Training in progress epoch 23

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: 0.0518
-- Train Dice Coef: 0.8630
-- Train Iou: 0.7615
-- Validation Loss: 0.0487
-- Validation Dice Coef: 0.8836
-- Validation Iou: 0.7930
+- Train Loss: 0.0521
+- Train Dice Coef: 0.8616
+- Train Iou: 0.7595
+- Validation Loss: 0.0483
+- Validation Dice Coef: 0.8822
+- Validation Iou: 0.7908
 - Train Lr: 1e-04
-- Epoch: 22
+- Epoch: 23
 
 ## Model description
 
@@ -70,6 +70,7 @@ The following hyperparameters were used during training:
 | 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    |
 | 0.0518     | 0.8630          | 0.7615    | 0.0487          | 0.8836               | 0.7930         | 1e-04    | 22    |
+| 0.0521     | 0.8616          | 0.7595    | 0.0483          | 0.8822               | 0.7908         | 1e-04    | 23    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:54c72dec123dbde4eb6464e15d4573dfd7e1076fd807bd42865acd7534b84ccd
+oid sha256:316be084fec0c2b2ab449e37ef7acd012bd79a98336d6e747832478fdea39cf9
 size 15133664