Training in progress epoch 56

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: 0.0424
-- Train Dice Coef: 0.8818
-- Train Iou: 0.7905
-- Validation Loss: 0.0431
-- Validation Dice Coef: 0.8901
-- Validation Iou: 0.8031
+- Train Loss: 0.0421
+- Train Dice Coef: 0.8823
+- Train Iou: 0.7911
+- Validation Loss: 0.0438
+- Validation Dice Coef: 0.8887
+- Validation Iou: 0.8008
 - Train Lr: 1e-10
-- Epoch: 55
+- Epoch: 56
 
 ## Model description
 
@@ -103,6 +103,7 @@ The following hyperparameters were used during training:
 | 0.0424     | 0.8824          | 0.7915    | 0.0426          | 0.8899               | 0.8029         | 1e-10    | 53    |
 | 0.0423     | 0.8828          | 0.7920    | 0.0433          | 0.8894               | 0.8020         | 1e-10    | 54    |
 | 0.0424     | 0.8818          | 0.7905    | 0.0431          | 0.8901               | 0.8031         | 1e-10    | 55    |
+| 0.0421     | 0.8823          | 0.7911    | 0.0438          | 0.8887               | 0.8008         | 1e-10    | 56    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ea893b51e4dba0361a8d8c7ed0708bac87cc28e1dc1dce93fc151e0487042db7
+oid sha256:f4d7a50a00f906cdcf71f2db76853bcc37aaa78e4a0b4f3b3673b27fd72e4266
 size 15133664