Training in progress epoch 71

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: 0.0522
-- Train Dice Coef: 0.8487
-- Train Iou: 0.7473
-- Validation Loss: 0.0455
-- Validation Dice Coef: 0.8835
-- Validation Iou: 0.7923
+- Train Loss: 0.0520
+- Train Dice Coef: 0.8446
+- Train Iou: 0.7429
+- Validation Loss: 0.0463
+- Validation Dice Coef: 0.8828
+- Validation Iou: 0.7911
 - Train Lr: 1e-10
-- Epoch: 70
+- Epoch: 71
 
 ## Model description
 
@@ -118,6 +118,7 @@ The following hyperparameters were used during training:
 | 0.0523     | 0.8374          | 0.7361    | 0.0453          | 0.8849               | 0.7947         | 1e-10    | 68    |
 | 0.0520     | 0.8370          | 0.7355    | 0.0446          | 0.8852               | 0.7950         | 1e-10    | 69    |
 | 0.0522     | 0.8487          | 0.7473    | 0.0455          | 0.8835               | 0.7923         | 1e-10    | 70    |
+| 0.0520     | 0.8446          | 0.7429    | 0.0463          | 0.8828               | 0.7911         | 1e-10    | 71    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fddf5246180c653aca900d9aed19145b8f124559fec8ec206841e9d368cca5c2
+oid sha256:5647b53b74f22a18cf6bc321aad7f5f4dbcc0bac6d8db32662c251f0aab761c1
 size 15133664