Training in progress epoch 75

README.md

@@ -15,13 +15,13 @@ 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: 0.0189
-- Train Dice Coef: 0.7720
-- Train Iou: 0.6430
-- Validation Loss: 0.0237
-- Validation Dice Coef: 0.8481
-- Validation Iou: 0.7401
+- Train Dice Coef: 0.7753
+- Train Iou: 0.6464
+- Validation Loss: 0.0232
+- Validation Dice Coef: 0.8505
+- Validation Iou: 0.7439
 - Train Lr: 1e-10
-- Epoch: 74
+- Epoch: 75
 
 ## Model description
 
@@ -122,6 +122,7 @@ The following hyperparameters were used during training:
 | 0.0186     | 0.7784          | 0.6516    | 0.0234          | 0.8484               | 0.7414         | 1e-10    | 72    |
 | 0.0187     | 0.7706          | 0.6424    | 0.0236          | 0.8483               | 0.7407         | 1e-10    | 73    |
 | 0.0189     | 0.7720          | 0.6430    | 0.0237          | 0.8481               | 0.7401         | 1e-10    | 74    |
+| 0.0189     | 0.7753          | 0.6464    | 0.0232          | 0.8505               | 0.7439         | 1e-10    | 75    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f6320d4434d2af75ef6a0ca235c02b0e28eb614450c6fbe625e7dcf7469600e5
+oid sha256:88763afc87236820c3ea6cd6be620666d8a5c94eda7992bf81fdb5a5454ff226
 size 15133664