Training in progress epoch 53

README.md

@@ -15,13 +15,13 @@ 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: 0.8820
-- Train Iou: 0.7907
-- Validation Loss: 0.0436
-- Validation Dice Coef: 0.8884
-- Validation Iou: 0.8003
+- Train Dice Coef: 0.8824
+- Train Iou: 0.7915
+- Validation Loss: 0.0426
+- Validation Dice Coef: 0.8899
+- Validation Iou: 0.8029
 - Train Lr: 1e-10
-- Epoch: 52
+- Epoch: 53
 
 ## Model description
 
@@ -100,6 +100,7 @@ The following hyperparameters were used during training:
 | 0.0425     | 0.8827          | 0.7918    | 0.0433          | 0.8896               | 0.8023         | 1e-10    | 50    |
 | 0.0421     | 0.8838          | 0.7937    | 0.0431          | 0.8891               | 0.8014         | 1e-10    | 51    |
 | 0.0424     | 0.8820          | 0.7907    | 0.0436          | 0.8884               | 0.8003         | 1e-10    | 52    |
+| 0.0424     | 0.8824          | 0.7915    | 0.0426          | 0.8899               | 0.8029         | 1e-10    | 53    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:793ed4a4a10f4fc229b86f39a16838918e310f1f6b3015d78f137da5cfe263aa
+oid sha256:b8cac5250f6800ac41c84765ae2cfd8f57fcbf7b192e9bf376a3b6e960d6aebe
 size 15133664