Training in progress epoch 21

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: 0.0516
-- Train Dice Coef: 0.8632
-- Train Iou: 0.7617
-- Validation Loss: 0.0465
-- Validation Dice Coef: 0.8838
-- Validation Iou: 0.7934
+- Train Loss: 0.0515
+- Train Dice Coef: 0.8636
+- Train Iou: 0.7625
+- Validation Loss: 0.0494
+- Validation Dice Coef: 0.8816
+- Validation Iou: 0.7894
 - Train Lr: 1e-04
-- Epoch: 20
+- Epoch: 21
 
 ## Model description
 
@@ -68,6 +68,7 @@ The following hyperparameters were used during training:
 | 0.0558     | 0.8544          | 0.7489    | 0.0476          | 0.8828               | 0.7917         | 1e-04    | 18    |
 | 0.0523     | 0.8617          | 0.7595    | 0.0454          | 0.8872               | 0.7983         | 1e-04    | 19    |
 | 0.0516     | 0.8632          | 0.7617    | 0.0465          | 0.8838               | 0.7934         | 1e-04    | 20    |
+| 0.0515     | 0.8636          | 0.7625    | 0.0494          | 0.8816               | 0.7894         | 1e-04    | 21    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8664619116f501421f823345233eb9f5bfb870d05bdc9870f133cf016c62f12e
+oid sha256:0aaa53c6b6b834ddf7b814758a35f1e943918089e5da893d7a8f94108ed63ea5
 size 15133664