Training in progress epoch 57

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: 0.0523
-- Train Dice Coef: 0.8376
-- Train Iou: 0.7347
-- Validation Loss: 0.0456
-- Validation Dice Coef: 0.8846
-- Validation Iou: 0.7940
+- Train Loss: 0.0520
+- Train Dice Coef: 0.8466
+- Train Iou: 0.7441
+- Validation Loss: 0.0448
+- Validation Dice Coef: 0.8856
+- Validation Iou: 0.7956
 - Train Lr: 1e-10
-- Epoch: 56
+- Epoch: 57
 
 ## Model description
 
@@ -104,6 +104,7 @@ The following hyperparameters were used during training:
 | 0.0523     | 0.8359          | 0.7337    | 0.0442          | 0.8860               | 0.7962         | 1e-10    | 54    |
 | 0.0523     | 0.8352          | 0.7333    | 0.0440          | 0.8867               | 0.7974         | 1e-10    | 55    |
 | 0.0523     | 0.8376          | 0.7347    | 0.0456          | 0.8846               | 0.7940         | 1e-10    | 56    |
+| 0.0520     | 0.8466          | 0.7441    | 0.0448          | 0.8856               | 0.7956         | 1e-10    | 57    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3f77f06b1f30302ffa11de0d9da9e947507dd0c388b316faf168f2562ff632d8
+oid sha256:0b150bd5a5734f407dd7f0e09fa6330ae38f57551ea53f86b1ff5cf4f50a13c3
 size 15133664