Training in progress epoch 80

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: 0.0521
-- Train Dice Coef: 0.8423
-- Train Iou: 0.7393
-- Validation Loss: 0.0443
-- Validation Dice Coef: 0.8855
-- Validation Iou: 0.7954
+- Train Loss: 0.0513
+- Train Dice Coef: 0.8439
+- Train Iou: 0.7415
+- Validation Loss: 0.0454
+- Validation Dice Coef: 0.8837
+- Validation Iou: 0.7926
 - Train Lr: 1e-10
-- Epoch: 79
+- Epoch: 80
 
 ## Model description
 
@@ -127,6 +127,7 @@ The following hyperparameters were used during training:
 | 0.0525     | 0.8467          | 0.7449    | 0.0456          | 0.8836               | 0.7925         | 1e-10    | 77    |
 | 0.0522     | 0.8436          | 0.7397    | 0.0445          | 0.8847               | 0.7942         | 1e-10    | 78    |
 | 0.0521     | 0.8423          | 0.7393    | 0.0443          | 0.8855               | 0.7954         | 1e-10    | 79    |
+| 0.0513     | 0.8439          | 0.7415    | 0.0454          | 0.8837               | 0.7926         | 1e-10    | 80    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:585c092e56239b027f01a6496796322e2e802658ea0a619eb58c23191fe45c22
+oid sha256:55758411698b26d60896fd526d32ffb1ec6e1de234f71788b3b0e73178bfc29f
 size 15133664