Training in progress epoch 52

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: 0.0186
-- Train Dice Coef: 0.7770
-- Train Iou: 0.6498
-- Validation Loss: 0.0229
-- Validation Dice Coef: 0.8504
-- Validation Iou: 0.7435
+- Train Loss: 0.0190
+- Train Dice Coef: 0.7764
+- Train Iou: 0.6483
+- Validation Loss: 0.0232
+- Validation Dice Coef: 0.8503
+- Validation Iou: 0.7437
 - Train Lr: 1e-10
-- Epoch: 51
+- Epoch: 52
 
 ## Model description
 
@@ -99,6 +99,7 @@ The following hyperparameters were used during training:
 | 0.0187     | 0.7785          | 0.6498    | 0.0230          | 0.8502               | 0.7432         | 1e-10    | 49    |
 | 0.0188     | 0.7813          | 0.6529    | 0.0235          | 0.8491               | 0.7418         | 1e-10    | 50    |
 | 0.0186     | 0.7770          | 0.6498    | 0.0229          | 0.8504               | 0.7435         | 1e-10    | 51    |
+| 0.0190     | 0.7764          | 0.6483    | 0.0232          | 0.8503               | 0.7437         | 1e-10    | 52    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c9087016be6747f66facd29fe938779f1c5a9d76ee9ce2296ff9adb4208a109a
+oid sha256:f00bbe04d6dcc638c9bc69c85dd554a31a33cc659f174edf55b471d8270858e3
 size 15133664