Training in progress epoch 30

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: 0.0535
-- Train Dice Coef: 0.8350
-- Train Iou: 0.7324
-- Validation Loss: 0.0459
-- Validation Dice Coef: 0.8833
-- Validation Iou: 0.7919
+- Train Loss: 0.0529
+- Train Dice Coef: 0.8404
+- Train Iou: 0.7376
+- Validation Loss: 0.0460
+- Validation Dice Coef: 0.8820
+- Validation Iou: 0.7900
 - Train Lr: 5e-06
-- Epoch: 29
+- Epoch: 30
 
 ## Model description
 
@@ -77,6 +77,7 @@ The following hyperparameters were used during training:
 | 0.0538     | 0.8350          | 0.7310    | 0.0447          | 0.8846               | 0.7941         | 5e-06    | 27    |
 | 0.0543     | 0.8443          | 0.7406    | 0.0468          | 0.8803               | 0.7877         | 5e-06    | 28    |
 | 0.0535     | 0.8350          | 0.7324    | 0.0459          | 0.8833               | 0.7919         | 5e-06    | 29    |
+| 0.0529     | 0.8404          | 0.7376    | 0.0460          | 0.8820               | 0.7900         | 5e-06    | 30    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:da59e1f69b1a7fe1d1e54b636b2f26cb4e3e29855a8908fcaedf59bed54ee258
+oid sha256:d19dc39a5c65b14c04781c01427cd9824f841e8ff7a60b6caed71e58c42c92b2
 size 15133664