Training in progress epoch 79

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: 0.0161
-- Train Dice Coef: 0.8060
+- Train Loss: 0.0159
+- Train Dice Coef: 0.8051
 - Train Iou: 0.6825
-- Validation Loss: 0.0225
-- Validation Dice Coef: 0.8574
-- Validation Iou: 0.7525
+- Validation Loss: 0.0227
+- Validation Dice Coef: 0.8561
+- Validation Iou: 0.7506
 - Train Lr: 1e-10
-- Epoch: 78
+- Epoch: 79
 
 ## Model description
 
@@ -126,6 +126,7 @@ The following hyperparameters were used during training:
 | 0.0160     | 0.8049          | 0.6823    | 0.0222          | 0.8578               | 0.7532         | 1e-10    | 76    |
 | 0.0159     | 0.8053          | 0.6830    | 0.0224          | 0.8565               | 0.7513         | 1e-10    | 77    |
 | 0.0161     | 0.8060          | 0.6825    | 0.0225          | 0.8574               | 0.7525         | 1e-10    | 78    |
+| 0.0159     | 0.8051          | 0.6825    | 0.0227          | 0.8561               | 0.7506         | 1e-10    | 79    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8eb075990acc281891b531b0be22640160a25e576338e2f0225fc366d8e78eb0
+oid sha256:d89e491dd743e7aca96bcf9cb54ceb1103d19d1e04e4265b6ec093f43f833c26
 size 15133664