Training in progress epoch 48

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: 0.0422
-- Train Dice Coef: 0.8825
-- Train Iou: 0.7916
-- Validation Loss: 0.0433
-- Validation Dice Coef: 0.8895
-- Validation Iou: 0.8022
+- Train Loss: 0.0423
+- Train Dice Coef: 0.8823
+- Train Iou: 0.7912
+- Validation Loss: 0.0431
+- Validation Dice Coef: 0.8897
+- Validation Iou: 0.8024
 - Train Lr: 6.25e-10
-- Epoch: 47
+- Epoch: 48
 
 ## Model description
 
@@ -95,6 +95,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.0423     | 0.8823          | 0.7912    | 0.0431          | 0.8897               | 0.8024         | 6.25e-10 | 48    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8966596f102ebcf33f84b3dad07dd5267879b2abc3c47da5314000dc66ce10f8
+oid sha256:c55633305121e16927c4664637ea532e64767a0d009059e5b0dbb8dbd73414cb
 size 15133664