Training in progress epoch 69

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: 0.0190
-- Train Dice Coef: 0.7751
-- Train Iou: 0.6455
-- Validation Loss: 0.0243
-- Validation Dice Coef: 0.8472
-- Validation Iou: 0.7391
+- Train Loss: 0.0188
+- Train Dice Coef: 0.7767
+- Train Iou: 0.6486
+- Validation Loss: 0.0233
+- Validation Dice Coef: 0.8502
+- Validation Iou: 0.7433
 - Train Lr: 1e-10
-- Epoch: 68
+- Epoch: 69
 
 ## Model description
 
@@ -116,6 +116,7 @@ The following hyperparameters were used during training:
 | 0.0187     | 0.7795          | 0.6515    | 0.0237          | 0.8494               | 0.7420         | 1e-10    | 66    |
 | 0.0188     | 0.7779          | 0.6489    | 0.0237          | 0.8470               | 0.7395         | 1e-10    | 67    |
 | 0.0190     | 0.7751          | 0.6455    | 0.0243          | 0.8472               | 0.7391         | 1e-10    | 68    |
+| 0.0188     | 0.7767          | 0.6486    | 0.0233          | 0.8502               | 0.7433         | 1e-10    | 69    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a3155d5440d70fa7276c9dbac780dff25c22c05478b17903adee5111b693bec8
+oid sha256:bf759ef5fb5a7ee637b549eec95ccfe8461ca39e60ac4775e6045fd53e0710fb
 size 15133664