Training in progress epoch 59

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: 0.0160
-- Train Dice Coef: 0.8062
-- Train Iou: 0.6833
-- Validation Loss: 0.0231
-- Validation Dice Coef: 0.8560
-- Validation Iou: 0.7505
-- Train Lr: 6.25e-10
-- Epoch: 58
+- Train Loss: 0.0159
+- Train Dice Coef: 0.8037
+- Train Iou: 0.6810
+- Validation Loss: 0.0227
+- Validation Dice Coef: 0.8557
+- Validation Iou: 0.7500
+- Train Lr: 1e-10
+- Epoch: 59
 
 ## Model description
 
@@ -106,6 +106,7 @@ The following hyperparameters were used during training:
 | 0.0160     | 0.8045          | 0.6811    | 0.0226          | 0.8574               | 0.7525         | 6.25e-10 | 56    |
 | 0.0161     | 0.8061          | 0.6828    | 0.0226          | 0.8560               | 0.7506         | 6.25e-10 | 57    |
 | 0.0160     | 0.8062          | 0.6833    | 0.0231          | 0.8560               | 0.7505         | 6.25e-10 | 58    |
+| 0.0159     | 0.8037          | 0.6810    | 0.0227          | 0.8557               | 0.7500         | 1e-10    | 59    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:56ebe0da4384807d65e06b4f2fed5dc9ebb7686b00ff844ed9f6b94a7674bb83
+oid sha256:0f404c345393de8cc9397a9401d9c5dbae98a08cc452384b77bdcf682aef5819
 size 15133664