Training in progress epoch 24

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: 0.0554
-- Train Dice Coef: 0.8259
-- Train Iou: 0.7208
-- Validation Loss: 0.0463
-- Validation Dice Coef: 0.8811
-- Validation Iou: 0.7885
+- Train Loss: 0.0548
+- Train Dice Coef: 0.8254
+- Train Iou: 0.7212
+- Validation Loss: 0.0459
+- Validation Dice Coef: 0.8832
+- Validation Iou: 0.7919
 - Train Lr: 5e-06
-- Epoch: 23
+- Epoch: 24
 
 ## Model description
 
@@ -71,6 +71,7 @@ The following hyperparameters were used during training:
 | 0.0562     | 0.8252          | 0.7182    | 0.0455          | 0.8850               | 0.7947         | 5e-06    | 21    |
 | 0.0560     | 0.8245          | 0.7188    | 0.0461          | 0.8830               | 0.7916         | 5e-06    | 22    |
 | 0.0554     | 0.8259          | 0.7208    | 0.0463          | 0.8811               | 0.7885         | 5e-06    | 23    |
+| 0.0548     | 0.8254          | 0.7212    | 0.0459          | 0.8832               | 0.7919         | 5e-06    | 24    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:31bde2dd8cccb61a4a2d4b453ff822589d36941b5c5a99dfb12987301ef0af1c
+oid sha256:cf3f4ceff52ea080f6c0ec297b3e57ee82bd1b27f5b06466295408692e7940c3
 size 15133664