Training in progress epoch 58

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: 0.8466
-- Train Iou: 0.7441
-- Validation Loss: 0.0448
-- Validation Dice Coef: 0.8856
-- Validation Iou: 0.7956
+- Train Loss: 0.0524
+- Train Dice Coef: 0.8382
+- Train Iou: 0.7357
+- Validation Loss: 0.0433
+- Validation Dice Coef: 0.8875
+- Validation Iou: 0.7987
 - Train Lr: 1e-10
-- Epoch: 57
+- Epoch: 58
 
 ## Model description
 
@@ -105,6 +105,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.0524     | 0.8382          | 0.7357    | 0.0433          | 0.8875               | 0.7987         | 1e-10    | 58    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0b150bd5a5734f407dd7f0e09fa6330ae38f57551ea53f86b1ff5cf4f50a13c3
+oid sha256:5a1a11d058a7e0f2119a84bc0b9d19a3daf81a7bf0ff068a9385d8bbdc012c80
 size 15133664