Training in progress epoch 31

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: 0.0439
-- Train Dice Coef: 0.8795
-- Train Iou: 0.7867
-- Validation Loss: 0.0439
-- Validation Dice Coef: 0.8881
-- Validation Iou: 0.7999
+- Train Loss: 0.0436
+- Train Dice Coef: 0.8800
+- Train Iou: 0.7876
+- Validation Loss: 0.0429
+- Validation Dice Coef: 0.8902
+- Validation Iou: 0.8032
 - Train Lr: 5e-06
-- Epoch: 30
+- Epoch: 31
 
 ## Model description
 
@@ -78,6 +78,7 @@ The following hyperparameters were used during training:
 | 0.0446     | 0.8790          | 0.7860    | 0.0428          | 0.8896               | 0.8024         | 5e-06    | 28    |
 | 0.0443     | 0.8786          | 0.7855    | 0.0426          | 0.8905               | 0.8038         | 5e-06    | 29    |
 | 0.0439     | 0.8795          | 0.7867    | 0.0439          | 0.8881               | 0.7999         | 5e-06    | 30    |
+| 0.0436     | 0.8800          | 0.7876    | 0.0429          | 0.8902               | 0.8032         | 5e-06    | 31    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:303265da8438d23d95adeac1b6cfa762281f695a9006ca78a5c72a97a46149a5
+oid sha256:6ce615a4cd0f7a7e2da684410893d6b0c1e2f18ee28a7fc8cd5a337d79cd5410
 size 15133664