Training in progress epoch 41

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: 0.0189
-- Train Dice Coef: 0.7770
-- Train Iou: 0.6491
-- Validation Loss: 0.0234
-- Validation Dice Coef: 0.8479
-- Validation Iou: 0.7402
-- Train Lr: 1.25e-08
-- Epoch: 40
+- Train Loss: 0.0187
+- Train Dice Coef: 0.7793
+- Train Iou: 0.6507
+- Validation Loss: 0.0233
+- Validation Dice Coef: 0.8507
+- Validation Iou: 0.7441
+- Train Lr: 6.25e-10
+- Epoch: 41
 
 ## Model description
 
@@ -88,6 +88,7 @@ The following hyperparameters were used during training:
 | 0.0187     | 0.7791          | 0.6502    | 0.0234          | 0.8496               | 0.7424         | 1.25e-08 | 38    |
 | 0.0189     | 0.7743          | 0.6446    | 0.0237          | 0.8501               | 0.7429         | 1.25e-08 | 39    |
 | 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    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e3b016a6fe5e4519287ec22255320447a7a6194bf3d4fc3b8ea73adc2dbacaf0
 size 15133664