Training in progress epoch 18

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: 0.0633
-- Train Dice Coef: 0.8381
-- Train Iou: 0.7262
-- Validation Loss: 0.0487
-- Validation Dice Coef: 0.8797
-- Validation Iou: 0.7868
+- Train Loss: 0.0558
+- Train Dice Coef: 0.8544
+- Train Iou: 0.7489
+- Validation Loss: 0.0476
+- Validation Dice Coef: 0.8828
+- Validation Iou: 0.7917
 - Train Lr: 1e-04
-- Epoch: 17
+- Epoch: 18
 
 ## Model description
 
@@ -65,6 +65,7 @@ The following hyperparameters were used during training:
 | 0.0573     | 0.8525          | 0.7458    | 0.0474          | 0.8817               | 0.7897         | 1e-04    | 15    |
 | 0.0565     | 0.8520          | 0.7456    | 0.0459          | 0.8850               | 0.7948         | 1e-04    | 16    |
 | 0.0633     | 0.8381          | 0.7262    | 0.0487          | 0.8797               | 0.7868         | 1e-04    | 17    |
+| 0.0558     | 0.8544          | 0.7489    | 0.0476          | 0.8828               | 0.7917         | 1e-04    | 18    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4492163fddfce04f0aa1dad75ea187a292800803c8f4f9f2f4786c2c844404c3
+oid sha256:7e83d86c43b18ffb4b522438ffe9c2fc5087c7ba4a329ccf41814bc7703b5b4e
 size 15133664