Training in progress epoch 12

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: 0.0285
-- Train Dice Coef: 0.7321
-- Train Iou: 0.5905
-- Validation Loss: 0.0294
-- Validation Dice Coef: 0.8412
-- Validation Iou: 0.7279
+- Train Loss: 0.0287
+- Train Dice Coef: 0.7323
+- Train Iou: 0.5901
+- Validation Loss: 0.0310
+- Validation Dice Coef: 0.8338
+- Validation Iou: 0.7185
 - Train Lr: 1e-04
-- Epoch: 11
+- Epoch: 12
 
 ## Model description
 
@@ -59,6 +59,7 @@ The following hyperparameters were used during training:
 | 0.0315     | 0.7137          | 0.5680    | 0.0307          | 0.8333               | 0.7169         | 1e-04    | 9     |
 | 0.0292     | 0.7341          | 0.5908    | 0.0296          | 0.8400               | 0.7266         | 1e-04    | 10    |
 | 0.0285     | 0.7321          | 0.5905    | 0.0294          | 0.8412               | 0.7279         | 1e-04    | 11    |
+| 0.0287     | 0.7323          | 0.5901    | 0.0310          | 0.8338               | 0.7185         | 1e-04    | 12    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d8c5a260551e40bb27aafaac280ab697b1561d665ce33493baccf9153b58a85b
+oid sha256:e1cc1ccac088c9800a5713b2495ca6e2c3f3b67b4e2539fdef138633c7542320
 size 15133664