Training in progress epoch 78

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: 0.0188
-- Train Dice Coef: 0.7760
-- Train Iou: 0.6479
-- Validation Loss: 0.0235
-- Validation Dice Coef: 0.8494
-- Validation Iou: 0.7418
+- Train Loss: 0.0187
+- Train Dice Coef: 0.7828
+- Train Iou: 0.6538
+- Validation Loss: 0.0231
+- Validation Dice Coef: 0.8518
+- Validation Iou: 0.7456
 - Train Lr: 1e-10
-- Epoch: 77
+- Epoch: 78
 
 ## Model description
 
@@ -125,6 +125,7 @@ The following hyperparameters were used during training:
 | 0.0189     | 0.7753          | 0.6464    | 0.0232          | 0.8505               | 0.7439         | 1e-10    | 75    |
 | 0.0188     | 0.7759          | 0.6481    | 0.0232          | 0.8500               | 0.7427         | 1e-10    | 76    |
 | 0.0188     | 0.7760          | 0.6479    | 0.0235          | 0.8494               | 0.7418         | 1e-10    | 77    |
+| 0.0187     | 0.7828          | 0.6538    | 0.0231          | 0.8518               | 0.7456         | 1e-10    | 78    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d523b118883d1c30b25647d1b0d527f6aa5e776e07765d6d1933ff72421d06e0
+oid sha256:4fe3507ff6a4f6275b94bf2945412c5d2430371c5f25306ceed084b659d31e3d
 size 15133664