Training in progress epoch 43

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: 0.0186
-- Train Dice Coef: 0.7788
-- Train Iou: 0.6505
-- Validation Loss: 0.0231
-- Validation Dice Coef: 0.8502
-- Validation Iou: 0.7434
+- Train Loss: 0.0188
+- Train Dice Coef: 0.7773
+- Train Iou: 0.6491
+- Validation Loss: 0.0232
+- Validation Dice Coef: 0.8510
+- Validation Iou: 0.7443
 - Train Lr: 6.25e-10
-- Epoch: 42
+- Epoch: 43
 
 ## Model description
 
@@ -90,6 +90,7 @@ The following hyperparameters were used during training:
 | 0.0189     | 0.7770          | 0.6491    | 0.0234          | 0.8479               | 0.7402         | 1.25e-08 | 40    |
 | 0.0187     | 0.7793          | 0.6507    | 0.0233          | 0.8507               | 0.7441         | 6.25e-10 | 41    |
 | 0.0186     | 0.7788          | 0.6505    | 0.0231          | 0.8502               | 0.7434         | 6.25e-10 | 42    |
+| 0.0188     | 0.7773          | 0.6491    | 0.0232          | 0.8510               | 0.7443         | 6.25e-10 | 43    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b6e159f43dfd4e68ba4bfb976d6ff575ddb8d7c9f4a5a1e90413d1252d887ceb
+oid sha256:4d7cd22d5abd1b60519a81db79c8b01d8247b5ca216ff8c3ef907321d5936acd
 size 15133664