Training in progress epoch 47

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: 0.0427
-- Train Dice Coef: 0.8817
-- Train Iou: 0.7901
-- Validation Loss: 0.0431
-- Validation Dice Coef: 0.8896
-- Validation Iou: 0.8023
+- Train Loss: 0.0422
+- Train Dice Coef: 0.8825
+- Train Iou: 0.7916
+- Validation Loss: 0.0433
+- Validation Dice Coef: 0.8895
+- Validation Iou: 0.8022
 - Train Lr: 6.25e-10
-- Epoch: 46
+- Epoch: 47
 
 ## Model description
 
@@ -94,6 +94,7 @@ The following hyperparameters were used during training:
 | 0.0427     | 0.8806          | 0.7888    | 0.0434          | 0.8893               | 0.8020         | 1.25e-08 | 44    |
 | 0.0421     | 0.8829          | 0.7921    | 0.0431          | 0.8899               | 0.8028         | 6.25e-10 | 45    |
 | 0.0427     | 0.8817          | 0.7901    | 0.0431          | 0.8896               | 0.8023         | 6.25e-10 | 46    |
+| 0.0422     | 0.8825          | 0.7916    | 0.0433          | 0.8895               | 0.8022         | 6.25e-10 | 47    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1ed3e0b529686e4470562346573173b9d692bffa14f1297419ea9aeb765a67ce
+oid sha256:8966596f102ebcf33f84b3dad07dd5267879b2abc3c47da5314000dc66ce10f8
 size 15133664