Training in progress epoch 85

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: 0.0526
-- Train Dice Coef: 0.8384
-- Train Iou: 0.7360
-- Validation Loss: 0.0445
-- Validation Dice Coef: 0.8862
-- Validation Iou: 0.7968
+- Train Loss: 0.0520
+- Train Dice Coef: 0.8477
+- Train Iou: 0.7457
+- Validation Loss: 0.0447
+- Validation Dice Coef: 0.8844
+- Validation Iou: 0.7938
 - Train Lr: 1e-10
-- Epoch: 84
+- Epoch: 85
 
 ## Model description
 
@@ -132,6 +132,7 @@ The following hyperparameters were used during training:
 | 0.0522     | 0.8417          | 0.7396    | 0.0451          | 0.8844               | 0.7939         | 1e-10    | 82    |
 | 0.0520     | 0.8492          | 0.7471    | 0.0449          | 0.8847               | 0.7943         | 1e-10    | 83    |
 | 0.0526     | 0.8384          | 0.7360    | 0.0445          | 0.8862               | 0.7968         | 1e-10    | 84    |
+| 0.0520     | 0.8477          | 0.7457    | 0.0447          | 0.8844               | 0.7938         | 1e-10    | 85    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:408efd22ede1b0007baecbf5d67d143f4cb676154f2b70b6ff2ff4b0587af47c
+oid sha256:235516f3a4f393fc0499666023da6edc297a86bd6c879321cfa97ab8dbc36054
 size 15133664