Training in progress epoch 69

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: 0.8813
-- Train Iou: 0.7898
-- Validation Loss: 0.0435
-- Validation Dice Coef: 0.8893
-- Validation Iou: 0.8019
+- Train Loss: 0.0420
+- Train Dice Coef: 0.8826
+- Train Iou: 0.7918
+- Validation Loss: 0.0430
+- Validation Dice Coef: 0.8896
+- Validation Iou: 0.8024
 - Train Lr: 1e-10
-- Epoch: 68
+- Epoch: 69
 
 ## Model description
 
@@ -116,6 +116,7 @@ The following hyperparameters were used during training:
 | 0.0426     | 0.8822          | 0.7911    | 0.0431          | 0.8891               | 0.8015         | 1e-10    | 66    |
 | 0.0422     | 0.8829          | 0.7923    | 0.0428          | 0.8902               | 0.8033         | 1e-10    | 67    |
 | 0.0424     | 0.8813          | 0.7898    | 0.0435          | 0.8893               | 0.8019         | 1e-10    | 68    |
+| 0.0420     | 0.8826          | 0.7918    | 0.0430          | 0.8896               | 0.8024         | 1e-10    | 69    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:773191fd7017f825694c04c90467bd17bdbceffd3eef8ca30d7ec22c25dfd44a
+oid sha256:4908a679e680d36e818532b0cea493fafbcdc33632dc119af314f31bb5483b9c
 size 15133664