Training in progress epoch 77

README.md

@@ -15,13 +15,13 @@ 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: 0.7759
-- Train Iou: 0.6481
-- Validation Loss: 0.0232
-- Validation Dice Coef: 0.8500
-- Validation Iou: 0.7427
+- Train Dice Coef: 0.7760
+- Train Iou: 0.6479
+- Validation Loss: 0.0235
+- Validation Dice Coef: 0.8494
+- Validation Iou: 0.7418
 - Train Lr: 1e-10
-- Epoch: 76
+- Epoch: 77
 
 ## Model description
 
@@ -124,6 +124,7 @@ The following hyperparameters were used during training:
 | 0.0189     | 0.7720          | 0.6430    | 0.0237          | 0.8481               | 0.7401         | 1e-10    | 74    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a508764448fcac7b6ea7492500451f45b83df5a58706aa9231f49ed3acd54ec3
+oid sha256:d523b118883d1c30b25647d1b0d527f6aa5e776e07765d6d1933ff72421d06e0
 size 15133664