Training in progress epoch 88

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: 0.0161
-- Train Dice Coef: 0.8036
-- Train Iou: 0.6806
-- Validation Loss: 0.0228
-- Validation Dice Coef: 0.8562
-- Validation Iou: 0.7507
+- Train Loss: 0.0160
+- Train Dice Coef: 0.8026
+- Train Iou: 0.6791
+- Validation Loss: 0.0230
+- Validation Dice Coef: 0.8556
+- Validation Iou: 0.7497
 - Train Lr: 1e-10
-- Epoch: 87
+- Epoch: 88
 
 ## Model description
 
@@ -135,6 +135,7 @@ The following hyperparameters were used during training:
 | 0.0160     | 0.8045          | 0.6816    | 0.0230          | 0.8566               | 0.7514         | 1e-10    | 85    |
 | 0.0161     | 0.8026          | 0.6794    | 0.0233          | 0.8562               | 0.7508         | 1e-10    | 86    |
 | 0.0161     | 0.8036          | 0.6806    | 0.0228          | 0.8562               | 0.7507         | 1e-10    | 87    |
+| 0.0160     | 0.8026          | 0.6791    | 0.0230          | 0.8556               | 0.7497         | 1e-10    | 88    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:db90587b91b05e8e6b8b4ec502e5068552616dca4a7642c66e65b43faa5ce62d
+oid sha256:d8fcb339f44f0c4c328e88619304c2d0ac9c2e161379918bb9115e5f32ee8546
 size 15133664