Training in progress epoch 83

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: 0.0159
-- Train Dice Coef: 0.8068
-- Train Iou: 0.6840
-- Validation Loss: 0.0234
+- Train Loss: 0.0161
+- Train Dice Coef: 0.8047
+- Train Iou: 0.6818
+- Validation Loss: 0.0228
 - Validation Dice Coef: 0.8562
-- Validation Iou: 0.7506
+- Validation Iou: 0.7508
 - Train Lr: 1e-10
-- Epoch: 82
+- Epoch: 83
 
 ## Model description
 
@@ -130,6 +130,7 @@ The following hyperparameters were used during training:
 | 0.0161     | 0.8034          | 0.6798    | 0.0227          | 0.8559               | 0.7504         | 1e-10    | 80    |
 | 0.0163     | 0.8076          | 0.6850    | 0.0230          | 0.8569               | 0.7517         | 1e-10    | 81    |
 | 0.0159     | 0.8068          | 0.6840    | 0.0234          | 0.8562               | 0.7506         | 1e-10    | 82    |
+| 0.0161     | 0.8047          | 0.6818    | 0.0228          | 0.8562               | 0.7508         | 1e-10    | 83    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4e9b217af575c69803c4493e8266b7bde1cc675ba9b4bb4f6f1e3c4ab3ec045b
+oid sha256:760a31e7c977242736be49660f81f9b34e6d2244d36c51cdfe551f5ef3eff72b
 size 15133664