Training in progress epoch 97

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: 0.8812
-- Train Iou: 0.7895
-- Validation Loss: 0.0429
-- Validation Dice Coef: 0.8896
-- Validation Iou: 0.8023
+- Train Loss: 0.0423
+- Train Dice Coef: 0.8818
+- Train Iou: 0.7908
+- Validation Loss: 0.0428
+- Validation Dice Coef: 0.8900
+- Validation Iou: 0.8028
 - Train Lr: 1e-10
-- Epoch: 96
+- Epoch: 97
 
 ## Model description
 
@@ -144,6 +144,7 @@ The following hyperparameters were used during training:
 | 0.0418     | 0.8831          | 0.7924    | 0.0431          | 0.8900               | 0.8031         | 1e-10    | 94    |
 | 0.0425     | 0.8822          | 0.7912    | 0.0429          | 0.8904               | 0.8037         | 1e-10    | 95    |
 | 0.0424     | 0.8812          | 0.7895    | 0.0429          | 0.8896               | 0.8023         | 1e-10    | 96    |
+| 0.0423     | 0.8818          | 0.7908    | 0.0428          | 0.8900               | 0.8028         | 1e-10    | 97    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9b14b85c353fa465785d12daf1e7a4fc4820463fc1556e59979c2994c296162c
+oid sha256:e4edb73bda769900c685ce91a0d3cbff0e9bc975779a6bc8316da5386334d30d
 size 15133664