Training in progress epoch 52

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: 0.0421
-- Train Dice Coef: 0.8838
-- Train Iou: 0.7937
-- Validation Loss: 0.0431
-- Validation Dice Coef: 0.8891
-- Validation Iou: 0.8014
+- Train Loss: 0.0424
+- Train Dice Coef: 0.8820
+- Train Iou: 0.7907
+- Validation Loss: 0.0436
+- Validation Dice Coef: 0.8884
+- Validation Iou: 0.8003
 - Train Lr: 1e-10
-- Epoch: 51
+- Epoch: 52
 
 ## Model description
 
@@ -99,6 +99,7 @@ The following hyperparameters were used during training:
 | 0.0423     | 0.8826          | 0.7916    | 0.0433          | 0.8895               | 0.8021         | 6.25e-10 | 49    |
 | 0.0425     | 0.8827          | 0.7918    | 0.0433          | 0.8896               | 0.8023         | 1e-10    | 50    |
 | 0.0421     | 0.8838          | 0.7937    | 0.0431          | 0.8891               | 0.8014         | 1e-10    | 51    |
+| 0.0424     | 0.8820          | 0.7907    | 0.0436          | 0.8884               | 0.8003         | 1e-10    | 52    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:793ed4a4a10f4fc229b86f39a16838918e310f1f6b3015d78f137da5cfe263aa
 size 15133664