Training in progress epoch 54

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: 0.0520
-- Train Dice Coef: 0.8447
-- Train Iou: 0.7432
-- Validation Loss: 0.0443
-- Validation Dice Coef: 0.8854
-- Validation Iou: 0.7954
+- Train Loss: 0.0523
+- Train Dice Coef: 0.8359
+- Train Iou: 0.7337
+- Validation Loss: 0.0442
+- Validation Dice Coef: 0.8860
+- Validation Iou: 0.7962
 - Train Lr: 1e-10
-- Epoch: 53
+- Epoch: 54
 
 ## Model description
 
@@ -101,6 +101,7 @@ The following hyperparameters were used during training:
 | 0.0523     | 0.8469          | 0.7463    | 0.0448          | 0.8852               | 0.7951         | 1e-10    | 51    |
 | 0.0515     | 0.8375          | 0.7362    | 0.0459          | 0.8825               | 0.7909         | 1e-10    | 52    |
 | 0.0520     | 0.8447          | 0.7432    | 0.0443          | 0.8854               | 0.7954         | 1e-10    | 53    |
+| 0.0523     | 0.8359          | 0.7337    | 0.0442          | 0.8860               | 0.7962         | 1e-10    | 54    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fc07d2ba9f1864241ba141c5978dc2699e72f42f0ab31774ebb15b3c4a4163d2
+oid sha256:e746a0507623ee94ddbd62b8d5f2290ddc2aaef1215cc1d13caa209eaceced42
 size 15133664