Training in progress epoch 97

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: 0.0160
-- Train Dice Coef: 0.8037
-- Train Iou: 0.6805
-- Validation Loss: 0.0226
-- Validation Dice Coef: 0.8568
-- Validation Iou: 0.7517
+- Train Dice Coef: 0.8059
+- Train Iou: 0.6835
+- Validation Loss: 0.0223
+- Validation Dice Coef: 0.8579
+- Validation Iou: 0.7533
 - Train Lr: 1e-10
-- Epoch: 96
+- Epoch: 97
 
 ## Model description
 
@@ -144,6 +144,7 @@ The following hyperparameters were used during training:
 | 0.0161     | 0.8032          | 0.6796    | 0.0223          | 0.8566               | 0.7514         | 1e-10    | 94    |
 | 0.0162     | 0.8037          | 0.6804    | 0.0228          | 0.8558               | 0.7502         | 1e-10    | 95    |
 | 0.0160     | 0.8037          | 0.6805    | 0.0226          | 0.8568               | 0.7517         | 1e-10    | 96    |
+| 0.0160     | 0.8059          | 0.6835    | 0.0223          | 0.8579               | 0.7533         | 1e-10    | 97    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2b1f3a1b32bb898e37c648d93053e85d2024dc9990018db6629c96ef77ff3222
+oid sha256:3113137281628da80164d99ba6d67133fd4c3f87aef78de8cf2af2cf501c21eb
 size 15133664