b0c889b7907f5d3651f78b25b6c
 size 15133664