Training in progress epoch 64

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: 0.0185
-- Train Dice Coef: 0.7784
-- Train Iou: 0.6504
-- Validation Loss: 0.0232
-- Validation Dice Coef: 0.8496
-- Validation Iou: 0.7422
+- Train Loss: 0.0188
+- Train Dice Coef: 0.7797
+- Train Iou: 0.6519
+- Validation Loss: 0.0234
+- Validation Dice Coef: 0.8484
+- Validation Iou: 0.7406
 - Train Lr: 1e-10
-- Epoch: 63
+- Epoch: 64
 
 ## Model description
 
@@ -111,6 +111,7 @@ The following hyperparameters were used during training:
 | 0.0186     | 0.7771          | 0.6484    | 0.0238          | 0.8482               | 0.7402         | 1e-10    | 61    |
 | 0.0186     | 0.7776          | 0.6502    | 0.0231          | 0.8499               | 0.7429         | 1e-10    | 62    |
 | 0.0185     | 0.7784          | 0.6504    | 0.0232          | 0.8496               | 0.7422         | 1e-10    | 63    |
+| 0.0188     | 0.7797          | 0.6519    | 0.0234          | 0.8484               | 0.7406         | 1e-10    | 64    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cb63ff3631f1d951dc5fc8fd590faa817e3e49f393c161a1ba649aa02401d0f2
+oid sha256:1810980c020828be3182f6b3beae3e001b67ed3a96a6d429e896f12eddfe334b
 size 15133664