Training in progress epoch 34

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: 0.0175
-- Train Dice Coef: 0.7964
-- Train Iou: 0.6703
-- Validation Loss: 0.0232
-- Validation Dice Coef: 0.8547
-- Validation Iou: 0.7489
+- Train Loss: 0.0173
+- Train Dice Coef: 0.7972
+- Train Iou: 0.6719
+- Validation Loss: 0.0225
+- Validation Dice Coef: 0.8556
+- Validation Iou: 0.7499
 - Train Lr: 5e-06
-- Epoch: 33
+- Epoch: 34
 
 ## Model description
 
@@ -81,6 +81,7 @@ The following hyperparameters were used during training:
 | 0.0190     | 0.7867          | 0.6579    | 0.0232          | 0.8546               | 0.7486         | 5e-06    | 31    |
 | 0.0178     | 0.7963          | 0.6701    | 0.0239          | 0.8520               | 0.7450         | 5e-06    | 32    |
 | 0.0175     | 0.7964          | 0.6703    | 0.0232          | 0.8547               | 0.7489         | 5e-06    | 33    |
+| 0.0173     | 0.7972          | 0.6719    | 0.0225          | 0.8556               | 0.7499         | 5e-06    | 34    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5173fa309ef44c8141e5127941acab0fc32be941a9aedce26083888293224e27
+oid sha256:25cf1b1d25f3bf92019c63c7fa25b08d51efa6c145aa91d57606e1ee2fc9b942
 size 15133664