Training in progress epoch 72

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: 0.0160
-- Train Dice Coef: 0.8041
-- Train Iou: 0.6812
-- Validation Loss: 0.0227
-- Validation Dice Coef: 0.8574
-- Validation Iou: 0.7525
+- Train Loss: 0.0161
+- Train Dice Coef: 0.8074
+- Train Iou: 0.6852
+- Validation Loss: 0.0222
+- Validation Dice Coef: 0.8575
+- Validation Iou: 0.7527
 - Train Lr: 1e-10
-- Epoch: 71
+- Epoch: 72
 
 ## Model description
 
@@ -119,6 +119,7 @@ The following hyperparameters were used during training:
 | 0.0161     | 0.8047          | 0.6813    | 0.0230          | 0.8564               | 0.7510         | 1e-10    | 69    |
 | 0.0164     | 0.8049          | 0.6820    | 0.0231          | 0.8553               | 0.7493         | 1e-10    | 70    |
 | 0.0160     | 0.8041          | 0.6812    | 0.0227          | 0.8574               | 0.7525         | 1e-10    | 71    |
+| 0.0161     | 0.8074          | 0.6852    | 0.0222          | 0.8575               | 0.7527         | 1e-10    | 72    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3949a2d1a8b59e0fbc2f20dd7f1ddb948a8f8107ca61d6c5feae2b72b704e94a
+oid sha256:6890f13013fb642c48682c8a32481cf5434411339cd5a6281532d7c25bc6fed4
 size 15133664