Training in progress epoch 1

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: 0.1460
-- Train Dice Coef: 0.3657
-- Train Iou: 0.2410
-- Validation Loss: 0.0908
-- Validation Dice Coef: 0.4603
-- Validation Iou: 0.3168
+- Train Loss: 0.0610
+- Train Dice Coef: 0.5251
+- Train Iou: 0.3760
+- Validation Loss: 0.1773
+- Validation Dice Coef: 0.1542
+- Validation Iou: 0.0892
 - Train Lr: 1e-04
-- Epoch: 0
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Dice Coef | Train Iou | Validation Loss | Validation Dice Coef | Validation Iou | Train Lr | Epoch |
 |:----------:|:---------------:|:---------:|:---------------:|:--------------------:|:--------------:|:--------:|:-----:|
 | 0.1460     | 0.3657          | 0.2410    | 0.0908          | 0.4603               | 0.3168         | 1e-04    | 0     |
+| 0.0610     | 0.5251          | 0.3760    | 0.1773          | 0.1542               | 0.0892         | 1e-04    | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a890f394a5eea918604ff31ce0339f25b47c268fcedb008fb12279fe4086d12d
+oid sha256:9d142ca7155d4def6c1d80563bde6824b1f699a479b8ab91c051d5c84535472b
 size 15133664